Disruption of functional networks in dyslexia: a whole-brain, data-driven analysis of connectivity.

ABSTRACT:

Background

Functional connectivity analyses of functional magnetic resonance imaging data are a powerful tool for characterizing brain networks and how they are disrupted in neural disorders. However, many such analyses examine only one or a small number of a priori seed regions. Studies that consider the whole brain frequently rely on anatomic atlases to define network nodes, which might result in mixing distinct activation time-courses within a single node. Here, we improve upon previous methods by using a data-driven brain parcellation to compare connectivity profiles of dyslexic (DYS) versus non-impaired (NI) readers in the first whole-brain functional connectivity analysis of dyslexia.

Methods

Whole-brain connectivity was assessed in children (n = 75; 43 NI, 32 DYS) and

SUBMITTER: Finn ES 

PROVIDER: S-EPMC3984371 | biostudies-literature | 2014 Sep

REPOSITORIES: biostudies-literature