Effective connectivity within a triple network brain system discriminates schizophrenia spectrum disorders from psychotic bipolar disorder at the single-subject level

• Published in: Schizophrenia research Vol. 214; pp. 24 - 33
• Main Authors: Palaniyappan, Lena, Deshpande, Gopikrishna, Lanka, Pradyumna, Rangaprakash, D., Iwabuchi, Sarina, Francis, Susan, Liddle, Peter F.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.12.2019
• Subjects: Adult; Bipolar Disorder - diagnostic imaging; Bipolar Disorder - physiopathology; Brain - diagnostic imaging; Brain - physiopathology; Brain Mapping - methods; Diagnosis, Differential; Effective connectivity; Female; Granger causality; Humans; Magnetic Resonance Imaging; Male; Neural Pathways - diagnostic imaging; Neural Pathways - physiopathology; Pattern classification; Pattern Recognition, Automated - methods; Psychiatric/Mental Health; Psychosis; Psychotic Disorders - diagnostic imaging; Psychotic Disorders - physiopathology; Rest; Schizophrenia - diagnostic imaging; Schizophrenia - physiopathology; Support Vector Machine; Psychosis; Support vector machine; Pattern classification; Granger causality; Effective connectivity

Schizophrenia spectrum disorders (SSD) and psychotic bipolar disorder share a number of genetic and neurobiological features, despite a divergence in clinical course and outcome trajectories. We studied the diagnostic classification potential that can be achieved on the basis of the structure and co...