Sparsely-distributed organization of face and limb activations in human ventral temporal cortex.

Sparsely-distributed organization of face and limb activations in human ventral temporal cortex.
复制标题

DOI:
10.1016/j.neuroimage.2010.04.262
复制
发表时间:
2010-10-01
期刊:
影响因子:
5.7
通讯作者:
Grill-Spector, Kalanit
Grill-Spector, Kalanit
中科院分区:
医学1区
文献类型:
--
作者:
Weiner, Kevin S.;Grill-Spector, Kalanit

文献摘要

参考文献

被引文献

相似文献

功能性磁共振成像(fMRI)已经确定了面部和身体部位的选择性区域,以及分布激活模式的对象类别在人类腹侧颞叶皮层(VTC),引发了一场辩论的功能组织在VTC和神经编码的对象类别。使用高分辨率的功能磁共振成像,我们说明,面部和肢体选择性激活交替在一系列的基本上不重叠的集群在外侧VTC沿着枕下回(IOG),梭状回(FG),枕颞沟(OTS)。一般线性模型(GLM)和多体素模式(MVP)分析表明,面部和肢体选择性激活最小限度地重叠,这种组织是一致的实验和天。我们提供了一个可靠的方法来分离两个面对选择性集群的中间和后部FG(mFus和pFus),另一个IOG使用其空间关系的肢体选择性激活和视网膜定位区HV 4,VO-1/2,和hMT+。此外,这些激活显示出从IOG到mFus的面部选择性增加和肢体选择性降低的梯度。最后,MVP分析表明,有差异的信息,面对在外侧VTC(包含弱和高选择性体素)相对于非选择性体素在内侧VTC。这些发现表明一个稀疏分布的组织,其中稀疏是指存在几个脸和肢体选择性集群的VTC,和分布是指存在不同数量的信息在高,弱,和非选择性体素。因此,物体识别理论应该考虑神经编码在一系列非重叠的类别选择集群中的功能和空间约束,这些集群本身是分布式的。
Functional magnetic resonance imaging (fMRI) has identified face- and body part-selective regions, as well as distributed activation patterns for object categories across human ventral temporal cortex (VTC), eliciting a debate regarding functional organization in VTC and neural coding of object categories. Using high-resolution fMRI, we illustrate that face- and limb-selective activations alternate in a series of largely nonoverlapping clusters in lateral VTC along the inferior occipital gyrus (IOG), fusiform gyrus (FG), and occipitotemporal sulcus (OTS). Both general linear model (GLM) and multivoxel pattern (MVP) analyses show that face- and limb-selective activations minimally overlap and that this organization is consistent across experiments and days. We provide a reliable method to separate two face-selective clusters on the middle and posterior FG (mFus and pFus), and another on the IOG using their spatial relation to limb-selective activations and retinotopic areas hV4, VO-1/2, and hMT+. Furthermore, these activations show a gradient of increasing face selectivity and decreasing limb selectivity from the IOG to the mFus. Finally, MVP analyses indicate that there is differential information for faces in lateral VTC (containing weakly- and highly-selective voxels) relative to non-selective voxels in medial VTC. These findings suggest a sparsely-distributed organization where sparseness refers to the presence of several face- and limb-selective clusters in VTC, and distributed refers to the presence of different amounts of information in highly-, weakly-, and non-selective voxels. Consequently, theories of object recognition should consider the functional and spatial constraints of neural coding across a series of nonoverlapping category-selective clusters that are themselves distributed.
DOI: 10.1038/33402
发表时间: 1998-04-09
期刊: NATURE
影响因子: 64.8
作者:
Epstein, R;Kanwisher, N
通讯作者: Kanwisher, N
DOI: 10.1073/pnas.0800489105
发表时间: 2008-04-08
影响因子: 11.1
作者:
Hadj-Bouziane, Fadila;Bell, Andrew H.;Tootell, Roger B. H.
通讯作者: Tootell, Roger B. H.
DOI: 10.1162/neco.2007.09-06-340
发表时间: 2008-02-01
期刊: NEURAL COMPUTATION
影响因子: 2.9
作者:
Hanson, Stephen Jose;Halchenko, Yaroslav O.
通讯作者: Halchenko, Yaroslav O.
DOI: 10.1523/jneurosci.3619-06.2007
发表时间: 2007-01-03
影响因子: 5.3
作者:
Downing, Paul E.;Wiggett, Alison J.;Peelen, Marius V.
通讯作者: Peelen, Marius V.
DOI: 10.1093/cercor/1.1.1
发表时间: 1991-01-01
期刊: CEREBRAL CORTEX
影响因子: 3.7
作者:
Felleman, Daniel J.;Van Essen, David C.
通讯作者: Van Essen, David C.