联轴节(管道)
振幅
干扰(通信)
信号(编程语言)
相(物质)
度量(数据仓库)
振荡(细胞信号)
格兰杰因果关系
时频分析
因果关系(物理学)
瞬时相位
计算机科学
物理
生物系统
光学
化学
机器学习
电信
工程类
数据挖掘
频道(广播)
生物
机械工程
程序设计语言
雷达
量子力学
生物化学
作者
Tamanna T. K. Munia,Selin Aviyente
标识
DOI:10.1109/icassp39728.2021.9414004
摘要
Phase-amplitude coupling (PAC), which quantifies the coupling between the amplitude of a fast oscillation and the phase of a slow oscillation, is reported as a possible mechanism that controls the flow of information in the brain. Although there is ample evidence suggesting that neural interactions are directional, conventional PAC measures mostly quantify the cross-frequency coupling, failing to provide information on the direction of interactions. In this paper, we introduce a Granger causality (GC) based approach to estimate the direction of PAC. This approach infers the directionality of cross-frequency coupling by computing GC between the instantaneous phase and amplitude components extracted from the signal through a complex time-frequency (t-f) distribution, known as the Reduced Interference Distribution (RID)-Rihaczek. The method is evaluated on both simulated and real electroencephalogram (EEG) signals. The results demonstrate that the proposed GC based directional PAC measure can infer the direction of neural interactions across frequency bands.
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