稳态视觉诱发电位中的互调频率成分:产生、特征和应用。

IF 4.7 2区 医学 Q1 NEUROIMAGING
Yuzhen Chen, Jiawen Bai, Nanlin Shi, Yunpeng Jiang, Xiaogang Chen, Yixuan Ku, Xiaorong Gao
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引用次数: 0

摘要

双频或多频刺激诱发的稳态视觉诱发电位(SSVEPs)可能包含互调频率成分(IMs)。视觉 IMs 是神经信号非线性整合的产物,可由各种诱导神经交互的范式诱发。IMs 在认知心理学、临床神经科学、脑机接口等领域表现出许多有趣而重要的特性,具有巨大的研究潜力。在本文中,我们首先回顾了 IM 的定义,总结了能够诱导 IM 的刺激范式,以及 IM 可能的神经起源。随后,我们介绍了以往研究中 IMs 的特点和衍生应用,并介绍了三种研究人员青睐的信号处理方法,以提高 IMs 的信噪比。最后,我们总结了 IMs 的特点,并提出了与 IMs 相关的几个潜在的未来研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intermodulation Frequency Components in Steady-State Visual Evoked Potentials: Generation, Characteristics and Applications.

The steady-state visual evoked potentials (SSVEPs), evoked by dual-frequency or multi-frequency stimulation, likely contains intermodulation frequency components (IMs). Visual IMs are products of nonlinear integration of neural signals and can be evoked by various paradigms that induce neural interaction. IMs have demonstrated many interesting and important characteristics in cognitive psychology, clinical neuroscience, brain-computer interface and other fields, and possess substantial research potential. In this paper, we first review the definition of IMs and summarize the stimulation paradigms capable of inducing them, along with the possible neural origins of IMs. Subsequently, we describe the characteristics and derived applications of IMs in previous studies, and then introduced three signal processing methods favored by researchers to enhance the signal-to-noise ratio of IMs. Finally, we summarize the characteristics of IMs, and propose several potential future research directions related to IMs.

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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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