RT Journal Article
SR Electronic
T1 Spatio-temporal dynamics of stress-induced network reconfigurations reflect negative affectivity
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2021.07.16.452622
DO 10.1101/2021.07.16.452622
A1 Anne Kühnel
A1 Michael Czisch
A1 Philipp G. Sämann
A1 BeCOME Study Team
A1 Elisabeth B. Binder
A1 Nils B. Kroemer
YR 2021
UL http://biorxiv.org/content/early/2021/07/18/2021.07.16.452622.abstract
AB Background Chronic stress is an important risk factor in the etiology of mood and anxiety disorders, but exact pathomechanisms remain to be understood. Mapping individual differences of acute stress-induced neurophysiological changes, especially on the level of neural activation and functional connectivity (FC), could provide important insights in how variation in the individual stress response is linked to disease risk.Methods Using an established psycho-social stress task flanked by two resting-state scans, we measured subjective, physiological, and brain responses to acute stress and recovery in 217 unmedicated participants with and without mood and anxiety disorders. To estimate block-wise changes in stress-induced brain activation and FC, we used hierarchical mixed-effects models based on denoised timeseries within a predefined stress network. We predicted inter- and intra-individual differences in stress phases (anticipation vs. acute stress vs. recovery) and transdiagnostic dimensions of stress reactivity using elastic net and support vector machines.Results We identified four subnetworks showing distinct changes in FC over time. Subnetwork trajectories predicted the stress phase (accuracy: 71%, pperm<.001) and increases in pulse rate (R2=.10, pperm<.001). Critically, individual spatio-temporal trajectories of changes across networks also predicted negative affectivity (ΔR2=.08, pperm=.009), but not the presence or absence of a mood and anxiety disorder.Conclusions Spatio-temporal dynamics of brain network reconfiguration induced by stress reflect individual differences in the psychopathology dimension negative affectivity. These results support the idea that vulnerability for mood and anxiety disorders can be conceptualized best at the level of network dynamics, which may pave the way for improved prediction of individual risk.Competing Interest StatementThe authors have declared no competing interest.