dc.creatorFelix, Leonardo Bonato
dc.creatorRanaudo, Fernando de Souza
dc.creatorD’affonseca Netto, Aluizio
dc.creatorSá, Antonio Mauricio Ferreira Leite Miranda de
dc.date2018-03-28T14:20:21Z
dc.date2018-03-28T14:20:21Z
dc.date2014-03-26
dc.date.accessioned2023-09-27T20:44:46Z
dc.date.available2023-09-27T20:44:46Z
dc.identifier01650270
dc.identifierhttps://doi.org/10.1016/j.jneumeth.2014.03.014
dc.identifierhttp://www.locus.ufv.br/handle/123456789/18573
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8946930
dc.descriptionAuditory selective attention is the human ability of actively focusing in a certain sound stimulus while avoiding all other ones. This ability can be used, for example, in behavioral studies and brain-machine interface. In this work we developed an objective method – called Spatial Coherence – to detect the side where a subject is focusing attention to. This method takes into consideration the Magnitude Squared Coherence and the topographic distribution of responses among electroencephalogram electrodes. The individuals were stimulated with amplitude-modulated tones binaurally and were oriented to focus attention to only one of the stimuli. The results indicate a contralateral modulation of ASSR in the attention condition and are in agreement with prior studies. Furthermore, the best combination of electrodes led to a hit rate of 82% for 5.03 commands per minute. Using a similar paradigm, in a recent work, a maximum hit rate of 84.33% was achieved, but with a greater a classification time (20 s, i.e. 3 commands per minute). It seems that Spatial Coherence is a useful technique for detecting focus of auditory selective attention.
dc.formatpdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherJournal of Neuroscience Methods
dc.relationv. 229, p. 28-32, May 2014
dc.rightsElsevier B.V. All rights reserved.
dc.subjectSelective attention
dc.subjectSpatial Coherence
dc.subjectAuditory steady-state response
dc.titleA spatial approach of magnitude-squared coherence applied to selective attention detection
dc.typeArtigo


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