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<p>With the aim of clarifying the information value of EEG metrics in studies of the neural network organization of the human brain, quantitative assessment and analysis of the spatial organization of coherence (CohEEG) and a number of local and global graph analysis (GA) metrics based on this characteristic were carried out in 20 healthy subjects at rest. Topograms of CohEEG and local GA metrics for the frequency ranges of physiological rhythms were compared with the cortical projections of the four most significant neural networks: the default mode network (DMN) and the sensorimotor, executive, and frontoparietal networks. For the θ2 (5.9–7.4 Hz), α1 (7.8–9 Hz), and, especially, α2 (9.4–10.2 Hz) frequency bands, the topography of a number of characteristics were found to be nonspecific in relation to neural networks, i.e., spatial coincidence of the maximum values with the cortical projections of several neural networks. It is suggested that there are two neural network connection hubs: the sensorimotor and the frontal hemispheric, these being active even at rest. These preliminary data clarify the concepts of EEG neural network markers and the cerebral organization of the resting state in health and can serve as a reference for similar comparative studies in cerebral pathology.</p>

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Neural Network Characteristics of the Resting State in Healthy Humans Based on EEG Graph Analysis

  • 期刊论文

  • 发表日期：

    2026年2月26日

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  • E. V. Sharova,
  • K. D. Vigasina,
  • M. A. Kulikov,
  • E. L. Masherov,
  • P. M. Gotovtsev

摘要

With the aim of clarifying the information value of EEG metrics in studies of the neural network organization of the human brain, quantitative assessment and analysis of the spatial organization of coherence (CohEEG) and a number of local and global graph analysis (GA) metrics based on this characteristic were carried out in 20 healthy subjects at rest. Topograms of CohEEG and local GA metrics for the frequency ranges of physiological rhythms were compared with the cortical projections of the four most significant neural networks: the default mode network (DMN) and the sensorimotor, executive, and frontoparietal networks. For the θ2 (5.9–7.4 Hz), α1 (7.8–9 Hz), and, especially, α2 (9.4–10.2 Hz) frequency bands, the topography of a number of characteristics were found to be nonspecific in relation to neural networks, i.e., spatial coincidence of the maximum values with the cortical projections of several neural networks. It is suggested that there are two neural network connection hubs: the sensorimotor and the frontal hemispheric, these being active even at rest. These preliminary data clarify the concepts of EEG neural network markers and the cerebral organization of the resting state in health and can serve as a reference for similar comparative studies in cerebral pathology.