Stoyanov D, Paunova R, Dichev J, Kandilarova S, Khorev V, Kurkin S. Functional magnetic resonance imaging study of group independent components underpinning item responses to paranoid-depressive scale. World J Clin Cases 2023; 11(36): 8458-8474 [PMID: 38188204 DOI: 10.12998/wjcc.v11.i36.8458]
Corresponding Author of This Article
Drozdstoy Stoyanov, DSc, Full Professor, Department of Psychiatry, Medical University Plovdiv, Vassil Aprilov 15a, Plovdiv 4000, Bulgaria. drozdstoy.stoyanov@mu-plovdiv.bg
Research Domain of This Article
Psychiatry
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Drozdstoy Stoyanov, Department of Psychiatry, Medical University Plovdiv, Plovdiv 4000, Bulgaria
Rositsa Paunova, Research Institute, Medical University, Plovdiv 4002, Bulgaria
Julian Dichev, Faculty of Medicine, Medical University, Plovdiv 4002, Bulgaria
Sevdalina Kandilarova, Department of Psychiatry and Medical Psychology, Medical University, Plovdiv 4002, Bulgaria
Vladimir Khorev, Semen Kurkin, Baltic Center for Artificial Intelligence and Neurotechnology, Immanuel Kant Baltic Federal University, Kaliningrad 236041, Russia
Author contributions: Stoyanov D designed the research study and wrote the manuscript; Stoyanov D and Kandilarova S performed the research; Paunova R, Kurkin S and Khorev V analyzed the data; all authors have read and approved the final manuscript.
Institutional review board statement: This study was reviewed and approved by the Ethics Committee of Medical University of Plovdiv.
Informed consent statement: All study participants or their legal guardian provided informed written consent about personal and medical data collection prior to study enrolment.
Conflict-of-interest statement: We have no financial relationships to disclose.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Drozdstoy Stoyanov, DSc, Full Professor, Department of Psychiatry, Medical University Plovdiv, Vassil Aprilov 15a, Plovdiv 4000, Bulgaria. drozdstoy.stoyanov@mu-plovdiv.bg
Received: September 26, 2023 Peer-review started: September 26, 2023 First decision: November 9, 2023 Revised: November 10, 2023 Accepted: December 5, 2023 Article in press: December 5, 2023 Published online: December 26, 2023
ARTICLE HIGHLIGHTS
Research background
The background of this study is comprised of earlier contributions of our group. Those contributions include studies of the functional magnetic resonance imaging (fMRI) correlates of the item responses to paranoid and depressive self-assessment scales. Those were studies on patients with depression, schizophrenia (SCZ), and healthy controls, by means of statistical parametric mapping and multivariate linear method.
Research motivation
The research motivation for the current study is to investigate the modulation of the fMRI signals by the diagnostic specific task (paranoid-depressive scale) with more complex toolbox. The group independent component analysis for FMRI toolbox (GIFT).
Research objectives
The primary objective of the study were to reveal the modulation of fMRI signals by diagnostic specific scales item responses in two clinical populations: Patients with SCZ and depression. The secondary objective was to investigate the difference in those signatures across the groups.
Research methods
The methods include clinical assessment, fMRI, statistical methods and GIFT.
Research results
The results indicate that there exist different neural circuits, which are modulated by paranoid and depressive diagnostic specific tasks. There are reported differences in the modulation of those circuits between patients with SCZ and depression.
Research conclusions
The methodology of GIFT is appropriate for translation of functional MRI findings into clinical utility.
Research perspectives
There are perspectives in the application the same methodology to other clinical assessment scales, e.g. for state and trait anxiety as well as for independent replications of the current findings.
