Mirror-symmetric tonotopic maps in human primary auditory cortex

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dc.contributor.authorFormisano, Eko
dc.contributor.authorKim, Dae-Shikko
dc.contributor.authorDi Salle, Fko
dc.contributor.authorvan de Moortele, PFko
dc.contributor.authorUgurbil, Kko
dc.contributor.authorGoebel, Rko
dc.date.accessioned2013-03-04T00:39:11Z-
dc.date.available2013-03-04T00:39:11Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2003-11-
dc.identifier.citationNEURON, v.40, no.4, pp.859 - 869-
dc.identifier.issn0896-6273-
dc.identifier.urihttp://hdl.handle.net/10203/81119-
dc.description.abstractUnderstanding the functional organization of the human primary auditory cortex (PAC) is an essential step in elucidating the neural mechanisms underlying the perception of sound, including speech and music. Based on invasive research in animals, it is believed that neurons in human PAC that respond selectively with respect to the spectral content of a sound form one or more maps in which neighboring patches on the cortical surface respond to similar frequencies (tonotopic maps). The number and the cortical layout of such tonotopic maps in the human brain, however, remain unknown. Here we use silent, event-related functional magnetic resonance imaging at 7 Tesla and a cortex-based analysis of functional data to delineate with high spatial resolution the detailed topography of two tonotopic maps in two adjacent subdivisions of PAC. These maps share a low-frequency border, are mirror symmetric, and clearly resemble those of presumably homologous fields in the macaque monkey.-
dc.languageEnglish-
dc.publisherCELL PRESS-
dc.subjectLEVEL-DEPENDENT REPRESENTATION-
dc.subjectMIDDLE LATENCY COMPONENTS-
dc.subjectTIME-RESOLVED FMRI-
dc.subjectEVENT-RELATED FMRI-
dc.subjectVOLUME MEASUREMENT-
dc.subjectINTRINSIC SIGNALS-
dc.subjectEVOKED-POTENTIALS-
dc.subjectMACAQUE MONKEY-
dc.subjectTONE INTENSITY-
dc.subjectHUMAN BRAIN-
dc.titleMirror-symmetric tonotopic maps in human primary auditory cortex-
dc.typeArticle-
dc.identifier.wosid000186651200019-
dc.identifier.scopusid2-s2.0-0242489076-
dc.type.rimsART-
dc.citation.volume40-
dc.citation.issue4-
dc.citation.beginningpage859-
dc.citation.endingpage869-
dc.citation.publicationnameNEURON-
dc.identifier.doi10.1016/S0896-6273(03)00669-X-
dc.contributor.localauthorKim, Dae-Shik-
dc.contributor.nonIdAuthorFormisano, E-
dc.contributor.nonIdAuthorDi Salle, F-
dc.contributor.nonIdAuthorvan de Moortele, PF-
dc.contributor.nonIdAuthorUgurbil, K-
dc.contributor.nonIdAuthorGoebel, R-
dc.type.journalArticleArticle-
dc.subject.keywordPlusLEVEL-DEPENDENT REPRESENTATION-
dc.subject.keywordPlusMIDDLE LATENCY COMPONENTS-
dc.subject.keywordPlusTIME-RESOLVED FMRI-
dc.subject.keywordPlusEVENT-RELATED FMRI-
dc.subject.keywordPlusVOLUME MEASUREMENT-
dc.subject.keywordPlusINTRINSIC SIGNALS-
dc.subject.keywordPlusEVOKED-POTENTIALS-
dc.subject.keywordPlusMACAQUE MONKEY-
dc.subject.keywordPlusTONE INTENSITY-
dc.subject.keywordPlusHUMAN BRAIN-
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