Anatomical likelihood estimation meta-analysis of grey and white matter anomalies in autism spectrum disorders.

ABSTRACT: Autism spectrum disorders (ASD) are characterized by impairments in social communication and restrictive, repetitive behaviors. While behavioral symptoms are well-documented, investigations into the neurobiological underpinnings of ASD have not resulted in firm biomarkers. Variability in findings across structural neuroimaging studies has contributed to difficulty in reliably characterizing the brain morphology of individuals with ASD. These inconsistencies may also arise from the heterogeneity of ASD, and wider age-range of participants included in MRI studies and in previous meta-analyses. To address this, the current study used coordinate-based anatomical likelihood estimation (ALE) analysis of 21 voxel-based morphometry (VBM) studies examining high-functioning individuals with ASD, res

SUBMITTER: DeRamus TP 

PROVIDER: S-EPMC4375647 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature