Real-time decoding of brain responses to visuospatial attention using 7T fMRI.

Brain-Computer interface technologies mean to create new communication channels between our mind and our environment, independent of the motor system, by detecting and classifying self regulation of local brain activity. BCIs can provide patients with severe paralysis a means to communicate and to l...

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Autores principales:	Patrik Andersson, Josien P W Pluim, Jeroen C W Siero, Stefan Klein, Max A Viergever, Nick F Ramsey
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/710245ef4f9a4ad8bc88f0509b774d4e
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spelling	oai:doaj.org-article:710245ef4f9a4ad8bc88f0509b774d4e2021-11-18T07:34:22ZReal-time decoding of brain responses to visuospatial attention using 7T fMRI.1932-620310.1371/journal.pone.0027638https://doaj.org/article/710245ef4f9a4ad8bc88f0509b774d4e2011-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22110702/?tool=EBIhttps://doaj.org/toc/1932-6203Brain-Computer interface technologies mean to create new communication channels between our mind and our environment, independent of the motor system, by detecting and classifying self regulation of local brain activity. BCIs can provide patients with severe paralysis a means to communicate and to live more independent lives. There has been a growing interest in using invasive recordings for BCI to improve the signal quality. This also potentially gives access to new control strategies previously inaccessible by non-invasive methods. However, before surgery, the best implantation site needs to be determined. The blood-oxygen-level dependent signal changes measured with fMRI have been shown to agree well spatially with those found with invasive electrodes, and are the best option for pre-surgical localization. We show, using real-time fMRI at 7T, that eye movement-independent visuospatial attention can be used as a reliable control strategy for BCIs. At this field strength even subtle signal changes can be detected in single trials thanks to the high contrast-to-noise ratio. A group of healthy subjects were instructed to move their attention between three (two peripheral and one central) spatial target regions while keeping their gaze fixated at the center. The activated regions were first located and thereafter the subjects were given real-time feedback based on the activity in these regions. All subjects managed to regulate local brain areas without training, which suggests that visuospatial attention is a promising new target for intracranial BCI. ECoG data recorded from one epilepsy patient showed that local changes in gamma-power can be used to separate the three classes.Patrik AnderssonJosien P W PluimJeroen C W SieroStefan KleinMax A ViergeverNick F RamseyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 6, Iss 11, p e27638 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Patrik Andersson Josien P W Pluim Jeroen C W Siero Stefan Klein Max A Viergever Nick F Ramsey Real-time decoding of brain responses to visuospatial attention using 7T fMRI.
description	Brain-Computer interface technologies mean to create new communication channels between our mind and our environment, independent of the motor system, by detecting and classifying self regulation of local brain activity. BCIs can provide patients with severe paralysis a means to communicate and to live more independent lives. There has been a growing interest in using invasive recordings for BCI to improve the signal quality. This also potentially gives access to new control strategies previously inaccessible by non-invasive methods. However, before surgery, the best implantation site needs to be determined. The blood-oxygen-level dependent signal changes measured with fMRI have been shown to agree well spatially with those found with invasive electrodes, and are the best option for pre-surgical localization. We show, using real-time fMRI at 7T, that eye movement-independent visuospatial attention can be used as a reliable control strategy for BCIs. At this field strength even subtle signal changes can be detected in single trials thanks to the high contrast-to-noise ratio. A group of healthy subjects were instructed to move their attention between three (two peripheral and one central) spatial target regions while keeping their gaze fixated at the center. The activated regions were first located and thereafter the subjects were given real-time feedback based on the activity in these regions. All subjects managed to regulate local brain areas without training, which suggests that visuospatial attention is a promising new target for intracranial BCI. ECoG data recorded from one epilepsy patient showed that local changes in gamma-power can be used to separate the three classes.
format	article
author	Patrik Andersson Josien P W Pluim Jeroen C W Siero Stefan Klein Max A Viergever Nick F Ramsey
author_facet	Patrik Andersson Josien P W Pluim Jeroen C W Siero Stefan Klein Max A Viergever Nick F Ramsey
author_sort	Patrik Andersson
title	Real-time decoding of brain responses to visuospatial attention using 7T fMRI.
title_short	Real-time decoding of brain responses to visuospatial attention using 7T fMRI.
title_full	Real-time decoding of brain responses to visuospatial attention using 7T fMRI.
title_fullStr	Real-time decoding of brain responses to visuospatial attention using 7T fMRI.
title_full_unstemmed	Real-time decoding of brain responses to visuospatial attention using 7T fMRI.
title_sort	real-time decoding of brain responses to visuospatial attention using 7t fmri.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/710245ef4f9a4ad8bc88f0509b774d4e
work_keys_str_mv	AT patrikandersson realtimedecodingofbrainresponsestovisuospatialattentionusing7tfmri AT josienpwpluim realtimedecodingofbrainresponsestovisuospatialattentionusing7tfmri AT jeroencwsiero realtimedecodingofbrainresponsestovisuospatialattentionusing7tfmri AT stefanklein realtimedecodingofbrainresponsestovisuospatialattentionusing7tfmri AT maxaviergever realtimedecodingofbrainresponsestovisuospatialattentionusing7tfmri AT nickframsey realtimedecodingofbrainresponsestovisuospatialattentionusing7tfmri
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Real-time decoding of brain responses to visuospatial attention using 7T fMRI.

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