PT  - JOURNAL ARTICLE
AU  - Becker, Robert
AU  - Hervais-Adelman, Alexis
TI  - Resolving the Connectome, Spectrally-Specific Functional Connectivity Networks and Their Distinct Contributions to Behavior
AID  - 10.1523/ENEURO.0101-20.2020
DP  - 2020 Sep 01
TA  - eneuro
PG  - ENEURO.0101-20.2020
VI  - 7
IP  - 5
4099  - http://www.eneuro.org/content/7/5/ENEURO.0101-20.2020.short
4100  - http://www.eneuro.org/content/7/5/ENEURO.0101-20.2020.full
SO  - eNeuro2020 Sep 01; 7
AB  - The resting human brain exhibits spontaneous patterns of activity that reflect features of the underlying neural substrate. Examination of interareal coupling of resting-state oscillatory activity has revealed that the brain’s resting activity is composed of functional networks, whose topographies differ depending on oscillatory frequency, suggesting a role for carrier frequency as a means of creating multiplexed, or functionally segregated, communication channels between brain areas. Using canonical correlation analysis (CCA), we examined spectrally resolved resting-state connectivity patterns derived from magnetoencephalography (MEG) recordings to determine the relationship between connectivity intrinsic to different frequency channels and a battery of over a hundred behavioral and demographic indicators, in a group of 89 young healthy participants. We demonstrate that each of the classical frequency bands in the range 1–40 Hz (δ, θ, α, β, and γ) delineates a subnetwork that is behaviorally relevant, spatially distinct, and whose expression is either negatively or positively predictive of individual traits, with the strongest link in the α-band being negative and networks oscillating at different frequencies, such as θ, β, and γ carrying positive function.