Abstract
Brain imaging studies contribute to the neurobiological understanding of Autism Spectrum Conditions (ASC). Herein, we tested the prediction that distributed neurodevelopmental abnormalities in brain development impact on the homogeneity of brain tissue measured using texture analysis (TA; a morphological method for surface pattern characterization). TA was applied to structural magnetic resonance brain scans of 54 adult participants (24 with Asperger syndrome (AS) and 30 controls). Measures of mean gray-level intensity, entropy and uniformity were extracted from gray matter images at fine, medium and coarse textures. Comparisons between AS and controls identified higher entropy and lower uniformity across textures in the AS group. Data reduction of texture parameters revealed three orthogonal principal components. These were used as regressors-of-interest in a voxel-based morphometry analysis that explored the relationship between surface texture variations and regional gray matter volume. Across the AS but not control group, measures of entropy and uniformity were related to the volume of the caudate nuclei, whereas mean gray-level was related to the size of the cerebellar vermis. Similar to neuropathological studies, our study provides evidence for distributed abnormalities in the structural integrity of gray matter in adults with ASC, in particular within corticostriatal and corticocerebellar networks. Additionally, this in-vivo technique may be more sensitive to fine microstructural organization than other more traditional magnetic resonance approaches and serves as a future testable biomarker in AS and other neurodevelopmental disorders.
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Acknowledgements
ER and partly HDC are supported by a donation from the ‘Dr Mortimer and Theresa Sackler Foundation’. HDC was supported by a Wellcome Trust Programme Grant and LM was supported by the Shirley Foundation during the acquisition of this data. Dr Nicholas Dowell's assistance with imaging processing is acknowledged.
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Only ER, LM, FDCCB, MAG, NAH, HDC had full access and control of the data and have no conflict of interest to report. BG, CC, RCDY provided TA software (described in the manuscript) and have a commercial interest in the implementation of this textural analysis software in oncology-related applications. There are no other author disclosures.
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Supplementary Information accompanies the paper on the The Pharmacogenomics Journal website
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Radulescu, E., Ganeshan, B., Minati, L. et al. Gray matter textural heterogeneity as a potential in-vivo biomarker of fine structural abnormalities in Asperger syndrome. Pharmacogenomics J 13, 70–79 (2013). https://doi.org/10.1038/tpj.2012.3
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DOI: https://doi.org/10.1038/tpj.2012.3
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