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dc.contributor.authorMohd Yusof, Baharuddin-
dc.date.accessioned2009-11-18T03:26:52Z-
dc.date.available2009-11-18T03:26:52Z-
dc.date.issued2009-10-11-
dc.identifier.citationp.5B4 1 - 5B4 4en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/7329-
dc.descriptionOrganized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.en_US
dc.description.abstractFMRIB Software Library (FSL) is the collection tools of neuroimaging collection data which been developed by University of Oxford. The FMRI Expert Analysis Tool (FEAT) is the superior General Linear Model (GLM)-based FMRI analysis tool with a simple but commanding GUI, carrying out data preprocessing; first-level GLM analysis with prewhitening; registration to subject-specific structural images and standard space. In this study, two types of method has been used which are block and event related. The main objectives are to study human brain activity while hearing repetition of voice and sentence. Each sentence was recorded by other speakers with the instruction to not only repeat the sentence but to follow as much as possible the intonation and rhythm of the first speaker. Intonation, syntax and word content were very different across sentences. Prior studies shown that at a neural level, repetition tends to marked as a decrease in activation in auditory areas, perhaps due to habituation of neuronal responses.en_US
dc.description.sponsorshipTechnical sponsored by IEEE Malaysia Sectionen_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlisen_US
dc.relation.ispartofseriesProceedings of the International Conference on Man-Machine Systems (ICoMMS 2009)en_US
dc.subjectFEATen_US
dc.subjectNeuroimagingen_US
dc.subjectFMRIen_US
dc.subjectFSLen_US
dc.subjectNeurochemistryen_US
dc.subjectMagnetic resonance imagingen_US
dc.subjectTomography, Emissionen_US
dc.titleAnalysis of voice and sentence repetition using FSLen_US
dc.typeWorking Paperen_US
Appears in Collections:Conference Papers

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