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Dataset Information

Increased modularity of the resting-state network in children with nonsyndromic cleft lip and palate after speech rehabilitation.


ABSTRACT:

Introduction

Speech therapy is the primary management followed the physical management through surgery for children with nonsyndromic cleft lip and palate (NSCLP). However, the topological pattern of the resting-state network after rehabilitation remains poorly understood. We aimed to explore the functional topological pattern of children with NSCLP after speech rehabilitation compared with healthy controls.

Methods

We examined 28 children with NSCLP after speech rehabilitation (age = 10.0 ± 2.3 years) and 28 healthy controls for resting-state functional MRI. We calculated functional connections and the degree strength, betweenness centrality, network clustering coefficient (Cp), characteristic path length (Lp), global network efficiency (Eg), local network efficiency (Eloc)

SUBMITTER: Cheng H 

PROVIDER: S-EPMC8413807 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature