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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Repositorysid.inpe.br/sibgrapi@80/2007/07.31.21.36
Last Update2007:07.31.21.36.11 administrator
Metadatasid.inpe.br/sibgrapi@80/2007/07.31.21.36.12
Metadata Last Update2020:02.19.03.06.19 administrator
Citation KeyDuqueSturAraúFeli:2007:NeMeDe
TitleA New Method for Detection of Active Brain Regions with Event-Related fMRI Time Series Analysis
FormatPrinted, On-line.
Year2007
DateOct. 7-10, 2007
Access Date2021, Jan. 16
Number of Files1
Size267 KiB
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Author1 Duque, Juliano Jinzenji
2 Sturzbecher, Marcio Junior
3 Araújo, Dráulio Barros de
4 Felipe, Joaquim Cezar
Affiliation1 University of São Paulo
2 University of São Paulo
3 Universitiy of São Paulo
4 University of São Paulo
EditorFalcão, Alexandre Xavier
Lopes, Hélio Côrtes Vieira
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
Conference LocationBelo Horizonte
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2007-07-31 21:36:12 :: julianojd@gmail.com -> administrator ::
2007-08-02 21:17:45 :: administrator -> julianojd@gmail.com ::
2008-07-17 14:09:43 :: julianojd@gmail.com -> administrator ::
2009-08-13 20:38:28 :: administrator -> banon ::
2010-08-28 20:02:29 :: banon -> administrator ::
2020-02-19 03:06:19 :: administrator -> :: 2007
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Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsfMRI, time series analysis, dynamic time warping.
AbstractFunctional 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. .
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data URLhttp://urlib.net/rep/sid.inpe.br/sibgrapi@80/2007/07.31.21.36
zipped data URLhttp://urlib.net/zip/sid.inpe.br/sibgrapi@80/2007/07.31.21.36
Languageen
Target Fileduque-fMRITimeSeriesAnalysis.pdf
User Groupjulianojd@gmail.com
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Mirror Repositorydpi.inpe.br/banon-pc2@80/2006/08.30.19.27
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume

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