期刊
NEUROIMAGE
卷 272, 期 -, 页码 -出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2023.120036
关键词
Functional connectome; Phase-synchronization; Stereo-electroencephalography (SEEG); Brain network modules; Resting-state; Functional systems
Modules in brain functional connectomes, identified through invasive SEEG recordings, play a crucial role in balancing segregation and integration of neuronal activity. These modules are characterized by distinct and stable patterns of phase-synchronization at multiple spatial scales and across frequencies. They consist of anatomically contiguous cortical regions involved in sensorimotor and cognitive functions, such as memory, language, and attention.
Modules in brain functional connectomes are essential to balancing segregation and integration of neuronal ac-tivity. Connectomes are the complete set of pairwise connections between brain regions. Non-invasive Electroen-cephalography (EEG) and Magnetoencephalography (MEG) have been used to identify modules in connectomes of phase-synchronization. However, their resolution is suboptimal because of spurious phase-synchronization due to EEG volume conduction or MEG field spread. Here, we used invasive, intracerebral recordings from stereo-electroencephalography (SEEG, N = 67), to identify modules in connectomes of phase-synchronization. To gener-ate SEEG-based group-level connectomes affected only minimally by volume conduction, we used submillimeter accurate localization of SEEG contacts and referenced electrode contacts in cortical gray matter to their closest contacts in white matter. Combining community detection methods with consensus clustering, we found that the connectomes of phase-synchronization were characterized by distinct and stable modules at multiple spatial scales, across frequencies from 3 to 320 Hz. These modules were highly similar within canonical frequency bands. Unlike the distributed brain systems identified with functional Magnetic Resonance Imaging (fMRI), modules up to the high-gamma frequency band comprised only anatomically contiguous regions. Notably, the identified mod-ules comprised cortical regions involved in shared repertoires of sensorimotor and cognitive functions including memory, language and attention. These results suggest that the identified modules represent functionally spe-cialised brain systems, which only partially overlap with the brain systems reported with fMRI. Hence, these modules might regulate the balance between functional segregation and functional integration through phase -synchronization.
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