Journal
NEURORADIOLOGY
Volume 61, Issue 12, Pages 1343-1353Publisher
SPRINGER
DOI: 10.1007/s00234-019-02238-5
Keywords
Autism spectrum disorder; Diffusion kurtosis imaging; Tract-based spatial statistics; Personality scales
Funding
- JSPS KAKENHI [JP16H06280] Funding Source: Medline
- MEXT-Supported Program for the Private University Research Branding Project [-] Funding Source: Medline
- ImPACT Program of Council for Science, Technology and Innovation (Cabinet Office, Government of Japan) [-] Funding Source: Medline
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Purpose Autism spectrum disorder (ASD) is related to impairment in various white matter (WM) pathways. Utility of the recently developed two-compartment model of diffusion kurtosis imaging (DKI) to analyse axial diffusivity of WM is restricted by several limitations. The present study aims to validate the utility of model-free DKI in the evaluation of WM alterations in ASD and analyse the potential relationship between DKI-evident WM alterations and personality scales. Methods Overall, 15 participants with ASD and 15 neurotypical (NT) controls were scanned on a 3 T magnetic resonance (MR) scanner, and scores for autism quotient (AQ), systemising quotient (SQ) and empathising quotient (EQ) were obtained for both groups. Multishell diffusion-weighted MR data were acquired using two b-values (1000 and 2000 s/mm(2)). Differences in mean kurtosis (MK), radial kurtosis (RK) and axial kurtosis (AK) between the groups were evaluated using tract-based spatial statistics (TBSS). Finally, the relationships between the kurtosis indices and personality quotients were examined. Results The ASD group demonstrated significantly lower AK in the body and splenium of corpus callosum than the NT group; however, no other significant differences were identified. Negative correlations were found between AK and AQ or SQ, predominantly in WM areas related to social-emotional processing such as uncinate fasciculus, inferior fronto-occipital fasciculus, and inferior and superior longitudinal fasciculi. Conclusions Model-free DKI and its indices may represent a novel, objective method for detecting the disease severity and WM alterations in patients with ASD.
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