Discriminable spatial patterns of activation for faces and bodies in the fusiform gyrus.

Discriminable spatial patterns of activation for faces and bodies in the fusiform gyrus.
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DOI:
10.3389/fnhum.2014.00632
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发表时间:
2014
影响因子:
2.9
通讯作者:
McCarthy G
McCarthy G
中科院分区:
医学3区
文献类型:
--
作者:
Kim NY;Lee SM;Erlendsdottir MC;McCarthy G

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功能性神经影像学研究一致报告,面部和身体的视觉感知强烈激活腹侧枕颞叶皮层(VOTC),特别是中外侧梭状回内的区域。一个尚未解决的问题是面部和身体激活该区域内离散或重叠的皮层区域的程度。在这里,我们使用对激活强度和空间模式差异敏感的单变量和多变量分析方法,以高空间分辨率检查了面孔和身体的VOTC活动。面孔和身体诱发基本重叠激活梭状回时,每一个相比,控制类别的房屋。使用标准单变量统计进行直接统计比较,梭状回中的面部和身体的激活没有离散区域存活下来。然而,多体素模式分析区分面部和身体的区域,单变量分析发现激活的强度没有显着差异。使用全脑多变量探照灯的方法,我们还发现,在VOTC广泛的区域以外的定义为梭形脸和身体领域使用标准的空间模式激活歧视的面孔和身体。这些发现提供了深入了解的空间分布的脸和身体特异性激活VOTC和功能专门化的区域的识别。
Functional neuroimaging studies consistently report that the visual perception of faces and bodies strongly activates regions within ventral occipitotemporal cortex (VOTC) and, in particular, within the mid-lateral fusiform gyrus. One unresolved issue is the degree to which faces and bodies activate discrete or overlapping cortical regions within this region. Here, we examined VOTC activity to faces and bodies at high spatial resolution, using univariate and multivariate analysis approaches sensitive to differences in both the strength and spatial pattern of activation. Faces and bodies evoked substantially overlapping activations in the fusiform gyrus when each was compared to the control category of houses. No discrete regions of activation for faces and bodies in the fusiform gyrus survived a direct statistical comparison using standard univariate statistics. However, multi-voxel pattern analysis differentiated faces and bodies in regions where univariate analysis found no significant difference in the strength of activation. Using a whole-brain multivariate searchlight approach, we also found that extensive regions in VOTC beyond those defined as fusiform face and body areas using standard criteria where the spatial pattern of activation discriminated faces and bodies. These findings provide insights into the spatial distribution of face- and body-specific activations in VOTC and the identification of functionally specialized regions.
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