Network changes associated with transdiagnostic depressive symptom improvement following cognitive behavioral therapy in MDD and PTSD.

Learn how you can help with a new
Autism, ADHD, Anxiety & Depression study.

CAR stands united with the Black Lives Matter movement
against racism and social injustice. Read more...

TitleNetwork changes associated with transdiagnostic depressive symptom improvement following cognitive behavioral therapy in MDD and PTSD.
Publication TypeJournal Article
Year of Publication2018
AuthorsYang, Z, Gu, S, Honnorat, N, Linn, KA, Shinohara, RT, Aselcioglu, I, Bruce, S, Oathes, DJ, Davatzikos, C, Satterthwaite, TD, Bassett, DS, Sheline, YI
JournalMol Psychiatry
Volume23
Issue12
Pagination2314-2323
Date Published2018 12
ISSN1476-5578
KeywordsAdult, Brain, Brain Mapping, Cognitive Behavioral Therapy, Depression, Depressive Disorder, Major, Female, Humans, Magnetic Resonance Imaging, Middle Aged, Neural Pathways, Prefrontal Cortex, Psychiatric Status Rating Scales, Stress Disorders, Post-Traumatic
Abstract

Despite widespread use of cognitive behavioral therapy (CBT) in clinical practice, its mechanisms with respect to brain networks remain sparsely described. In this study, we applied tools from graph theory and network science to better understand the transdiagnostic neural mechanisms of this treatment for depression. A sample of 64 subjects was included in a study of network dynamics: 33 patients (15 MDD, 18 PTSD) received longitudinal fMRI resting state scans before and after 12 weeks of CBT. Depression severity was rated on the Montgomery-Asberg Depression Rating Scale (MADRS). Thirty-one healthy controls were included to determine baseline network roles. Univariate and multivariate regression analyses were conducted on the normalized change scores of within- and between-system connectivity and normalized change score of the MADRS. Penalized regression was used to select a sparse set of predictors in a data-driven manner. Univariate analyses showed greater symptom reduction was associated with an increased functional role of the Ventral Attention (VA) system as an incohesive provincial system (decreased between- and decreased within-system connectivity). Multivariate analyses selected between-system connectivity of the VA system as the most prominent feature associated with depression improvement. Observed VA system changes are interesting in light of brain controllability descriptions: attentional control systems, including the VA system, fall on the boundary between-network communities, and facilitate integration or segregation of diverse cognitive systems. Thus, increasing segregation of the VA system following CBT (decreased between-network connectivity) may result in less contribution of emotional attention to cognitive processes, thereby potentially improving cognitive control.

DOI10.1038/s41380-018-0201-7
Alternate JournalMol. Psychiatry
PubMed ID30104727
Grant ListR01MH064821 / / U.S. Department of Health & Human Services | National Institutes of Health (NIH) / International
K24MH098260 / / U.S. Department of Health & Human Services | National Institutes of Health (NIH) / International
RC MH089704 / / U.S. Department of Health & Human Services | National Institutes of Health (NIH) / International
R01 EB022573 / / U.S. Department of Health & Human Services | National Institutes of Health (NIH) / International
R01NS085211 / / U.S. Department of Health & Human Services | National Institutes of Health (NIH) / International
R01MH112847 / / U.S. Department of Health & Human Services | National Institutes of Health (NIH) / International
K23 MH090366 / / U.S. Department of Health & Human Services | National Institutes of Health (NIH) / International
R21MH106799 / / U.S. Department of Health & Human Services | National Institutes of Health (NIH) / International
R01MH107703 / / U.S. Department of Health & Human Services | National Institutes of Health (NIH) / International
R21MH106799 / / U.S. Department of Health & Human Services | National Institutes of Health (NIH) / International
R01EB022573 / / U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB) / International
R01MH112847 / / U.S. Department of Health & Human Services | NIH | National Institute on Minority Health and Health Disparities (NIMHD) / International