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  From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder

Wolfers, T., Floris, D., Dingha, R., van Rooij, D., Isakoglou, C., Kia, S., et al. (2019). From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder. Neuroscience and Biobehavioral Reviews, 104, 240-254. doi:10.1016/j.neubiorev.2019.07.010.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0004-6E00-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0004-6E01-0
Genre: Journal Article

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 Creators:
Wolfers, T, Author
Floris, DL, Author
Dingha, R, Author
van Rooij, D, Author
Isakoglou, C, Author
Kia, SM, Author
Zabihi, M, Author
Llera, H, Author
Chowdanayaka, R, Author
Kumar, VJ1, 2, Author              
Peng, H, Author
Laidi, C, Author
Batalle, D, Author
Dimitrova, R, Author
Charman, T, Author
Loth, E, Author
Lai, MC, Author
Jones, E, Author
Baumeister, S, Author
Moessnang, C, Author
Banaschewski, T, AuthorEcker, C, AuthorDumas, G, AuthorO'Muircheartaigh , J, AuthorMurphy, D, AuthorBuitelaar, JK, AuthorMarquand, AF, AuthorBeckmann, CF, Author more..
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: Pattern classification and stratification approaches have increasingly been used in research on Autism Spectrum Disorder (ASD) over the last ten years with the goal of translation towards clinical applicability. Here, we present an extensive scoping literature review on those two approaches. We screened a total of 635 studies, of which 57 pattern classification and 19 stratification studies were included. We observed large variance across pattern classification studies in terms of predictive performance from about 60% to 98% accuracy, which is among other factors likely linked to sampling bias, different validation procedures across studies, the heterogeneity of ASD and differences in data quality. Stratification studies were less prevalent with only two studies reporting replications and just a few showing external validation. While some identified strata based on cognition and intelligence reappear across studies, biology as a stratification marker is clearly underexplored. In summary, mapping biological differences at the level of the individual with ASD is a major challenge for the field now. Conceptualizing those mappings and individual trajectories that lead to the diagnosis of ASD, will become a major challenge in the near future.

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 Dates: 2019-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1016/j.neubiorev.2019.07.010
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Title: Neuroscience and Biobehavioral Reviews
Source Genre: Journal
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Publ. Info: New York [etc.] : Pergamon
Pages: - Volume / Issue: 104 Sequence Number: - Start / End Page: 240 - 254 Identifier: ISSN: 0149-7634
CoNE: https://pure.mpg.de/cone/journals/resource/954928536106