A multivariate cognitive approach to predict social functioning in recent onset psychosis in response to computerized cognitive training

N Walter; J Wenzel; SS Haas; L Squarcina; C Bonivento; A Ruef; D Dwyer; T Lichtenstein; Ö Bastrük; A Stainton; LA Antonucci; P Brambilla; SJ Wood; R Upthegrove; S Borgwardt; R Lencer; E Meisenzahl; RKR Salokangas; C Pantelis; A Bertolino; N Koutsouleris; J Kambeitz; L Kambeitz-Ilankovic

Journal article

A multivariate cognitive approach to predict social functioning in recent onset psychosis in response to computerized cognitive training

N Walter, J Wenzel, SS Haas, L Squarcina, C Bonivento, A Ruef, D Dwyer, T Lichtenstein, Ö Bastrük, A Stainton, LA Antonucci, P Brambilla, SJ Wood, R Upthegrove, S Borgwardt, R Lencer, E Meisenzahl, RKR Salokangas, C Pantelis, A Bertolino Show all

Progress in Neuro Psychopharmacology and Biological Psychiatry | PERGAMON-ELSEVIER SCIENCE LTD | Published : 2024

DOI: 10.1016/j.pnpbp.2023.110864

Abstract

Clinical and neuroimaging data has been increasingly used in recent years to disentangle heterogeneity of treatment response to cognitive training (CT) and predict which individuals may achieve the highest benefits. CT has small to medium effects on improving cognitive and social functioning in recent onset psychosis (ROP) patients, who show the most profound cognitive and social functioning deficits among psychiatric patients. We employed multivariate pattern analysis (MVPA) to investigate the potential of cognitive data to predict social functioning improvement in response to 10 h of CT in patients with ROP. A support vector machine (SVM) classifier was trained on the naturalistic data of ..

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