Literature DB >> 19168334

Neuroanatomical differences between familial and sporadic schizophrenia and their parents: an optimized voxel-based morphometry study.

Su Lui1, Wei Deng, Xiaoqi Huang, Lijun Jiang, Luo Ouyang, Stefan J Borgwardt, Xiaohong Ma, Dongming Li, Ling Zou, Hehan Tang, Huafu Chen, Tao Li, Philip McGuire, Qiyong Gong.   

Abstract

Symptomatic differences have been reported between patients with familial and sporadic schizophrenia. The present study examined neuroanatomical differences between the two subgroups and their parents using voxel-based morphometry. High-resolution T1-weighted images were obtained using 3 Tesla magnetic resonance imaging from 20 patients with schizophrenia (familial subgroup, n=10; sporadic subgroup, n=10), 20 of their parents (familial subgroup, n=10; sporadic subgroup, n=10) and 20 healthy volunteers. Gray matter density (GMD) was compared between groups on a voxel-by-voxel basis. Compared with the sporadic patients, the familial patients had significantly reduced GMD in the thalamus bilaterally. Reduction of GMD in bilateral thalami was also found in familial parents in comparison with sporadic parents. Compared with controls, both familial and sporadic patients had lower GMD involving bilateral insula, right temporal lobe, right occipital lobe, left lenticular nucleus and right cerebellum. However, only familial patients showed lower GMD than controls in the right thalamus. Compared with controls, only familial parents showed lower GMD in the right insula extending to the right temporal lobe and the right parietal lobule. The present data suggest that familial schizophrenia is associated with more severe structural abnormalities than sporadic schizophrenia, especially in the thalamus.

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Year:  2009        PMID: 19168334     DOI: 10.1016/j.pscychresns.2008.02.004

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  18 in total

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10.  Computational morphometry for detecting changes in brain structure due to development, aging, learning, disease and evolution.

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