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人类大脑振荡的多重性作为个体大脑特征。

Multiplexity of human brain oscillations as a personal brain signature.

机构信息

Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, Wales, UK.

MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, Wales, UK.

出版信息

Hum Brain Mapp. 2023 Dec 1;44(17):5624-5640. doi: 10.1002/hbm.26466. Epub 2023 Sep 5.

DOI:10.1002/hbm.26466
PMID:37668332
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10619372/
Abstract

Human individuality is likely underpinned by the constitution of functional brain networks that ensure consistency of each person's cognitive and behavioral profile. These functional networks should, in principle, be detectable by noninvasive neurophysiology. We use a method that enables the detection of dominant frequencies of the interaction between every pair of brain areas at every temporal segment of the recording period, the dominant coupling modes (DoCM). We apply this method to brain oscillations, measured with magnetoencephalography (MEG) at rest in two independent datasets, and show that the spatiotemporal evolution of DoCMs constitutes an individualized brain fingerprint. Based on this successful fingerprinting we suggest that DoCMs are important targets for the investigation of neural correlates of individual psychological parameters and can provide mechanistic insight into the underlying neurophysiological processes, as well as their disturbance in brain diseases.

摘要

人类的个性很可能是由功能大脑网络的构成所支撑的，这些网络确保了每个人认知和行为特征的一致性。这些功能网络原则上应该可以通过非侵入性神经生理学来检测。我们使用一种方法，可以检测记录期间每个时间片段中每个大脑区域对之间相互作用的主导频率，即主导耦合模式（DoCM）。我们将这种方法应用于脑振荡的测量，使用静息态磁共振脑磁图（MEG）在两个独立的数据集上进行测量，并表明 DoCM 的时空演化构成了个性化的大脑指纹。基于这个成功的指纹，我们提出 DoCM 是研究个体心理参数的神经相关性的重要目标，并为潜在的神经生理过程及其在脑部疾病中的干扰提供机制上的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/44c716393647/HBM-44-5624-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/ea19dbce594c/HBM-44-5624-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/5773b8f0ee2a/HBM-44-5624-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/0fb7ec5c3745/HBM-44-5624-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/2edbadae56d6/HBM-44-5624-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/2b51ce51a4dd/HBM-44-5624-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/ba37be4eff19/HBM-44-5624-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/7517bd295851/HBM-44-5624-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/44c716393647/HBM-44-5624-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/ea19dbce594c/HBM-44-5624-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/5773b8f0ee2a/HBM-44-5624-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/0fb7ec5c3745/HBM-44-5624-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/2edbadae56d6/HBM-44-5624-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/2b51ce51a4dd/HBM-44-5624-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/ba37be4eff19/HBM-44-5624-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/7517bd295851/HBM-44-5624-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d95c/10619372/44c716393647/HBM-44-5624-g001.jpg

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