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用于交流和康复的血流动力学生物反馈脑机接口

Hemodynamic brain-computer interfaces for communication and rehabilitation.

机构信息

Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Gartenstr. 29, 72074 Tübingen, Germany.

出版信息

Neural Netw. 2009 Nov;22(9):1320-8. doi: 10.1016/j.neunet.2009.05.009. Epub 2009 May 24.

Abstract

Functional near-infrared spectroscopy (NIRS) and functional magnetic resonance imaging (fMRI) are non-invasive methods for acquiring hemodynamic signals from the brain with the primary benefit of anatomical specificity of signals. Recently, there has been a surge of studies with NIRS and fMRI for the implementation of a brain-computer interface (BCI), for the acquisition, decoding and regulation of hemodynamic signals in the brain, and to investigate their behavioural consequences. Both NIRS and fMRI rely on the measurement of the task-induced blood oxygen level-dependent response. In this review, we consider fundamental principles, recent developments, applications and future directions and challenges of NIRS-based and fMRI-based BCIs.

摘要

功能近红外光谱(NIRS)和功能磁共振成像(fMRI)是从大脑获取血液动力学信号的非侵入性方法,其主要优点是信号具有解剖特异性。最近,有大量使用 NIRS 和 fMRI 的研究用于实现脑机接口(BCI),用于获取、解码和调节大脑中的血液动力学信号,并研究其行为后果。NIRS 和 fMRI 都依赖于测量任务诱发的血氧水平依赖反应。在这篇综述中,我们考虑了基于 NIRS 和 fMRI 的 BCI 的基本原理、最新进展、应用以及未来的方向和挑战。

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