Dataset Information

Multi-voxel pattern analysis of amygdala functional connectivity at rest predicts variability in posttraumatic stress severity.

ABSTRACT:

Introduction

Resting state functional magnetic resonance imaging (rsfMRI) studies demonstrate that individuals with posttraumatic stress disorder (PTSD) exhibit atypical functional connectivity (FC) between the amygdala, involved in the generation of emotion, and regions responsible for emotional appraisal (e.g., insula, orbitofrontal cortex [OFC]) and regulation (prefrontal cortex [PFC], anterior cingulate cortex). Consequently, atypical amygdala FC within an emotional processing and regulation network may be a defining feature of PTSD, although altered FC does not seem constrained to one brain region. Instead, altered amygdala FC involves a large, distributed brain network in those with PTSD. The present study used a machine-learning data-driven approach, multi-voxel pattern analysis (MVPA), to predict PTSD severity based on whole-brain patterns of amygdala FC.

Methods

Trauma-exposed adults (N = 90) completed the PTSD Checklist-Civilian Version to assess symptoms and a 5-min rsfMRI. Whole-brain FC values to bilateral amygdala were extracted and used in a relevance vector regression analysis with a leave-one-out approach for cross-validation with permutation testing (1,000) to obtain significance values.

Results

Results demonstrated that amygdala FC predicted PCL-C scores with statistically significant accuracy (r = .46, p = .001; mean sum of squares = 130.46, p = .001; R² = 0.21, p = .001). Prediction was based on whole-brain amygdala FC, although regions that informed prediction (top 10%) included the OFC, amygdala, and dorsolateral PFC.

Conclusion

Findings demonstrate the utility of MVPA based on amygdala FC to predict individual severity of PTSD symptoms and that amygdala FC within a fear acquisition and regulation network contributed to accurate prediction.

SUBMITTER: Fitzgerald JM

PROVIDER: S-EPMC7428479 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Publications

Multi-voxel pattern analysis of amygdala functional connectivity at rest predicts variability in posttraumatic stress severity.

Fitzgerald Jacklynn M JM Belleau Emily L EL Miskovich Tara A TA Pedersen Walker S WS Larson Christine L CL

Brain and behavior 20200611 8

<h4>Introduction</h4>Resting state functional magnetic resonance imaging (rsfMRI) studies demonstrate that individuals with posttraumatic stress disorder (PTSD) exhibit atypical functional connectivity (FC) between the amygdala, involved in the generation of emotion, and regions responsible for emotional appraisal (e.g., insula, orbitofrontal cortex [OFC]) and regulation (prefrontal cortex [PFC], anterior cingulate cortex). Consequently, atypical amygdala FC within an emotional processing and re ...[more]

PMID: 32525273

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Dataset Information

Multi-voxel pattern analysis of amygdala functional connectivity at rest predicts variability in posttraumatic stress severity.

Introduction

Methods

Results

Conclusion

Publications

Multi-voxel pattern analysis of amygdala functional connectivity at rest predicts variability in posttraumatic stress severity.

Similar Datasets

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