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A joint time-frequency analysis of resting-state functional connectivity reveals novel patterns of connectivity shared between or unique to schizophrenia patients and healthy controls.静息态功能连接的联合时频分析揭示了精神分裂症患者和健康对照组之间共享或独特的连接新模式。
Neuroimage Clin. 2017 Jun 17;15:761-768. doi: 10.1016/j.nicl.2017.06.023. eCollection 2017.

本文引用的文献

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Higher Dimensional Meta-State Analysis Reveals Reduced Resting fMRI Connectivity Dynamism in Schizophrenia Patients.高维元状态分析揭示精神分裂症患者静息态功能磁共振成像连接动态性降低。
PLoS One. 2016 Mar 16;11(3):e0149849. doi: 10.1371/journal.pone.0149849. eCollection 2016.
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Basin stability for burst synchronization in small-world networks of chaotic slow-fast oscillators.混沌快慢振荡器小世界网络中猝发同步的盆地稳定性。
Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Oct;92(4):042803. doi: 10.1103/PhysRevE.92.042803. Epub 2015 Oct 6.
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Dynamic coherence analysis of resting fMRI data to jointly capture state-based phase, frequency, and time-domain information.静息态功能磁共振成像数据的动态相干分析,以联合捕捉基于状态的相位、频率和时域信息。
Neuroimage. 2015 Oct 15;120:133-42. doi: 10.1016/j.neuroimage.2015.07.002. Epub 2015 Jul 8.
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Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects.静息态 fMRI 估计的动态连接状态可识别精神分裂症、双相情感障碍和健康对照受试者之间的差异。
Front Hum Neurosci. 2014 Nov 7;8:897. doi: 10.3389/fnhum.2014.00897. eCollection 2014.
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Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia.动态功能连接分析揭示精神分裂症中连接中断的瞬态状态。
Neuroimage Clin. 2014 Jul 24;5:298-308. doi: 10.1016/j.nicl.2014.07.003. eCollection 2014.
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Brain networks in schizophrenia.精神分裂症的脑网络。
Neuropsychol Rev. 2014 Mar;24(1):32-48. doi: 10.1007/s11065-014-9248-7. Epub 2014 Feb 6.
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Intra- and inter-frequency brain network structure in health and schizophrenia.健康人群和精神分裂症患者的脑内和脑区间频率网络结构
PLoS One. 2013 Aug 26;8(8):e72351. doi: 10.1371/journal.pone.0072351. eCollection 2013.
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Thalamocortical dysconnectivity in schizophrenia.精神分裂症的丘脑-皮质连接障碍。
Am J Psychiatry. 2012 Oct;169(10):1092-9. doi: 10.1176/appi.ajp.2012.12010056.
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Schizophrenia, neuroimaging and connectomics.精神分裂症、神经影像学和连接组学。
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10
Exploring the psychosis functional connectome: aberrant intrinsic networks in schizophrenia and bipolar disorder.探索精神病性障碍的功能连接组:精神分裂症和双相情感障碍中异常的内在网络。
Front Psychiatry. 2012 Jan 10;2:75. doi: 10.3389/fpsyt.2011.00075. eCollection 2011.

交叉频率静息态功能磁共振成像网络连接模式在精神分裂症患者和健康对照中表现不同。

Cross-Frequency rs-fMRI Network Connectivity Patterns Manifest Differently for Schizophrenia Patients and Healthy Controls.

作者信息

Miller Robyn L, Yaesoubi Maziar, Calhoun Vince D

机构信息

The Mind Research Network in Albuquerque, New Mexico, USA.

The Mind Research Network and with The Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico, USA.

出版信息

IEEE Signal Process Lett. 2016 Aug;23(8):1076-1080. doi: 10.1109/LSP.2016.2585182.

DOI:10.1109/LSP.2016.2585182
PMID:28018124
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5175483/
Abstract

Patterns of resting state fMRI functional network connectivity in schizophrenia patients have been shown to differ markedly from that of healthy controls. While some studies have explored connectivity within fixed frequency bands, the question of network phase synchrony across disparate frequency bands, or , has remained surprisingly underexplored. Computational modeling at the neuronal scale however has long acknowledged the existence of coupled fast and slow subsystems. Here we present preliminary evidence that cross-frequency coupling exists at the network level, that it patterns in meaningful ways over functional domains, and that this patterning differs between the healthy population and individuals with diagnosed schizophrenia.

摘要

精神分裂症患者静息态功能磁共振成像功能网络连接模式已被证明与健康对照组有显著差异。虽然一些研究探索了固定频段内的连接性,但不同频段间网络相位同步的问题,即,却仍令人惊讶地未得到充分研究。然而,神经元尺度的计算建模早就承认存在耦合的快慢子系统。在此,我们提供初步证据表明跨频率耦合存在于网络层面,它以有意义的方式在功能域上形成模式,且这种模式在健康人群和被诊断为精神分裂症的个体之间存在差异。