Automatic approaches to gaming-related cues are key factors in internet gaming disorder (IGD). Approach bias modification (ApBM) has been shown to reduce addictive behaviors, but its neurobiological effects remain poorly understood. This study examined changes in brain activities in the 'natural' state in IGD patients after ApBM.

Fifty-five (of 61) IGD patients were randomly assigned to the approach-avoidance task (AAT, n = 30) and sham-AAT (n = 25) groups. Participants completed the pre-test, five real/sham ApBM sessions, and the post-test. In the pre-and post-tests, fMRI data were collected while viewing gaming and neutral videos. Inter-subject correlation (ISC) and functional connectivity (FC) analyses were conducted to explore the ApBM-related changes.

ANOVA of behavioral data revealed that ApBM significantly decreased the approach bias and addiction scores. The ISC analyses revealed increased synchronization in the paracentral lobule, precuneus, and insula regions in the ATT group after ApBM. Additionally, decreased FC was observed between the insula and superior frontal gyrus, precuneus, and orbitofrontal cortex in the AAT group.

Preliminary findings suggest that ApBM may be effective in reducing automatic approach tendencies toward gaming cues, highlighting its potential as an intervention strategy. However, it is important to note that the neurobiological evidence in this study only provides a possible association, and the results should be interpreted with caution. Future research is needed to further examine the clinical efficacy of ApBM in IGD, whether as a stand-alone treatment or as an adjunct to formal therapy.

Rett syndrome is a genetic neurodevelopmental disorder that predominantly affects girls. While microcephaly is a common feature, there is limited information on the detailed structural changes in the brain. This study aimed to identify regional brain volume abnormalities and explore the correlation between brain volume and clinical characteristics.

We compared the regional brain volumes of 20 female children with Rett syndrome to those of 25 healthy female children. Additionally, we assessed the correlation between regional brain volume, Clinical Severity Scores, and epilepsy status.

Significantly smaller volumes were observed in all brain regions, including the cerebral cortex, cerebral white matter, subcortical gray matter, cerebellum, and brainstem. Within the cortical regions, volume reduction was prominent in the left precentral, right lateral occipital, left precuneus, left inferior parietal, and right medial orbitofrontal cortices. After correcting for intracranial volumes, volume reduction was more prominent in the cerebral cortices than in the cerebral white matter. Small volumes were consistently observed, regardless of age. Negative correlations were observed between the volumes of multiple regions and the Clinical Severity Scores. There were no correlations among regional brain volume, seizure control, or duration of epilepsy.

The mechanism underlying the cortical-dominant volume reduction remains unclear; however, it may be caused by altered synapse development associated with methyl-CpG-binding protein 2 gene abnormalities. Characteristic impairments in visual recognition and deterioration of motor function in Rett syndrome may be associated with significant volume reduction in specific cortical regions, such as the lateral occipital cortex, precuneus, and precentral gyrus.

In this study, we utilized functional magnetic resonance imaging (fMRI) data obtained for naturalistic emotional stimuli to examine the consistency of neural responses among participants in specific regions related to valence. We reanalyzed fMRI data from 17 participants as they watched episodes of "Sherlock" and used emotional ratings from 125 participants. To determine regions where neural response patterns were synchronized across participants based on the pattern of valence changes, intersubject correlation analysis was conducted. As a validation analysis, multidimensional scaling was conducted to investigate emotional representation for significant regions of interest. The results revealed increased neural synchrony in the ventromedial prefrontal cortex, bilateral superior frontal cortex, left posterior cingulate cortex, thalamus, right anterior cingulate cortex, and bilateral inferior frontal cortices during the presentation of positive scenes. Also, the bilateral superior temporal gyrus and bilateral medial temporal gyrus exhibited increased neural synchrony as negative scenes were presented. Moreover, the left inferior frontal cortex and right superior frontal gyrus were found to be engaged in emotion representation and display increased neural synchrony. These findings provide insights into the differential neural responses to emotionally evocative naturalistic stimuli as compared to conventional experimental stimuli. Also, this study highlights the future potential for using intersubject correlation analysis for examining consistency of neural responses to naturalistic stimuli.

Accurate prediction of depressive symptoms in healthy individuals can enable early intervention and reduce both individual and societal costs. This study aimed to develop predictive models for depression in young adults using machine learning (ML) techniques and longitudinal data from the Beck Depression Inventory, structural MRI (sMRI), and resting-state functional MRI (rs-fMRI). Feature selection methods, including the least absolute shrinkage and selection operator (LASSO), Boruta, and VSURF, were applied to identify MRI features associated with depression. Support vector machine and random forest algorithms were then used to construct prediction models. Eight MRI features were identified as predictive of depression, including brain regions in the Orbital Gyrus, Superior Frontal Gyrus, Middle Frontal Gyrus, Parahippocampal Gyrus, Cingulate Gyrus, and Inferior Parietal Lobule. The overlaps and the differences between selected features and brain regions with significant between-group differences in t-tests suggest that ML provides a unique perspective on the neural changes associated with depression. Six pairs of prediction models demonstrated varying performance, with accuracies ranging from 0.68 to 0.85 and areas under the curve (AUC) ranging from 0.57 to 0.81. The best-performing model achieved an accuracy of 0.85 and an AUC of 0.80, highlighting the potential of combining sMRI and rs-fMRI features with ML for early depression detection while revealing the potential of overfitting in small-sample and high-dimensional settings. This study necessitates further research to (1) replicate findings in independent larger datasets to address potential overfitting and (2) utilize different advanced ML techniques and multimodal data fusion to improve model performance.

In this study, we present behavioral, computational, and neuroimaging evidence that social stress enhances intuitive prosocial value processing while impairing self-reward processing. When deciding on monetary rewards for individuals at various social distances, participants who exhibited elevated cortisol levels following a social stress task were more inclined to choose a disadvantageous unequal option. Neuroimaging data revealed that participants more likely to choose the disadvantageous unequal option exhibited increased encoding of other-regarding rewards in the ventral medial prefrontal cortex (mPFC), whereas the dorsal mPFC exhibited a decrease in encoding. Mediation analyses further indicated that both the ventral and dorsal mPFC indirectly mediated the relationship between heightened cortisol levels and a greater likelihood of choosing a disadvantageous unequal option. Additionally, effective connectivity analysis results demonstrated that cortisol has an excitatory effect on the dorsal mPFC via the ventral striatum, while simultaneously sending inhibitory signals to the dorsal mPFC via the dorsal striatum. These findings provide empirical evidence to clarify the ambiguity surrounding the effects of stress on prosocial decision-making, suggesting that social stress disrupts deliberative decision-making while simultaneously promoting intuitive prosocial motivation through the differential modulation of hierarchically organized cortico-striatal loops.

Functional constipation (FCon) is a prevalent common functional gastrointestinal disorders (FGIDs) frequently linked to mental and psychological disorders. Although previous studies have demonstrated alterations in brain structure and function in FCon, there remains a lack of investigation into the network-level structural inter-relationships (e.g., structural covariance) within key regions such as the orbitofrontal cortex (OFC). This study aimed to investigate whether gray matter volume (GMV) covariance in OFC subregions is selectively disrupted in FCon patients. A cohort of 87 patients with FCon and 87 healthy controls (HC) underwent high-resolution structural MRI scans. The GMV covariance was analyzed using voxel-based morphometry, and the covariance patterns between OFC subregions and other brain regions were examined using a general linear model. FCon patients demonstrated selective alterations in GMV covariance, notably within the lateral and medial OFC subregions, which showed altered covariance with brain regions associated with sensory, motor, and cognitive control functions, including the olfactory cortex, supplementary motor area, insula, and superior frontal gyrus. Our findings indicate that FCon patients show specific GMV covariance alterations in the OFC subregions, suggesting that these structural changes may be associated with disrupted brain-gut interactions and gastrointestinal dysfunction in patients with functional constipation, though the complex and bidirectional nature of gut-brain communication warrants further investigation.

Over the past two decades, the fields of social and contemplative neurosciences have made significant strides. Initial research utilizing fMRI identified neuronal networks involved in empathy, mentalizing, and compassion, as well as complex interactions among these networks. Subsequent studies shifted to testing the plasticity of these social skills via different types of mindfulness- or compassion-based mental training programs, demonstrating brain plasticity, enhanced social capacities and motivation, as well as improved mental health and overall well-being. Next, researchers developed scalable evidence-based online mental training programs to address the growing levels of mental health problems and loneliness, both exacerbated by the COVID-19 pandemic. Innovative approaches, such as novel relational partner-based practices and online app-based dyadic training programs, offer scalable solutions to counteract ongoing societal and mental health deterioration. Current studies are now applying the above findings to support resilience building within diverse domains of society and professional populations-such as healthcare workers and teachers-at high risk of burn-out. Future research should explore the broader impact of such training-related individual changes on larger systems, potentially leading to the development of a translational social neuroscience approach that leverages insights from social brain plasticity research to support societal needs, thereby enhancing resilience, mental health, and social cohesion.

Attachment style shapes one's connections with important figures in their life. One such unique relationship is the connection to God (CTG), which may be shaped by attachment style. Stronger CTG has been associated with secure attachment, yet the neural mechanisms underlying this relationship remain unclear. While previous research has implicated the prefrontal cortex (PFC) in CTG, findings have been mixed and may depend on attachment style-an idea that has yet to be directly tested. This study aimed to (1) examine whether individuals with a secure attachment style report higher levels of CTG compared to those with a non-secure attachment style, and (2) identify the brain regions associated with CTG in individuals with secure vs. non-secure attachment. We assessed attachment style and CTG in a sample of male combat veterans (N = 150), the majority of whom had focal traumatic brain injuries (pTBI; N = 119). Brain imaging (CT scans) was also obtained. Behaviorally, after controlling for age, years of education, and brain volume loss, individuals with a secure attachment style reported stronger CTG. Voxel-based lesion-symptom mapping revealed that damage to the right orbitofrontal cortex was associated with stronger CTG in individuals with secure-but not insecure-attachment. These findings suggest that attachment style shapes CTG at both behavioral and neural levels. Moreover, they highlight the potential role of attachment style in TBI recovery, offering insights that could inform spiritually integrated therapeutic interventions and support strategies.

Daily actions are influenced by sensory information. Several studies have investigated the multisensory integration of multiple sensory modalities, known as crossmodal perception. Recently, visual-olfactory crossmodal perception has been studied using objective physiological measures rather than subjective evaluations. This study focused on sensing in the orbitofrontal cortex (OFC), which responds to visual and olfactory stimuli, and may serve as a physiological indicator of perception. Using near-infrared spectroscopy (NIRS), we analyzed the emotions evoked by combinations of colored light and fragrance with a particular focus on the lateralization of brain function. We selected pleasant and unpleasant fragrances from some essential oils, paired with colored lights that were perceived as either harmonious or disharmonious with the fragrances. NIRS measurements were conducted under the four following conditions: fragrance-only, colored light-only, harmonious crossmodal, and disharmonious crossmodal presentations. The results showed that the left OFC was activated during the crossmodal presentation of a harmonious color with a pleasant fragrance, thereby evoking pleasant emotions. In contrast, during the crossmodal presentation of a disharmonious color with an unpleasant fragrance, the right OFC was activated, suggesting increased displeasure. Additionally, the lateralization of brain function between the left and right OFC may be influenced by 'pleasure-displeasure ' and 'crossmodal perception-multimodal perception'.

Elderly adults may have poorer recall ability than young adults and may not fully enjoy the effects of motor imagery. To understand the age bias of the effect of motor imagery on hand dexterity, we evaluated brain activation and spinal motor nerve excitability. Brain activation was evaluated from changes in oxygenated hemoglobin concentration, while spinal motor nerve excitability was evaluated from F-waves in eight young (mean age 21.0 ± 0.5 years) and eight elderly (mean age 69.5 ± 2.3 years) subjects of matched sex ratio at rest and during motor imagery. Purdue Pegboard scores were also measured before and after motor imagery, and changes in hand dexterity were assessed. The results showed that motor imagery improved hand dexterity without an age bias, and in a similar trend, spinal motor nerve excitability increased during motor imagery. Functional brain connectivity analysis showed the formation of a working memory network in both groups. However, in the analysis of single brain region activation, the young group, but not the elderly group, showed increased activity in the supplementary motor cortex during motor imagery. In addition, regardless of age-related changes, causal coupling indicated the supplementary motor cortex was associated with the changes of spinal motor nerve excitability. Although the changes in brain activation during motor imagery were influenced by age, motor imagery-induced improvements in hand dexterity are also expected in the elderly. Furthermore, changes in spinal motor nerve excitability may be useful in determining the qualitative aspects of motor imagery.

Modifiable lifestyle factors are implicated as risk factors for neurological and psychiatric disorders, but whether these associations are causal remains uncertain. We aimed to evaluate associations and ascertain causal relationships between modifiable lifestyle factors, neurological and psychiatric disorder risk, and brain structural magnetic resonance imaging (MRI) markers.

We analyzed data from over 50,000 UK Biobank participants with self-reported lifestyle factors, including alcohol consumption, smoking, physical activity, diet, sleep, electronic device use, and sexual factors. Primary outcomes were stroke, all-cause dementia, Parkinson's disease (PD), Major depression disorder (MDD), Anxiety Disorders (ANX), and Bipolar Disorder (BIP), alongside MRI markers. Summary statistics were obtained from genome-wide association studies and Mendelian randomization (MR) analyses investigated bidirectional associations between lifestyle factors, neurological/psychiatric disorders, and MRI markers, with mediation assessed using multivariable Mendelian randomization (MVMR).

Cross-sectional analyses identified lifestyle factors were associated with neurological and psychiatric disorders and brain morphology. MR confirmed causal relationships, including lifetime smoking index on Stroke, PD, MDD, ANX and BIP; play computer games on BIP; leisure screen time on Stroke and MDD; automobile speeding propensity on MDD; sexual factors on MDD and BIP; sleep characteristics on BIP and MDD. Brain structure mediated several lifestyle-disorder associations, such as daytime dozing and dementia, lifetime smoking and PD and age first had sexual intercourse and PD.

Our results provide support for a causal effect of multiple lifestyle measures on the risk of neurological and psychiatric disorders, with brain structural morphology serving as a potential biological mediator in their associations.

Tinnitus arises from the intricate interplay of multiple, parallel but overlapping networks, involving neuroplastic changes in both auditory and non-auditory activity. Tailor-made notched music training (TMNMT) has emerged as a promising therapeutic approach for tinnitus. Residual inhibition (RI) represents one of the rare interventions capable of temporarily alleviating tinnitus, offering a valuable tool that can be applied to tinnitus research to explore underlying tinnitus mechanisms. To our knowledge, this study is the first to investigate the neural mechanisms underlying the RI effect of TMNMT through analysis of neural source activity and functional connectivity of EEG. Forty-four participants with tinnitus were divided into TMNMT group (twenty-two participants; ECnm, NMnm, RInm represented that EEG recordings with eyes closed stimuli-pre, stimuli-ing, stimuli-post by TMNMT music, respectively) and Placebo control group (twenty-two participants; ECpb, PBpb, RIpb represented that EEG recordings with eyes closed stimuli-pre, stimuli-ing, stimuli-post by Placebo music, respectively) in a single-blind manner. Source localization analysis revealed that RI effect of TMNMT significantly increased in current density at the delta band in the insula, subgenual anterior cingulate cortex (sgACC), parahippocampus (PHC), and secondary auditory cortex (AⅡ), and significantly increased in current density at the theta band in the sgACC, and significantly decreased in current density at the alpha band in the precuneus, PHC, primary (AI) and secondary (AII) auditory cortex. Meanwhile, RI effect of Placebo significantly decreased in current density at the alpha band in the PHC. Functional connectivity analysis demonstrated that RI effect of TMNMT significantly increased in phase coherence between the left AⅡ and the right sgACC; and between the left PHC and the left retrosplenial cortex (RSC) at the theta band. It significantly decreased in phase coherence between the left PHC and the right precuneus, the right posterior cingulate cortex (PCC), the right AⅡ; between the right PHC and the right PCC; and between the right PCC and the right AⅡ at the alpha band. RI effect of Placebo significantly increased in phase coherence between the left insula and the right precuneus, the left PHC, the right PHC, the left AⅠ, the left AⅡ; between the left sgACC and the right PHC; between the left AⅡ and the right PHC, the left PCC at the delta band. It was found that the current density of sgACC was significantly positively correlated with the tinnitus evaluation indicators (Loudness, VAS, THI, TFI) at the alpha band in TMNMT group. These findings indicated that TMNMT, a novel music therapy for tinnitus, revealed a robust RI effect, and RI effect of TMNMT was not only involved in the activity of auditory networks (AⅠ, AⅡ), but also extended to non-auditory networks, particularly higher-level auditory association cortices, such as the sgACC, PHC and PCC. The current study provides valuable experimental evidence and promising practical prospects for the potential applications of TMNMT in tinnitus treatment.

Many new technologies, such as smartphones, computers, or public-access systems (like ticket-vending machines), are a challenge for older adults. One feature that these technologies have in common is that they involve underlying, partially observable, structures (state spaces) that determine the actions that are necessary to reach a certain goal (e.g., to move from one menu to another, to change a function, or to activate a new service). In this work we provide a theoretical, neurocomputational account to explain these behavioral difficulties in older adults. Based on recent findings from age-comparative computational- and cognitive-neuroscience studies, we propose that age-related impairments in complex goal-directed behavior result from an underlying deficit in the representation of state spaces of cognitive tasks. Furthermore, we suggest that these age-related deficits in adaptive decision-making are due to impoverished neural representations in the orbitofrontal cortex and hippocampus.

Olfaction, often regarded as a unique chemical sensation, plays a pivotal role in shaping our quality of life and mental well-being. Numerous studies have highlighted the significant relationship between olfactory function and depressive symptoms. However, the complex mechanisms underlying how olfactory function affects the development of depressive symptoms remain largely unclear. In this study, we investigated the role of hedonic capacity in the link between olfactory function and depressive symptoms. We recruited 1661 young adults, along with an additional 381 participants who had experienced COVID-19-related olfactory dysfunction, to complete a series of self-report questionnaires assessing depressive symptoms, olfactory dysfunction, and hedonic capacity. A subset of 327 participants completed a follow-up survey 3 months later. Our sequential mediation analyses revealed that olfactory function indirectly influenced depressive symptoms through chemosensory pleasure. Moreover, it impacted pleasure derived from social activities by modulating chemosensory pleasure. Notably, this mediating effect persisted over the 3-month period and was evident even in participants with hyposmia, highlighting the lasting importance of chemosensory hedonic capacity. These findings suggest that both chemosensory and social hedonic capacities are crucial in the complex relationship between olfactory function and depressive symptoms. This insight not only deepens our understanding of the developmental psychopathology of depression but also offers a new perspective for its prevention.

Psychogenic erectile dysfunction (pED) is often accompanied by abnormal brain activities. This study aimed to develop an automaticclassifier to distinguish pED from healthy controls (HCs) by identified brain-basedcharacteristics. Resting-state functional magnetic resonance imaging data were acquired from 45 pED patients and 43 HCs. Regional homogeneity (ReHo) and functional connectivity (FC) values were calculated and compared between groups. Moreover, based on altered ReHo and FC values, support vector machine (SVM) classifier, incorporating recursive feature elimination (RFE), an SVM-RFE diagnostic model was established using leave-one-out cross-validation. Patients demonstrated reduced ReHo values in the left middle temporal gyrus (had decreased FC values with the left medial superior frontal gyrus and cuneus), orbital part of inferior frontal gyrus (had decreased FC values within the same region), triangular part of inferior frontal gyrus, anterior cingulate gyrus (had decreased FC values with the left inferior temporal gyrus, anterior cingulate gyrus, cuneus and right supplementary motor area) and middle frontal gyrus. The right calcarine fissure displayed increased ReHo values. The diagnostic model demonstrated excellent performance, achieving an accuracy rate of 90.80%. This study identified altered regional activity and FC in specific brain regions of pED patients, which might be related to the development of pED. The application of machine learning confirmed the distinctive characteristics of these functional changes in the brain. The high accuracy of our diagnostic model suggested a promising direction for developing objective diagnostic tools for psychological disorders.

Short video addiction (SVA) has emerged as a growing behavioral and social issue, driven by the widespread use of digital platforms that provide highly engaging, personalized, and brief video content. We investigated the neuroanatomical and functional substrates of SVA symptoms, alongside brain transcriptomic and cellular characteristics, using Inter-Subject Representational Similarity Analysis (IS-RSA) and transcriptomic approaches. Behaviorally, we found that dispositional envy was associated with SVA. Structurally, SVA was positively correlated with increased morphological volumes in the orbitofrontal cortex (OFC) and bilateral cerebellum. Functionally, the dorsolateral prefrontal cortex (DLPFC), posterior cingulate cortex (PCC), cerebellum, and temporal pole (TP) exhibited heightened spontaneous activity, which was positively correlated with SVA severity. Transcriptomic and cellular analyses also showed specific genes linked to gray matter volume (GMV) associated with SVA, with predominant expression in excitatory and inhibitory neurons. These genes showed distinct spatiotemporal expression patterns in the cerebellum during adolescence. This study offers a comprehensive framework integrating structural, functional, and neurochemical evidence to highlight the neural-transcriptomic underpinnings of SVA symptoms in a non-clinical population.

Early-life adversity during pre- and early post-natal phases can impact brain development and lead to maladaptive changes in executive function related behaviors. This increases the risk for a range of psychopathologies and physical diseases. Importantly, exposure to adversities during these periods is also linked to alterations in the orbito-frontal cortex (OFC) which is a key player in these executive functions. The OFC thus appears to be a central node in this association between early life stress and disease risk. Gaining a clear, and detailed understanding of the association between early life stress, OFC function, and executive function, as well as the underlying mechanisms mediating this association is relevant to inform potential therapeutic interventions. In this paper, we begin by reviewing evidence linking early life adversities to 1) alterations in behaviors regulated by the OFC and 2) changes in OFC anatomy and function. We then present insights into the underlying mechanisms for these changes, stemming from early life adversity models, and highlight important future directions for this line of research.

We examined the long-term causal effects of an evidence-based parenting program delivered in infancy on children's emotion regulation and resting-state functional connectivity (rs-fc) during middle childhood. Families were referred to the study by Child Protective Services (CPS) as part of a diversion from a foster care program. A low-risk group of families was also recruited. CPS-involved families were randomly assigned to receive the target (Attachment and Biobehavioral Catch-up, ABC) or a control intervention (Developmental Education for Families, DEF) before infants turned 2. Both interventions were home-based, manualized, and 10-sessions long. During middle childhood, children underwent a 6-min resting-state functional MRI scan. Amygdala seed-based rs-fc analysis was completed with intervention group as the group-level predictor of interest. Fifty-seven children (NABC = 21; NDEF = 17; NCOMP = 19; Mage = 10.02 years, range = 8.08-12.14) were scanned successfully. The DEF group evidenced negative left amygdala↔OFC connectivity, whereas connectivity was near zero in the ABC and comparison groups (ABCvsDEF: Cohen's d = 1.17). ABC may enhance high-risk children's regulatory neurobiology outcomes ∼8 years after the intervention was completed.

Agitation is one of the core symptoms of schizophrenia. The occurrence of agitation may be related to orbitofrontal cortex dysfunction. However, due to methodological heterogeneity, the relationship between agitation and orbitofrontal cortex subregions remains unclear. Based on the multi-dimensional structure of the orbitofrontal cortex subregion, this study aims to explore the relationship between orbitofrontal cortex structure and agitation in first-episode drug-naïve patients with schizophrenia. The study subjects included 50 first-episode drug-naïve patients with schizophrenia and 29 healthy controls. All participants underwent structure magnetic resonance imaging scanning. The patients' clinical symptoms were assessed using the Positive and Negative Syndrome Scale, and the agitation were evaluated using the Brief Agitation Rating Scale. SPSS 26.0 was used to compare the differences in the orbitofrontal cortex subregion between the two groups in different structure dimensions and then conduct a Pearson's partial correlations analysis to observe the relationship between orbitofrontal cortex subregion structure and agitation. There were no significant differences in demographic factors between the two groups. Our results show the folding index of the orbitofrontal cortex subregion in patients with schizophrenia were significantly smaller compared to the healthy controls. The surface area in the orbitofrontal cortex subregion is significantly negatively correlated with agitation in first-episode drug-naïve schizophrenia patients. These results suggest that structure alterations in the orbitofrontal cortex subregion may be involved in schizophrenia agitation.

Background and Objectives: The use of anabolic-androgenic steroids (AASs) by competitive and recreational athletes has been studied and well documented. There are numerous studies showing its effects on personality traits and risky behaviors like aggression. The relationship between AAS use, aggression, and narcissism is complex and intricate. We examined this relationship in male bodybuilders who use AASs. Materials and Methods: A total of 319 healthy subjects aged 18-44 years (33.4 ± 9.4) who have been regularly training at bodybuilding for at least 3 years participated voluntarily in the study and completed a demographic data inventory, the Five-Factor Narcissism Inventory Short Form (FFNI-SF), and the Buss-Perry Aggression Scale anonymously. Demographic data were given as percentages, comparisons of aggression and narcissism scores according to AAS use were performed by using an independent sample t test, and effects of narcissism and aggression levels on AAS use was assessed by using logistic regression analysis. All analyses were performed by using SPSS Statistics 22.0. Results: Results showed that AAS users had significantly higher scores on the overall FFNI-SF Scale (p < 0.001) and all sub-dimensions of narcissism (p < 0.001) and on the overall Buss-Perry Aggression Scale (p < 0.001) and all sub-dimensions of aggression (p < 0.001). It was also shown that there were significant and positive correlations between the FFNI-SF overall score (p < 0.001) and both the vulnerable narcissism and grandiose narcissism sub-dimensions (p < 0.001) and the scores of the Buss-Perry Aggression Scale (p < 0.001), physical aggression (p < 0.001), anger (p < 0.001), hostility (p < 0.001), and verbal aggression (p < 0.001) sub-dimensions. Conclusions: These results show a strong relation between AAS use, narcissism, and aggression in bodybuilders. However, it is not clear whether AAS use leads to aggression and narcissism or whether narcissistic and/or aggressive people tend to use AASs. Furthermore, including a lot of potential third variables shows that it does not have to be either one or the other way around. There is a need to conduct future studies to determine this causality.

Current research suggests that menstruating female athletes might be at greater risk of musculoskeletal injury in relation to hormonal changes throughout the menstrual cycle. A separate body of work suggests that spatial cognition might also fluctuate in a similar manner. Changes in spatial cognition could, in theory, be a contributing risk factor for injury, especially in fast-paced sports that require precise, millisecond accuracy in interactions with moving objects in the environment. However, existing theories surrounding causes for increased injury risk in menstruating females largely focus on biomechanical mechanisms, with little consideration of possible cognitive determinants of injury risk. Therefore, the aim of this proof-of-principle study was to explore whether menstruating females exhibit fluctuations in cognitive processes throughout their cycle on a novel sport-oriented cognitive test battery, designed to measure some of the mental processes putatively involved in these sporting situations. A total of 394 participants completed an online cognitive battery, a mood scale and a symptom questionnaire twice, 14 days apart. After exclusions, 248 eligible participants were included in the analyses (mean: 28 ± 6 years) (male = 96, female(menstruating) = 105, female(contraception) = 47). Cycle phase for menstruating females was based on self-reported information. The cognitive battery was designed to measure reaction times, attention, visuospatial functions (including 3D mental rotation) and timing anticipation. Three composite scores were generated using factor analysis with varimax rotation (Errors, Reaction Time, Intra-Individual Variability). Mixed model ANOVAs and repeated measures ANOVAs were performed to test for between and within-subject effects. There was no group difference in reaction times and accuracy between males and females (using contraception and not). However, within subject analyses revealed that regularly menstruating females performed better during menstruation compared to being in any other phase, with faster reaction times (10ms c.ca, p < 0.01), fewer errors (p < 0.05) and lower dispersion intra-individual variability (p < 0.05). In contrast they exhibited slower reaction times (10ms c.ca, p < 0.01) and poorer timing anticipation (p < 0.01) in the luteal phase, and more errors in the predicted ovulatory phase (p < 0.01). Self-reported mood, cognitive and physical symptoms were all worst during menstruation (p < 0.01), and a significant proportion of females felt that their symptoms were negatively affecting their cognitive performance during menstruation on testing day, which was incongruent with their actual performance. These findings suggest that visuospatial and anticipatory processes may fluctuate throughout the menstrual cycle in the general population, with better performance during the menstrual phase and poorer performance during the luteal phase. If these extend to associations between phase-specific cognitive performance and injury incidence, they would support a cognitive theory of determinants of injury risk in cycling female athletes, opening an opportunity to develop mitigation strategies where appropriate.

Cerebral small vessel disease (CSVD) is a chronic systemic degenerative disease affecting small blood vessels in the brain, leading to cognitive impairments. Transcranial direct current stimulation (tDCS), a non-invasive brain stimulation technique that applies low electrical currents to the scalp, shows promise in treating cognitive and movement disorders. However, further clinical evaluation is required to assess the long-term effects of tDCS on neuroplasticity and gait in patients with CSVD. We investigated the effects of long-term, repeated tDCS on local brain perfusion, network connectivity, cognition, and gait in patients with CSVD and gait disorders (CSVD-GD).

This prospective, single-blind, multicenter, randomized controlled study enrolled 66 patients with CSVD-GD, categorized into the tDCS and Sham groups. Imaging and gait characteristic data were collected over three periods using magnetic resonance imaging and a gait analyzer, along with neuropsychological assessments.

Among 156 volunteers with CSVD-GD, 66 participated in this study, with 60 completing the entire process. Compared to the Sham group, the tDCS group exhibited a more pronounced increase in the cerebral blood flow to the dural cerebrospinal fluid ratio in regions such as the orbitofrontal cortex and cingulate gyrus (P < 0.05, FDR corrected), along with significantly greater improvements in gait speed and stride length. Tolerance to tDCS was good, with no difference in adverse reactions between the groups, except for a scalp burning sensation reported during the 1st week (24.24% and 6.06% in the tDCS and Sham groups, respectively; P = 0.003).

Long-term tDCS is effective and safe for improving neuroplasticity and gait cognition in patients with CSVD.

The impacting research on emotions of the last decades was carried out with different methods. The most popular was based on the use of a validated sample of slides, the International Affective Pictures System (IAPS), divided mainly into pleasant, neutral and unpleasant categories, and on fMRI as a measure of brain activation induced by these stimuli. With the present coordinate-based meta-analysis (CBMA) based on ALE approach, we aimed to unmask the main brain networks involved in the contrast of pleasant vs. neutral and unpleasant vs. neutral IAPS slide categories. Furthermore, we included studies employing both IAPS and non-IAPS (but analogously validated) pictures, a condition termed as IAPS EXTENDED. After selecting 97 papers published in the 2000-2023 interval, the planned contrasts were analyzed by also considering their interaction with the Load factor of the concomitant task, which comprised the conditions: No Load (passive viewing), Low-Load tasks and High-Load tasks. We analyzed a total of 152 experiments (106 focusing on the negative vs. neutral contrast; 46 reporting positive vs. neutral contrasts). We additionally performed conjunction and contrast analyses. Results confirmed outcomes of past meta-analyses on the involvement of a number of cortical and subcortical paralimbic and limbic regions during unpleasant picture processing, but the increase of the pubblications on this topic in last years, together with a more fine-grained analysis, allowed us to find also the involvement of additional areas, such as the right middle frontal gyrus, left inferior frontal gyrus (BA 9), posterior cingulate, and left inferior parietal lobule. Concerning passive viewing and low-load tasks, a clear frontal asymmetry emerged with greater right prefrontal activation (BA9) to unpleasant vs. pleasant pictures, whereas, during No Load tasks only, left frontal dominance to pleasant vs. unpleasant stimuli was found (BA13). The unpleasant vs. neutral comparison on High-Load tasks (the pleasant condition had an insufficient sample size) revealed a specific lateralization of several areas of the right hemisphere (STG-BA 38, MFG-BA 46, FG-BA 37), whereas, in the other load conditions, the inferior frontal gyrus was right lateralized, but the main activated regions were bilateral or left lateralized. Results are discussed considering the effects of both valence and task/load variables, and the involvement of hippocampus/amygdala, hemispheric asymmetries of emotions, the occipito-temporal areas, several sub-regions of the prefrontal/orbitofrontal cortex, and an extended motor network.

The neuroimaging mechanisms that arise in patients with schizophrenia and comorbid metabolic syndrome (MetS) remain poorly understood. This study was devised to examine potential alterations in regional homogeneity (ReHo) that arise in schizophrenia patients with comorbid MetS undergoing risperidone or clozapine treatment. In total, 43 schizophrenia patients undergoing risperidone or clozapine treatment were enrolled in this study, of whom 20 had comorbid MetS (SZ-MetS) while 23 did not (SZ-nMetS). In addition, 28 sex- and age-matched healthy controls (HCs) were analyzed. Analyses of covariance (ANCOVA) were used to compare ReHo in this study, utilizing age, sex, and years of education as covariates, with subsequent post hoc testing. Correlations between brain regions showing differences between groups of patients with schizophrenia and MetS-related indicators were also assessed. Relative to HCs, patients in both the SZ-MetS and SZ-nMetS groups exhibited reductions in ReHo in the right postcentral gyrus, left superior parietal gyrus, and left middle occipital gyrus. A decrease in ReHo was also evident in the left calcarine fissure and surrounding cortex and the right angular gyrus of patients in the SZ-MetS group, while the SZ-nMetS group exhibited reductions in ReHo in the left superior occipital gyrus and the right precuneus, together with an increase in ReHo in the right inferior orbitofrontal gyrus. Compared to the SZ-nMetS group, the SZ-MetS group exhibited a reduction in ReHo in the right inferior orbitofrontal gyrus. The ReHo of the right inferior orbitofrontal gyrus was significantly negatively correlated with BMI, waist circumference, and hip circumference in the SZ-MetS and SZ-nMetS groups. A reduction in ReHo in the right inferior orbitofrontal gyrus may thus be related to MetS in schizophrenia patients undergoing treatment. The findings may provide an imaging basis for brain alterations in patients with schizophrenia combined with MetS and provide a new insight into the neuroimaging mechanisms associated with MetS in patients with schizophrenia.

Functions associated with processing reward-related information are fundamental drivers of motivation, learning, and goal-directed behavior. Such functions have been classified as the positive valence system under the Research Domain and Criteria (RDoC) criteria and are negatively impacted across a range of psychiatric disorders and mental illnesses. The positive valence system is composed of three comprehensive categories containing related but dissociable functions that are organized into either Reward Responsiveness, Reward Learning, or Reward Valuation. The presence of overlapping behavioral dysfunction across diagnostic mental disorders is in-part what motivated the RDoC initiative, which emphasized that the study of mental illness focus on investigating relevant behavior and cognitive functions and their underlying mechanisms, rather than separating efforts on diagnostic categories (i.e., transdiagnostic). Moreover, the RDoC approach is well-suited for preclinical neuroscience research, as the rise in genetic toolboxes and associated neurotechnologies enables researchers to probe specific cellular targets with high specificity. Thus, there is an opportunity to dissect whether behaviors and cognitive functions are supported by shared or distinct neural mechanisms. For preclinical research to effectively inform our understandings of human behavior however, the cognitive and behavioral paradigms should have predictive, neurobiological, and pharmacological predictive validity to the human test. Touchscreen-based testing systems provide a further advantage for this endeavor enabling tasks to be presented to animals using the same media and task design as in humans. Here, we outline the primary categories of the positive valence system and review the work that has been done cross-species to investigate the neurobiology and neurochemistry underlying reward-related functioning. Additionally, we provide clinical tasks outlined by RDoC, along with validity and/or need for further validation for analogous rodent paradigms with a focus on implementing the touchscreen-based cognitive testing systems.

The advent of multiple neuroimaging methodologies has greatly aided in the conceptualization of large-scale functional brain networks in the field of cognitive neuroscience. However, there is inconsistency across studies in both nomenclature and the functional entities being described. There is a need for a unifying framework that standardizes terminology across studies while also bringing analyses and results into the same reference space. Here we present a whole-brain atlas of canonical functional brain networks derived from more than 100,000 resting-state fMRI datasets. These data-driven functional networks are highly replicable across datasets and capture information from multiple spatial scales. We have organized, labeled, and described the networks with terms familiar to the fields of cognitive and affective neuroscience in order to optimize their utility in future neuroimaging analyses and enhance the accessibility of new findings. The benefits of this atlas are not limited to future template-based or reference-guided analyses, but also extend to other data-driven neuroimaging approaches across modalities, such as those using blind independent component analysis (ICA). Future studies utilizing this atlas will contribute to greater harmonization and standardization in functional neuroimaging research.

Anhedonia is an enduring symptom of subthreshold depression (StD) and predict later onset of major depressive disorder (MDD). Brain structural covariance describes the inter-regional distribution of morphological changes compared to healthy controls (HC) and reflects brain maturation and disease progression. We investigated neural correlates of anhedonia from the structural covariance.

T1-weighted brain magnetic resonance images were acquired from 79 young adults (26 StD, 30 MDD, and 23 HC). Intra-individual structural covariance networks of 68 cortical surface area (CSAs), 68 cortical thicknesses (CTs), and 14 subcortical volumes were constructed. Group-level hubs and principal edges were defined using the global and regional graph metrics, compared between groups, and examined for the association with anhedonia severity.

Global network metrics were comparable among the StD, MDD, and HC. StD exhibited lower centralities of left pallidal volume than HC. StD showed higher centralities than HC in the CSAs of right rostral anterior cingulate cortex (ACC) and pars triangularis, and in the CT of left pars orbitalis. Less anhedonia was associated with higher centralities of left pallidum and right amygdala, higher edge betweenness centralities in the structural covariance (EBSC) of left postcentral gyrus-parahippocampal gyrus and LIPL-right amygdala. More anhedonia was associated with higher centralities of left inferior parietal lobule (LIPL), left postcentral gyrus, left caudal ACC, and higher EBSC of LIPL-left postcentral gyrus, LIPL-right lateral occipital gyrus, and left caudal ACC-parahippocampal gyrus.

This study has a cross-sectional design.

Structural covariance of brain morphologies within the salience and limbic networks, and among the salience-limbic-default mode-somatomotor-visual networks, are possible neural correlates of anhedonia in depression.

Hoarding disorder (HD) is maintained by maladaptive beliefs about possessions, and recent research has demonstrated that changes in these beliefs partially mediate improvement in cognitive-behavioral therapy (CBT) for hoarding. It is not yet known whether changes in neural activity, particularly when discarding possessions, are associated with cognitive change during CBT for HD. Adults who completed group CBT for HD (N = 58) participated in a simulated discarding task before and after CBT. Neural activity was measured using functional magnetic resonance imaging (fMRI) as participants made simulated discarding decisions. At baseline, activity in the left middle insula and left anterior cingulate cortex was significantly associated with hoarding-related beliefs. After receiving CBT for HD, decreases in maladaptive hoarding-related beliefs were significantly associated with increased activity compared to baseline in the right anterior ventral insula, along the left middle frontal gyrus and bilateral inferior temporal lobe, and in visuospatial areas. These results demonstrate that maladaptive beliefs in HD are associated with activation of specific neural regions during discarding decisions and that reduction in beliefs over a course of CBT for HD is associated with specific changes in neural activity.

The effects of panic disorder (PD) and pharmacotherapy on brain functional hubs in drug-free patients, and the utility of their degree centrality (DC) in diagnosing and predicting treatment response (TR) for PD, remained unclear.

This study aimed to assess the effects of PD and paroxetine on brain functional hubs in drug-free patients and to identify neuroimaging biomarkers for diagnosing and predicting TR in patients with PD.

Imaging data from 54 medication-free PD patients and 54 matched healthy controls (HCs) underwent DC and functional connectivity (FC) analyses before and after a 4-week paroxetine treatment. Diagnosis and prediction of TR models for PD were constructed using support vector machine (SVM) and support vector regression (SVR), with DC as features.

Patients with PD showed aberrant DC and FC in the anterior cingulum, temporal, and occipital areas compared with HCs at baseline. After treatment, DC of the patients increased in the calcarine cortex, lingual gyrus, and cerebellum IV/V, along with improved clinical symptoms. Utilizing voxel-wise DC values at baseline, the SVM effectively distinguished patients with PD from HCs with an accuracy of 83.33%. In SVR, the predicted TR significantly correlated with the observed TR (correlation coefficient (r) = 0.893, Mean Squared Error = 0.009).

Patients with PD exhibited abnormal DC and FC, notably in the limbic network, temporal, and occipital regions. Paroxetine ameliorated patients' symptoms while altering their brain FC. SVM and SVR models, utilizing baseline DC, effectively distinguished the patients from HCs and accurately predicted TR.

Background/Objectives: Subjective cognitive decline (SCD) may serve as an early indicator of Alzheimer's disease (AD). This study investigates regional cerebral blood flow (rCBF) alterations in individuals with SCD using single photon emission computed tomography (SPECT). To characterize rCBF patterns in SCD patients compared to healthy controls and examine the relationship between rCBF and cognitive function. Methods: We compared rCBF in 20 SCD patients and 20 age- and sex-matched healthy controls using 99mTc-ECD SPECT imaging. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), Clinical Dementia Rating (CDR), Geriatric Depression Scale (GDS), and Cognitive Abilities Screening Instrument (CASI). Results: SCD patients demonstrated significantly reduced rCBF in the right superior temporal gyrus (rSTG) (mean uptake ratio [UR] = 0.864 ± 0.090 vs. 1.030 ± 0.074, p < 0.001) and right caudate (mean UR = 0.783 ± 0.068 vs. 0.947 ± 0.062, p < 0.001) compared to controls. Additionally, negative correlations were observed between rCBF in these regions and CDR scores, particularly in the memory domain (rSTG: r = -0.37, p = 0.016; right caudate: r = -0.39, p = 0.011). Conclusions: Reduced rCBF in the rSTG and right caudate may represent early biomarkers for SCD, which could aid in the early detection of AD. These findings suggest that SPECT imaging might be a valuable tool for identifying individuals at risk of cognitive decline, potentially allowing for earlier intervention and targeted preventive strategies in the management of AD.

Major Depressive Disorder (MDD) is a complex, heterogeneous condition affecting millions worldwide. Computational neuropsychiatry offers potential breakthroughs through the mechanistic modeling of this disorder. Using the Kolmogorov theory (KT) of consciousness, we developed a foundational model where algorithmic agents interact with the world to maximize an Objective Function evaluating affective valence. Depression, defined in this context by a state of persistently low valence, may arise from various factors-including inaccurate world models (cognitive biases), a dysfunctional Objective Function (anhedonia, anxiety), deficient planning (executive deficits), or unfavorable environments. Integrating algorithmic, dynamical systems, and neurobiological concepts, we map the agent model to brain circuits and functional networks, framing potential etiological routes and linking with depression biotypes. Finally, we explore how brain stimulation, psychotherapy, and plasticity-enhancing compounds such as psychedelics can synergistically repair neural circuits and optimize therapies using personalized computational models.

Few studies have found long-term effects of early musical environmental enrichment in the NICU on preterm infant's development. This study examines how early music enrichment affects emotional development and effortful control abilities in 12- and 24-month-old very preterm (VPT) infants.

One hundred nineteen newborns were recruited, including 83 VPTs and 36 full-term (FT) infants. The VPT infants were randomly assigned to the music intervention (44 VPT-Music) or control (39 VPT-control) groups. VPT-Music infants listened specifically designed music intervention from the 33rd week of gestation until hospital discharge. At 12 and 24 months, children were clinically evaluated using the Bayley-III Scales of Infant and Toddler Development and the Laboratory Temperament Assessment Battery, and at 24 months, with 3 additional episodes of the Effortful Control Battery.

Our analysis showed that during a fear eliciting task, the VPT-Music group expressed lower level of fear reactivity and higher positive motor actions than VPT-controls and FT infants. At 24 months, the VPT-music group had lower scores for negative motor actions in the joy task, compared to both VPT-control and FT groups. In addition, both FT and VPT-music had higher scores of sustained attention compared to VPT-controls, but the contrasts were not significant. No significant effects on mental, language and motor outcomes were identified and for all three dimensions of the ECBQ.

The present study suggests that an early music intervention in the NICU might influence preterm children's emotional processing at 12 and 24 months. Limitations and suggestions for future research are highlighted.

The interplay between personality traits and impulsivity has long been a central theme in psychology and psychiatry. However, the potential association between Greed Personality Traits (GPT) and impulsivity, encompassing both trait and state impulsivity and future time perspective, remains largely unexplored. To address these issues, we employed questionnaires and an inter-temporal choice task to estimate corresponding trait/state impulsivity and collected multi-modal neuroimaging data (resting-state functional imaging: n = 430; diffusion-weighted imaging: n = 426; task-related functional imaging: n = 53) to investigate the underlying microstructural and functional substrates. Behavioral analyses revealed that GPT mediated the association between time perspective (e.g., present fatalism) and trait impulsivity (e.g., motor impulsivity). Functional imaging analyses further identified that brain activation strengths and patterns related to delay length, particularly in the dorsomedial prefrontal cortex, superior parietal lobule, and cerebellum, were associated with GPT. Moreover, individuals with similar levels of greed exhibited analogous spontaneous brain activity patterns, predominantly in the Default Mode Network (DMN), Fronto-Parietal Network (FPN), and Visual Network (VIS). Diffusion imaging analysis observed specific microstructural characteristics in the spinocerebellar/pontocerebellar fasciculus, internal/external capsule, and corona radiata that support the formation of GPT. Furthermore, the corresponding neural activation pattern, spontaneous neural activity pattern, and analogous functional couplings among the aforementioned brain regions mediated the relationships between time perspective and GPT and between GPT and motor impulsivity. These findings provide novel insights into the possible pathway such as time perspective → dispositional greed → impulsivity and uncover their underlying microstructural and functional substrates.

Language comprehension is an incremental process with prediction. Delineating various mental states during such a process is critical to understanding the relationship between human cognition and the properties of language. Entropy reduction, which indicates the dynamic decrease of uncertainty as language input unfolds, has been recognized as effective in predicting neural responses during comprehension. According to the entropy reduction hypothesis (Hale, 2006), entropy reduction is related to the processing difficulty of a word, the effect of which may overlap with other well-documented information-theoretical metrics such as surprisal or next-word entropy. However, the processing difficulty was often confused with the information conveyed by a word, especially lacking neural differentiation. We propose that entropy reduction represents the cognitive neural process of information gain that can be dissociated from processing difficulty. This study characterized various information-theoretical metrics using GPT-2 and identified the unique effects of entropy reduction in predicting fMRI time series acquired during language comprehension. In addition to the effects of surprisal and entropy, entropy reduction was associated with activations in the left inferior frontal gyrus, bilateral ventromedial prefrontal cortex, insula, thalamus, basal ganglia, and middle cingulate cortex. The reduction of uncertainty, rather than its fluctuation, proved to be an effective factor in modeling neural responses. The neural substrates underlying the reduction in uncertainty might imply the brain's desire for information regardless of processing difficulty.

Maternal stress influences in utero brain development and is a modifiable risk factor for offspring psychopathologies. Reward circuitry dysfunction underlies various internalizing and externalizing psychopathologies. This study examined (1) the association between maternal stress and microstructural characteristics of the neonatal nucleus accumbens (NAcc), a major node of the reward circuitry, and (2) whether neonatal NAcc microstructure modulates individual susceptibility to maternal stress in relation to childhood behavioral problems.

K-means longitudinal cluster analysis was performed to determine trajectories of maternal stress measures (Perceived Stress Scale [PSS], hair cortisol) from preconception to the third trimester. Neonatal NAcc microstructural measures (orientation density index [ODI] and intracellular volume fraction [ICVF]) were compared across trajectories. We then examined the interaction between maternal stress and neonatal NAcc microstructure on child internalizing and externalizing behaviors, assessed between ages 3 and 4 years.

Two trajectories of maternal stress magnitude ("low"/"high") were identified for both PSS (n = 287) and hair cortisol (n = 336). Right neonatal NAcc ODI (rNAcc-ODI) was significantly lower in "low" relative to "high" PSS trajectories (n = 77, p = .04). PSS at preconception had the strongest association with rNAcc-ODI (r = 0.293, p = .029). No differences in NAcc microstructure were found between hair cortisol trajectories. A significant interaction between preconception PSS and rNAcc-ODI on externalizing behavior was observed (n = 47, p = .047).

Our study showed that the preconception period contributes to in utero NAcc development, and that NAcc microstructure modulates individual susceptibility to preconception maternal stress in relation to externalizing problems.

In the S-PRESTO population-based cohort study conducted in Singapore with 351 women and their children, higher levels of maternal perceived stress within the year before pregnancy were associated with increased dendritic complexity within offsprings' nucleus accumbens, indicative of a more advanced developmental profile. Variations in right nucleus accumbens microstructure significantly modulated the association between maternal perceived stress at preconception and externalizing behaviors in early childhood. Study findings suggest that maternal stress in the preconception period accelerates in-utero nucleus accumbens development, leading to differential risk to externalizing problems in later childhood.

Alcohol use disorder (AUD) is a profound psychiatric condition marked by disrupted connectivity among distributed brain regions, indicating impaired functional integration. Previous connectome studies utilizing functional magnetic resonance imaging (fMRI) have predominantly focused on undirected functional connectivity, while the specific alterations in directed effective connectivity (EC) associated with AUD remain unclear. To address this issue, this study utilized multivariate pattern analysis (MVPA) and spectral dynamic causal modeling (DCM). We recruited 32 abstinent men with AUD and 30 healthy controls (HCs) men, and collected their resting-state fMRI data. A regional homogeneity (ReHo)-based MVPA method was employed to classify AUD and HC groups, as well as predict the severity of addiction in AUD individuals. The most informative brain regions identified by the MVPA were further investigated using spectral DCM. Our results indicated that the ReHo-based support vector classification (SVC) exhibits the highest accuracy in distinguishing individuals with AUD from HCs (classification accuracy: 98.57%). Additionally, our results demonstrated that ReHo-based support vector regression (SVR) could be utilized to predict the addiction severity (alcohol use disorders identification test, AUDIT, R2 = 0.38; Michigan alcoholism screening test, MAST, R2 = 0.29) of patients with AUD. The most informative brain regions for the prediction include left pre-SMA, right dACC, right LOFC, right putamen, and right NACC. These findings were validated in an independent data set (35 patients with AUD and 36 HCs, Classification accuracy: 91.67%; AUDIT, R2 = 0.17; MAST, R2 = 0.20). The results of spectral DCM analysis indicated that individuals with AUD exhibited decreased EC from the left pre-SMA to the right putamen, from the right dACC to the right putamen, and from the right LOFC to the right NACC compared to HCs. Moreover, the EC strength from the right NACC to left pre-SMA and from the right dACC to right putamen mediated the relationship between addiction severity (MAST scores) and behavioral measures (impulsive and compulsive scores). These findings provide crucial evidence for the underlying mechanism of impaired self-control, risk assessment, and impulsive and compulsive alcohol consumption in individuals with AUD, providing novel causal insights into both diagnosis and treatment.

Multiple Sclerosis (MS) is an autoimmune disease associated with physical disability, psychological impairment, and cognitive dysfunctions. Consequently, the disease burden is substantial, and treatment choices are limited. In this randomized, double-blind study, we conducted repeated prefrontal electrical stimulation in 40 patients with MS to evaluate mental health variables (quality of life, sleep difficulties, psychological distress) and cognitive dysfunctions (psychomotor speed, working memory, attention/vigilance), marking it as the third largest sample size tDCS research conducted in MS to date.

The patients were randomly assigned (block randomization method) to two groups of sham (n = 20), or 1.5-mA (n = 20) transcranial direct current stimulation (tDCS) targeting the left dorsolateral prefrontal cortex (F3) and right frontopolar cortex (Fp2) with anodal and cathodal stimulation respectively (electrode size: 25 cm2). The treatment included 10 sessions of 20 min of stimulation delivered every other day. Outcome measures were MS quality of life, sleep quality, psychological distress, and performance on a neuropsychological test battery dedicated to cognitive dysfunctions in MS (psychomotor speed, working memory, and attention). All outcome measures were evaluated at the pre-intervention and post-intervention assessments. Both patients and technicians delivering the stimulation were unaware of the type of stimulation being used.

Repeated prefrontal real tDCS significantly improved quality of life and reduced sleep difficulties and psychological distress compared to the sham group. It, furthermore, improved psychomotor speed, attention, and vigilance compared to the sham protocol. Improvement in mental health outcome variables and cognitive outperformance were interrelated and could predict each other.

Repeated prefrontal and frontopolar tDCS ameliorates secondary clinical symptoms related to mental health and results in beneficial cognitive effects in patients with MS. These results support applying prefrontal tDCS in larger trials for improving mental health and cognitive dysfunctions in MS.

ClinicalTrials.gov Identifier: NCT06401928.

Glaucoma and Alzheimer's disease are critical degenerative neuropathies with global impact. Previous studies have indicated that glaucomatous damage could extend beyond ocular structures, leading to brain alterations potentially associated with Alzheimer's disease risk. This study aimed to explore the causal associations among glaucoma, brain alterations, and Alzheimer's disease. We conducted a comprehensive investigation into the genetic correlation and causality between glaucoma, glaucoma endophenotypes, cerebral cortical surficial area and thickness, and Alzheimer's disease (including late-onset Alzheimer's disease, cognitive performance, and reaction time) using linkage disequilibrium score regression and Mendelian randomization. This study showed suggestive genetic correlations between glaucoma, cortical structures, and Alzheimer's disease. The genetically predicted all-caused glaucoma was nominally associated with a decreased risk of Alzheimer's disease (OR = 0.96, 95% CI: 0.93-0.99, P = 0.013). We found evidence for suggestive causality between glaucoma (endophenotypes) and 20 cortical regions and between 29 cortical regions and Alzheimer's disease (endophenotypes). Four cortical regions were causally associated with cognitive performance or reaction time at a significant threshold (P < 6.2E-04). Thirteen shared cortical regions between glaucoma (endophenotypes) and Alzheimer's disease (endophenotypes) were identified. Our findings complex causal relationships among glaucoma, cerebral cortical structures, and Alzheimer's disease. More studies are required to clarify the mediation effect of cortical alterations in the relationship between glaucoma and Alzheimer's disease.

Overweight (OW) and obesity (OB) have become prevalent issues in the global public health arena. Serving as a prominent risk factor for various chronic diseases, overweight/obesity not only poses serious threats to people's physical and mental health but also imposes significant medical and economic burdens on society as a whole. In recent years, there has been a growing focus on basic scientific research dedicated to seeking the neural evidence underlying overweight/obesity, aiming to elucidate its causes and effects by revealing functional alterations in brain networks. Among them, dysfunction in the reward network (RN) and executive control network (ECN) during both resting state and task conditions is considered pivotal in neuroscience research on overweight/obesity. Their aberrations contribute to explaining why persons with overweight/obesity exhibit heightened sensitivity to food rewards and eating disinhibition. This review centers on the reward and executive control network by analyzing and organizing the resting-state and task-based fMRI studies of functional brain network alterations in overweight/obesity. Building upon this foundation, the authors further summarize a reward-inhibition dual-system model, with a view to establishing a theoretical framework for future exploration in this field.

Functional magnetic resonance imaging (fMRI) studies have indicated that the mesocorticolimbic dopamine system is heavily involved in all stages of reward processing. However, the majority of research has been conducted using monetary rewards and it is unclear to what extent other types of rewards, such as social rewards, evoke similar or different neural activation. There have also been few investigations into potential differences or similarities between reward processing in parents and offspring. The present study examined fMRI neural activation in response to monetary and social reward in a sample of 14-22-year-old adolescent girls (N = 145) and a biological parent (N = 124) and compared activation across adolescent-parent dyads (N = 82). Across all participants, both monetary and social reward elicited bilateral striatal activation, which did not differ between reward types or between adolescents and their parents. Neural activation in response to the different reward types were positively correlated in the striatum among adolescents and in the mPFC and OFC among parents. Overall, the present study suggests that both monetary and social reward elicit striatal activation regardless of age and provides evidence that neural mechanisms underlying reward processing may converge differentially among youth and adults.