Autism classified by magnetic resonance imaging: A pilot study of a potential diagnostic tool.

ABSTRACT:

Objectives

Individual anatomical biomarkers have limited power for the classification of autism. The present study introduces a multivariate classification approach using structural magnetic resonance imaging data from individuals with and without autism.

Methods

The classifier utilizes z-normalization, parameter weighting, and interindividual comparison on brain segmentation data, for estimation of an individual summed total index (TI). The TI indicates whether the gross morphological pattern of each individual's brain is in the direction of cases or controls.

Results

Morphometric analysis found significant differences within subcortical gray matter structures and limbic areas. There was no significant difference in total brain volume. A case-control pilot-study of T

SUBMITTER: Sarovic D 

PROVIDER: S-EPMC7723195 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature