Abdollahi Rouhollah O, Kolster Hauke, Glasser Matthew F, Robinson Emma C, Coalson Timothy S, Dierker Donna, Jenkinson Mark, Van Essen David C, Orban Guy A
Laboratorium voor Neuro-en Psychofysiologie, KU Leuven, Leuven, Belgium.
Department of Anatomy and Neurobiology, Washington University School of Medicine, St Louis, MO, USA.
Neuroimage. 2014 Oct 1;99(100):509-24. doi: 10.1016/j.neuroimage.2014.06.042. Epub 2014 Jun 24.
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.
我们使用四种不同的受试者间配准方法,为先前在个体受试者中绘制的一组18个视网膜拓扑区域(Georgieva等人,2009年和Kolster等人,2010年)生成了概率面积图和最大概率图(MPM)。使用最近开发的多模态表面匹配方法获得了最佳结果。最佳的MPM集合在视觉区域之间具有相对平滑的边界,并且组平均面积大小与个体受试者中的典型大小相匹配。视网膜拓扑区域与估计的皮质髓磷脂含量图之间的比较揭示了以下对应关系:(i)V1、V2和V3区域髓鞘化程度高;(ii)MT簇髓鞘化程度高,在MT/pMSTv边界附近有一个峰值;(iii)背侧髓磷脂密度峰值对应于V3D区域;(iv)phPIT簇髓鞘化程度低;(v)V3A复合体的四个区域的髓磷脂密度不同。将视网膜拓扑MPM与细胞构筑区域进行比较,包括那些先前映射到fs_LR皮质表面图谱的区域,结果显示V1-3区域分别与hOc1-3区域对应,但在V3之外几乎没有对应关系。这些结果表明,在某些区域,建筑结构和视网膜拓扑区域边界是一致的,并且在其他区域,视网膜拓扑提供了更精细的分区。本次分析的图谱数据集可免费获取,作为其他研究的资源,这些研究将受益于人类视觉皮层中的视网膜拓扑和髓磷脂密度图地标。