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Related Concept Videos

Post-traumatic Stress Disorder01:27

Post-traumatic Stress Disorder

131
Post-traumatic stress disorder (PTSD) is a psychiatric condition that arises following exposure to traumatic events such as natural disasters, forced displacement, or severe accidents. It significantly impairs individuals' ability to cope with daily activities and disrupts their emotional and psychological equilibrium.
Symptoms and Behavioral Manifestations
A spectrum of distressing symptoms characterizes PTSD. Recurrent flashbacks, where individuals involuntarily relive traumatic events,...
131

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Related Experiment Video

Updated: Sep 25, 2025

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
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Novel Analysis Identifying Functional Connectivity Patterns Associated with Posttraumatic Stress Disorder.

Natalie Wright1,2, Ronak Patel3, Sarah J Chaulk3

  • 1Department of Human Anatomy and Cell Science, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.

Chronic Stress (Thousand Oaks, Calif.)
|April 25, 2022
PubMed
Summary
This summary is machine-generated.

Researchers identified a unique brain network pattern in posttraumatic stress disorder (PTSD) using graph theory and scaled subprofile modeling. This pattern may serve as an objective biomarker for PTSD, correlating with symptom severity.

Keywords:
PTSDbiomarkerconnectivitygraph theoryprincipal component analysisresting-state fMRI

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Medical Imaging

Background:

  • Posttraumatic stress disorder (PTSD) is a complex psychiatric condition with varied causes and symptoms, often overlapping with other disorders.
  • Understanding PTSD pathophysiology is crucial for improved diagnosis and treatment, but previous functional connectivity findings have been inconsistent.
  • Altered brain functional connectivity is a promising avenue for elucidating PTSD neurobiology.

Purpose of the Study:

  • To investigate intrinsic connectivity within resting state networks in PTSD patients.
  • To compare overall brain network topology between PTSD patients and trauma-exposed controls using graph theory.
  • To identify a disease-related brain network pattern using graph theory and scaled subprofile modeling (SSM).

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was used in two cohorts of participants.
  • Graph theory analysis was applied to assess network topology and intrinsic connectivity.
  • Scaled subprofile modeling (SSM) was combined with graph theory to detect a specific PTSD-related network pattern.

Main Results:

  • No significant group differences were found in standard resting state network connectivity or graph theory metrics.
  • A topographical pattern of altered degree centrality, identified by graph theory/SSM, differentiated PTSD patients from controls.
  • This pattern's expression was lower in trauma-exposed controls and correlated with symptom severity in a separate PTSD cohort.

Conclusions:

  • A novel graph theory/SSM approach identified a PTSD-related brain network organization pattern.
  • This pattern shows potential as an objective biomarker for PTSD, distinguishing patients from controls.
  • The identified network pattern's expression correlates with PTSD symptom severity, suggesting clinical relevance.