Optimal information-sharing in brain resting state networks

Details Optimal information-sharing in brain resting state networks Optimal information-sharing in brain resting state networks

2010-11-04

arxiv.org/abs/1011.1192v1

Biology

Quantitative Biology

Neurons and Cognition

Scientific paper

The continuous interaction between brain regions "at rest" defines the so-called resting state networks (RSN) which can be reconstructed from the analysis of functional magnetic resonance imaging (fMRI) data. What dynamical mechanism allows for a flexible large-scale organization of the RSN still remains an important challenge. Here, three key novel properties of the RSN are uncovered. First, the correlation length (i.e., the length at which correlation between two regions vanishes) diverges with the cluster's size considered. Second, this divergence it is observed also for measures of mutual information. Third, the variance of the fMRI mean signal remains constant across the entire range of observed clusters sizes, in contrast with naive expectations. The unveiled scale invariance exposes the RSN optimal information-sharing properties across very diverse networks sizes, architectures and functions, which can be an important marker of healthy brain dynamics.

Affiliated with

Also associated with

No associations

Rating

Optimal information-sharing in brain resting state networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Optimal information-sharing in brain resting state networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optimal information-sharing in brain resting state networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-146249