Transdiagnostic Multimodal Neuroimaging in Psychosis: Structural, Resting-State, and Task Magnetic Resonance Imaging Correlates of Cognitive Control

• Published in: Biological psychiatry : cognitive neuroscience and neuroimaging Vol. 4; no. 10; pp. 870 - 880
• Main Authors: Lerman-Sinkoff, Dov B., Kandala, Sridhar, Calhoun, Vince D., Barch, Deanna M., Mamah, Daniel T.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01-10-2019
• Subjects: Bipolar disorder; Cognitive control; mCCA+jICA; Multimodal fusion; Schizophrenia; Transdiagnostic psychosis; Schizophrenia; Bipolar disorder; mCCA+jICA; Multimodal fusion; Cognitive control; Transdiagnostic psychosis
• ISSN: 2451-9022; 2451-9030
• DOI: 10.1016/j.bpsc.2019.05.004

Disorders with psychotic features, including schizophrenia and some bipolar disorders, are associated with impairments in regulation of goal-directed behavior, termed cognitive control. Cognitive control–related neural alterations have been studied in psychosis. However, studies are typically unimodal, and relationships across modalities of brain function and structure remain unclear. Thus, we performed transdiagnostic multimodal analyses to examine cognitive control–related neural variation in psychosis.
Structural, resting, and working memory task imaging for 31 control participants, 27 participants with bipolar disorder, and 23 participants with schizophrenia were collected and processed identically to the Human Connectome Project, enabling identification of relationships with prior multimodal work. Two cognitive control–related independent components (ICs) derived from the Human Connectome Project using multiset canonical correlation analysis with joint IC analysis were used to predict performance in psychosis. De novo multiset canonical correlation analysis with joint IC analysis was performed, and the results were correlated with cognitive control.
A priori working memory and cortical thickness maps significantly predicted cognitive control in psychosis. De novo multiset canonical correlation analysis with joint IC analysis identified an IC correlated with cognitive control that also discriminated groups. Structural contributions included insular and cingulate regions; task contributions included precentral, posterior parietal, cingulate, and visual regions; and resting-state contributions highlighted canonical network organization. Follow-up analyses suggested that correlations with cognitive control were primarily influenced by participants with schizophrenia.
A priori and de novo imaging replicably identified a set of interrelated patterns across modalities and the healthy-to-psychosis spectrum, suggesting robustness of these features. Relationships between imaging and cognitive control performance suggest that shared symptomatology may be key to identifying transdiagnostic relationships in psychosis.