Brain structure associated with autism-like features in a non-clinical population
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Philipps-Universität Marburg
Abstract
Within the present studies, we used the AQ to determine autistic-like traits within
healthy subjects and then performed morphometric analyses, resting state
functional MRI (fMRI) analyses as well as DTI analysis to show structural and
functional brain variations associated with these autistic-like traits.
We analysed magnetic resonance imaging (MRI) data of 250 psychiatrically
healthy subjects. We used voxel-based morphometry of T1-MRIs (Computational
Anatomy Toolbox) and tract-based spatial statistics for diffusion tensor imaging
data. We also analysed sets of MRI data of 233 psychiatrically healthy subjects
using surface-based morphometry (SBM) and resting state fMRI data to further
evaluate those brain variations.
We measured not only the AQ total score but also calculated the subscale scores
to get further information. With this, we wanted to evaluate if any of the correlations
with brain parameters were driven by a specific subscale rather than the overall
AQ score. Since the different subscale scores of the AQ represent different facets
of ASD, as in different autistic-like traits, this could help us to further understand
the aetiology of the disorder.
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This item has been published with the following license: In Copyright