Intrinsic connectivity patterns of task-defined brain networks allow individual prediction of cognitive symptom dimension of schizophrenia and are linked to molecular architecture

Despite the marked inter-individual variability in the clinical presentation of schizophrenia, it remains unclear the extent to which individual dimensions of psychopathology relate to the functional variability in brain networks among patients. Here, we address this question using network-based predictive modeling of individual psychopathology along four data-driven symptom dimensions. Follow-up analyses assess the molecular underpinnings of predictive networks by relating them to neurotransmitter-receptor distribution patterns.

Source: Biological Psychiatry - October 2, 2020 Category: Psychiatry Authors: Ji Chen, Veronika I. M üller, Juergen Dukart, Felix Hoffstaedter, Justin T. Baker, Avram J. Holmes, Deniz Vatansever, Thomas Nickl-Jockschat, Xiaojin Liu, Birgit Derntl, Lydia Kogler, Renaud Jardri, Oliver Gruber, André Aleman, Iris E. Sommer, Simon B. Tags: Archival Report Source Type: research