Inconsistency and uncertainty of the human visual area loci following surface-based registration : probability and entropy maps
Inconsistency and uncertainty of the human visual area loci following surface-based registration : probability and entropy maps
复制标题
基于表面的配准后人类视觉区域轨迹的不一致和不确定性：概率和熵图
DOI：
10.1002/hbm.21200
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Ejima Y
中科院分区：
文献类型：
--
作者：
Yamamoto H;Fukunaga M;Takahashi S;Mano H;Tanaka C;Umeda M;Ejima Y
在这里，我们创建了两个不同的多受试者地图（16名受试者）来表征人类视觉区域位置的个体间差异（V1，V2/3的背侧和腹侧部分，V3 A，V3 B，V7，LOc，MT+和hV 4 [或V4 v和V8]），这些区域使用fMRI进行定位，并使用基于表面的方法进行配准。第一个是表示每个区域的对齐不一致程度的概率图，其中空间中的每个点与属于给定区域的概率相关联。第二，一个新的地图称为熵地图，其中每个点都与香农熵计算的概率，代表的不确定性程度的区域，居住在那里，是最大的，当所有地区都是同样的可能性。整体平均概率和熵值分别约为0.27和1.15位，依赖于视觉区域。这里生成的概率和熵图将有益于任何需要预测最可能存在于解剖点处的区域并且知道与这种预测相关联的不确定性的应用。^Brain Mapp，2012.© 2011 Wiley Periodicals，Inc.
Here we created two different multisubject maps (16 subjects) to characterize interindividual variability in the positions of human visual areas (V1, dorsal and ventral parts of V2/3, V3A, V3B, V7, LOc, MT+, and hV4 [or V4v and V8]), which were localized using fMRI and coregistered using a surface‐based method. The first is a probability map representing the degree of alignment inconsistency for each area, in which each point in space is associated with the probability affiliated with a given area. The second, a novel map termed an entropy map in which each point is associated with Shannon entropy computed from the probabilities, represents the degree of uncertainty regarding the area that resides there, and is maximal when all areas are equally probable. The overall average probability and entropy values were about 0.27 and 1.15 bits, respectively, with dependencies on the visual areas. The probability and entropy maps generated here will benefit any application which requires predictions of areas that are most likely present at an anatomical point and know the uncertainty associated with such predictions. Hum Brain Mapp, 2012. © 2011 Wiley Periodicals, Inc.