King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Neuroimaging, London, United Kingdom; Perception in Action Research Centre and Department of Cognitive Science, Macquarie University, and ARC Centre of Excellence in Cognition and its Disorders, Macquarie University, Sydney, Australia.
Perception in Action Research Centre and Department of Cognitive Science, Macquarie University, and ARC Centre of Excellence in Cognition and its Disorders, Macquarie University, Sydney, Australia; MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.
Cortex. 2018 Nov;108:25-34. doi: 10.1016/j.cortex.2018.07.006. Epub 2018 Jul 25.
Our ability to flexibly switch between different tasks is a key component of cognitive control. Non-human primate (NHP) studies (e.g., Freedman, Riesenhuber, Poggio, & Miller, 2001) have shown that prefrontal neurons are re-used across tasks, re-configuring their responses to code currently relevant information. In a similar vein, in the human brain, the "multiple demand" (MD) system is suggested to exert control by adjusting its responses, selectively processing information in line with our current goals (Duncan, 2010). However, whether the same or different resources (underlying neural populations) in the human brain are recruited to solve different tasks remains elusive. In the present study, we aimed to bridge the gap between the NHP and human literature by examining human functional imaging data at an intermediate level of resolution: quantifying the extent to which single voxels contributed to multiple neural codes. Participants alternated between two tasks requiring the selection of feature information from two distinct sets of objects. We examined whether neural codes for the relevant stimulus features in the two different tasks depended on the same or different voxels. In line with the electrophysiological literature, MD voxels were more likely to contribute to multiple neural codes than we predicted based on permutation tests. Comparatively, in the visual system the neural codes depended on distinct sets of voxels. Our data emphasise the flexibility of the MD regions to re-configure their responses and adaptively code relevant information across different tasks.
我们灵活地在不同任务之间切换的能力是认知控制的一个关键组成部分。非人类灵长类动物(NHP)研究(例如,Freedman、Riesenhuber、Poggio 和 Miller,2001)表明,前额叶神经元在任务之间被重新使用,重新配置它们的反应以对当前相关的信息进行编码。类似地,在人类大脑中,“多重需求”(MD)系统被认为通过调整其反应来施加控制,有选择地处理与我们当前目标一致的信息(Duncan,2010)。然而,人类大脑中是否有相同或不同的资源(潜在的神经群体)被招募来解决不同的任务仍然难以捉摸。在本研究中,我们旨在通过检查人类功能成像数据的中间分辨率来弥合 NHP 和人类文献之间的差距:量化单个体素对多个神经编码的贡献程度。参与者在两个需要从两个不同物体集合中选择特征信息的任务之间交替。我们研究了两个不同任务中的相关刺激特征的神经编码是否依赖于相同或不同的体素。与电生理学文献一致,MD 体素比我们基于置换测试预测的更有可能对多个神经编码做出贡献。相比之下,在视觉系统中,神经编码依赖于不同的体素集。我们的数据强调了 MD 区域的灵活性,可以重新配置它们的反应,并在不同的任务中自适应地对相关信息进行编码。