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Brain functional networks extraction based on fMRI artifact removal: Single subject and group approaches.基于功能磁共振成像伪影去除的脑功能网络提取:单受试者和组水平方法
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:1026-9. doi: 10.1109/EMBC.2014.6943768.
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Functional connectivity-based signatures of schizophrenia revealed by multiclass pattern analysis of resting-state fMRI from schizophrenic patients and their healthy siblings.基于功能连接的精神分裂症多类模式分析揭示精神分裂症患者及其健康兄弟姐妹静息态 fMRI 的特征。
Biomed Eng Online. 2013 Feb 7;12:10. doi: 10.1186/1475-925X-12-10.
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Multisubject independent component analysis of fMRI: a decade of intrinsic networks, default mode, and neurodiagnostic discovery.多体素独立成分分析 fMRI:内在网络、默认模式和神经诊断发现的十年。
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Tracking whole-brain connectivity dynamics in the resting state.在静息状态下追踪全脑连接动力学。
Cereb Cortex. 2014 Mar;24(3):663-76. doi: 10.1093/cercor/bhs352. Epub 2012 Nov 11.
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Temporal lobe volume abnormalities precede the prodrome: a study of children presenting antecedents of schizophrenia.颞叶体积异常先于前驱期:一项研究儿童出现精神分裂症前驱期的研究。
Schizophr Bull. 2013 Nov;39(6):1318-27. doi: 10.1093/schbul/sbs128. Epub 2012 Nov 7.
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Thalamocortical dysconnectivity in schizophrenia.精神分裂症的丘脑-皮质连接障碍。
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Functional network connectivity during rest and task conditions: a comparative study.静息态和任务态下的功能网络连接:一项对比研究。
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Working memory related brain network connectivity in individuals with schizophrenia and their siblings.精神分裂症患者及其亲属中与工作记忆相关的脑网络连通性
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Functional imaging of the hemodynamic sensory gating response in schizophrenia.精神分裂症血流动力学感觉门控反应的功能成像。
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Differences in resting-state functional magnetic resonance imaging functional network connectivity between schizophrenia and psychotic bipolar probands and their unaffected first-degree relatives.精神分裂症和有精神病性症状的双相障碍先证者及其未受影响的一级亲属静息态功能磁共振成像功能网络连接的差异。
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精神分裂症患者在静息状态和跨感觉范式下丘脑和后颞叶的网络间连接性更强。

Thalamus and posterior temporal lobe show greater inter-network connectivity at rest and across sensory paradigms in schizophrenia.

机构信息

Computer Science Department, University of New Mexico, Albuquerque, NM 87131, United States.

Mathematics Department, University of New Mexico, Albuquerque, NM 87131, United States.

出版信息

Neuroimage. 2014 Aug 15;97:117-26. doi: 10.1016/j.neuroimage.2014.04.009. Epub 2014 Apr 13.

DOI:10.1016/j.neuroimage.2014.04.009
PMID:24736181
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4087193/
Abstract

Although a number of recent studies have examined functional connectivity at rest, few have assessed differences between connectivity both during rest and across active task paradigms. Therefore, the question of whether cortical connectivity patterns remain stable or change with task engagement continues to be unaddressed. We collected multi-scan fMRI data on healthy controls (N=53) and schizophrenia patients (N=42) during rest and across paradigms arranged hierarchically by sensory load. We measured functional network connectivity among 45 non-artifactual distinct brain networks. Then, we applied a novel analysis to assess cross paradigm connectivity patterns applied to healthy controls and patients with schizophrenia. To detect these patterns, we fit a group by task full factorial ANOVA model to the group average functional network connectivity values. Our approach identified both stable (static effects) and state-based differences (dynamic effects) in brain connectivity providing a better understanding of how individuals' reactions to simple sensory stimuli are conditioned by the context within which they are presented. Our findings suggest that not all group differences observed during rest are detectable in other cognitive states. In addition, the stable differences of heightened connectivity between multiple brain areas with thalamus across tasks underscore the importance of the thalamus as a gateway to sensory input and provide new insight into schizophrenia.

摘要

尽管最近有许多研究考察了静息状态下的功能连接,但很少有研究评估静息状态下和主动任务范式之间的连接差异。因此,皮质连接模式是否保持稳定或随着任务参与而变化的问题仍然没有得到解决。我们在静息状态和以感觉负荷分级排列的范式下收集了健康对照组(N=53)和精神分裂症患者(N=42)的多扫描 fMRI 数据。我们测量了 45 个非人为差异的不同脑网络之间的功能网络连接。然后,我们应用了一种新的分析方法来评估健康对照组和精神分裂症患者的跨范式连接模式。为了检测这些模式,我们将组间任务全因子方差分析模型拟合到组平均功能网络连接值中。我们的方法确定了大脑连接中的稳定(静态效应)和基于状态的差异(动态效应),从而更好地理解了个体对简单感觉刺激的反应如何受到呈现它们的背景的影响。我们的研究结果表明,并非所有在静息状态下观察到的组间差异都能在其他认知状态下检测到。此外,多个大脑区域与丘脑之间连接的增强在任务之间存在稳定差异,这突出了丘脑作为感觉输入门户的重要性,并为精神分裂症提供了新的见解。