dc.contributor.author | Lombardo,Michael V. | en |
dc.contributor.author | Lai,Meng-Chuan | en |
dc.contributor.author | Auyeung, Bonnie | en |
dc.contributor.author | Holt, R. J. | en |
dc.contributor.author | Allison, Carrie | en |
dc.contributor.author | Smith, P. | en |
dc.contributor.author | Chakrabarti,B. | en |
dc.contributor.author | Ruigrok,Amber N. V. | en |
dc.contributor.author | Suckling,John | en |
dc.contributor.author | Bullmore,Edward T. | en |
dc.contributor.author | Ecker,C. | en |
dc.contributor.author | Craig, Michael C. | en |
dc.contributor.author | Murphy,Declan G. M. | en |
dc.contributor.author | Happé,Francesca | en |
dc.contributor.author | Baron-Cohen,Simon | en |
dc.creator | Lombardo, Michael V. | en |
dc.creator | Lai,Meng-Chuan | en |
dc.creator | Auyeung, Bonnie | en |
dc.creator | Holt, R. J. | en |
dc.creator | Allison, Carrie | en |
dc.creator | Smith, P. | en |
dc.creator | Chakrabarti,B. | en |
dc.creator | Ruigrok,Amber N. V. | en |
dc.creator | Suckling,John | en |
dc.creator | Bullmore,Edward T. | en |
dc.creator | Ecker,C. | en |
dc.creator | Craig, Michael C. | en |
dc.creator | Murphy,Declan G. M. | en |
dc.creator | Happé,Francesca | en |
dc.creator | Baron-Cohen,Simon | en |
dc.date.accessioned | 2017-07-27T10:22:00Z | |
dc.date.available | 2017-07-27T10:22:00Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | https://gnosis.library.ucy.ac.cy/handle/7/37457 | |
dc.description.abstract | 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. © The Author(s) 2016. | en |
dc.source | Scientific Reports | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84993949958&doi=10.1038%2fsrep35333&partnerID=40&md5=2b79992cd42737e0a5559a8085f83aa3 | |
dc.title | Unsupervised data-driven stratification of mentalizing heterogeneity in autism | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1038/srep35333 | |
dc.description.volume | 6 | |
dc.author.faculty | Σχολή Κοινωνικών Επιστημών και Επιστημών Αγωγής / Faculty of Social Sciences and Education | |
dc.author.department | Τμήμα Ψυχολογίας / Department of Psychology | |
dc.type.uhtype | Article | en |
dc.description.notes | Cited By :3; Export Date: 17 July 2017 | en |
dc.contributor.orcid | Lombardo, Michael V. [0000-0001-6780-8619] | |
dc.gnosis.orcid | 0000-0001-6780-8619 | |