Altered effective connectivity network of the thalamus in post-traumatic stress disorder: a resting-state FMRI study with granger causality method

Post-traumatic stress disorder (PTSD) is an anxiety disorder that can develop following a traumatic event. Previous studies have found abnormal functional connectivity between the thalamus and other brain regions. However, the traditional functional connectivity method cannot investigate the directional flow of the influence in PTSD. In the present study, we used an effective connectivity method based on Granger causality to explore altered direction of causal information flow within a network associated with the thalamus in PTSD. Employing this method, we found that PTSD patients exhibited increased influence from thalamus to middle/inferior frontal gyrus and insula, and increased bidirectional influences between thalamus and medial prefrontal cortex compared to healthy controls. This is the first study to reveal a network of abnormal effective connectivity in PTSD. In addition, using the machine learning approach, we found that the altered functional measurements could differentiate patients from healthy controls. Our findings may have important implications for the pathophysiological basis underlying PTSD.

[1]  S. Rombouts,et al.  Resting-state functional MR imaging: a new window to the brain. , 2014, Radiology.

[2]  V. Menon,et al.  Saliency, switching, attention and control: a network model of insula function , 2010, Brain Structure and Function.

[3]  Q. Gong,et al.  Altered resting-state functional connectivity of thalamus in earthquake-induced posttraumatic stress disorder: A functional magnetic resonance imaging study , 2011, Brain Research.

[4]  Karl J. Friston,et al.  Anterior insular cortex and emotional awareness , 2013, The Journal of comparative neurology.

[5]  Chaogan Yan,et al.  DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010, Front. Syst. Neurosci..

[6]  Dennis S. Charney,et al.  Clinician-Administered PTSD Scale , 2011 .

[7]  J. Geweke,et al.  Measurement of Linear Dependence and Feedback between Multiple Time Series , 1982 .

[8]  Z. Steel,et al.  Can structured interviews for posttraumatic stress disorder assist clinical decision-making after motor vehicle accidents? An exploratory analysis. , 2006, Comprehensive psychiatry.

[9]  T. Egner,et al.  Emotional processing in anterior cingulate and medial prefrontal cortex , 2011, Trends in Cognitive Sciences.

[10]  Yufeng Zang,et al.  DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010 .

[11]  R. Kahn,et al.  Altered functional connectivity in posttraumatic stress disorder with versus without comorbid major depressive disorder: a resting state fMRI study. , 2013, F1000Research.

[12]  D. Charney,et al.  The development of a Clinician-Administered PTSD Scale , 1995, Journal of traumatic stress.

[13]  C. Granger Investigating causal relations by econometric models and cross-spectral methods , 1969 .

[14]  Klaas E. Stephan,et al.  A short history of causal modeling of fMRI data , 2012, NeuroImage.