Modules in Human Electrophysiological Connectomes of Phase-Synchronization

Published: 25 June 2021| Version 3 | DOI: 10.17632/ypx74nmfs8.3
Contributors:
,
Sheng Wang,
Gabriele Arnulfo,
Lino Nobili,
Satu Palva,
Matias Palva

Description

This dataset contains results from a study to identify modules in human connectomes of inter-regional phase-synchronization, from intra-cerebral stereo-EEG (Electroencephalographic) data. 'Module_assignments.xlsx' contains module assignments, separately for left and right hemispheres, for frequencies from 3 Hz to 320 Hz. Module assignments are provided for different spatial scales, as specified by the 'gamma' parameter of the Louvain community detection method, which we used to identify modules. 'NeurosynthTerms_ConsensusModules.xlsx' contains module assignments for 'consensus modules', i.e. sets of regions consistently assigned to the same module across frequencies and spatial scales. Further, it provides sets of terms related to perceptual, cognitive and motor processing, that are selectively associated to each of the consensus modules.

Files

Steps to reproduce

The paper describing methods and results reported in this dataset is now available as a preprint: https://www.biorxiv.org/content/10.1101/2021.06.24.449415v1 The methods we used to identify modules in connectomes of phase-synchronization are also described in: Williams N, Arnulfo G, Nobili L, Palva S, Palva M (2019) "Comparison of methods to identify modules in noisy or incomplete brain networks" Brain Connectivity 9 (2):128-143

Institutions

Helsingin Yliopisto

Categories

Graph-Based Representation, Depth Recording Electroencephalography, Oscillatory Phenomena, Neurophysiology in Adults

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