Decoding task-based attentional modulation during face categorization.
Decoding task-based attentional modulation during face categorization.
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DOI：
10.1162/jocn.2010.21503
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发表时间：
2011-05
影响因子：
3.2
通讯作者：
Yantis S
中科院分区：
文献类型：
--
作者：
Chiu YC;Esterman M;Han Y;Rosen H;Yantis S
注意是一种神经认知机制，它选择与任务相关的感觉或记忆信息来实现当前的行为目标。当注意力被引导到特定的位置、特征或物体时，已经观察到皮层活动的注意力调制。然而，人们对高级分类任务集如何调节感知表征知之甚少。在目前的研究中，观察者根据性别（男性与女性）或种族（亚洲人与高加索人）对面孔进行分类。每一张脸在两个维度上都是模糊的，这样一个维度的分类就需要选择性地注意脸内与任务相关的信息。我们使用多体素模式分类（MVPC）表明，任务特异性调制引起可靠的不同空间模式的活动在三个面对选择性皮质区（右梭状面区和双侧枕叶面区）。这一结果表明，这些区域的活动模式不仅反映了刺激特异性（即，面孔对房子）的响应，而且是任务特定的（即，种族与性别）注意力调节。此外，探索性全脑MVPC（使用探照灯程序）揭示了背侧额顶叶区域（左额中回，左下和上级顶叶小叶），也表现出不同的模式，为两个任务集，这表明这些地区可能代表抽象的目标在高层次的分类任务。
Attention is a neurocognitive mechanism that selects task-relevant sensory or mnemonic information to achieve current behavioral goals. Attentional modulation of cortical activity has been observed when attention is directed to specific locations, features, or objects. However, little is known about how high-level categorization task-set modulates perceptual representations. In the current study, observers categorized faces by gender (male vs. female) or race (Asian vs. Caucasian). Each face was perceptually ambiguous in both dimensions, such that categorization of one dimension demanded selective attention to task-relevant information within the face. We used multivoxel pattern classification (MVPC) to show that task-specific modulations evoke reliably distinct spatial patterns of activity within three face-selective cortical regions (right fusiform face area and bilateral occipital face areas). This result suggests that patterns of activity in these regions reflect not only stimulus-specific (i.e., faces vs. houses) responses, but also task-specific (i.e., race vs. gender) attentional modulation. Furthermore, exploratory whole brain MVPC (using a searchlight procedure) revealed a network of dorsal frontoparietal regions (left middle frontal gyrus, left inferior and superior parietal lobule) that also exhibit distinct patterns for the two task-sets, suggesting that these regions may represent abstract goals during high-level categorization tasks.
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影响因子：
4.8
作者：
Fox, Christopher J.;Iaria, Giuseppe;Barton, Jason J. S.
通讯作者：
Barton, Jason J. S.
影响因子：
3.7
作者：
Nestor, Adrian;Vettel, Jean M.;Tarr, Michael J.
通讯作者：
Tarr, Michael J.
影响因子：
3.7
作者：
Fairhall, Scott L.;Ishai, Alumit
通讯作者：
Ishai, Alumit
影响因子：
5.7
作者：
Bode, Stefan;Haynes, John-Dylan
通讯作者：
Haynes, John-Dylan
DOI：
10.1073/pnas.0705654104
发表时间：
2007-12-18
影响因子：
11.1
作者：
Kriegeskorte, Nikolaus;Formisano, Elia;Goebel, Rainer
通讯作者：
Goebel, Rainer