TY - JOUR
T1 - Relationships between global functioning and neuropsychological predictors in subjects at high risk of psychosis or with a recent onset of depression
AU - the PRONIA consortium
AU - Squarcina, Letizia
AU - Kambeitz-Ilankovic, Lana
AU - Bonivento, Carolina
AU - Prunas, Cecilia
AU - Oldani, Lucio
AU - Wenzel, Julian
AU - Ruef, Anne
AU - Dwyer, Dominic
AU - Ferro, Adele
AU - Borgwardt, Stefan
AU - Kambeitz, Joseph
AU - Lichtenstein, Theresa Katharina
AU - Meisenzahl, Eva
AU - Pantelis, Christos
AU - Rosen, Marlene
AU - Upthegrove, Rachel
AU - Antonucci, Linda A.
AU - Bertolino, Alessandro
AU - Lencer, Rebekka
AU - Ruhrmann, Stephan
AU - Salokangas, Raimo R.K.
AU - Schultze-Lutter, Frauke
AU - Chisholm, Katharine
AU - Stainton, Alexandra
AU - Wood, Stephen J.
AU - Koutsouleris, Nikolaos
AU - Brambilla, Paolo
N1 - Publisher Copyright:
© 2022 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022/9/14
Y1 - 2022/9/14
N2 - Objective: Psychotic disorders are frequently associated with decline in functioning and cognitive difficulties are observed in subjects at clinical high risk (CHR) for psychosis. In this work, we applied automatic approaches to neurocognitive and functioning measures, with the aim of investigating the link between global, social and occupational functioning, and cognition. Methods: 102 CHR subjects and 110 patients with recent onset depression (ROD) were recruited. Global assessment of functioning (GAF) related to symptoms (GAF-S) and disability (GAF-D). and global functioning social (GF-S) and role (GF-R), at baseline and of the previous month and year, and a set of neurocognitive measures, were used for classification and regression. Results: Neurocognitive measures related to GF-R at baseline (r = 0.20, p = 0.004), GF-S at present (r = 0.14, p = 0.042) and of the past year (r = 0.19, p = 0.005), for GAF-F of the past month (r = 0.24, p < 0.001) and GAF-D of the past year (r = 0.28, p = 0.002). Classification reached values of balanced accuracy of 61% for GF-R and GAF–D. Conclusion: We found that neurocognition was related to psychosocial functioning. More specifically, a deficit in executive functions was associated to poor social and occupational functioning.
AB - Objective: Psychotic disorders are frequently associated with decline in functioning and cognitive difficulties are observed in subjects at clinical high risk (CHR) for psychosis. In this work, we applied automatic approaches to neurocognitive and functioning measures, with the aim of investigating the link between global, social and occupational functioning, and cognition. Methods: 102 CHR subjects and 110 patients with recent onset depression (ROD) were recruited. Global assessment of functioning (GAF) related to symptoms (GAF-S) and disability (GAF-D). and global functioning social (GF-S) and role (GF-R), at baseline and of the previous month and year, and a set of neurocognitive measures, were used for classification and regression. Results: Neurocognitive measures related to GF-R at baseline (r = 0.20, p = 0.004), GF-S at present (r = 0.14, p = 0.042) and of the past year (r = 0.19, p = 0.005), for GAF-F of the past month (r = 0.24, p < 0.001) and GAF-D of the past year (r = 0.28, p = 0.002). Classification reached values of balanced accuracy of 61% for GF-R and GAF–D. Conclusion: We found that neurocognition was related to psychosocial functioning. More specifically, a deficit in executive functions was associated to poor social and occupational functioning.
KW - classification
KW - Cognition
KW - machine learning
KW - neuropsychology
UR - http://www.scopus.com/inward/record.url?scp=85123490661&partnerID=8YFLogxK
U2 - 10.1080/15622975.2021.2014955
DO - 10.1080/15622975.2021.2014955
M3 - Article
AN - SCOPUS:85123490661
SN - 1562-2975
VL - 23
SP - 573
EP - 581
JO - World Journal of Biological Psychiatry
JF - World Journal of Biological Psychiatry
IS - 8
ER -
