Frequency-dependent functional connectivity within resting-state networks: an atlas-based MEG beamformer solution.

ABSTRACT: The brain consists of functional units with more-or-less specific information processing capabilities, yet cognitive functions require the co-ordinated activity of these spatially separated units. Magnetoencephalography (MEG) has the temporal resolution to capture these frequency-dependent interactions, although, due to volume conduction and field spread, spurious estimates may be obtained when functional connectivity is estimated on the basis of the extra-cranial recordings directly. Connectivity estimates on the basis of reconstructed sources may similarly be affected by biases introduced by the source reconstruction approach. Here we propose an analysis framework to reliably determine functional connectivity that is based around two main ideas: (i) functional connectivity is computed fo

SUBMITTER: Hillebrand A 

PROVIDER: S-EPMC3382730 | biostudies-literature | 2012 Feb

REPOSITORIES: biostudies-literature