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		<citationkey>DuqueSturAraúFeli:2007:NeMeDe</citationkey>
		<author>Duque, Juliano Jinzenji,</author>
		<author>Sturzbecher, Marcio Junior,</author>
		<author>Araújo, Dráulio Barros de,</author>
		<author>Felipe, Joaquim Cezar,</author>
		<affiliation>University of São Paulo</affiliation>
		<affiliation>University of São Paulo</affiliation>
		<affiliation>Universitiy of São Paulo</affiliation>
		<affiliation>University of São Paulo</affiliation>
		<title>A New Method for Detection of Active Brain Regions with Event-Related fMRI Time Series Analysis</title>
		<conferencename>Brazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)</conferencename>
		<year>2007</year>
		<editor>Falcão, Alexandre Xavier,</editor>
		<editor>Lopes, Hélio Côrtes Vieira,</editor>
		<booktitle>Proceedings</booktitle>
		<date>Oct. 7-10, 2007</date>
		<publisheraddress>Los Alamitos</publisheraddress>
		<publisher>IEEE Computer Society</publisher>
		<conferencelocation>Belo Horizonte</conferencelocation>
		<keywords>fMRI, time series analysis, dynamic time warping.</keywords>
		<abstract>Functional magnetic resonance imaging (fMRI) has been applied with several purposes in clinical environment as well as in basic neuroscience studies. The main purpose of fMRI is to map brain activity, which is achieved by applying statistical methods to time series of each voxel intensity, related to changes in blood oxygen level, in response to a short stimulus. In this work, we propose a new method for the analysis of event-related fMRI based in the use of the Dynamic Time Warping technique to compare pixel intensity time series. The results show the ability to discriminate activated brain regions, when subjects were engaged in a motor task. .</abstract>
		<language>en</language>
		<tertiarytype>Full Paper</tertiarytype>
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