Hemodynamic brain-computer interfaces for communication and rehabilitation

Hemodynamic brain-computer interfaces for communication and rehabilitation
复制标题

DOI:
10.1016/j.neunet.2009.05.009
复制
发表时间:
2009-11-01
期刊:
影响因子:
7.8
通讯作者:
Birbaumer, Niels
Birbaumer, Niels
中科院分区:
计算机科学1区
文献类型:
--
作者:
Sitaram, Ranganatha;Caria, Andrea;Birbaumer, Niels

文献摘要

被引文献

相似文献

功能性近红外光谱(NIRS)和功能性磁共振成像(fMRI)是从大脑获取血流动力学信号的非侵入性方法,其主要优势是信号具有解剖学特异性。最近,出现了大量使用NIRS和fMRI的研究,用于实现脑 - 机接口(BCI),获取、解码和调节大脑中的血流动力学信号,并研究它们的行为后果。NIRS和fMRI都依赖于对任务诱发的血氧水平依赖响应的测量。在这篇综述中,我们考虑了基于NIRS和基于fMRI的脑 - 机接口的基本原理、近期发展、应用以及未来的方向和挑战。© 2009爱思唯尔有限公司。保留所有权利。
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 (C) 2009 Elsevier Ltd All rights reserved.