Trauma-predictive brain network connectivity adaptively responds to mild acute stress

Area of Science:

• Neuroscience
• Psychiatry
• Computational Neuroscience

Background:

• Past traumatic experiences significantly influence neural responses to subsequent stressors.
• The precise mechanisms by which trauma shapes stress reactivity remain incompletely understood.

Purpose of the Study:

• To investigate real-time neural responses of trauma-related brain networks to acute stress.
• To identify brain connectivity patterns predictive of past trauma exposure.
• To examine how acute stress and hydrocortisone affect these trauma-predictive networks.

Main Methods:

• Utilized connectome-based predictive modeling (CPM) to identify brain networks associated with past trauma exposure in adults.
• Assessed the dynamic response of these networks to an acute emotional and physiological stressor.
• Evaluated network responses to pharmacological manipulation with hydrocortisone in a crossover study.

Main Results:

• CPM successfully predicted past trauma exposure, highlighting the role of the salience network, medial frontal cortex, default mode network, and cerebellum.
• Connectivity within the trauma-predictive network was significantly attenuated by acute stress and hydrocortisone administration compared to control conditions.
• Attenuated network connectivity post-stress correlated with reduced depressive symptoms in the stress-exposed group.

Conclusions:

• Stress can lead to blunted connectivity in brain networks associated with prior trauma.
• Reduced engagement of these trauma-predictive networks may represent an adaptive regulatory mechanism for coping with subsequent stress.
• Findings offer insights into the neurobiological underpinnings of stress-related disorders and resilience.