speeded near infrared spectroscopy (nirs) response detection加速近红外光谱(nirs)反应检测.pdfVIP

Speeded Near Infrared Spectroscopy (NIRS) Response Detection Xu Cui1,2*, Signe Bray1,2, Allan L. Reiss1,2 1 Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, California, United States of America, 2 Center for Interdisciplinary Brain Sciences Research, Stanford University, Stanford, California, United States of America Abstract The hemodynamic response measured by Near Infrared Spectroscopy (NIRS) is temporally delayed from the onset of the underlying neural activity. As a consequence, NIRS based brain-computer-interfaces (BCIs) and neurofeedback learning systems, may have a latency of several seconds in responding to a change in participants’ behavioral or mental states, severely limiting the practical use of such systems. To explore the possibility of reducing this delay, we used a multivariate pattern classification technique (linear support vector machine, SVM) to decode the true behavioral state from the measured neural signal and systematically evaluated the performance of different feature spaces (signal history, history gradient, oxygenated or deoxygenated hemoglobin signal and spatial pattern). We found that the latency to decode a change in behavioral state can be reduced by 50% (from 4.8 s to 2.4 s), which will enhance the feasibility of NIRS for real- time applications. Citation: Cui X, Bray S, Reiss AL (2010) Speeded Near Infrared Spectroscopy (NIRS) Response Detection. PLoS ONE 5(11): e15474. doi:10.1371/ journal.pone.0015474 Editor: Fabien Tell, The Research Center of Neurobiology-Neurophysiology of Marseille, France Received August 23, 2010; Accepted September 30, 2010; Published November 11, 2010 Copyright: 2010 Cui et al. This is an open-access article distributed under the terms of the Creative Comm