Identifying endophenotypes of autism: a multivariate approach

[en] 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.

Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

Segovia-Román, Fermín ; Université de Liège - ULiège > Centre de recherches du cyclotron

Holt, Rosemary; University of Cambridge (UK) > Department of Psychiatry > Autism Research Centre

Spencer, Michael; University of Cambridge (UK) > Department of Psychiatry > Autism Research Centre

Górriz Sáez, Juan Manuel; Universidad de Granada (España) = University of Granada (Spain) - UGR > Department of Signal Theory, Networking and Communications

Ramírez Pérez de Inestrosa, Javier; Universidad de Granada (España) = University of Granada (Spain) - UGR > Department of Signal Theory, Networking and Communications

Puntonet, Carlos G.; Universidad de Granada (España) = University of Granada (Spain) - UGR > Department of Computer Architecture and Technology

Phillips, Christophe ; Université de Liège - ULiège > Centre de recherches du cyclotron

Chura, Lindsay; University of Cambridge (UK) > Department of Psychiatry > Autism Research Centre

Baron-Cohen, Simon; University of Cambridge (UK) > Department of Psychiatry > Autism Research Centre

Suckling, John; University of Cambridge (UK) > Department of Psychiatry > Autism Research Centre

Language :

English

Title :

Identifying endophenotypes of autism: a multivariate approach

Publication date :

June 2014

Journal title :

Frontiers in Computational Neuroscience

eISSN :

1662-5188

Publisher :

Frontiers Media S.A., Switzerland

Volume :

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00060/

Available on ORBi :

since 26 July 2014

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