Lombardo, M. V., Lai, M.-C., Auyeung, B., Holt, R. J., Allison, C., Smith, P., Chakrabarti, B., Ruigrok, A. N. V., Suckling, J., Bullmore, E. T., Bailey, A. J., Baron-Cohen, S., Bolton, P. F., Bullmore, E. T., Carrington, S., Catani, M., Chakrabarti, B.
ORCID: https://orcid.org/0000-0002-6649-7895, Craig, M. C., Daly, E. M., Deoni, S. C. L., Ecker, C., Happé, F., Henty, J., Jezzard, P., Johnston, P., Jones, D. K., Lai, M.-C., Lombardo, M. V., Madden, A., Mullins, D., Murphy, C. M., Murphy, D. G. M., Pasco, G., Ruigrok, A. N. V., Sadek, S. A., Spain, D., Stewart, R., Suckling, J., Wheelwright, S. J., Williams, S. C., Ellie Wilson, C., Ecker, C., Craig, M. C., Murphy, D. G. M., Happé, F. and Baron-Cohen, S.
(2016)
Unsupervised data-driven stratification of mentalizing heterogeneity in autism.
Scientific Reports, 6.
p. 35333.
ISSN 2045-2322
doi: 10.1038/srep35333
Abstract/Summary
Individuals affected by autism spectrum conditions (ASC) are considerably heterogeneous. Novel approaches are needed to parse this heterogeneity to enhance precision in clinical and translational research. Applying a clustering approach taken from genomics and systems biology on two large independent cognitive datasets of adults with and without ASC (n = 694; n = 249), we find replicable evidence for 5 discrete ASC subgroups that are highly differentiated in item-level performance on an explicit mentalizing task tapping ability to read complex emotion and mental states from the eye region of the face (Reading the Mind in the Eyes Test; RMET). Three subgroups comprising 45–62% of ASC adults show evidence for large impairments (Cohen’s d = −1.03 to −11.21), while other subgroups are effectively unimpaired. These findings delineate robust natural subdivisions within the ASC population that may allow for more individualized inferences and accelerate research towards precision medicine goals.
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| Item Type | Article |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/67642 |
| Identification Number/DOI | 10.1038/srep35333 |
| Refereed | Yes |
| Divisions | Interdisciplinary Research Centres (IDRCs) > Centre for Integrative Neuroscience and Neurodynamics (CINN) Interdisciplinary centres and themes > ASD (Autism Spectrum Disorders) Research Network Life Sciences > School of Psychology and Clinical Language Sciences > Department of Psychology Life Sciences > School of Psychology and Clinical Language Sciences > Neuroscience Life Sciences > School of Psychology and Clinical Language Sciences > Psychopathology and Affective Neuroscience |
| Publisher | Nature Publishing Group |
| Download/View statistics | View download statistics for this item |
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