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迈向基于P300的脑机接口用于中风后失语症康复:理论思考与初步可行性研究介绍

Toward a P300 Based Brain-Computer Interface for Aphasia Rehabilitation after Stroke: Presentation of Theoretical Considerations and a Pilot Feasibility Study.

作者信息

Kleih Sonja C, Gottschalt Lea, Teichlein Eva, Weilbach Franz X

机构信息

Institute of Psychology, University of Würzburg Würzburg, Germany.

Department of Neurology, Klinik Bavaria Bad Kissingen Bad Kissingen, Germany.

出版信息

Front Hum Neurosci. 2016 Nov 11;10:547. doi: 10.3389/fnhum.2016.00547. eCollection 2016.

DOI:10.3389/fnhum.2016.00547
PMID:27891083
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5104740/
Abstract

People with post-stroke motor aphasia know what they would like to say but cannot express it through motor pathways due to disruption of cortical circuits. We present a theoretical background for our hypothesized connection between attention and aphasia rehabilitation and suggest why in this context, Brain-Computer Interface (BCI) use might be beneficial for patients diagnosed with aphasia. Not only could BCI technology provide a communication tool, it might support neuronal plasticity by activating language circuits and thereby boost aphasia recovery. However, stroke may lead to heterogeneous symptoms that might hinder BCI use, which is why the feasibility of this approach needs to be investigated first. In this pilot study, we included five participants diagnosed with post-stroke aphasia. Four participants were initially unable to use the visual P300 speller paradigm. By adjusting the paradigm to their needs, participants could successfully learn to use the speller for communication with accuracies up to 100%. We describe necessary adjustments to the paradigm and present future steps to investigate further this approach.

摘要

中风后运动性失语症患者知道自己想说什么,但由于皮质回路中断,无法通过运动通路表达出来。我们为我们假设的注意力与失语症康复之间的联系提供了理论背景,并说明了为什么在这种情况下,脑机接口(BCI)的使用可能对被诊断为失语症的患者有益。BCI技术不仅可以提供一种交流工具,还可能通过激活语言回路来支持神经元可塑性,从而促进失语症的恢复。然而,中风可能导致多种不同的症状,这些症状可能会阻碍BCI的使用,这就是为什么需要首先研究这种方法的可行性。在这项初步研究中,我们纳入了五名被诊断为中风后失语症的参与者。四名参与者最初无法使用视觉P300拼写范式。通过根据他们的需求调整范式,参与者能够成功学会使用拼写器进行交流,准确率高达100%。我们描述了对范式的必要调整,并提出了进一步研究这种方法的未来步骤。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/936d/5104740/0b0942cdee64/fnhum-10-00547-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/936d/5104740/72f0643975c5/fnhum-10-00547-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/936d/5104740/5717e96888a5/fnhum-10-00547-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/936d/5104740/0b0942cdee64/fnhum-10-00547-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/936d/5104740/72f0643975c5/fnhum-10-00547-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/936d/5104740/5717e96888a5/fnhum-10-00547-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/936d/5104740/0b0942cdee64/fnhum-10-00547-g0003.jpg

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