Journal
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE
Volume 8, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fncom.2014.00060
Keywords
autism spectrum condition; MRI; support vector machine; searchlight; endophenotype
Funding
- University of Granada under the Genil PYR [2012-10, CEB09-0010]
- University of Liege
- Clinical Scientist Fellowship from the UK Medical Research Council (MRC) [G0701919]
- UK National Institute for Health Research Cambridge Biomedical Research Centre
- Medical Research Council
- Wellcome Trust
- Autism Research Trust
- MRC [G0701919, G0600977] Funding Source: UKRI
- Medical Research Council [G0001354B, G0701919, G0001354, G1000183B, G0600977] Funding Source: researchfish
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The existence of an endophenotype of autism spectrum condition (ASC) has been recently suggested by several commentators. It can be estimated by finding differences between controls and people with ASC that are also present when comparing controls and the unaffected siblings of ASC individuals. In this work, we used a multivariate methodology applied on magnetic resonance images to look for such differences. The proposed procedure consists of combining a searchlight approach and a support vector machine classifier to identify the differences between three groups of participants in pairwise comparisons: controls, people with ASC and their unaffected siblings. Then we compared those differences selecting spatially collocated as candidate endophenotypes of ASC.
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