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.
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.
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。
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