期刊
JOURNAL OF PSYCHIATRIC RESEARCH
卷 45, 期 7, 页码 980-988出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jpsychires.2011.01.006
关键词
Diffusion tensor imaging; Endophenotypes; Genetic predisposition
类别
资金
- NIMH [MH049716, MH037705, MH066286, MH073990]
- NIH/National Center for Research Resources through Center for Computational Biology (CCB) [P41 RR013642, U54 RR021813]
- Ortho-McNeil Janssen Scientific Affairs
The goals of this study were to first determine whether the fractional anisotropy (FA) and mean diffusivity (MD) of major white matter pathways associate with schizophrenia, and secondly to characterize the extent to which differences in these metrics might reflect a genetic predisposition to schizophrenia. Differences in FA and MD were identified using a comprehensive atlas-based tract mapping approach using diffusion tensor imaging and high-resolution structural data from 35 patients, 28 unaffected first-degree relatives of patients, 29 community controls, and 14 first-degree relatives of controls. Schizophrenia patients had significantly higher MD in the following tracts compared to controls: the right anterior thalamic radiations, the forceps minor, the bilateral inferior fronto-occipital fasciculus (IFO), the temporal component of the left superior longitudinal fasciculus (tSLF), and the bilateral uncinate. FA showed schizophrenia effects and a linear relationship to genetic liability (represented by schizophrenia patients, first-degree relatives, and controls) for the bilateral IFO, the left inferior longitudinal fasciculus (ILF), and the left tSLF. Diffusion tensor imaging studies have previously identified white matter abnormalities in all three of these tracts in schizophrenia; however, this study is the first to identify a significant genetic liability. Thus. FA of these three tracts may serve as biomarkers for studies seeking to identify how genes influence brain structure predisposing to schizophrenia. However, differences in FA and MD in frontal and temporal white matter pathways may be additionally driven by state variables that involve processes associated with the disease. (C) 2011 Elsevier Ltd. All rights reserved.
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