Altered Blood Oxygen Level-Dependent Signal Stability in the Brain of Patients with Major Depressive Disorder Undergoing Resting-State Functional Magnetic Resonance Imaging.

IF 2.3 4区 心理学 Q3 NEUROSCIENCES Neuropsychobiology Pub Date : 2024-01-01 Epub Date: 2024-11-26 DOI:10.1159/000541720
Hao Zheng, Siyu Fan, Xiaonan Pang, Qiang Wei, Yue Wu, Yanghua Tian, Kai Wang
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Abstract

Introduction: Major depressive disorder (MDD) is a common, relapse-prone psychiatric disorder with unknown pathogenesis. Previous studies on resting-state functional magnetic resonance imaging of MDD have mostly focused on the spontaneous activity of blood oxygen level-dependent (BOLD) signals; however, a few studies have investigated BOLD signal stability.

Methods: We conducted a resting-state functional study in 42 patients with MDD and 42 healthy controls (HC) matched for age and sex. This included the BOLD signal stability, resting-state functional connectivity (RSFC) analysis, correlation analysis, and support vector machine (SVM) analysis.

Results: The BOLD signal stability of the left fusiform gyrus, right inferior temporal gyrus, right temporal pole superior temporal gyrus, and left thalamus was significantly lower in the MDD group compared to the HC group. Further RSFC analysis revealed that the connectivity between right inferior temporal gyrus and both left inferior temporal gyrus and left supramarginal gyrus was significantly reduced in the MDD group. Additionally, the RSFC levels of left thalamus and right thalamus were decreased. Combining BOLD signal stability and RSFC, the SVM-based classification model achieved an accuracy of 80.95% (sensitivity: 78.57%; specificity: 83.33%; receiver-operating characteristic area under the curve: 0.8793).

Conclusion: The integration of the BOLD signal stability index and RSFC index demonstrates a robust capability to differentiate between individuals with MDD and HC subjects. We tentatively believe that a combination of the BOLD signal stability index and RSFC can be used to diagnose MDD.

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接受静息态功能磁共振成像检查的重度抑郁症患者大脑中依赖血氧水平的信号稳定性发生改变
简介重度抑郁障碍(MDD)是一种常见、易复发、发病机制不明的精神疾病。以往关于 MDD 静息态功能磁共振成像的研究大多集中于血氧水平依赖性(BOLD)信号的自发活动;然而,只有少数研究调查了 BOLD 信号的稳定性:我们对 42 名 MDD 患者和 42 名年龄和性别匹配的健康对照者(HC)进行了静息态功能研究。研究内容包括 BOLD 信号稳定性、静息状态功能连通性(RSFC)分析、相关性分析和支持向量机(SVM)分析:结果:与 HC 组相比,MDD 组左侧纺锤形回、右侧颞下回、右侧颞极颞上回和左侧丘脑的 BOLD 信号稳定性明显降低。进一步的 RSFC 分析表明,右颞下回与左颞下回和左侧边际上回之间的连通性在 MDD 组明显降低。此外,左丘脑和右丘脑的 RSFC 水平也有所下降。结合 BOLD 信号稳定性和 RSFC,基于 SVM 的分类模型的准确率达到了 80.95%(灵敏度:78.57%;特异性:83.33%;曲线下接收器操作特征面积:0.8793):结论结论:BOLD 信号稳定性指数和 RSFC 指数的整合显示了区分 MDD 患者和 HC 受试者的强大能力。我们初步认为,BOLD 信号稳定性指数和 RSFC 的组合可用于诊断 MDD。
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来源期刊
Neuropsychobiology
Neuropsychobiology 医学-精神病学
CiteScore
7.20
自引率
0.00%
发文量
26
审稿时长
6 months
期刊介绍: The biological approach to mental disorders continues to yield innovative findings of clinical importance, particularly if methodologies are combined. This journal collects high quality empirical studies from various experimental and clinical approaches in the fields of Biological Psychiatry, Biological Psychology and Neuropsychology. It features original, clinical and basic research in the fields of neurophysiology and functional imaging, neuropharmacology and neurochemistry, neuroendocrinology and neuroimmunology, genetics and their relationships with normal psychology and psychopathology. In addition, the reader will find studies on animal models of mental disorders and therapeutic interventions, and pharmacoelectroencephalographic studies. Regular reviews report new methodologic approaches, and selected case reports provide hints for future research. ''Neuropsychobiology'' is a complete record of strategies and methodologies employed to study the biological basis of mental functions including their interactions with psychological and social factors.
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