PT  - JOURNAL ARTICLE
AU  - N Williams
AU  - SH Wang
AU  - G Arnulfo
AU  - L Nobili
AU  - S Palva
AU  - JM Palva
TI  - Modules in connectomes of phase-synchronization comprise anatomically contiguous, functionally related regions
AID  - 10.1101/2021.06.24.449415
DP  - 2023 Jan 01
TA  - bioRxiv
PG  - 2021.06.24.449415
4099  - http://biorxiv.org/content/early/2023/03/22/2021.06.24.449415.short
4100  - http://biorxiv.org/content/early/2023/03/22/2021.06.24.449415.full
AB  - Modules in brain functional connectomes are essential to balancing segregation and integration of neuronal activity. Connectomes are the complete set of pairwise connections between brain regions. Non-invasive Electroencephalography (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 generate 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 grey 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 modules 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 specialised 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.HighlightsLarge-cohort SEEG used for phase-synchronization connectomicsConnectomes of phase-synchronization possess distinct and stable modulesModules in connectomes are highly similar within canonical frequency bandsModules in connectomes comprise anatomically contiguous regionsModules in connectomes comprise functionally related regionsCompeting Interest StatementThe authors have declared no competing interest.