Brain structure and function correlates of cognitive subtypes in schizophrenia. Issue 1 (30th October 2015)

• Record Type: Journal Article
• Authors: Geisler, Daniel; Walton, Esther; Naylor, Melissa; Roessner, Veit; Lim, Kelvin O.; Charles Schulz, S.; Gollub, Randy L; Calhoun, Vince D; Sponheim, Scott R.; Ehrlich, Stefan
• Is Part Of: Psychiatry research. Volume 234:Issue 1(2015)
• Page Start: 74
• Page End: 83
• Publication Date: 2015-10-30
• Subjects: Neuropsychological performance -- Cluster analysis -- Neural correlates -- Cortical thickness -- Subcortical volume -- Working memory -- Schizophrenia -- Cognitive subtypes; Psychiatry -- Periodicals; Brain -- Imaging -- Periodicals; Psychiatry -- Periodicals; Diagnostic Imaging -- Periodicals; Psychiatrie -- Périodiques; Cerveau -- Imagerie pour le diagnostic -- Périodiques; 616.890754
• DOI: 10.1016/j.pscychresns.2015.08.008
• Languages: English
• ISSNs: 0925-4927

Abstract

Abstract: Stable neuropsychological deficits may provide a reliable basis for identifying etiological subtypes of schizophrenia. The aim of this study was to identify clusters of individuals with schizophrenia based on dimensions of neuropsychological performance, and to characterize their neural correlates. We acquired neuropsychological data as well as structural and functional magnetic resonance imaging from 129 patients with schizophrenia and 165 healthy controls. We derived eight cognitive dimensions and subsequently applied a cluster analysis to identify possible schizophrenia subtypes. Analyses suggested the following four cognitive clusters of schizophrenia: (1) Diminished Verbal Fluency, (2) Diminished Verbal Memory and Poor Motor Control, (3) Diminished Face Memory and Slowed Processing, and (4) Diminished Intellectual Function. The clusters were characterized by a specific pattern of structural brain changes in areas such as Wernicke's area, lingual gyrus and occipital face area, and hippocampus as well as differences in working memory-elicited neural activity in several fronto-parietal brain regions. Separable measures of cognitive function appear to provide a method for deriving cognitive subtypes meaningfully related to brain structure and function. Because the present study identified brain-based neural correlates of the cognitive clusters, the proposed groups of individuals with schizophrenia have some external validity. Highlights: Cluster analysis was applied to factorized data of neuropsychological performance. Four schizophrenia clusters based on distinct cognitive profiles were identified. Clusters are characterized by a specific pattern of structural brain changes.