Ciqing Bao , Qiaoyang Zhang , Haowen Zou , Wubin Chen , Yi Xia , Rui Yan , Zhijian Yao , Qing Lu
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引用次数: 0
Abstract
Background
Resting-state networks within the brain manifest a dynamic interplay of stable and transient topological configurations, recognized as microstates. Non-suicidal self-injury (NSSI) is considered to involve abnormal neural activity and connectivity. However, the specific patterns of EEG microstates in major depressive disorder patients (MDD) with NSSI remain unclear.
Methods
We obtained resting-state electroencephalogram (EEG) from 102 drug-naïve MDD patients—46 with NSSI behavior, and 56 without—alongside 50 healthy controls. Employing the EEG microstate analysis method, we computed the principal indicators for four distinct classic microstates (A-D), encompassing duration, occurrence, time coverage, and transitional probability.
Results
Compared to the HC group and nNSSI group, the NSSI group showed significantly increased coverage for microstate C. The HC and NSSI groups demonstrated similar performances in microstates A and B. Additionally, HCs had higher coverage and duration of microstate D than both MDD patients (NSSI and nNSSI). We also observed heightened transition probabilities from microstates A and D to C in the NSSI group. In all MDD patients, the frequency of NSSI across time frames (past 1 month, 6 months, 1 year) exhibits a positive correlation with the coverage of microstate C.
Conclusion
Young adults with drug-naïve MDD and NSSI behavior exhibit unique microstate dynamics. These results imply that EEG microstates C could potentially be utilized as neurobiological markers to identify NSSI in individuals with MDD.
期刊介绍:
Founded in 1961 to report on the latest work in psychiatry and cognate disciplines, the Journal of Psychiatric Research is dedicated to innovative and timely studies of four important areas of research:
(1) clinical studies of all disciplines relating to psychiatric illness, as well as normal human behaviour, including biochemical, physiological, genetic, environmental, social, psychological and epidemiological factors;
(2) basic studies pertaining to psychiatry in such fields as neuropsychopharmacology, neuroendocrinology, electrophysiology, genetics, experimental psychology and epidemiology;
(3) the growing application of clinical laboratory techniques in psychiatry, including imagery and spectroscopy of the brain, molecular biology and computer sciences;