Depression-induced changes in directed functional brain networks: A source-space resting-state EEG study.

IF 2.6 4区 工程技术 Q1 Mathematics Mathematical Biosciences and Engineering Pub Date : 2024-09-23 DOI:10.3934/mbe.2024315
Zhongwen Jia, Lihan Tang, Jidong Lv, Linhong Deng, Ling Zou
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Abstract

Current research confirms abnormalities in resting-state electroencephalogram (EEG) power and functional connectivity (FC) patterns in specific brain regions of individuals with depression. To study changes in the flow of information between cortical regions of the brain in patients with depression, we used 64-channel EEG to record neural oscillatory activity in 68 relevant cortical regions in 22 depressed patients and 22 healthy adolescents using source-space EEG. The direction and strength of information flow between brain regions was investigated using directional phase transfer entropy (PTE). Compared to healthy controls, we observed an increased intensity of PTE information flow between the left and right hemispheres in the theta and alpha frequency bands in depressed subjects. The intensity of information flow between anterior and posterior regions within each hemisphere was reduced. Significant differences were found in the left supramarginal gyrus, right delta in the theta frequency band and bilateral lateral occipital lobe, and paracentral gyrus and parahippocampal gyrus in the alpha frequency band. The accuracy of cross-classification of directed PTE values with significant differences between groups was 91%. These findings suggest that altered information flow in the brains of depressed patients is related to the pathogenesis of depression, providing insights for patient identification and pathological studies.

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抑郁症诱发的定向大脑功能网络变化:源空间静息态脑电图研究
目前的研究证实,抑郁症患者特定脑区的静息状态脑电图(EEG)功率和功能连接(FC)模式存在异常。为了研究抑郁症患者大脑皮质区域之间信息流的变化,我们使用 64 通道脑电图,利用源空间脑电图记录了 22 名抑郁症患者和 22 名健康青少年 68 个相关皮质区域的神经振荡活动。我们使用方向相位传递熵(PTE)研究了大脑区域之间信息流的方向和强度。与健康对照组相比,我们观察到抑郁症患者左右大脑半球之间在θ和α频段的PTE信息流强度增加。每个半球内前区和后区之间的信息流强度降低。在左侧边缘上回、θ频段的右侧δ和双侧枕叶以及α频段的旁中央回和海马旁回发现了显著差异。对组间存在显著差异的定向 PTE 值进行交叉分类的准确率为 91%。这些发现表明,抑郁症患者大脑中信息流的改变与抑郁症的发病机制有关,为患者识别和病理研究提供了启示。
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来源期刊
Mathematical Biosciences and Engineering
Mathematical Biosciences and Engineering 工程技术-数学跨学科应用
CiteScore
3.90
自引率
7.70%
发文量
586
审稿时长
>12 weeks
期刊介绍: Mathematical Biosciences and Engineering (MBE) is an interdisciplinary Open Access journal promoting cutting-edge research, technology transfer and knowledge translation about complex data and information processing. MBE publishes Research articles (long and original research); Communications (short and novel research); Expository papers; Technology Transfer and Knowledge Translation reports (description of new technologies and products); Announcements and Industrial Progress and News (announcements and even advertisement, including major conferences).
期刊最新文献
Multiscale modelling of hepatitis B virus at cell level of organization. Global sensitivity analysis and uncertainty quantification for a mathematical model of dry anaerobic digestion in plug-flow reactors. Depression-induced changes in directed functional brain networks: A source-space resting-state EEG study. Mathematical modeling of infectious diseases and the impact of vaccination strategies. Retraction notice to "A novel architecture design for artificial intelligence-assisted culture conservation management system" [Mathematical Biosciences and Engineering 20(6) (2023) 9693-9711].
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