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Abstract
Cognitive heterogeneity has been a key barrier to clarifying the neuropathologic underpinnings of schizophrenia. We used an idiographic method for cluster analysis of neuropsychological data from 144 middle-aged and older people with schizophrenia to characterize and group the patterns of relative (within-person) profiles of cognitive strength and weakness. Results indicated a 5-cluster solution as most appropriate, with relatively even distribution across the 5 clusters in terms of the proportion of patients in each cluster. Cognitive subtyping may be useful in imaging and genetic research on schizophrenia, as well as having practical utility in treatment planning and cognitive rehabilitation.
Acknowledgments
The authors would like to acknowledge the funding support of the National Institute of Mental Health (NIMH 64722, T32 MH019934, and P30 NH080002). The authors would like to acknowledge the additional support of the Advanced Center for Innovation in Services and Interventions Research, and the Department of Veterans Affairs. They also express their gratitude to Ian Fellows, Shahrokh Golshan, and Rebecca E. Daly for their assistance with data management and statistical analyses.
