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听觉噪声可提高视觉脑机接口性能：一项跨模态研究

Auditory Noise Leads to Increased Visual Brain-Computer Interface Performance: A Cross-Modal Study.

作者信息

Xie Jun, Cao Guozhi, Xu Guanghua, Fang Peng, Cui Guiling, Xiao Yi, Li Guanglin, Li Min, Xue Tao, Zhang Yanjun, Han Xingliang

机构信息

School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China.

CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology & Shenzhen Engineering Laboratory of Neural Rehabilitation Technology, Shenzhen, China.

出版信息

Front Neurosci. 2020 Dec 22;14:590963. doi: 10.3389/fnins.2020.590963. eCollection 2020.

DOI:10.3389/fnins.2020.590963
PMID:33414701
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7783197/
Abstract

Noise has been proven to have a beneficial role in non-linear systems, including the human brain, based on the stochastic resonance (SR) theory. Several studies have been implemented on single-modal SR. Cross-modal SR phenomenon has been confirmed in different human sensory systems. In our study, a cross-modal SR enhanced brain-computer interface (BCI) was proposed by applying auditory noise to visual stimuli. Fast Fourier transform and canonical correlation analysis methods were used to evaluate the influence of noise, results of which indicated that a moderate amount of auditory noise could enhance periodic components in visual responses. Directed transfer function was applied to investigate the functional connectivity patterns, and the flow gain value was used to measure the degree of activation of specific brain regions in the information transmission process. The results of flow gain maps showed that moderate intensity of auditory noise activated the brain area to a greater extent. Further analysis by weighted phase-lag index (wPLI) revealed that the phase synchronization between visual and auditory regions under auditory noise was significantly enhanced. Our study confirms the existence of cross-modal SR between visual and auditory regions and achieves a higher accuracy for recognition, along with shorter time window length. Such findings can be used to improve the performance of visual BCIs to a certain extent.

摘要

基于随机共振（SR）理论，噪声已被证明在包括人类大脑在内的非线性系统中具有有益作用。已经针对单模态随机共振开展了多项研究。跨模态随机共振现象已在不同的人类感觉系统中得到证实。在我们的研究中，通过将听觉噪声应用于视觉刺激，提出了一种跨模态随机共振增强型脑机接口（BCI）。使用快速傅里叶变换和典型相关分析方法来评估噪声的影响，其结果表明适量的听觉噪声可以增强视觉反应中的周期性成分。应用定向传递函数来研究功能连接模式，并使用流增益值来测量信息传输过程中特定脑区的激活程度。流增益图的结果表明，中等强度的听觉噪声在更大程度上激活了脑区。通过加权相位滞后指数（wPLI）进行的进一步分析表明，在听觉噪声下视觉和听觉区域之间的相位同步显著增强。我们的研究证实了视觉和听觉区域之间存在跨模态随机共振，并在更短的时间窗口长度下实现了更高的识别准确率。这些发现可在一定程度上用于提高视觉脑机接口的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/de9c35698fd1/fnins-14-590963-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/871d666e00a1/fnins-14-590963-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/03a270aa3ddc/fnins-14-590963-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/d591b838f25f/fnins-14-590963-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/b1946767f905/fnins-14-590963-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/8faa52655aa7/fnins-14-590963-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/8a547acbad1f/fnins-14-590963-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/de9c35698fd1/fnins-14-590963-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/871d666e00a1/fnins-14-590963-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/03a270aa3ddc/fnins-14-590963-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/d591b838f25f/fnins-14-590963-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/ac0d0d20c37c/fnins-14-590963-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/a87ff28c697a/fnins-14-590963-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/16210ef01df5/fnins-14-590963-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/b1946767f905/fnins-14-590963-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/8faa52655aa7/fnins-14-590963-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/8a547acbad1f/fnins-14-590963-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e47f/7783197/de9c35698fd1/fnins-14-590963-g010.jpg

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Cross-Modal Stochastic Resonance as a Universal Principle to Enhance Sensory Processing.跨模态随机共振作为增强感官处理的通用原则。
Front Neurosci. 2018 Aug 21;12:578. doi: 10.3389/fnins.2018.00578. eCollection 2018.
3
The Role of Visual Noise in Influencing Mental Load and Fatigue in a Steady-State Motion Visual Evoked Potential-Based Brain-Computer Interface.
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Sensors (Basel). 2017 Aug 14;17(8):1873. doi: 10.3390/s17081873.
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Electro-Tactile Stimulation Enhances Cochlear Implant Speech Recognition in Noise.电触觉刺激可增强人工耳蜗植入患者在噪声环境中的言语识别能力。
Sci Rep. 2017 May 19;7(1):2196. doi: 10.1038/s41598-017-02429-1.
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