Functional Brain Connectivity Revealed by Sparse Coding of Large-Scale Local Field Potential Dynamics.

ABSTRACT: Exploration of brain dynamics patterns has attracted increasing attention due to its fundamental significance in understanding the working mechanism of the brain. However, due to the lack of effective modeling methods, how the simultaneously recorded LFP can inform us about the brain dynamics remains a general challenge. In this paper, we propose a novel sparse coding based method to investigate brain dynamics of freely-behaving mice from the perspective of functional connectivity, using super-long local field potential (LFP) recordings from 13 distinct regions of the mouse brain. Compared with surrogate datasets, six and four reproducible common functional connectivities were discovered to represent the space of brain dynamics in the frequency bands of alpha and theta respectively. Modele

SUBMITTER: Wang H 

PROVIDER: S-EPMC6374165 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature