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精神分裂症患者的功能脑连接的时间组织异常,但与症状学无关。

The temporal organization of functional brain connectivity is abnormal in schizophrenia but does not correlate with symptomatology.

机构信息

Department of Anesthesiology, University of Michigan Medical School, 1H247 UH/SPC-5048, 1500 East Medical Center Drive, Ann Arbor, MI 48109-5048, USA.

出版信息

Conscious Cogn. 2011 Dec;20(4):1050-4. doi: 10.1016/j.concog.2010.05.009. Epub 2010 Jun 11.

Abstract

Previous work employing graph theory and nonlinear analysis has found increased spatial and temporal disorder, respectively, of functional brain connectivity in schizophrenia. We present a new method combining graph theory and nonlinear techniques that measures the temporal disorder of functional brain connections. Multichannel electroencephalographic data were windowed and functional networks were reconstructed using the minimum spanning trees of correlation matrices. Using a method based on Shannon entropy, we found elevated connection entropy in gamma activity of patients with schizophrenia; however, gamma connection entropy remained elevated in patients with schizophrenia even after a reduction in symptoms due to treatment with antipsychotics. Our results are consistent with several possibilities: (1) aberrant functional connectivity is epiphenomenal to schizophrenia, (2) aberrant functional connectivity is a central feature but antipsychotics reduce symptoms by an independent mechanism, or (3) connection entropy is not an appropriately sensitive measure of brain abnormalities in schizophrenia.

摘要

先前运用图论和非线性分析的研究发现,精神分裂症患者的功能脑连接在空间和时间上分别存在更大的紊乱。我们提出了一种新的结合图论和非线性技术的方法,来测量功能脑连接的时间紊乱。多通道脑电数据被加窗,使用相关矩阵的最小生成树来重建功能网络。我们使用基于香农熵的方法,发现精神分裂症患者的γ 活动中连接熵升高;然而,即使在抗精神病药物治疗降低症状后,精神分裂症患者的γ 连接熵仍保持升高。我们的结果与几种可能性一致:(1)异常的功能连接是精神分裂症的伴随现象;(2)异常的功能连接是一个核心特征,但抗精神病药物通过独立的机制来减轻症状;(3)连接熵不是精神分裂症中大脑异常的一个敏感测量指标。

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