Tracking resting state connectivity dynamics in veterans with PTSD.
Han Yuan1, Raquel Phillips2, Chung Ki Wong2
1Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, OK, USA; University of Oklahoma Institute for Biomedical Engineering, Science and Technology, Norman, OK, USA; Laureate Institute for Brain Research, Tulsa, OK, USA.
This study reveals distinct brain network dynamics in veterans with posttraumatic stress disorder (PTSD). Abnormalities in resting-state networks, measured by EEG and fMRI, correlate with PTSD severity and mood.
Area of Science:
- Neuroscience
- Psychiatry
- Medical Imaging
Background:
- Posttraumatic stress disorder (PTSD) is linked to functional brain abnormalities, particularly in threat detection and emotion regulation networks.
- Previous neuroimaging studies report altered salience and executive function networks in PTSD.
Purpose of the Study:
- To investigate the dynamic properties of resting-state functional magnetic resonance imaging (fMRI) networks in combat-related PTSD.
- To utilize a novel multimodal approach integrating electroencephalography (EEG) and fMRI to analyze brain activity.
Main Methods:
- Simultaneous EEG and fMRI were used to record neurobiological activity in 36 veterans with combat-related PTSD and 20 controls.
- A new strategy integrated EEG microstates with fMRI to quantify fast temporal dynamics of resting-state networks.
Main Results:
- Distinct microstate occurrence rates were observed in the dorsal default mode network and salience networks in the PTSD group.
- Dorsal default mode network microstate rates correlated positively with PTSD severity; anterior salience network microstate rates correlated negatively with hedonic tone.
Conclusions:
- Findings highlight abnormal network dynamics in combat-related PTSD, offering insights into the disorder's pathophysiology.
- Simultaneous EEG-fMRI is a promising tool for studying PTSD neurobiology.
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