A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data

A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data
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DOI:
10.1016/j.neuroimage.2004.12.034
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发表时间:
2005-05-01
期刊:
影响因子:
5.7
通讯作者:
Zilles, K
Zilles, K
中科院分区:
医学1区
文献类型:
--
作者:
Eickhoff, SB;Stephan, KE;Zilles, K

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将人脑功能成像研究中确定的激活灶与激活区域的结构(如细胞结构)信息相关联是神经科学研究的主要方法学挑战。在这里,我们提出了一种新的方法,利用从人死后大脑分析中获得的三维概率细胞构筑图,来关联大脑皮层的显微、解剖和功能成像数据。我们介绍了一个新的,基于MATLAB的SPM2软件包工具箱,它能够集成概率细胞构筑图和功能成像研究的结果。该工具箱包括构建汇总图的功能,通过找到每个Vosel到这些区域之一的最可能的分配来组合几个皮质区域的概率。它的主要特点是提供几个衡量标准,定义建筑区域和功能焦点之间的对应程度。MAP是一种软件,连同目前可用的概率,作为开放源代码软件提供给神经成像社区。这个新的工具箱提供了一个易于使用的工具,用于在一个共同的参考空间中对功能和解剖数据进行综合分析。(C)2004 Elsevier Inc.保留所有权利。
Correlating the activation foci identified in functional imaging studies of the human brain with structural (e.g., cytoarchitectonic) information oil the activated areas is a major methodological challenge for neuroscience research. We here present a new approach to make use of three-dimensional probabilistic cytoarchitectonic maps, as obtained from the analysis of human post-mortem brains, for correlating microscopical, anatomical and functional imaging data of the cerebral cortex. We introduce a new, MATLAB based toolbox for the SPM2 software package which enables the integration of probabilistic cytoarchitectonic maps and results of functional imaging studies. The toolbox include the functionality for the construction of summary maps combining probability of several cortical areas by finding the most probable assignment of each vosel to one of these areas. Its main feature is to provide several measures defining the degree of correspondence between architectonic areas and functional foci. The maps, is software, together with the presently available probability available as open source software to the neuroimaging community. This new toolbox provides an easy-to-use tool for the integrated analysis of functional and anatomical data in a common reference space. (c) 2004 Elsevier Inc. All rights reserved.