采用基于体素的度中心度（DC）方法探讨服用抗精神病药物的精神分裂症（SCH）患者脑功能网络的变化特点。通过对 41 例 SCH（病例组）与 41 名年龄、性别相匹配的健康志愿者（健康对照组）进行静息态功能磁共振成像（rfMRI），采用基于体素的 DC 方法分析 rfMRI 数据，采用 t 检验比较组间差异，并计算病例组与健康对照组差异脑区的 DC 值与临床症状和病程的相关性。结果显示，与健康对照组比较，SCH 组初级感知运动网络的相关脑区的 DC 值显著降低（P < 0.05），而执行控制网络的相关脑区 DC 值显著升高（ P < 0.05），并且这些差异脑区的 DC 值与患者的阳性和阴性症状量表（PANSS）评分及病程相关。本研究显示，SCH 患者的初级感知运动网络和执行控制网络的功能整合发生异常改变
References
[1]
2. Fang Xiaojing, Wang Yulin, Cheng Luqi, et al. Prefrontal dysconnectivity links to working memory deficit in first-episode schizophrenia. Brain Imaging Behav, 2017. DOI: 10.1007/s11682-017-9692-0.
[2]
3. Xi Yibin, Li Chen, Cui Longbiao, et al. Anterior cingulate cortico-hippocampal dysconnectivity in unaffected relatives of schizophrenia patients: a stochastic dynamic causal modeling study. Front Hum Neurosci, 2016, 10: 383.
[3]
4. Wang Jicai, Cao Hongbao, Liao Yanhui, et al. Three dysconnectivity patterns in treatment-resistant schizophrenia patients and their unaffected siblings. Neuroimage Clin, 2015, 8(8): 95-103.
[4]
5. Pankow A, Deserno L, Walter M, et al. Reduced default mode network connectivity in schizophrenia patients. Schizophr Res, 2015, 165(1): 90-93.
[5]
6. Zuo X N, Ehmke R, Mennes M, et al. Network centrality in the human functional connectome. Cereb Cortex, 2012, 22(8): 1862-1875.
[6]
7. Zhang Delong, Liu Xian, Chen Jun, et al. Widespread increase of functional connectivity in Parkinson’s disease with tremor: a resting-state FMRI study. Front Aging Neurosci, 2015, 7: 6.
[7]
8. Keedy S K, Reilly J L, Bishop J R, et al. Impact of antipsychotic treatment on attention and motor learning systems in first-episode schizophrenia. Schizophr Bull, 2015, 41(2): 355-365.
[8]
9. Woodward N D, Karbasforoushan H, Heckers S. Thalamocortical dysconnectivity in schizophrenia. Am J Psychiatry, 2012, 169(10): 1092-1099.
[9]
1. Li Mingli, Deng Wei, He Zongling, et al. A splitting brain: Imbalanced neural networks in schizophrenia. Psychiatry Res, 2015, 232(2): 145-153.
