Resting-state theta-band connectivity and verbal memory in schizophrenia and in the high-risk state
Resting-state theta-band connectivity and verbal memory in schizophrenia and in the high-risk state
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DOI：
10.1016/j.schres.2014.12.018
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发表时间：
2015-02-01
影响因子：
4.5
通讯作者：
Mulert, Christoph
中科院分区：
文献类型：
--
作者：
Andreou, Christina;Leicht, Gregor;Mulert, Christoph
背景：精神分裂症患者的神经认知功能障碍被认为是神经连接障碍的基础。由于神经认知缺陷已经存在于高风险状态中，识别参与精神分裂症这一核心特征的神经网络对于我们理解这种疾病至关重要。静息状态研究使此类调查成为可能，同时避免了已知的患者任务表现受损的混杂因素。本研究的目的是探讨脑电图静息状态连接在高危人群（HR）相比，首发精神分裂症患者（SZ）和健康对照组（HC），其与认知deficits.Methods：64通道静息状态脑电图记录（闭上眼睛）获得28 HR，19稳定SZ，和23 HC，年龄，教育和父母的教育相匹配。假想的相干性为基础的多变量相互作用的措施（MIM）被用来作为跨80个皮层区域和6个频带的连接性的措施。使用非参数随机化方法比较各组的每个区域的平均连接性。此外，基于网络的统计被应用到识别受影响的networks in patients.Results：SZ显示增加theta波段静息状态MIM连接中线，感觉运动，眶额区和左颞顶交界处。HR显示中间θ带连接模式，没有不同的SZ或HC。平均θ-波段连接在上述网络部分介导的文字记忆缺陷SZ和HR。结论：异常θ-波段连接可能代表精神分裂症与神经认知缺陷相关的一个特征。因此，它可能构成新的治疗应用的一个有前途的目标。(C)2014年爱思唯尔B。V.保留所有权利。
Background: Disturbed functional connectivity is assumed to underlie neurocognitive deficits in patients with schizophrenia. As neurocognitive deficits are already present in the high-risk state, identification of the neural networks involved in this core feature of schizophrenia is essential to our understanding of the disorder. Resting-state studies enable such investigations, while at the same time avoiding the known confounder of impaired task performance in patients. The aim of the present study was to investigate EEG resting-state connectivity in high-risk individuals (HR) compared to first episode patients with schizophrenia (SZ) and to healthy controls (HC), and its association with cognitive deficits.Methods: 64-channel resting-state EEG recordings (eyes closed) were obtained for 28HR, 19 stable SZ, and 23 HC, matched for age, education, and parental education. The imaginary coherence-based multivariate interaction measure (MIM) was used as a measure of connectivity across 80 cortical regions and six frequency bands. Mean connectivity at each region was compared across groups using the non-parametric randomization approach. Additionally, the network-based statistic was applied to identify affected networks in patients.Results: SZ displayed increased theta-band resting-state MIM connectivity across midline, sensorimotor, orbitofrontal regions and the left temporoparietal junction. HR displayed intermediate theta-band connectivity patterns that did not differ from either SZ or HC. Mean theta-band connectivity within the above network partially mediated verbal memory deficits in SZ and HR.Conclusions: Aberrant theta-band connectivity may represent a trait characteristic of schizophrenia associated with neurocognitive deficits. As such, it might constitute a promising target for novel treatment applications. (C) 2014 Elsevier B. V. All rights reserved.