A neighborhood method for statistical analysis of fMRI data

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 678
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorAhmad, Fayyazko
dc.contributor.authorUllah, Ghanimko
dc.contributor.authorKim, Sung-Hoko
dc.date.accessioned2013-03-12T20:27:10Z-
dc.date.available2013-03-12T20:27:10Z-
dc.date.created2012-07-06-
dc.date.created2012-07-06-
dc.date.issued2012-01-
dc.identifier.citationOpen Journal of Biophysics, v.2, no.1, pp.15 - 22-
dc.identifier.issn2164-5388-
dc.identifier.urihttp://hdl.handle.net/10203/103429-
dc.description.abstractIn an effort to cope with the fact that functional magnetic resonance imaging (fMRI) data are spatio-temporally correlated, we propose a novel statistical method with a view to improve the detection of brain regions with increased neuronal activity in fMRI. In this method, we make use of information from neighboring voxels of a voxel, for estimation at the voxel. We examined performance of the method against the statistical parametric mapping (SPM) method using both simulated and real data. The proposed method is shown to be considerably better than the SPM in the context of Receiver Operating Characteristics (ROC) curves.-
dc.languageEnglish-
dc.publisherScientific Research Publishing-
dc.titleA neighborhood method for statistical analysis of fMRI data-
dc.typeArticle-
dc.type.rimsART-
dc.citation.volume2-
dc.citation.issue1-
dc.citation.beginningpage15-
dc.citation.endingpage22-
dc.citation.publicationnameOpen Journal of Biophysics-
dc.contributor.localauthorKim, Sung-Ho-
dc.contributor.nonIdAuthorAhmad, Fayyaz-
dc.contributor.nonIdAuthorUllah, Ghanim-
Appears in Collection
MA-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0