TY - JOUR
T1 - Correspondences between retinotopic areas and myelin maps in human visual cortex
AU - Abdollahi, Rouhollah O.
AU - Kolster, Hauke
AU - Glasser, Matthew F.
AU - Robinson, Emma C.
AU - Coalson, Timothy S.
AU - Dierker, Donna
AU - Jenkinson, Mark
AU - Van Essen, David C.
AU - Orban, Guy A.
N1 - Funding Information:
This work was supported by a grant from Telenet NV to GAO, by ERC Parietalaction (PI GAO), by NIH grants MH60974 and F30-MH97312, and by NIH grant 1U54MH091657, funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research. The authors are grateful to H Mohlberg for providing the probability maps of the cytoarchitectonic areas.
PY - 2014/10/1
Y1 - 2014/10/1
N2 - We generated probabilistic area maps and maximum probability maps (MPMs) for a set of 18 retinotopic areas previously mapped in individual subjects (Georgieva et al., 2009 and Kolster et al., 2010) using four different inter-subject registration methods. The best results were obtained using a recently developed multimodal surface matching method. The best set of MPMs had relatively smooth borders between visual areas and group average area sizes that matched the typical size in individual subjects. Comparisons between retinotopic areas and maps of estimated cortical myelin content revealed the following correspondences: (i) areas V1, V2, and V3 are heavily myelinated; (ii) the MT cluster is heavily myelinated, with a peak near the MT/pMSTv border; (iii) a dorsal myelin density peak corresponds to area V3D; (iv) the phPIT cluster is lightly myelinated; and (v) myelin density differs across the four areas of the V3A complex. Comparison of the retinotopic MPM with cytoarchitectonic areas, including those previously mapped to the fs_LR cortical surface atlas, revealed a correspondence between areas V1-3 and hOc1-3, respectively, but little correspondence beyond V3. These results indicate that architectonic and retinotopic areal boundaries are in agreement in some regions, and that retinotopy provides a finer-grained parcellation in other regions. The atlas datasets from this analysis are freely available as a resource for other studies that will benefit from retinotopic and myelin density map landmarks in human visual cortex.
AB - We generated probabilistic area maps and maximum probability maps (MPMs) for a set of 18 retinotopic areas previously mapped in individual subjects (Georgieva et al., 2009 and Kolster et al., 2010) using four different inter-subject registration methods. The best results were obtained using a recently developed multimodal surface matching method. The best set of MPMs had relatively smooth borders between visual areas and group average area sizes that matched the typical size in individual subjects. Comparisons between retinotopic areas and maps of estimated cortical myelin content revealed the following correspondences: (i) areas V1, V2, and V3 are heavily myelinated; (ii) the MT cluster is heavily myelinated, with a peak near the MT/pMSTv border; (iii) a dorsal myelin density peak corresponds to area V3D; (iv) the phPIT cluster is lightly myelinated; and (v) myelin density differs across the four areas of the V3A complex. Comparison of the retinotopic MPM with cytoarchitectonic areas, including those previously mapped to the fs_LR cortical surface atlas, revealed a correspondence between areas V1-3 and hOc1-3, respectively, but little correspondence beyond V3. These results indicate that architectonic and retinotopic areal boundaries are in agreement in some regions, and that retinotopy provides a finer-grained parcellation in other regions. The atlas datasets from this analysis are freely available as a resource for other studies that will benefit from retinotopic and myelin density map landmarks in human visual cortex.
UR - http://www.scopus.com/inward/record.url?scp=84904794361&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2014.06.042
DO - 10.1016/j.neuroimage.2014.06.042
M3 - Article
C2 - 24971513
AN - SCOPUS:84904794361
SN - 1053-8119
VL - 99
SP - 509
EP - 524
JO - NeuroImage
JF - NeuroImage
ER -