Cortical mapping by magnetic resonance imaging (MRI) and quantitative cytological analysis in the human brain: a feasibility study in the fusiform gyrus.

Cortical mapping by magnetic resonance imaging (MRI) and quantitative cytological analysis in the human brain: a feasibility study in the fusiform gyrus.
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DOI:
10.1016/j.jneumeth.2013.04.018
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发表时间:
2013-08-15
影响因子:
3
通讯作者:
Annese, Jacopo
Annese, Jacopo
中科院分区:
医学4区
文献类型:
--
作者:
Schenker-Ahmed, Natalie M.;Annese, Jacopo

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大脑皮层是一个分层的细胞结构,它被切向地组织成解剖学上和功能上不同的领域的马赛克。尽管经过几个世纪的研究,大脑皮层中许多区域的精确定位和分类仍然存在问题,因为功能特异性和皮层内结构之间的关系尚未牢固建立。此外,目前尚不清楚如何表面标志,可见通过肉眼检查,最近,使用非侵入性磁共振成像(MRI),涉及到底层的微结构边界和地形的功能激活。我们设计了一种多模态神经成像协议,结合MRI和定量显微镜分析在同一个人,以澄清在大脑皮层的大体解剖标志的细胞结构的拓扑结构。我们在梭状回(FG)区域测试了我们的方法,因为尽管它在两个半球的腹侧表面上看起来很光滑,但这个结构容纳了许多功能明确的区域,其组织学边界仍然不清楚。在实践中,我们使用基于MRI的自动分割来定义感兴趣的区域,然后我们可以从中收集定量组织学数据(特别是神经元大小和密度)。一种改进的体视学方法被用来采样的FG内的皮质没有先验假设的位置上的架构边界。这些分析的结果说明了沿着FG的结构变化,并证明有可能将定量组织学数据与在大规模、非侵入性基于MRI的人群研究中获得的测量结果相关联。
The cerebral cortex is a layered cellular structure that is tangentially organized into a mosaic of anatomically and functionally distinct fields. In spite of centuries of investigation, the precise localization and classification of many areas in the cerebral cortex remain problematic because the relationship between functional specificity and intra-cortical structure has not been firmly established. Furthermore, it is not yet clear how surface landmarks, visible through gross examination and, more recently, using non-invasive magnetic resonance imaging (MRI), relate to underlying microstructural borders and to the topography of functional activation. We have designed a multi-modal neuroimaging protocol that combines MRI and quantitative microscopic analysis in the same individual to clarify the topography of cytoarchitecture underlying gross anatomical landmarks in the cerebral cortex. We tested our approach in the region of the fusiform gyrus (FG), because in spite of its seemingly smooth appearance on the ventral aspect of both hemispheres, this structure houses many functionally defined areas whose histological borders remain unclear. In practice, we used MRI-based automated segmentation to define the region of interest from which we could then collect quantitative histological data (specifically, neuronal size and density). A modified stereological approach was used to sample the cortex within the FG without a priori assumptions on the location of architectonic boundaries. The results of these analyses illustrate architectonic variations along the FG and demonstrate that it is possible to correlate quantitative histological data to measures that are obtained in the context of large-scale, non-invasive MRI-based population studies.
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