Open AccessDriving brain state transitions in major depressive disorder through external stimulation
Author(s) -
Wang Shengpei,
Wen Hongwei,
Qiu Shuang,
Xie Peng,
Qiu Jiang,
He Huiguang
Publication year - 2022
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.26006
Subject(s) - major depressive disorder , neuroscience , functional magnetic resonance imaging , neuroimaging , psychology , resting state fmri , brain stimulation , stimulation , diffusion mri , biological neural network , brain activity and meditation , deep brain stimulation , functional neuroimaging , magnetic resonance imaging , electroencephalography , medicine , amygdala , parkinson's disease , disease , radiology
Major depressive disorder (MDD) as a dysfunction of neural circuits and brain networks has been established in modern neuroimaging sciences. However, the brain state transitions between MDD and health through external stimulation remain unclear, which limits translation to clinical contexts and demonstrable clinical utility. We propose a framework of the large‐scale whole‐brain network model for MDD linking the underlying anatomical connectivity with functional dynamics obtained from diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI). Then, we further explored the optimal brain regions to promote the transition of brain states between MDD and health through external stimulation of the model. Based on the whole‐brain model successfully fitting the brain state space in MDD and the health, we demonstrated that the transition from MDD to health is achieved by the excitatory activation of the limbic system and from health to MDD by the inhibitory stimulation of the reward circuit. Our finding provides novel biophysical evidence for the neural mechanism of MDD and its recovery and allows the discovery of new stimulation targets for MDD recovery.