Cortical functional network organization from autoregressive modeling of local field potential oscillations
Cortical functional network organization from autoregressive modeling of local field potential oscillations
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DOI：
10.1002/sim.2935
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发表时间：
2007-09-20
影响因子：
2
通讯作者：
Ding, Mingzhou
中科院分区：
文献类型：
--
作者：
Bressler, Steven L.;Richter, Craig G.;Ding, Mingzhou
提出了一种基于自回归模型的频谱分析方法来量化大脑中的功能网络组织的框架。局部场电位（LFPs），同时记录从分布在大脑皮层的猴子，被视为信号产生的局部神经元组件。在视觉模式辨别任务的延迟期间，振荡组装活动在β频率范围（14-30 Hz）的LFP中表现出来。相干分析表明，这些振荡的相位同步的功能网络中的感觉运动皮层的关系，以维持对侧的手的位置，并在视觉皮层中的预期的视觉刺激。格兰杰因果关系分析揭示了感觉运动网络中的信息流与外周感觉运动反馈回路一致，视觉网络中的信息流与初级视觉皮层中自上而下的预期调制一致。版权所有（c）2007约翰威利父子有限公司。
A framework is presented for quantifying functional network organization in the brain by spectral analysis based on autoregressive modeling. Local field potentials (LFPs), simultaneously recorded from distributed sites in the cerebral cortex of monkeys, are treated as signals generated by local neuronal assemblies. During the delay period of a visual pattern discrimination task, oscillatory assembly activity is manifested in the LFPs in the beta-frequency range (14-30 Hz). Coherence analysis has shown that these oscillations are phase synchronized in functional networks in the sensorimotor cortex in relation to maintenance of contralateral hand position, and in the visual cortex in relation to anticipation of the visual stimulus. Granger causality analysis has revealed information flow in the sensorimotor network that is consistent with a peripheral sensorimotor feedback loop, and in the visual network that is consistent with top-down anticipatory modulation of assemblies in the primary visual cortex. Copyright (c) 2007 John Wiley & Sons, Ltd.