Frequency-specific network connectivity impairments linked to suicide attempts in major depressive disorder during
Zhongpeng Dai1, Yi Xia2, Hongliang Zhou2
1State Key Laboratory of Brain and Cognitive Sciences, Laboratory of Neuropsychology & Human Neuroscience, The University of Hong Kong, Hong Kong; School of Biological Sciences & Medical Engineering, Child Development and Learning Science, Key Laboratory of Child Development and Learning Science, Ministry of Education, Research Center for Learning Science, Southeast University, Nanjing 210096, China.
Background:
Major depressive disorder (MDD) is a main risk factor of suicide, emphasizing the urgent need for understanding the neurobiological mechanisms underlying suicide attempts (SAs) in depressive patients. We hypothesized that aberrant frequency-specific functional connectivity patterns underlying an executive and inhibition task might be associated with SA in depression.
Methods:
The current study enrolled 143 subjects including 43 healthy controls and 87 patients with MDD (43 patients with SA and 44 without SA), who attended a GO/NOGO task during the magnetoencephalography recording. Time-frequency features in the whole-brain sensors and frequency-specific brain network connectivity patterns were estimated. Behavioral data was recorded during the tasks and neurocognitive assessments were conducted.
Results:
The SA group exhibited poorest behavioral and neurocognitive assessments performances. Decreased alpha/beta oscillations of the GO condition and increased alpha/beta oscillations of NOGO condition were observed in the SA group. Hypo-activated frontal-limbic connectivity in the alpha band and frontal-occipital connectivity in the beta band were observed in the SA group during the GO trials, meanwhile, hyper-activated frontal-temporal connectivity in the alpha band and frontal-parietal connectivity in the beta band were associated with SA during the NOGO trials. Frequency-specific features were correlated with the severity of suicide risk, neurocognitive assessments, and could be used to predict potential SAs.
Conclusions:
Neuroimaging and neurocognitive evidences supported altered alpha/beta oscillations and connectivity patterns associated with SA in depression, suggesting that depressive patients with SA might exhibit impaired cognitive control functions.
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