Patterns of deficits in brain function in bipolar disorder and schizophrenia: a cluster analytic study.
Patterns of deficits in brain function in bipolar disorder and schizophrenia: a cluster analytic study.
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DOI：
10.1016/j.psychres.2012.07.052
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发表时间：
2012-12-30
影响因子：
11.3
通讯作者：
Levy DL
中科院分区：
文献类型：
--
作者：
Hall MH;Smoller JW;Cook NR;Schulze K;Hyoun Lee P;Taylor G;Bramon E;Coleman MJ;Murray RM;Salisbury DF;Levy DL
Historically, bipolar disorder and schizophrenia have been considered distinct disorders with different etiologies. Growing evidence suggests that overlapping genetic influences contribute to risk for these disorders and that each disease is genetically heterogeneous. Using cluster analytic methods, we empirically identified homogeneous subgroups of patients, their relatives, and controls based on distinct neurophysiologic profiles. Seven phenotypes were collected from two independent cohorts at two institutions. K-means clustering was used to identify neurophysiologic profiles. In the analysis of all participants, three distinct profiles emerged: “globally impaired”, “sensory processing”, and “high cognitive”. In a secondary analysis, restricted to patients only, we observed a similar clustering into three profiles. The neurophysiological profiles of the SZ and BPD patients did not support the DSM diagnostic distinction between these two disorders. Smokers in the globally impaired group smoked significantly more cigarettes than those in the sensory processing or high cognitive groups. Our results suggest that empirical analyses of neurophysiological phenotypes can identify potentially biologically relevant homogenous subgroups independent of diagnostic boundaries. We hypothesize that each neurophysiology subgroup may share similar genotypic profiles, which may increase statistical power to detect genetic risk factors.
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影响因子：
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作者：
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通讯作者：
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DOI：
10.1002/ajmg.b.30653
发表时间：
2008-07-05
影响因子：
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作者：
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影响因子：
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作者：
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