Matches in SemOpenAlex for { <https://semopenalex.org/work/W2149488101> ?p ?o ?g. }
- W2149488101 endingPage "834" @default.
- W2149488101 startingPage "817" @default.
- W2149488101 abstract "Abstract This study aimed to demonstrate how a regional variant of principal component analysis (PCA) can be used to delineate the known functional subdivisions of the human visual system. Unlike conventional eigenimage analysis, PCA was carried out as a second‐level analysis subsequent to model‐based General Linear Model (GLM)‐type functional activation mapping. Functional homogeneity of the functional magnetic resonance imaging (fMRI) time series within and between clusters was examined on several levels of the visual network, starting from the level of individual clusters up to the network level comprising two or more distinct visual regions. On each level, the number of significant components was identified and compared with the number of clusters in the data set. Eigenimages were used to examine the regional distribution of the extracted components. It was shown that voxels within individual clusters and voxels located in bilateral homologue visual regions can be represented by a single component, constituting the characteristic functional specialization of the cluster(s). If, however, PCA was applied to time series of voxels located in functionally distinct visual regions, more than one component was observed with each component being dominated by voxels in one of the investigated regions. The model of functional connections derived by PCA was in accordance with the well‐known functional anatomy and anatomical connectivity of the visual system. PCA in combination with conventional activation mapping might therefore be used to identify the number of functionally distinct nodes in an fMRI data set in order to generate a model of functional connectivity within a neuroanatomical network. Hum Brain Mapp, 2006. © 2006 Wiley‐Liss, Inc." @default.
- W2149488101 created "2016-06-24" @default.
- W2149488101 creator A5014476984 @default.
- W2149488101 creator A5045174960 @default.
- W2149488101 creator A5051067760 @default.
- W2149488101 creator A5089543470 @default.
- W2149488101 date "2006-11-01" @default.
- W2149488101 modified "2023-10-10" @default.
- W2149488101 title "Detecting functional nodes in large-scale cortical networks with functional magnetic resonance imaging: A principal component analysis of the human visual system" @default.
- W2149488101 cites W1519349329 @default.
- W2149488101 cites W1966097627 @default.
- W2149488101 cites W1975502436 @default.
- W2149488101 cites W1979741733 @default.
- W2149488101 cites W1990252106 @default.
- W2149488101 cites W1996309984 @default.
- W2149488101 cites W1997320786 @default.
- W2149488101 cites W2002660165 @default.
- W2149488101 cites W2016444985 @default.
- W2149488101 cites W2016634887 @default.
- W2149488101 cites W2035843433 @default.
- W2149488101 cites W2036630433 @default.
- W2149488101 cites W2043749411 @default.
- W2149488101 cites W2047188683 @default.
- W2149488101 cites W2053920151 @default.
- W2149488101 cites W2060899536 @default.
- W2149488101 cites W2062993286 @default.
- W2149488101 cites W2066900533 @default.
- W2149488101 cites W2067920955 @default.
- W2149488101 cites W2071714163 @default.
- W2149488101 cites W2085928025 @default.
- W2149488101 cites W2092818848 @default.
- W2149488101 cites W2095182071 @default.
- W2149488101 cites W2105866358 @default.
- W2149488101 cites W2116649573 @default.
- W2149488101 cites W2116799974 @default.
- W2149488101 cites W2117140276 @default.
- W2149488101 cites W2124187669 @default.
- W2149488101 cites W2125512744 @default.
- W2149488101 cites W2133007182 @default.
- W2149488101 cites W2133097426 @default.
- W2149488101 cites W2134264037 @default.
- W2149488101 cites W2137526583 @default.
- W2149488101 cites W2138670794 @default.
- W2149488101 cites W2145439642 @default.
- W2149488101 cites W2151635492 @default.
- W2149488101 doi "https://doi.org/10.1002/hbm.20311" @default.
- W2149488101 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6871334" @default.
- W2149488101 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/17080435" @default.
- W2149488101 hasPublicationYear "2006" @default.
- W2149488101 type Work @default.
- W2149488101 sameAs 2149488101 @default.
- W2149488101 citedByCount "11" @default.
- W2149488101 countsByYear W21494881012012 @default.
- W2149488101 countsByYear W21494881012014 @default.
- W2149488101 countsByYear W21494881012021 @default.
- W2149488101 countsByYear W21494881012022 @default.
- W2149488101 crossrefType "journal-article" @default.
- W2149488101 hasAuthorship W2149488101A5014476984 @default.
- W2149488101 hasAuthorship W2149488101A5045174960 @default.
- W2149488101 hasAuthorship W2149488101A5051067760 @default.
- W2149488101 hasAuthorship W2149488101A5089543470 @default.
- W2149488101 hasBestOaLocation W21494881012 @default.
- W2149488101 hasConcept C119857082 @default.
- W2149488101 hasConcept C142259097 @default.
- W2149488101 hasConcept C153180895 @default.
- W2149488101 hasConcept C154945302 @default.
- W2149488101 hasConcept C15744967 @default.
- W2149488101 hasConcept C169760540 @default.
- W2149488101 hasConcept C177264268 @default.
- W2149488101 hasConcept C199360897 @default.
- W2149488101 hasConcept C27438332 @default.
- W2149488101 hasConcept C2779226451 @default.
- W2149488101 hasConcept C2779345533 @default.
- W2149488101 hasConcept C2779528209 @default.
- W2149488101 hasConcept C41008148 @default.
- W2149488101 hasConcept C54170458 @default.
- W2149488101 hasConcept C71176878 @default.
- W2149488101 hasConceptScore W2149488101C119857082 @default.
- W2149488101 hasConceptScore W2149488101C142259097 @default.
- W2149488101 hasConceptScore W2149488101C153180895 @default.
- W2149488101 hasConceptScore W2149488101C154945302 @default.
- W2149488101 hasConceptScore W2149488101C15744967 @default.
- W2149488101 hasConceptScore W2149488101C169760540 @default.
- W2149488101 hasConceptScore W2149488101C177264268 @default.
- W2149488101 hasConceptScore W2149488101C199360897 @default.
- W2149488101 hasConceptScore W2149488101C27438332 @default.
- W2149488101 hasConceptScore W2149488101C2779226451 @default.
- W2149488101 hasConceptScore W2149488101C2779345533 @default.
- W2149488101 hasConceptScore W2149488101C2779528209 @default.
- W2149488101 hasConceptScore W2149488101C41008148 @default.
- W2149488101 hasConceptScore W2149488101C54170458 @default.
- W2149488101 hasConceptScore W2149488101C71176878 @default.
- W2149488101 hasIssue "9" @default.
- W2149488101 hasLocation W21494881011 @default.
- W2149488101 hasLocation W21494881012 @default.
- W2149488101 hasLocation W21494881013 @default.
- W2149488101 hasLocation W21494881014 @default.
- W2149488101 hasOpenAccess W2149488101 @default.