Preprint
Self-Focused Brain Predictors of Cognitive Behavioral Therapy Response in a Transdiagnostic Sample
medRxiv : the preprint server for health sciences
Cold Spring Harbor Laboratory
09/02/2023
DOI: 10.1101/2023.08.30.23294878
PMCID: PMC10491350
PMID: 37693433
Abstract
Effective biomarkers of cognitive behavioral therapy (CBT) response provide information beyond available behavioral or self-report measures and may optimize treatment selection for patients based on likelihood of benefit. No single biomarker reliably predicts CBT response. In this study, we evaluated patterns of brain connectivity associated with self-focused attention (SFA) as biomarkers of CBT response for anxiety and obsessive-compulsive disorders. We hypothesized that pre-treatment as well as pre- to post-treatment changes in functional connectivity would be associated with improvement during CBT in a transdiagnostic sample.
Twenty-seven patients with primary social anxiety disorder (
=14) and primary body dysmorphic disorder (
=13) were scanned before and after 12 sessions of CBT targeting their primary disorder. Eligibility was based on elevated trait SFA scores on the Public Self-Consciousness Scale. Seed-based resting state functional connectivity associated with symptom improvement was computed using a seed in the posterior cingulate cortex/precuneus that delineated a self-other functional network.
At pre-treatment, stronger positive connectivity of the seed with the cerebellum, insula, middle occipital gyrus, postcentral gyrus, and precuneus/superior parietal lobule, and stronger negative connectivity with the putamen, were associated with greater clinical improvement. Between pre- to post-treatment, greater anticorrelation between the seed and precuneus/superior parietal lobule was associated with clinical improvement, although this did not survive thresholding.
Pre-treatment functional connectivity between regions involved in attentional salience, self-generated thoughts, and external attention predicted greater CBT response. Behavioral and self-report measures of SFA did not contribute to predictions, thus highlighting the value of neuroimaging-based measures of SFA.
ClinicalTrials.gov Identifier: NCT02808702 https://clinicaltrials.gov/ct2/show/NCT02808702.
Details
- Title: Subtitle
- Self-Focused Brain Predictors of Cognitive Behavioral Therapy Response in a Transdiagnostic Sample
- Creators
- Angela Fang - University of WashingtonBengi Baran - University of IowaJamie D Feusner - Centre for Addiction and Mental HealthK Luan Phan - The Ohio State University Wexner Medical CenterClare C Beatty - Stony Brook UniversityJessica Crane - University of WashingtonRyan J Jacoby - Harvard Medical SchoolDara S Manoach - Athinoula A. Martinos Center for Biomedical ImagingSabine Wilhelm - Harvard Medical School
- Resource Type
- Preprint
- Publication Details
- medRxiv : the preprint server for health sciences
- DOI
- 10.1101/2023.08.30.23294878
- PMID
- 37693433
- PMCID
- PMC10491350
- Publisher
- Cold Spring Harbor Laboratory; United States
- Grant note
- K23 MH120351 / NIMH NIH HHS
- Language
- English
- Date posted
- 09/02/2023
- Academic Unit
- Psychiatry; Psychological and Brain Sciences; Iowa Neuroscience Institute
- Record Identifier
- 9984557843402771
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