Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For:	Thibault RT, Lifshitz M, Raz A. Neurofeedback or neuroplacebo? Brain 2017;140:862-864. [PMID: 28375458 DOI: 10.1093/brain/awx033] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open

Number

Cited by Other Article(s)

Perez TM, Adhia DB, Glue P, Zeng J, Dillingham P, Navid MS, Niazi IK, Young CK, Smith M, De Ridder D. Infraslow Closed-Loop Brain Training for Anxiety and Depression (ISAD): A pilot randomised, sham-controlled trial in adult females with internalizing disorders. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2025:10.3758/s13415-025-01279-z. [PMID: 40102367 DOI: 10.3758/s13415-025-01279-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/06/2025] [Indexed: 03/20/2025]

Abstract

INTRODUCTION

The core resting-state networks (RSNs) have been shown to be dysfunctional in individuals with internalizing disorders (IDs; e.g., anxiety, depression). Source-localised, closed-loop brain training of infraslow (≤ 0.1 Hz) EEG signals may have the potential to reduce symptoms associated with IDs and restore normal core RSN function.

METHODS

We conducted a pilot randomized, double-blind, sham-controlled, parallel-group (3-arm) trial of infraslow neurofeedback (ISF-NFB) in adult females (n = 60) with IDs. Primary endpoints, which included the Hospital Anxiety and Depression Scale (HADS) and resting-state EEG activity and connectivity, were measured at baseline and post 6 sessions.

RESULTS

This study found credible evidence of strong nonspecific effects as evidenced by clinically important HADS score improvements (i.e., reductions) across groups. An absence of HADS score change differences between the sham and active groups indicated a lack of specific effects. Although there were credible slow (0.2-1.5 Hz) and delta (2-3.5 Hz) band activity reductions in the 1-region ISF-NFB group relative to sham within the targeted region of interest (i.e., posterior cingulate), differences in activity and connectivity modulation in the targeted frequency band of interest (i.e., ISFs = 0.01-0.1 Hz) were lacking between sham and active groups. Credible positive associations between changes in HADS depression scores and anterior cingulate cortex slow and delta activity also were found.

CONCLUSIONS

Short-term sham and genuine ISF-NFB resulted in rapid, clinically important improvements that were nonspecific in nature and possibly driven by placebo-related mechanisms. Future ISF-NFB trials should consider implementing design modifications that may better induce differential modulation of ISFs between sham and treatment groups, thereby enhancing the potential for specific clinical effects in ID populations.

TRIAL REGISTRATION

The trial was prospectively registered with the Australia New Zealand Clinical Trials Registry (ANZCTR; Trial ID: ACTRN12619001428156).

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Hohn VD, Tiemann L, Bott FS, May ES, Fritzen C, Nickel MM, Gil Ávila C, Ploner M. Neurofeedback and attention modulate somatosensory alpha oscillations but not pain perception. PLoS Biol 2025;23:e3002972. [PMID: 39847605 PMCID: PMC11756787 DOI: 10.1371/journal.pbio.3002972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 12/06/2024] [Indexed: 01/25/2025] Open

Chikhi S, Matton N, Sanna M, Blanchet S. Effects of one session of theta or high alpha neurofeedback on EEG activity and working memory. COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2024;24:1065-1083. [PMID: 39322825 DOI: 10.3758/s13415-024-01218-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/15/2024] [Indexed: 09/27/2024]

Abstract

Neurofeedback techniques provide participants immediate feedback on neuronal signals, enabling them to modulate their brain activity. This technique holds promise to unveil brain-behavior relationship and offers opportunities for neuroenhancement. Establishing causal relationships between modulated brain activity and behavioral improvements requires rigorous experimental designs, including appropriate control groups and large samples. Our primary objective was to examine whether a single neurofeedback session, designed to enhance working memory through the modulation of theta or high-alpha frequencies, elicits specific changes in electrophysiological and cognitive outcomes. Additionally, we explored predictors of successful neuromodulation. A total of 101 healthy adults were assigned to groups trained to increase frontal theta, parietal high alpha, or random frequencies (active control group). We measured resting-state EEG, working memory performance, and self-reported psychological states before and after one neurofeedback session. Although our analyses revealed improvements in electrophysiological and behavioral outcomes, these gains were not specific to the experimental groups. An increase in the frequency targeted by the training has been observed for the theta and high alpha groups, but training designed to increase randomly selected frequencies appears to induce more generalized neuromodulation compared with targeting a specific frequency. Among all the predictors of neuromodulation examined, resting theta and high alpha amplitudes predicted specifically the increase of those frequencies during the training. These results highlight the challenge of integrating a control group based on enhancing randomly selected frequency bands and suggest potential avenues for optimizing interventions (e.g., by including a control group trained in both up- and down-regulation).

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Kober SE, Wood G, Berger LM. Controlling Virtual Reality With Brain Signals: State of the Art of Using VR-Based Feedback in Neurofeedback Applications. Appl Psychophysiol Biofeedback 2024:10.1007/s10484-024-09677-8. [PMID: 39542998 DOI: 10.1007/s10484-024-09677-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/30/2024] [Indexed: 11/17/2024]

Recio-Rodriguez JI, Fernandez-Crespo M, Sanchez-Aguadero N, Gonzalez-Sanchez J, Garcia-Yu IA, Alonso-Dominguez R, Chiu HY, Tsai PS, Lee HC, Rihuete-Galve MI. Neurofeedback to enhance sleep quality and insomnia: a systematic review and meta-analysis of randomized clinical trials. Front Neurosci 2024;18:1450163. [PMID: 39568666 PMCID: PMC11576419 DOI: 10.3389/fnins.2024.1450163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 10/25/2024] [Indexed: 11/22/2024] Open

Abstract

Objective

This systematic review and meta-analysis of randomized-clinical trials aims to analyze the effect of interventions incorporating surface neurofeedback techniques on self-perceived sleep quality and insomnia in patients with or without sleep disturbances.

Methods

The review was completed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement and was deposited in the Prospero international prospective registry of systematic reviews (CRD42024528401). Seven clinical trials with different main outcomes but with pre-post intervention records of self-perceived sleep quality or insomnia symptoms assessed by questionnaires met our inclusion criteria, including a publication date within the last 10 years. Five trials investigated sleep quality through scores on the Pittsburgh sleep quality Index (PSQI) and three trials signs of insomnia severity assessed with validated scales. The methodological quality of the included studies was assessed using the Cochrane Collaboration's tool for assessing the risk of bias and showed a high quality of them.

Results

A total of 5 studies that evaluated sleep quality with the PSQI total score were included in the meta-analysis. The results revealed that control conditions succeeded in improving PSQI-assessed sleep quality more than the analyzed Neurofeedback interventions (PSQI total score 0.57; 95% CI 0.13 to 1.01; p = 0.01). On the other hand, a total of 3 studies that evaluated insomnia severity with various insomnia scales were included in the meta-analysis The results revealed that neither the NF interventions nor the control conditions show a favorable outcome relative to each other (-0.13; 95% CI -0.44 to 0.18; p = 0.41).

Conclusion

The interventions studied mostly apply a neurofeedback training protocol based on maintaining alpha waves in a range between 8 and 12 Hz, with electrode positioning in the frontal area or in the sensorimotor cortex and with a number of neurofeedback sessions ranging from 8 to 20 sessions. The meta-analysis showed that interventions incorporating surface neurofeedback do not produce additional benefits in self-perception of sleep quality or insomnia compared to a wide variety of control conditions including cognitive behavioral treatment or other biofeedback modalities.

Systematic review registration

PROSPERO - International prospective register of systematic reviews - CRD42024528401 https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=528401.

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Affiliation(s)

Jose I Recio-Rodriguez Facultad de Enfermería y Fisioterapia, Universidad de Salamanca, Unidad de Investigación de Atención Primaria de Salamanca (APISAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), Salamanca, Spain
Mei Fernandez-Crespo Universidad de Salamanca, Unidad de Investigación de Atención Primaria de Salamanca (APISAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
Natalia Sanchez-Aguadero Facultad de Enfermería y Fisioterapia, Universidad de Salamanca, Unidad de Investigación de Atención Primaria de Salamanca (APISAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), Salamanca, Spain
Jesús Gonzalez-Sanchez Facultad de Enfermería y Fisioterapia, Universidad de Salamanca, Unidad de Investigación de Atención Primaria de Salamanca (APISAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), Salamanca, Spain
Irene A Garcia-Yu Universidad de Salamanca, Unidad de Investigación de Atención Primaria de Salamanca (APISAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Salamanca, Spain
Rosario Alonso-Dominguez Facultad de Enfermería y Fisioterapia, Universidad de Salamanca, Unidad de Investigación de Atención Primaria de Salamanca (APISAL), Instituto de Investigación Biomédica de Salamanca (IBSAL), Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), Salamanca, Spain
Hsiao-Yean Chiu School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan
Pei-Shan Tsai School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan
Hsin-Chien Lee College of Humanities and Social Sciences, Graduate Institute of Humanities in Medicine, Taipei Medical University, Taipei, Taiwan
Maria I Rihuete-Galve Facultad de Enfermería y Fisioterapia, Universidad de Salamanca, Instituto de Investigación Biomédica de Salamanca (IBSAL), Hospital Universitario de Salamanca, Salamanca, Spain

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Misaki M, Tsuchiyagaito A, Guinjoan SM, Rohan ML, Paulus MP. Whole-brain mechanism of neurofeedback therapy: predictive modeling of neurofeedback outcomes on repetitive negative thinking in depression. Transl Psychiatry 2024;14:354. [PMID: 39227376 PMCID: PMC11371824 DOI: 10.1038/s41398-024-03066-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 08/20/2024] [Accepted: 08/23/2024] [Indexed: 09/05/2024] Open

Abstract

Real-time fMRI neurofeedback (rtfMRI-NF) has emerged as a promising intervention for psychiatric disorders, yet its clinical efficacy remains underexplored due to an incomplete mechanistic understanding. This study aimed to delineate the whole-brain mechanisms underpinning the effects of rtfMRI-NF on repetitive negative thinking in depression. In a double-blind randomized controlled trial, forty-three depressed individuals underwent NF training targeting the functional connectivity (FC) between the posterior cingulate cortex and the right temporoparietal junction, linked to rumination severity. Participants were randomly assigned to active or sham groups, with the sham group receiving synthesized feedback mimicking real NF signal patterns. The active group demonstrated a significant reduction in brooding rumination scores (d = -1.52, p < 0.001), whereas the sham group did not (d = -0.23, p = 0.503). While the target FC did not show discernible training effects or group differences, connectome-based predictive modeling (CPM) analysis revealed that the interaction between brain activity during regulation and brain response to the feedback signal was the critical factor in explaining treatment outcomes. The model incorporating this interaction successfully predicted rumination changes across both groups. The FCs significantly contributing to the prediction were distributed across brain regions, notably the frontal control, salience network, and subcortical reward processing areas. These results underscore the importance of considering the interplay between brain regulation activities and brain response to the feedback signal in understanding the therapeutic mechanisms of rtfMRI-NF. The study affirms rtfMRI-NF's potential as a therapeutic intervention for repetitive negative thinking and highlights the need for a nuanced understanding of the whole-brain mechanisms contributing to its efficacy.

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Grössinger D, Spann SM, Stollberger R, Pfeuffer J, Koten JW, Wood G. Real-time fMRI neurofeedback of the anterior insula using arterial spin labelling. Eur J Neurosci 2024;60:5400-5412. [PMID: 39193617 DOI: 10.1111/ejn.16502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 07/02/2024] [Accepted: 07/28/2024] [Indexed: 08/29/2024]

Oprea DC, Mawas I, Moroșan CA, Iacob VT, Cămănaru EM, Cristofor AC, Dobrin RP, Gireadă B, Petrariu FD, Chiriță R. A Systematic Review of the Effects of EEG Neurofeedback on Patients with Schizophrenia. J Pers Med 2024;14:763. [PMID: 39064017 PMCID: PMC11278179 DOI: 10.3390/jpm14070763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 07/16/2024] [Accepted: 07/17/2024] [Indexed: 07/28/2024] Open

Affiliation(s)

Dan Cătălin Oprea Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.) Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania
Iasmin Mawas Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.)
Cătălina Andreea Moroșan Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.) Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania
Vlad Teodor Iacob Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.) Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania
Eliza Mihaela Cămănaru Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.) Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania
Ana Caterina Cristofor Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.) Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania
Romeo Petru Dobrin Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.) Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania
Bogdan Gireadă Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.) Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania
Florin Dumitru Petrariu Department of Preventive Medicine and Interdisciplinarity, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania;
Roxana Chiriță Department of Medicine III, Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy of Iasi, 700115 Iasi, Romania; (D.C.O.); (I.M.); (C.A.M.); (V.T.I.); (E.M.C.); (A.C.C.); (B.G.); (R.C.) Institute of Psychiatry “Socola”, 36 Bucium Street, 700282 Iasi, Romania

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Schmidt C. The potential of infra-low frequency neurofeedback training in peak performance: The first double-blinded placebo-controlled longitudinal study in healthy adults. J Psychiatr Res 2024;175:280-286. [PMID: 38759495 DOI: 10.1016/j.jpsychires.2024.04.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 04/09/2024] [Accepted: 04/18/2024] [Indexed: 05/19/2024]

Pfeiffer M, Kübler A, Hilger K. Modulation of human frontal midline theta by neurofeedback: A systematic review and quantitative meta-analysis. Neurosci Biobehav Rev 2024;162:105696. [PMID: 38723734 DOI: 10.1016/j.neubiorev.2024.105696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 03/27/2024] [Accepted: 04/26/2024] [Indexed: 05/19/2024]

Kober SE, Wood G, Schuster S, Körner C. Do Miniature Eye Movements Affect Neurofeedback Training Performance? A Combined EEG-Eye Tracking Study. Appl Psychophysiol Biofeedback 2024;49:313-327. [PMID: 38492124 PMCID: PMC11101551 DOI: 10.1007/s10484-024-09625-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/08/2024] [Indexed: 03/18/2024]

Torres CB, Barona EJG, Molina MG, Sánchez MEGB, Manso JMM. A systematic review of EEG neurofeedback in fibromyalgia to treat psychological variables, chronic pain and general health. Eur Arch Psychiatry Clin Neurosci 2024;274:981-999. [PMID: 37179502 PMCID: PMC11127810 DOI: 10.1007/s00406-023-01612-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 04/11/2023] [Indexed: 05/15/2023]

Gacek M, Smoleń T, Krzywoszański Ł, Bartecka-Śmietana A, Kulasek-Filip B, Piotrowska M, Sepielak D, Supernak K. Effects of School-Based Neurofeedback Training on Attention in Students with Autism and Intellectual Disabilities. J Autism Dev Disord 2024:10.1007/s10803-024-06400-8. [PMID: 38806749 DOI: 10.1007/s10803-024-06400-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/06/2024] [Indexed: 05/30/2024]

Ubeda Matzilevich E, Daniel PL, Little S. Towards therapeutic electrophysiological neurofeedback in Parkinson's disease. Parkinsonism Relat Disord 2024;121:106010. [PMID: 38245382 DOI: 10.1016/j.parkreldis.2024.106010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 01/10/2024] [Accepted: 01/12/2024] [Indexed: 01/22/2024]

Fassi L, Hochman S, Daskalakis ZJ, Blumberger DM, Cohen Kadosh R. The importance of individual beliefs in assessing treatment efficacy. eLife 2024;12:RP88889. [PMID: 38547008 PMCID: PMC10977967 DOI: 10.7554/elife.88889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024] Open

Abstract

In recent years, there has been debate about the effectiveness of treatments from different fields, such as neurostimulation, neurofeedback, brain training, and pharmacotherapy. This debate has been fuelled by contradictory and nuanced experimental findings. Notably, the effectiveness of a given treatment is commonly evaluated by comparing the effect of the active treatment versus the placebo on human health and/or behaviour. However, this approach neglects the individual's subjective experience of the type of treatment she or he received in establishing treatment efficacy. Here, we show that individual differences in subjective treatment - the thought of receiving the active or placebo condition during an experiment - can explain variability in outcomes better than the actual treatment. We analysed four independent datasets (N = 387 participants), including clinical patients and healthy adults from different age groups who were exposed to different neurostimulation treatments (transcranial magnetic stimulation: Studies 1 and 2; transcranial direct current stimulation: Studies 3 and 4). Our findings show that the inclusion of subjective treatment can provide a better model fit either alone or in interaction with objective treatment (defined as the condition to which participants are assigned in the experiment). These results demonstrate the significant contribution of subjective experience in explaining the variability of clinical, cognitive, and behavioural outcomes. We advocate for existing and future studies in clinical and non-clinical research to start accounting for participants' subjective beliefs and their interplay with objective treatment when assessing the efficacy of treatments. This approach will be crucial in providing a more accurate estimation of the treatment effect and its source, allowing the development of effective and reproducible interventions.

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Marcu GM, Dumbravă A, Băcilă IC, Szekely-Copîndean RD, Zăgrean AM. Increasing Value and Reducing Waste of Research on Neurofeedback Effects in Post-traumatic Stress Disorder: A State-of-the-Art-Review. Appl Psychophysiol Biofeedback 2024;49:23-45. [PMID: 38151684 DOI: 10.1007/s10484-023-09610-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]

Abstract

Post-Traumatic Stress Disorder (PTSD) is often considered challenging to treat due to factors that contribute to its complexity. In the last decade, more attention has been paid to non-pharmacological or non-psychological therapies for PTSD, including neurofeedback (NFB). NFB is a promising non-invasive technique targeting specific brainwave patterns associated with psychiatric symptomatology. By learning to regulate brain activity in a closed-loop paradigm, individuals can improve their functionality while reducing symptom severity. However, owing to its lax regulation and heterogeneous legal status across different countries, the degree to which it has scientific support as a psychiatric treatment remains controversial. In this state-of-the-art review, we searched PubMed, Cochrane Central, Web of Science, Scopus, and MEDLINE and identified meta-analyses and systematic reviews exploring the efficacy of NFB for PTSD. We included seven systematic reviews, out of which three included meta-analyses (32 studies and 669 participants) that targeted NFB as an intervention while addressing a single condition-PTSD. We used the MeaSurement Tool to Assess systematic Reviews (AMSTAR) 2 and the criteria described by Cristea and Naudet (Behav Res Therapy 123:103479, 2019, https://doi.org/10.1016/j.brat.2019.103479 ) to identify sources of research waste and increasing value in biomedical research. The seven assessed reviews had an overall extremely poor quality score (5 critically low, one low, one moderate, and none high) and multiple sources of waste while opening opportunities for increasing value in the NFB literature. Our research shows that it remains unclear whether NFB training is significantly beneficial in treating PTSD. The quality of the investigated literature is low and maintains a persistent uncertainty over numerous points, which are highly important for deciding whether an intervention has clinical efficacy. Just as importantly, none of the reviews we appraised explored the statistical power, referred to open data of the included studies, or adjusted their pooled effect sizes for publication bias and risk of bias. Based on the obtained results, we identified some recurrent sources of waste (such as a lack of research decisions based on sound questions or using an appropriate methodology in a fully transparent, unbiased, and useable manner) and proposed some directions for increasing value (homogeneity and consensus) in designing and reporting research on NFB interventions in PTSD.

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Jensen M, Alanis JCG, Hüttenrauch E, Winther-Jensen M, Chavanon ML, Andersson G, Weise C. Does it matter what is trained? A randomized controlled trial evaluating the specificity of alpha/delta ratio neurofeedback in reducing tinnitus symptoms. Brain Commun 2023;5:fcad185. [PMID: 37680692 PMCID: PMC10481778 DOI: 10.1093/braincomms/fcad185] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 05/18/2023] [Accepted: 06/22/2023] [Indexed: 09/09/2023] Open

Abstract

Previous studies showed that alpha/delta ratio neurofeedback was effective in reducing unpleasant psychological, emotional and perceptual consequences of tinnitus. The main goal of the present study was to investigate, whether the specific combination of enhancing alpha frequency band activity and reducing delta frequency band activity was necessary, or merely sufficient, to obtain a positive treatment outcome regarding tinnitus distress and intensity. A second research aim was to assess the relative contribution of neurofeedback-related non-specific and general non-specific effects in neurofeedback treatment. In a three-arm, randomized controlled trial, 94 chronic tinnitus patients were randomly assigned to one of three conditions: alpha/delta ratio neurofeedback (n = 31), beta/theta ratio neurofeedback (n = 28) and non-neurofeedback minimal treatment intervention (n = 35). Neurofeedback participants underwent 10 treatment sessions over a 4-week period. Outcome measures were collected pre-, mid- and post-interventions and at 3-months follow-up. The Tinnitus Handicap Inventory and the Tinnitus Magnitude Index were used as primary outcome measures for tinnitus distress and tinnitus intensity. EEG data recorded during training supplemented primary outcomes. Since data were repeated measures, the analyses used a two-level mixed effects model approach including by-subject random effects (random intercept). For the Tinnitus Handicap Inventory, the results showed no interaction effect. For the Tinnitus Magnitude Index, the analysis showed a significant time × group interaction, indicating that both alpha/delta ratio neurofeedback and beta/theta ratio neurofeedback reported reduced tinnitus intensity. Analysis of EEG data showed a consistent pattern for the alpha/delta ratio over the course of training. Compared to beta/theta ratio neurofeedback, alpha/delta ratio neurofeedback showed an elevated response. Conversely, for the beta ratio to theta ratio, the pattern was more inconsistent, with no clear indication of superiority for beta/theta ratio neurofeedback over alpha/delta ratio neurofeedback. The main question of this piece of research was whether alpha/delta ratio neurofeedback demonstrated frequency band specificity in the alleviation of tinnitus distress and perceived intensity. Results showed that alpha/delta ratio neurofeedback was sufficient but importantly 'not' necessary to achieve a positive outcome on both the Tinnitus Handicap Inventory and Tinnitus Magnitude Index, when compared to beta/theta ratio neurofeedback. Still, the data suggest a trend towards specificity for alpha/delta ratio neurofeedback. Because of this, it may be too premature to discard alpha/delta ratio neurofeedback in the treatment of tinnitus. Recommendations for future studies are outlined.

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Li BZ, Nan W, Pun SH, Vai MI, Rosa A, Wan F. Modulating Individual Alpha Frequency through Short-Term Neurofeedback for Cognitive Enhancement in Healthy Young Adults. Brain Sci 2023;13:926. [PMID: 37371404 DOI: 10.3390/brainsci13060926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 05/31/2023] [Accepted: 06/01/2023] [Indexed: 06/29/2023] Open

Autenrieth M, Kober SE, Wood G. Assessment of the capacity to modulate brain signals in a home-based SMR neurofeedback training setting. Front Hum Neurosci 2023;16:1032222. [PMID: 36684842 PMCID: PMC9849904 DOI: 10.3389/fnhum.2022.1032222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 12/12/2022] [Indexed: 01/07/2023] Open

Lam SL, Criaud M, Lukito S, Westwood SJ, Agbedjro D, Kowalczyk OS, Curran S, Barret N, Abbott C, Liang H, Simonoff E, Barker GJ, Giampietro V, Rubia K. Double-Blind, Sham-Controlled Randomized Trial Testing the Efficacy of fMRI Neurofeedback on Clinical and Cognitive Measures in Children With ADHD. Am J Psychiatry 2022;179:947-958. [PMID: 36349428 PMCID: PMC7614456 DOI: 10.1176/appi.ajp.21100999] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]

Affiliation(s)

Sheut-Ling Lam Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
Marion Criaud Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
Steve Lukito Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
Samuel J Westwood Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
Deborah Agbedjro Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
Olivia S Kowalczyk Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
Sarah Curran Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
Nadia Barret Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
Chris Abbott Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
Holan Liang Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
Emily Simonoff Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
Gareth J Barker Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
Vincent Giampietro Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)
Katya Rubia Department of Child and Adolescent Psychiatry (Lam, Criaud, Lukito, Westwood, Simonoff, Rubia), Department of Neuroimaging (Kowalczyk, Barker, Giampietro), and Department of Biostatistics (Agbedjro), King's College London; Institute for Globally Distributed Open Research and Education (Criaud); Institute of Human Sciences, University of Wolverhampton, Wolverhampton, U.K. (Westwood); Department of Psychology, School of Social Science, University of Westminster, London (Westwood); Southwest London and St George's Mental Health NHS Trust, London (Curran); South London and Maudsley NHS Foundation Trust, London (Barret, Abbott); Great Ormond Street Hospital for Children NHS Foundation Trust, London (Liang); Department of Child and Adolescent Psychiatry, Technical University Dresden, Germany (Rubia)

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Kalokairinou L, Specker Sullivan L, Wexler A. Neurofeedback as placebo: a case of unintentional deception? JOURNAL OF MEDICAL ETHICS 2022;48:1037-1042. [PMID: 34521768 PMCID: PMC9205641 DOI: 10.1136/medethics-2021-107435] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 08/18/2021] [Indexed: 05/27/2023]

Perez TM, Glue P, Adhia DB, Navid MS, Zeng J, Dillingham P, Smith M, Niazi IK, Young CK, De Ridder D. Infraslow closed-loop brain training for anxiety and depression (ISAD): a protocol for a randomized, double-blind, sham-controlled pilot trial in adult females with internalizing disorders. Trials 2022;23:949. [PMID: 36397122 PMCID: PMC9670077 DOI: 10.1186/s13063-022-06863-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 10/22/2022] [Indexed: 11/18/2022] Open

Abstract

BACKGROUND

The core intrinsic connectivity networks (core-ICNs), encompassing the default-mode network (DMN), salience network (SN) and central executive network (CEN), have been shown to be dysfunctional in individuals with internalizing disorders (IDs, e.g. major depressive disorder, MDD; generalized anxiety disorder, GAD; social anxiety disorder, SOC). As such, source-localized, closed-loop brain training of electrophysiological signals, also known as standardized low-resolution electromagnetic tomography (sLORETA) neurofeedback (NFB), targeting key cortical nodes within these networks has the potential to reduce symptoms associated with IDs and restore normal core ICN function. We intend to conduct a randomized, double-blind (participant and assessor), sham-controlled, parallel-group (3-arm) trial of sLORETA infraslow (<0.1 Hz) fluctuation neurofeedback (sLORETA ISF-NFB) 3 times per week over 4 weeks in participants (n=60) with IDs. Our primary objectives will be to examine patient-reported outcomes (PROs) and neurophysiological measures to (1) compare the potential effects of sham ISF-NFB to either genuine 1-region ISF-NFB or genuine 2-region ISF-NFB, and (2) assess for potential associations between changes in PRO scores and modifications of electroencephalographic (EEG) activity/connectivity within/between the trained regions of interest (ROIs). As part of an exploratory analysis, we will investigate the effects of additional training sessions and the potential for the potentiation of the effects over time.

METHODS

We will randomly assign participants who meet the criteria for MDD, GAD, and/or SOC per the MINI (Mini International Neuropsychiatric Interview for DSM-5) to one of three groups: (1) 12 sessions of posterior cingulate cortex (PCC) ISF-NFB up-training (n=15), (2) 12 sessions of concurrent PCC ISF up-training and dorsal anterior cingulate cortex (dACC) ISF-NFB down-training (n=15), or (3) 6 sessions of yoked-sham training followed by 6 sessions genuine ISF-NFB (n=30). Transdiagnostic PROs (Hospital Anxiety and Depression Scale, HADS; Inventory of Depression and Anxiety Symptoms - Second Version, IDAS-II; Multidimensional Emotional Disorder Inventory, MEDI; Intolerance of Uncertainty Scale - Short Form, IUS-12; Repetitive Thinking Questionnaire, RTQ-10) as well as resting-state neurophysiological measures (full-band EEG and ECG) will be collected from all subjects during two baseline sessions (approximately 1 week apart) then at post 6 sessions, post 12 sessions, and follow-up (1 month later). We will employ Bayesian methods in R and advanced source-localisation software (i.e. exact low-resolution brain electromagnetic tomography; eLORETA) in our analysis.

DISCUSSION

This protocol will outline the rationale and research methodology for a clinical pilot trial of sLORETA ISF-NFB targeting key nodes within the core-ICNs in a female ID population with the primary aims being to assess its potential efficacy via transdiagnostic PROs and relevant neurophysiological measures.

TRIAL REGISTRATION

Our study was prospectively registered with the Australia New Zealand Clinical Trials Registry (ANZCTR; Trial ID: ACTRN12619001428156). Registered on October 15, 2019.

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Kalokairinou L, Choi R, Nagappan A, Wexler A. Opportunity Cost or Opportunity Lost: An Empirical Assessment of Ethical Concerns and Attitudes of EEG Neurofeedback Users. NEUROETHICS-NETH 2022;15:28. [PMID: 36249541 PMCID: PMC9555209 DOI: 10.1007/s12152-022-09506-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 09/15/2022] [Indexed: 10/14/2022]

Abstract

Background

Electroencephalography (EEG) neurofeedback is a type of biofeedback that purportedly teaches users how to control their brainwaves. Although neurofeedback is currently offered by thousands of providers worldwide, its provision is contested, as its effectiveness beyond a placebo effect is unproven. While scholars have voiced numerous ethical concerns about neurofeedback-regarding opportunity cost, physical and psychological harms, financial cost, and informed consent-to date these concerns have remained theoretical. This pilot study aimed to provide insights on whether these issues were supported by empirical data from the experiences of neurofeedback users.

Methods

Semi-structured telephone interviews were conducted with individuals who had used EEG neurofeedback for themselves and/or for a child.

Results

The majority of respondents (N = 36) were female (75%), white (92%), and of higher socioeconomic status relative to the U.S. population. Among adult users (n = 33), most (78.8%) resorted to neurofeedback after having tried other therapies and were satisfied with treatment (81.8%). The majority paid for neurofeedback out-of-pocket (72.7%) and considered it to be good value for money (84.8%). More than half (57.6%) considered neurofeedback to be a scientifically well-established therapy. However, of those, 78.9%were using neurofeedback for indications not adequately supported by scientific evidence.

Conclusion

Concerns regarding opportunity cost, physical and psychological harms, and financial cost are not substantiated by our findings. Our results partially support concerns regarding insufficient understanding of limitations. This study underlines the disconnect between some of the theoretical concerns raised by scholars regarding the use of non-validated therapies and the lived experiences of users.

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Berger LM, Wood G, Kober SE. Effects of virtual reality-based feedback on neurofeedback training performance—A sham-controlled study. Front Hum Neurosci 2022;16:952261. [PMID: 36034118 PMCID: PMC9411512 DOI: 10.3389/fnhum.2022.952261] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 07/13/2022] [Indexed: 11/21/2022] Open

Kvamme TL, Sarmanlu M, Overgaard M. Doubting the double-blind: Introducing a questionnaire for awareness of experimental purposes in neurofeedback studies. Conscious Cogn 2022;104:103381. [PMID: 35947940 DOI: 10.1016/j.concog.2022.103381] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 07/18/2022] [Accepted: 07/19/2022] [Indexed: 11/29/2022]

Riha C, Güntensperger D, Kleinjung T, Meyer M. Recovering Hidden Responder Groups in Individuals Receiving Neurofeedback for Tinnitus. Front Neurosci 2022;16:867704. [PMID: 35812211 PMCID: PMC9261875 DOI: 10.3389/fnins.2022.867704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 05/23/2022] [Indexed: 11/29/2022] Open

Abstract

The widespread understanding that chronic tinnitus is a heterogeneous phenomenon with various neural oscillatory profiles has spurred investigations into individualized approaches in its treatment. Neurofeedback, as a non-invasive tool for altering neural activity, has become increasingly popular in the personalized treatment of a wide range of neuropsychological disorders. Despite the success of neurofeedback on the group level, the variability in the treatment efficacy on the individual level is high, and evidence from recent studies shows that only a small number of people can effectively modulate the desired aspects of neural activity. To reveal who may be more suitable, and hence benefit most from neurofeedback treatment, we classified individuals into unobserved subgroups with similar oscillatory trajectories during the treatment and investigated how subgroup membership was predicted by a series of characteristics. Growth mixture modeling was used to identify distinct latent subgroups with similar oscillatory trajectories among 50 individuals suffering from chronic subjective tinnitus (38 male, 12 female, mean age = 47.1 ± 12.84) across 15 neurofeedback training sessions. Further, the impact of characteristics and how they predicted the affiliation in the identified subgroups was evaluated by including measures of demographics, tinnitus-specific (Tinnitus Handicap Inventory) and depression variables, as well as subjective quality of life subscales (World Health Organization—Quality of Life Questionnaire), and health-related quality of life subscales (Short Form-36) in a logistic regression analysis. A latent class model could be fitted to the longitudinal data with a high probability of correctly classifying distinct oscillatory patterns into 3 different groups: non-responder (80%), responder (16%), and decliner (4%). Further, our results show that the health-related wellbeing subscale of the Short Form-36 questionnaire was differentially associated with the groups. However, due to the small sample size in the Responder group, we are not able to provide sufficient evidence for a distinct responder profile. Nevertheless, the identification of oscillatory change-rate differences across distinct groups of individuals provides the groundwork from which to tease apart the complex and heterogeneous oscillatory processes underlying tinnitus and the attempts to modify these through neurofeedback. While more research is needed, our results and the analytical approach presented may bring clarity to contradictory past findings in the field of tinnitus research, and eventually influence clinical practice.

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Taylor JE, Yamada T, Kawashima T, Kobayashi Y, Yoshihara Y, Miyata J, Murai T, Kawato M, Motegi T. Depressive symptoms reduce when dorsolateral prefrontal cortex-precuneus connectivity normalizes after functional connectivity neurofeedback. Sci Rep 2022;12:2581. [PMID: 35173179 PMCID: PMC8850610 DOI: 10.1038/s41598-022-05860-1] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 01/18/2022] [Indexed: 11/09/2022] Open

Abstract

Depressive disorders contribute heavily to global disease burden; This is possibly because patients are often treated homogeneously, despite having heterogeneous symptoms with differing underlying neural mechanisms. A novel treatment that can directly influence the neural circuit relevant to an individual patient's subset of symptoms might more precisely and thus effectively aid in the alleviation of their specific symptoms. We tested this hypothesis in a proof-of-concept study using fMRI functional connectivity neurofeedback. We targeted connectivity between the left dorsolateral prefrontal cortex/middle frontal gyrus and the left precuneus/posterior cingulate cortex, because this connection has been well-established as relating to a specific subset of depressive symptoms. Specifically, this connectivity has been shown in a data-driven manner to be less anticorrelated in patients with melancholic depression than in healthy controls. Furthermore, a posterior cingulate dominant state-which results in a loss of this anticorrelation-is expected to specifically relate to an increase in rumination symptoms such as brooding. In line with predictions, we found that, with neurofeedback training, the more a participant normalized this connectivity (restored the anticorrelation), the more related (depressive and brooding symptoms), but not unrelated (trait anxiety), symptoms were reduced. Because these results look promising, this paradigm next needs to be examined with a greater sample size and with better controls. Nonetheless, here we provide preliminary evidence for a correlation between the normalization of a neural network and a reduction in related symptoms. Showing their reproducibility, these results were found in two experiments that took place several years apart by different experimenters. Indicative of its potential clinical utility, effects of this treatment remained one-two months later.Clinical trial registration: Both experiments reported here were registered clinical trials (UMIN000015249, jRCTs052180169).

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EEG Neurofeedback for Anxiety Disorders and Post-Traumatic Stress Disorders: A Blueprint for a Promising Brain-Based Therapy. Curr Psychiatry Rep 2021;23:84. [PMID: 34714417 DOI: 10.1007/s11920-021-01299-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/05/2021] [Indexed: 12/12/2022]

Neurofeedback for cognitive enhancement and intervention and brain plasticity. Rev Neurol (Paris) 2021;177:1133-1144. [PMID: 34674879 DOI: 10.1016/j.neurol.2021.08.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 08/27/2021] [Indexed: 12/18/2022]

Lambert-Beaudet F, Journault WG, Rudziavic Provençal A, Bastien CH. Neurofeedback for insomnia: Current state of research. World J Psychiatry 2021;11:897-914. [PMID: 34733650 PMCID: PMC8546766 DOI: 10.5498/wjp.v11.i10.897] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 05/18/2021] [Accepted: 08/27/2021] [Indexed: 02/06/2023] Open

Grosselin F, Breton A, Yahia-Cherif L, Wang X, Spinelli G, Hugueville L, Fossati P, Attal Y, Navarro-Sune X, Chavez M, George N. Alpha activity neuromodulation induced by individual alpha-based neurofeedback learning in ecological context: a double-blind randomized study. Sci Rep 2021;11:18489. [PMID: 34531416 PMCID: PMC8445968 DOI: 10.1038/s41598-021-96893-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 08/06/2021] [Indexed: 02/08/2023] Open

Rubia K, Westwood S, Aggensteiner PM, Brandeis D. Neurotherapeutics for Attention Deficit/Hyperactivity Disorder (ADHD): A Review. Cells 2021;10:2156. [PMID: 34440925 PMCID: PMC8394071 DOI: 10.3390/cells10082156] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 08/07/2021] [Accepted: 08/18/2021] [Indexed: 01/19/2023] Open

A randomized-controlled neurofeedback trial in adult attention-deficit/hyperactivity disorder. Sci Rep 2021;11:16873. [PMID: 34413344 PMCID: PMC8376871 DOI: 10.1038/s41598-021-95928-1] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 07/29/2021] [Indexed: 02/07/2023] Open

Abstract

Attention-deficit/hyperactivity disorder (ADHD) is a childhood onset disorder persisting into adulthood for a large proportion of cases. Neurofeedback (NF) has shown promising results in children with ADHD, but randomized controlled trials in adults with ADHD are scarce. We aimed to compare slow cortical potential (SCP)- and functional near-infrared spectroscopy (fNIRS) NF to a semi-active electromyography biofeedback (EMG-BF) control condition regarding changes in symptoms and the impact of learning success, as well as changes in neurophysiological parameters in an adult ADHD population. Patients were randomly assigned to SCP-NF (n = 26), fNIRS-NF (n = 21) or EMG-BF (n = 20). Outcome parameters were assessed over 30 training sessions (pre, intermediate, post) and at 6-months follow-up (FU) including 3 booster sessions. EEG was recorded during two auditory Go/NoGo paradigms assessing the P300 and contingent negative variation (CNV). fNIRS measurements were conducted during an n-back- as well as a Go/NoGo task. All three groups showed equally significant symptom improvements suggesting placebo- or non-specific effects on the primary outcome measure. Only when differentiating between learners and non-learners, fNIRS learners displayed stronger reduction of ADHD global scores compared to SCP non-learners at FU, and fNIRS learners showed specifically low impulsivity ratings. 30.8% in the SCP-NF and 61.9% of participants in the fNIRS-NF learned to regulate the respective NF target parameter. We conclude that some adults with ADHD learn to regulate SCP amplitudes and especially prefrontal hemodynamic activity during NF. We did not find any significant differences in outcome between groups when looking at the whole sample. When evaluating learners only, they demonstrate superior effects as compared to non-learners, which suggests specific effects in addition to non-specific effects of NF when learning occurs.

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Ide-Walters C, Thompson T. A Sham-Controlled Study of Neurofeedback for Pain Management. Front Neurosci 2021;15:591006. [PMID: 34381326 PMCID: PMC8350778 DOI: 10.3389/fnins.2021.591006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Accepted: 06/25/2021] [Indexed: 11/26/2022] Open

Abstract

Background

Neurofeedback (NFB) attempts to alter the brain’s electrophysiological activity and has shown potential as a pain management technique. Existing studies, however, often lack appropriate control groups or fail to assess whether electrophysiological activity has been successfully regulated. The current study is a randomized controlled trial comparing changes in brain activity and pain during NFB with those of a sham-control group.

Methods

An experimental pain paradigm in healthy participants was used to provide optimal control of pain sensation. Twenty four healthy participants were blind randomized to receive either 10 × NFB (with real EEG feedback) or 10 × sham (with false EEG feedback) sessions during noxious cold stimulation. Prior to actual NFB training, training protocols were individually determined for each participant based on a comparison of an initial 32-channel qEEG assessment administered at both baseline and during an experimental pain task. Each individual protocol was based on the electrode site and frequency band that showed the greatest change in amplitude during pain, with alpha or theta up-regulation at various electrode sites (especially Pz) the most common protocols chosen. During the NFB sessions themselves, pain was assessed at multiple times during each session on a 0–10 rating scale, and ANOVA was used to examine changes in pain ratings and EEG amplitude both across and during sessions for both NFB and sham groups.

Results

For pain, ANOVA trend analysis found a significant general linear decrease in pain across the 10 sessions (p = 0.015). However, no significant main or interaction effects of group were observed suggesting decreases in pain occurred independently of NFB. For EEG, there was a significant During Session X Group interaction (p = 0.004), which indicated that EEG amplitude at the training site was significantly closer to the target amplitude for the NFB compared to the sham group during painful stimulation, but this was only the case at the beginning of the cold task.

Conclusion

While these results must be interpreted within the context of an experimental pain model, they underline the importance of including an appropriate comparison group to avoid attributing naturally occurring changes to therapeutic effects.

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Trambaiolli LR, Cassani R, Mehler DMA, Falk TH. Neurofeedback and the Aging Brain: A Systematic Review of Training Protocols for Dementia and Mild Cognitive Impairment. Front Aging Neurosci 2021;13:682683. [PMID: 34177558 PMCID: PMC8221422 DOI: 10.3389/fnagi.2021.682683] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 05/03/2021] [Indexed: 11/24/2022] Open

Skalski S, Pochwatko G, Balas R. Effect of HEG biofeedback on selected cognitive functions—Randomized study in children with ADHD and neurotypical children. INFANT AND CHILD DEVELOPMENT 2021. [DOI: 10.1002/icd.2242] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]

Trambaiolli LR, Tiwari A, Falk TH. Affective Neurofeedback Under Naturalistic Conditions: A Mini-Review of Current Achievements and Open Challenges. FRONTIERS IN NEUROERGONOMICS 2021;2:678981. [PMID: 38235228 PMCID: PMC10790905 DOI: 10.3389/fnrgo.2021.678981] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 04/28/2021] [Indexed: 01/19/2024]

Nagappan A, Kalokairinou L, Wexler A. Ethical and Legal Considerations of Alternative Neurotherapies. AJOB Neurosci 2021;12:257-269. [PMID: 33759705 DOI: 10.1080/21507740.2021.1896601] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]

Schönenberg M, Weingärtner AL, Weimer K, Scheeff J. Believing is achieving - On the role of treatment expectation in neurofeedback applications. Prog Neuropsychopharmacol Biol Psychiatry 2021;105:110129. [PMID: 33031860 DOI: 10.1016/j.pnpbp.2020.110129] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 10/01/2020] [Accepted: 10/03/2020] [Indexed: 11/16/2022]

Abstract

In neurofeedback applications, neural activity is recorded, processed in real-time and fed back to the user in order to facilitate self-regulation of the putative neural mechanisms that underlie cognition and behavior. Numerous studies suggest that neurofeedback interventions are an efficacious treatment particularly for patients with attention-deficit/hyperactivity disorder (ADHD). In recent years, however, findings of several well-controlled studies raised doubts concerning the proposed mechanism of action behind the behavioral effect of neurofeedback. This study investigated the impact of expectation on the efficacy of a sensorimotor rhythm (SMR) training. In a within-subjects design 30 blinded volunteers with ADHD symptoms received a standard SMR training session after inducing no (no-expectancy condition), positive (placebo condition), and negative (nocebo condition) expectations regarding the effectiveness of neurofeedback (by telling them that they would train a specific frequency band that was previously shown to be either unrelated to attention, should improve attention, or interfere with attentional processes). After each training, participants were presented with a cognitive test and subsequently requested to rate their performance on it. We could show that participants were able to successfully modify their EEG signal during training. Further, we found an effect over trainings on objective attentional performance. Most importantly, we found that the expectancy of positive or negative treatment effects considerably changed participants' perception of neurofeedback's efficacy even in the absence of any objective evidence. This study presents strong first evidence for a substantial effect of self-confirming response expectancies as one factor underlying the efficacy of neurofeedback. Future research has to carefully consider the impact of such psychosocial mechanisms when evaluating the (specific) efficacy of neuromodulatory treatments.

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Trambaiolli LR, Kohl SH, Linden DEJ, Mehler DMA. Neurofeedback training in major depressive disorder: A systematic review of clinical efficacy, study quality and reporting practices. Neurosci Biobehav Rev 2021;125:33-56. [PMID: 33587957 DOI: 10.1016/j.neubiorev.2021.02.015] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 02/05/2021] [Accepted: 02/06/2021] [Indexed: 12/28/2022]

The Current Evidence Levels for Biofeedback and Neurofeedback Interventions in Treating Depression: A Narrative Review. Neural Plast 2021;2021:8878857. [PMID: 33613671 PMCID: PMC7878101 DOI: 10.1155/2021/8878857] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Revised: 12/28/2020] [Accepted: 01/25/2021] [Indexed: 12/22/2022] Open

Kober SE, Neuper C, Wood G. Differential Effects of Up- and Down-Regulation of SMR Coherence on EEG Activity and Memory Performance: A Neurofeedback Training Study. Front Hum Neurosci 2020;14:606684. [PMID: 33424569 PMCID: PMC7793696 DOI: 10.3389/fnhum.2020.606684] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 11/27/2020] [Indexed: 11/15/2022] Open

Skalski S. Impact of placebo-related instruction on HEG biofeedback outcomes in children with ADHD. APPLIED NEUROPSYCHOLOGY-CHILD 2020;11:383-390. [PMID: 33349043 DOI: 10.1080/21622965.2020.1861546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]

Schmidt J, Martin A. The Influence of Physiological and Psychological Learning Mechanisms in Neurofeedback vs. Mental Imagery Against Binge Eating. Appl Psychophysiol Biofeedback 2020;45:293-305. [PMID: 32990891 PMCID: PMC7644525 DOI: 10.1007/s10484-020-09486-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/07/2020] [Indexed: 11/29/2022]

Behavioral Medicine Methods in Treatment of Somatic Conditions. BIOMED RESEARCH INTERNATIONAL 2020;2020:5076516. [PMID: 33204700 PMCID: PMC7655248 DOI: 10.1155/2020/5076516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 08/30/2020] [Accepted: 10/27/2020] [Indexed: 11/26/2022]

Pamplona GS, Heldner J, Langner R, Koush Y, Michels L, Ionta S, Scharnowski F, Salmon CE. Network-based fMRI-neurofeedback training of sustained attention. Neuroimage 2020;221:117194. [DOI: 10.1016/j.neuroimage.2020.117194] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 07/07/2020] [Accepted: 07/20/2020] [Indexed: 11/29/2022] Open

Selected Abstracts From the 2019 International Neuroethics Society Annual Meeting. AJOB Neurosci 2020;11:W1-W15. [PMID: 33196352 DOI: 10.1080/21507740.2020.1830869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]

Dousset C, Kajosch H, Ingels A, Schröder E, Kornreich C, Campanella S. Preventing relapse in alcohol disorder with EEG-neurofeedback as a neuromodulation technique: A review and new insights regarding its application. Addict Behav 2020;106:106391. [PMID: 32197211 DOI: 10.1016/j.addbeh.2020.106391] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 01/22/2020] [Accepted: 03/09/2020] [Indexed: 02/07/2023]

Ros T, Enriquez-Geppert S, Zotev V, Young KD, Wood G, Whitfield-Gabrieli S, Wan F, Vuilleumier P, Vialatte F, Van De Ville D, Todder D, Surmeli T, Sulzer JS, Strehl U, Sterman MB, Steiner NJ, Sorger B, Soekadar SR, Sitaram R, Sherlin LH, Schönenberg M, Scharnowski F, Schabus M, Rubia K, Rosa A, Reiner M, Pineda JA, Paret C, Ossadtchi A, Nicholson AA, Nan W, Minguez J, Micoulaud-Franchi JA, Mehler DMA, Lührs M, Lubar J, Lotte F, Linden DEJ, Lewis-Peacock JA, Lebedev MA, Lanius RA, Kübler A, Kranczioch C, Koush Y, Konicar L, Kohl SH, Kober SE, Klados MA, Jeunet C, Janssen TWP, Huster RJ, Hoedlmoser K, Hirshberg LM, Heunis S, Hendler T, Hampson M, Guggisberg AG, Guggenberger R, Gruzelier JH, Göbel RW, Gninenko N, Gharabaghi A, Frewen P, Fovet T, Fernández T, Escolano C, Ehlis AC, Drechsler R, Christopher deCharms R, Debener S, De Ridder D, Davelaar EJ, Congedo M, Cavazza M, Breteler MHM, Brandeis D, Bodurka J, Birbaumer N, Bazanova OM, Barth B, Bamidis PD, Auer T, Arns M, Thibault RT. Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist). Brain 2020;143:1674-1685. [PMID: 32176800 PMCID: PMC7296848 DOI: 10.1093/brain/awaa009] [Citation(s) in RCA: 196] [Impact Index Per Article: 39.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 10/10/2019] [Accepted: 10/28/2020] [Indexed: 02/02/2023] Open

Affiliation(s)

Tomas Ros Departments of Neuroscience and Psychiatry, University of Geneva; Campus Biotech, Geneva, Switzerland
Stefanie Enriquez-Geppert Department of Clinical Neuropsychology, University of Groningen, Groningen, The Netherlands Department of Biomedical Sciences of Cells & Systems, University Medical Center Groningen, Groningen, The Netherlands
Vadim Zotev Laureate Institute for Brain Research, Tulsa, Oklahoma, USA
Kymberly D Young University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
Guilherme Wood Institute of Psychology, University of Graz, Graz, Austria
Susan Whitfield-Gabrieli Massachusetts Institute of Technology, Cambridge, MA, USA Northeastern University, Boston, MA, USA
Feng Wan Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau, China
Patrik Vuilleumier Campus Biotech, University of Geneva, Switzerland
François Vialatte Institut PiPsy, Draveil, France
Dimitri Van De Ville Institute of Bioengineering, Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne (EPFL); Campus Biotech, Geneva, Switzerland
Doron Todder Faculty of Health, Ben-Gurion University of the Negev, Beer-Sheva, Israel Beer-Sheva Mental Health Center, Israel Ministry of Health, Beer-Sheva, Israel
Tanju Surmeli Living Health Center for Research and Education, Istanbul, Turkey
James S Sulzer Department of Mechanical Engineering, University of Texas at Austin, Austin, TX, USA
Ute Strehl Institute for Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
Maurice Barry Sterman Neurobiology and Biobehavioral Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
Naomi J Steiner Boston University School of Medicine, Department of Pediatrics, Boston, MA, USA
Bettina Sorger Department of Cognitive Neuroscience, Maastricht University, Maastricht, The Netherlands
Surjo R Soekadar Clinical Neurotechnology Laboratory, Neuroscience Research Center (NWFZ), Department of Psychiatry and Psychotherapy (CCM), Charité - University Medicine Berlin, Berlin, Germany
Ranganatha Sitaram Institute of Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Macul, Santiago, Chile
Leslie H Sherlin Ottawa University, Surprise, Arizona, USA
Michael Schönenberg Department Clinical Psychology, University of Tübingen, Tübingen, Germany
Frank Scharnowski Department of Basic Psychological Research and Research Methods, Faculty of Psychology, University of Vienna, Vienna, Austria Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zürich, Zürich, Switzerland
Manuel Schabus University of Salzburg, Centre for Cognitive Neuroscience and Department of Psychology, Salzburg, Austria
Katya Rubia Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
Agostinho Rosa Laseeb-ISR-IST Universidade de Lisboa, Portugal
Miriam Reiner Technion, Israel Institute of Technology, Haifa, Israel
Jaime A Pineda Cognitive Science Department, University of California, San Diego, CA, USA
Christian Paret Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health Mannheim, Medical Faculty Mannheim/Heidelberg University, Germany
Alexei Ossadtchi National Research University Higher School of Economics, Moscow, Russia
Andrew A Nicholson Department of Basic Psychological Research and Research Methods, Faculty of Psychology, University of Vienna, Vienna, Austria Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zürich, Zürich, Switzerland
Wenya Nan Department of Psychology, Shanghai Normal University, Shanghai, China
Javier Minguez Bitbrain®, Zaragoza, Spain
Jean-Arthur Micoulaud-Franchi SANPSY, USR 3413, Université Bordeaux, CHU de Bordeaux, Place Amelie Raba Leon, Bordeaux, France
David M A Mehler Department of Psychiatry, University of Münster, Münster, Germany
Michael Lührs Department of Cognitive Neuroscience, Maastricht University, Maastricht, The Netherlands
Joel Lubar Department of Psychology, University of Tennessee, Knoxville, USA
Fabien Lotte Inria Bordeaux Sud-Ouest/LaBRI University of Bordeaux - CNRS-Bordeaux INP, Bordeaux, France
David E J Linden Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
Jarrod A Lewis-Peacock Department of Psychology, University of Texas at Austin, Austin, TX, USA
Mikhail A Lebedev Center for Bioelectric Interfaces of the Institute for Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia Department of Information and Internet Technologies of Digital Health Institute; I.M. Sechenov First Moscow State Medical University, Moscow, Russia Duke Center for Neuroengineering, Duke University, Durham, NC, USA
Ruth A Lanius Department of Psychiatry, Western University, London, Ontario, Canada
Andrea Kübler Department of Psychology I, Psychological Intervention, Behavior Analysis and Regulation of Behavior, University of Würzburg
Cornelia Kranczioch Neuropsychology Lab, Department of Psychology, University of Oldenburg, Oldenberg, Germany
Yury Koush Magnetic Resonance Research Center (MRRC), Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA
Lilian Konicar Medical University of Vienna, Department of Child and Adolescent Psychiatry, Vienna, Austria
Simon H Kohl JARA-Institute Molecular neuroscience and neuroimaging (INM-11), Jülich Research Centre, Jülich, Germany
Silivia E Kober Institute of Psychology, University of Graz, Graz, Austria
Manousos A Klados Department of Psychology, The University of Sheffield International Faculty, City College, Thessaloniki, Greece
Camille Jeunet CLLE Lab, CNRS, Université Toulouse Jean Jaurès, Toulouse, France
T W P Janssen Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
Rene J Huster Multimodal imaging and Cognitive Control Lab, Department of Psychology, University of Olso, Norway
Kerstin Hoedlmoser University of Salzburg, Centre for Cognitive Neuroscience and Department of Psychology, Salzburg, Austria
Laurence M Hirshberg Alpert Medical School, Brown University, Providence, RI, USA
Stephan Heunis Electrical Engineering Department, Eindhoven University of Technology, The Netherlands
Talma Hendler Sagol Brain Institute, Wohl Institute for Advanced Imaging, Sourasky Medical Center, Tel Aviv, Israel
Michelle Hampson Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA
Adrian G Guggisberg Division of Neurorehabilitation, Department of Clinical Neurosciences, University Hospital Geneva, Geneva, Switzerland
Robert Guggenberger Division of Functional and Restorative Neurosurgery, University of Tübingen, Tübingen, Germany
John H Gruzelier Department of Psychology, Goldsmiths, University of London, London, UK
Rainer W Göbel Department of Cognitive Neuroscience, Maastricht University, Maastricht, The Netherlands
Nicolas Gninenko Institute of Bioengineering, Center for Neuroprosthetics, École Polytechnique Fédérale de Lausanne (EPFL); Campus Biotech, Geneva, Switzerland
Alireza Gharabaghi Division of Functional and Restorative Neurosurgery, University of Tübingen, Tübingen, Germany
Paul Frewen Department of Psychiatry, Western University, London, Ontario, Canada
Thomas Fovet Univ. Lille, INSERM U1172, CHU LILLE, Centre Lille Neuroscience & Cognition, Pôle de Psychiatrie, F-59000, Lille, France
Thalía Fernández UNAM Institute of Neurobiology, National Autonomous University of Mexico, Juriquilla, Mexico
Carlos Escolano Bitbrain®, Zaragoza, Spain
Ann-Christine Ehlis Psychophysiology and Optical Imaging, Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
Renate Drechsler Department of Child and Adolescent, Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zürich, Zürich, Switzerland
R Christopher deCharms Omneuron, Inc., Menlo Park, CA, USA
Stefan Debener Neuropsychology Lab, Department of Psychology, University of Oldenburg, Oldenberg, Germany
Dirk De Ridder Department of Surgery, Section of Neurosurgery, University of Otago, Dunedin, New Zealand
Eddy J Davelaar Department of Psychological Sciences Birkbeck, University of London, Bloomsbury, London, UK
Marco Congedo GIPSA-lab, CNRS, University Grenoble Alpes, Grenoble-INP, Grenoble, France
Marc Cavazza School of Computing and Mathematical Sciences, University of Greenwich, London, UK
Marinus H M Breteler Radboud University Nijmegen, Department of Clinical Psychology, Nijmegen, The Netherlands
Daniel Brandeis Department of Child and Adolescent, Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zürich, Zürich, Switzerland Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Mannheim, Germany
Jerzy Bodurka Laureate Institute for Brain Research, Tulsa, OK, USA
Niels Birbaumer Institute for Medical Psychology and Behavioural Neurobiology, University of Tübingen, Tübingen, Germany
Olga M Bazanova State Research Institute of Physiology and Basic Medicine, Novosibirsk, Russia
Beatrix Barth Psychophysiology and Optical Imaging, Department of Psychiatry and Psychotherapy, University of Tübingen, Tübingen, Germany
Panagiotis D Bamidis School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
Tibor Auer School of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
Martijn Arns Brainclinics Foundation, Research Institute Brainclinics, Nijmegen, The Netherlands
Robert T Thibault School of Psychological Science, University of Bristol, Bristol, UK MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK

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Placebo Brain Stimulation Affects Subjective but Not Neurocognitive Measures of Error Processing. JOURNAL OF COGNITIVE ENHANCEMENT 2020. [DOI: 10.1007/s41465-020-00172-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]