Task-dependent Activation of Face-sensitive Cortex: An fMRI Adaptation Study
Task-dependent Activation of Face-sensitive Cortex: An fMRI Adaptation Study
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DOI：
10.1162/jocn.2009.21224
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发表时间：
2010-05-01
影响因子：
3.2
通讯作者：
Dick, Frederic
中科院分区：
文献类型：
--
作者：
Kadosh, Kathrin Cohen;Henson, Richard N. A.;Dick, Frederic
人类大脑中的面部处理招募了一个广泛的皮质网络，主要基于腹侧和侧颞叶和枕叶。然而，这个网络中的活动在多大程度上是由不同的面部属性驱动的，而不是由面部处理的方式（由任务要求决定）决定的，这一点仍然不清楚。我们将功能性磁共振适应范式与三个目标检测任务相结合，参与者必须检测特定的身份，情感表达或凝视方向，而与任务无关的面部特性独立变化。我们的分析集中在区分任务需求的影响和刺激变化的神经网络内的面部处理。结果表明，梭状回和枕下回不响应作为一个功能的刺激变化（如身份），而是他们的活动取决于任务的要求。具体来说，我们假设，任务是否鼓励配置或特征处理策略决定激活。我们对上级颞沟的研究结果更加具体，因为我们只发现了对可能涉及特征处理的刺激变化的更大反应。这些结果有助于我们了解面孔加工的功能解剖学，并为面孔加工中可能的补偿机制提供了见解。
Face processing in the human brain recruits a widespread cortical network based mainly in the ventral and lateral temporal and occipital lobes. However, the extent to which activity within this network is driven by different face properties versus being determined by the manner in which faces are processed (as determined by task requirements) remains unclear. We combined a functional magnetic resonance adaptation paradigm with three target detection tasks, where participants had to detect a specific identity, emotional expression, or direction of gaze, while the task-irrelevant face properties varied independently. Our analysis focused on differentiating the influence of task demands and the processing of stimulus changes within the neural network underlying face processing. Results indicated that the fusiform and inferior occipital gyrus do not respond as a function of stimulus change (such as identity), but rather their activity depends on the task demands. Specifically, we hypothesize that, whether the task encourages a configuralor a featural-processing strategy determines activation. Our results for the superior temporal sulcus were even more specific in that we only found greater responses to stimulus changes that may engage featural processing. These results contribute to our understanding of the functional anatomy of face processing and provide insights into possible compensatory mechanisms in face processing.