Liu Meijie, Zeng Ling-Li, Shen Hui, Liu Zhening, Hu Dewen
College of Mechatronics and Automation, National University of Defense Technology, Changsha, Hunan, People's Republic of China.
Neuroreport. 2012 Mar 28;23(5):265-9. doi: 10.1097/WNR.0b013e32834f60a5.
Recent resting-state functional connectivity MRI studies using group-level statistical analysis have demonstrated the inheritable characters of schizophrenia. The objective of the present study was to use pattern classification as a means to investigate schizophrenia inheritance based on the whole-brain resting-state functional connectivity at the individual subject level. One-against-one pattern classifications were made amongst three groups (i.e. patients diagnosed with schizophrenia, healthy siblings, and healthy controls after preprocessing), resulting in an 80.4% separation between patients with schizophrenia and healthy controls, a 77.6% separation between schizophrenia patients and their healthy siblings, and a 78.7% separation between healthy siblings and healthy controls, respectively. These results suggest that the healthy siblings of schizophrenia patients have an altered resting-state functional connectivity pattern compared with healthy controls. Thus, healthy siblings may have a potential higher risk for developing schizophrenia compared with the general population. Moreover, this pattern differed from that of schizophrenia patients and may contribute to the normal behavior exhibition of healthy siblings in daily life.
最近使用组水平统计分析的静息态功能连接磁共振成像研究已经证明了精神分裂症的遗传特征。本研究的目的是使用模式分类作为一种手段，基于个体受试者水平的全脑静息态功能连接来研究精神分裂症的遗传。在三组（即预处理后的精神分裂症患者、健康同胞和健康对照）之间进行一对一模式分类，结果显示精神分裂症患者与健康对照之间的分离率为80.4%，精神分裂症患者与其健康同胞之间的分离率为77.6%，健康同胞与健康对照之间的分离率为78.7%。这些结果表明，与健康对照相比，精神分裂症患者的健康同胞具有改变的静息态功能连接模式。因此，与一般人群相比，健康同胞患精神分裂症的潜在风险可能更高。此外，这种模式与精神分裂症患者的模式不同，可能有助于健康同胞在日常生活中表现出正常行为。
