scholarly journals Resting state functional connectivity of the anterior cingulate cortex in veterans with and without post-traumatic stress disorder

2014 ◽  
Vol 36 (1) ◽  
pp. 99-109 ◽  
Author(s):  
Mitzy Kennis ◽  
Arthur R. Rademaker ◽  
Sanne J.H. van Rooij ◽  
René S. Kahn ◽  
Elbert Geuze
Keyword(s):  
Functional Connectivity ◽  
Anterior Cingulate Cortex ◽  
Post Traumatic Stress Disorder ◽  
Traumatic Stress ◽  
Resting State ◽  
Stress Disorder ◽  
Anterior Cingulate ◽  
Post Traumatic Stress ◽  
Resting State Functional Connectivity ◽  
Post Traumatic

scholarly journals Altered resting-state dorsal anterior cingulate cortex functional connectivity in patients with post-traumatic stress disorder

2018 ◽  
Vol 53 (1) ◽  
pp. 68-79 ◽  
Author(s):  
Hui Juan Chen ◽  
Li Zhang ◽  
Jun Ke ◽  
Rongfeng Qi ◽  
Qiang Xu ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Anterior Cingulate Cortex ◽  
Post Traumatic Stress Disorder ◽  
Traumatic Stress ◽  
Stress Disorder ◽  
Cingulate Cortex ◽  
Anterior Cingulate ◽  
Post Traumatic Stress ◽  
Dorsal Anterior Cingulate Cortex ◽  
Post Traumatic

Objective: The brain functional alterations at regional and network levels in post-traumatic stress disorder patients are still unclear. This study explored brain functional alterations at regional and network levels in post-traumatic stress disorder patients with resting-state functional magnetic resonance imaging and evaluated the relationship between brain function and clinical indices in post-traumatic stress disorder. Methods: Amplitude of low-frequency fluctuation and seed-based functional connectivity analyses were conducted among typhoon survivors with ( n = 27) and without post-traumatic stress disorder ( n = 33) and healthy controls ( n = 30) to assess the spontaneous brain activity and network-level brain function. Pearson correlation analyses were performed to examine the association of brain function with clinical symptom and social support. Results: Both the post-traumatic stress disorder group and the trauma-exposed control group showed decreased amplitude of low-frequency fluctuation in the dorsal anterior cingulate cortex relative to the healthy control group. The post-traumatic stress disorder group showed increased dorsal anterior cingulate cortex functional connectivity with the right paracentral lobule and bilateral precentral gyrus/postcentral gyrus relative to both control groups. Both traumatized groups exhibited decreased dorsal anterior cingulate cortex functional connectivity with the right hippocampus and left cerebellum relative to the healthy control group. More decreased dorsal anterior cingulate cortex functional connectivity with the right hippocampus was found in the post-traumatic stress disorder group. The Checklist-Civilian Version score positively correlated with functional connectivity between the dorsal anterior cingulate cortex and the right paracentral lobule as well as between the dorsal anterior cingulate cortex and the right precentral gyrus/postcentral gyrus. The social support was associated with functional connectivity between the dorsal anterior cingulate cortex and the bilateral precentral gyrus/postcentral gyrus as well as the dorsal anterior cingulate cortex and the left middle frontal gyrus. Conclusion: Trauma exposure may result in aberrant local and network-level functional connectivity in individuals with or without post-traumatic stress disorder. Altered amplitude of low-frequency fluctuation in the dorsal anterior cingulate cortex may be a predisposing risk factor for post-traumatic stress disorder development following trauma exposure. More prominent decreased dorsal anterior cingulate cortex functional connectivity with the right hippocampus might be specific in the post-traumatic stress disorder group. Improvement of social support might possibly be significant for post-traumatic stress disorder patients.

scholarly journals Individualized Prediction of PTSD Symptom Severity in Trauma Survivors From Whole-Brain Resting-State Functional Connectivity

2020 ◽  
Vol 14 ◽  
Author(s):  
Xueling Suo ◽  
Du Lei ◽  
Wenbin Li ◽  
Jing Yang ◽  
Lingjiang Li ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Post Traumatic Stress Disorder ◽  
Traumatic Stress ◽  
Resting State ◽  
Symptom Severity ◽  
Stress Disorder ◽  
Trauma Survivors ◽  
Post Traumatic Stress ◽  
Resting State Functional Connectivity ◽  
Post Traumatic

Previous studies have demonstrated relations between spontaneous neural activity evaluated by resting-state functional magnetic resonance imaging (fMRI) and symptom severity in post-traumatic stress disorder. However, few studies have used brain-based measures to identify imaging associations with illness severity at the level of individual patients. This study applied connectome-based predictive modeling (CPM), a recently developed data-driven and subject-level method, to identify brain function features that are related to symptom severity of trauma survivors. Resting-state fMRI scans and clinical ratings were obtained 10–15 months after the earthquake from 122 earthquake survivors. Symptom severity of post-traumatic stress disorder features for each survivor was evaluated using the Clinician Administered Post-traumatic Stress Disorder Scale (CAPS-IV). A functionally pre-defined atlas was applied to divide the human brain into 268 regions. Each individual’s functional connectivity 268 × 268 matrix was created to reflect correlations of functional time series data across each pair of nodes. The relationship between CAPS-IV scores and brain functional connectivity was explored in a CPM linear model. Using a leave-one-out cross-validation (LOOCV) procedure, findings showed that the positive network model predicted the left-out individual’s CAPS-IV scores from resting-state functional connectivity. CPM predicted CAPS-IV scores, as indicated by a significant correspondence between predicted and actual values (r = 0.30, P = 0.001) utilizing primarily functional connectivity between visual cortex, subcortical-cerebellum, limbic, and motor systems. The current study provides data-driven evidence regarding the functional brain features that predict symptom severity based on the organization of intrinsic brain networks and highlights its potential application in making clinical evaluation of symptom severity at the individual level.

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