Resolving the connectome – Spectrally-specific functional connectivity networks and their distinct contributions to behaviour
Robert Becker, Alexis Hervais-Adelman
Received Date: 15th July 19
In the absence of a task, the brain at rest spontaneously displays activity that reflects features of the underlying neural substrate. Examination of inter-areal coupling of resting state oscillatory activity reveals that the brain’s resting activity is composed of functionally connected networks, which differ depending upon oscillatory frequency, suggesting a role for carrier frequency as a means of creating multiplexed, or functionally segregated, communication channels between brain areas. In a group of 89 participants we examined spectrally-resolved resting-state connectivity patterns derived from MEG recordings to determine the relationship between connectivity intrinsic to different frequency channels and a battery of over a hundred behavioural and demographic indicators, using canonical correlation analysis. We demonstrate that each of the classical frequency bands in the range 1-40Hz (delta, theta, alpha, beta and gamma) delineates a subnetwork that is behaviourally relevant, spatially distinct, and whose expression is predictive of either positive or negative individual traits.
Read in full at bioRxiv.
This is an abstract of a preprint hosted on an independent third party site. It has not been peer reviewed but is currently under consideration at Nature Communications.