| Home > Publications database > Comparison of functional and cytoarchitectonic maps of human visual areas V1, V2, V3d, V3v, and V4(v) > print |
| 001 | 7895 | ||
| 005 | 20210129210436.0 | ||
| 024 | 7 | _ | |2 pmid |a pmid:19800409 |
| 024 | 7 | _ | |2 DOI |a 10.1016/j.neuroimage.2009.09.063 |
| 024 | 7 | _ | |2 WOS |a WOS:000272808400003 |
| 037 | _ | _ | |a PreJuSER-7895 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 610 |
| 084 | _ | _ | |2 WoS |a Neurosciences |
| 084 | _ | _ | |2 WoS |a Neuroimaging |
| 084 | _ | _ | |2 WoS |a Radiology, Nuclear Medicine & Medical Imaging |
| 100 | 1 | _ | |0 P:(DE-Juel1)VDB53456 |a Wilms, M. |b 0 |u FZJ |
| 245 | _ | _ | |a Comparison of functional and cytoarchitectonic maps of human visual areas V1, V2, V3d, V3v, and V4(v) |
| 260 | _ | _ | |a Orlando, Fla. |b Academic Press |c 2010 |
| 300 | _ | _ | |a 1171 - 1179 |
| 336 | 7 | _ | |0 PUB:(DE-HGF)16 |2 PUB:(DE-HGF) |a Journal Article |
| 336 | 7 | _ | |2 DataCite |a Output Types/Journal article |
| 336 | 7 | _ | |0 0 |2 EndNote |a Journal Article |
| 336 | 7 | _ | |2 BibTeX |a ARTICLE |
| 336 | 7 | _ | |2 ORCID |a JOURNAL_ARTICLE |
| 336 | 7 | _ | |2 DRIVER |a article |
| 440 | _ | 0 | |0 4545 |a NeuroImage |v 49 |x 1053-8119 |y 2 |
| 500 | _ | _ | |a We are grateful to our colleagues from the MR group of the institute for Neurosciences and Medicine for their assistance in acquiring the fMRI data. G.R.F. was supported by the Deutsche Forschungsgemeinschaft. S.B.E. was supported by the Human Brain Project (R01-MH074457-01A1) and the Helmholtz Initiative on Systems-Biology "The Human Brain Model." This work was part of a Human Brain Project/Neuroinformatics Research Grant funded by the National Institute of Biomedical Imaging and Bioengineering, the National Institute of Neurological Disorders and Stroke, and the National Institute of Mental Health (K.A.). |
| 520 | _ | _ | |a Cytoarchitectonic maps of human striate and extrastriate visual cortex based upon post-mortem brains can be correlated with functionally defined cortical areas using, for example, fMRI. We here assess the correspondence of anatomical maps of the visual cortex with functionally defined in vivo visual areas using retinotopic mapping. To this end, anatomical maximum probability maps (aMPM) derived from individual cytoarchitectonic maps of striate and extrastriate visual areas were compared with functional localisers for the early visual areas. Using fMRI, we delineated dorsal and ventral human retinotopic areas V1, V2, and V3, as well as a quarter-field visual field representation lateral to V3v, V4(v), in 24 healthy subjects. Based on these individual definitions, a functional maximum probability map (fMPM) was then computed in analogy to the aMPM. Functional and anatomical MPMs were highly correlated at group level: 78.5% of activated voxels in the fMPM were correctly assigned by the aMPM. The group aMPM was less effective in predicting functional retinotopic areas in the individual brain due to the large inter-individual variability in the location and extent of visual areas (mean overlap 32-69%). We conclude that cytoarchitectonic maps of striate and extrastriate visual areas may provide a valuable method for assigning functional group activations and thus add valuable a priori knowledge to the analysis of functional imaging data of the visual cortex. |
| 536 | _ | _ | |0 G:(DE-Juel1)FUEK409 |2 G:(DE-HGF) |x 0 |c FUEK409 |a Funktion und Dysfunktion des Nervensystems (FUEK409) |
| 536 | _ | _ | |0 G:(DE-HGF)POF2-89572 |a 89572 - (Dys-)function and Plasticity (POF2-89572) |c POF2-89572 |f POF II T |x 1 |
| 588 | _ | _ | |a Dataset connected to Web of Science, Pubmed |
| 650 | _ | 2 | |2 MeSH |a Adult |
| 650 | _ | 2 | |2 MeSH |a Brain Mapping |
| 650 | _ | 2 | |2 MeSH |a Female |
| 650 | _ | 2 | |2 MeSH |a Humans |
| 650 | _ | 2 | |2 MeSH |a Male |
| 650 | _ | 2 | |2 MeSH |a Photic Stimulation |
| 650 | _ | 2 | |2 MeSH |a Probability |
| 650 | _ | 2 | |2 MeSH |a Visual Cortex: cytology |
| 650 | _ | 2 | |2 MeSH |a Visual Cortex: physiology |
| 650 | _ | 2 | |2 MeSH |a Visual Pathways: cytology |
| 650 | _ | 2 | |2 MeSH |a Visual Pathways: physiology |
| 650 | _ | 2 | |2 MeSH |a Visual Perception: physiology |
| 650 | _ | 2 | |2 MeSH |a Young Adult |
| 650 | _ | 7 | |2 WoSType |a J |
| 700 | 1 | _ | |0 P:(DE-Juel1)131678 |a Eickhoff, S. B. |b 1 |u FZJ |
| 700 | 1 | _ | |0 P:(DE-Juel1)VDB33810 |a Hömke, L. |b 2 |u FZJ |
| 700 | 1 | _ | |0 P:(DE-Juel1)VDB61059 |a Rottschy, C. |b 3 |u FZJ |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Kujovic, M. |b 4 |
| 700 | 1 | _ | |0 P:(DE-Juel1)131631 |a Amunts, K. |b 5 |u FZJ |
| 700 | 1 | _ | |0 P:(DE-Juel1)131720 |a Fink, G. R. |b 6 |u FZJ |
| 773 | _ | _ | |0 PERI:(DE-600)1471418-8 |a 10.1016/j.neuroimage.2009.09.063 |g Vol. 49, p. 1171 - 1179 |p 1171 - 1179 |q 49<1171 - 1179 |t NeuroImage |v 49 |x 1053-8119 |y 2010 |
| 856 | 7 | _ | |u http://dx.doi.org/10.1016/j.neuroimage.2009.09.063 |
| 909 | C | O | |o oai:juser.fz-juelich.de:7895 |p VDB |
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