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Hybrid ICA-Bayesian network approach reveals distinct effective connectivity differences in schizophrenia.混合独立成分分析-贝叶斯网络方法揭示了精神分裂症中不同的有效连接差异。
Neuroimage. 2008 Oct 1;42(4):1560-8. doi: 10.1016/j.neuroimage.2008.05.065. Epub 2008 Jun 17.
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Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks.使用独立成分分析(ICA)在静息状态和认知任务期间对时间相干脑网络进行调制。
Hum Brain Mapp. 2008 Jul;29(7):828-38. doi: 10.1002/hbm.20581.
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The brain's default network: anatomy, function, and relevance to disease.大脑的默认网络:解剖结构、功能及其与疾病的关联
Ann N Y Acad Sci. 2008 Mar;1124:1-38. doi: 10.1196/annals.1440.011.
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Effective and structural connectivity in the human auditory cortex.人类听觉皮层中的有效连接和结构连接
J Neurosci. 2008 Mar 26;28(13):3341-9. doi: 10.1523/JNEUROSCI.4434-07.2008.
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A method for functional network connectivity among spatially independent resting-state components in schizophrenia.一种用于研究精神分裂症中空间独立静息态成分之间功能网络连通性的方法。
Neuroimage. 2008 Feb 15;39(4):1666-81. doi: 10.1016/j.neuroimage.2007.11.001. Epub 2007 Nov 13.
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Test-retest and between-site reliability in a multicenter fMRI study.一项多中心功能磁共振成像研究中的重测信度和不同站点间的信度
Hum Brain Mapp. 2008 Aug;29(8):958-72. doi: 10.1002/hbm.20440.
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Brain network for passive word listening as evaluated with ICA and Granger causality.用独立成分分析(ICA)和格兰杰因果关系评估的被动听词脑网络。
Brain Res Bull. 2007 May 30;72(4-6):284-92. doi: 10.1016/j.brainresbull.2007.01.008. Epub 2007 Jan 30.
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Aberrant "default mode" functional connectivity in schizophrenia.精神分裂症中异常的“默认模式”功能连接
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Estimating the number of independent components for functional magnetic resonance imaging data.估计功能磁共振成像数据的独立成分数量。
Hum Brain Mapp. 2007 Nov;28(11):1251-66. doi: 10.1002/hbm.20359.
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Neurobiology of schizophrenia.精神分裂症的神经生物学
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精神分裂症的听觉失匹配负波缺陷:功能磁共振成像多站点功能BIRN研究的独立成分分析

Auditory oddball deficits in schizophrenia: an independent component analysis of the fMRI multisite function BIRN study.

作者信息

Kim Dae Il, Mathalon D H, Ford J M, Mannell M, Turner J A, Brown G G, Belger A, Gollub R, Lauriello J, Wible C, O'Leary D, Lim K, Toga A, Potkin S G, Birn F, Calhoun V D

机构信息

The Mind Research Network Institute, Albuquerque, NM 87131, USA.

出版信息

Schizophr Bull. 2009 Jan;35(1):67-81. doi: 10.1093/schbul/sbn133.

DOI:10.1093/schbul/sbn133
PMID:19074498
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2643962/
Abstract

Deficits in the connectivity between brain regions have been suggested to play a major role in the pathophysiology of schizophrenia. A functional magnetic resonance imaging (fMRI) analysis of schizophrenia was implemented using independent component analysis (ICA) to identify multiple temporally cohesive, spatially distributed regions of brain activity that represent functionally connected networks. We hypothesized that functional connectivity differences would be seen in auditory networks comprised of regions such as superior temporal gyrus as well as executive networks that consisted of frontal-parietal areas. Eight networks were found to be implicated in schizophrenia during the auditory oddball paradigm. These included a bilateral temporal network containing the superior and middle temporal gyrus; a default-mode network comprised of the posterior cingulate, precuneus, and middle frontal gyrus; and multiple dorsal lateral prefrontal cortex networks that constituted various levels of between-group differences. Highly task-related sensory networks were also found. These results indicate that patients with schizophrenia show functional connectivity differences in networks related to auditory processing, executive control, and baseline functional activity. Overall, these findings support the idea that the cognitive deficits associated with schizophrenia are widespread and that a functional connectivity approach can help elucidate the neural correlates of this disorder.

摘要

脑区之间连接性的缺陷被认为在精神分裂症的病理生理学中起主要作用。利用独立成分分析(ICA)对精神分裂症进行了功能磁共振成像(fMRI)分析,以识别多个时间上连贯、空间上分布的脑活动区域,这些区域代表功能连接网络。我们假设在由颞上回等区域组成的听觉网络以及由额顶叶区域组成的执行网络中会出现功能连接差异。在听觉失匹配范式期间,发现八个网络与精神分裂症有关。其中包括一个包含颞上回和颞中回的双侧颞叶网络;一个由后扣带回、楔前叶和额中回组成的默认模式网络;以及多个构成不同组间差异水平的背外侧前额叶皮质网络。还发现了与任务高度相关的感觉网络。这些结果表明,精神分裂症患者在与听觉处理、执行控制和基线功能活动相关的网络中表现出功能连接差异。总体而言,这些发现支持这样一种观点,即与精神分裂症相关的认知缺陷是广泛存在的,并且功能连接方法有助于阐明这种疾病的神经相关性。