Decoding sequential stages of task preparation in the human brain

Decoding sequential stages of task preparation in the human brain
复制标题

DOI:
10.1016/j.neuroimage.2008.11.031
复制
发表时间:
2009-04-01
期刊:
影响因子:
5.7
通讯作者:
Haynes, John-Dylan
Haynes, John-Dylan
中科院分区:
医学1区
文献类型:
--
作者:
Bode, Stefan;Haynes, John-Dylan

文献摘要

被引文献

相似文献

人脑中从感觉刺激到运动反应的信息流可以根据任务需求灵活地重新路由。然而,目前尚不清楚大脑为即将到来的任务做好准备涉及哪些过程序列。在这里,我们结合使用功能磁共振成像和多元模式分类来分解任务切换实验中的信息流。具体来说,我们提出了一种时间分辨解码方法,使我们能够跟踪任务相关信息的时间积累。这种方法还使我们能够区分任务的编码与目标刺激和运动反应的编码,从而区分信息处理的不同组成部分。我们能够从顶叶和外侧前额叶皮层解码受试者当前正在执行的特定任务集。重要的是,这表明顶内沟在前额皮质之前编码任务集信息,并且它是在相关目标刺激出现之前编码特定任务集的唯一区域。这表明顶叶皮层中与任务相关的信息并不像之前所建议的那样依赖于前额叶皮层的输入。相比之下,我们的研究结果表明,顶叶皮层可能在前额叶皮层建立任务集方面发挥作用。 (C) 2008 Elsevier Inc. 保留所有权利。
The flow of information from sensory stimuli to motor responses in the human brain can be flexibly re-routed depending on task demands. However, it has remained unclear which sequence of processes is involved in preparing the brain for an upcoming task. Here, we used a combination of fMRI and multivariate pattern classification to decompose the information flow in a task-switching experiment. Specifically, we present a time-resolved decoding approach that allowed us to track the temporal buildup of task-related information. This approach also allowed us to distinguish encoding of the task from encoding of target stimuli and motor responses, thus separating between different components of information processing. We were able to decode from parietal and lateral prefrontal cortex which specific task-set a subject was currently holding. Importantly, this revealed that the intraparietal sulcus encoded task-set information before prefrontal cortex, and it was the only region to encode the specific task-set before the relevant target stimulus was presented. This suggests that task-related information in parietal cortex does not rely on input from prefrontal cortex as previously suggested. In contrast, our findings suggest that parietal cortex might play a role in establishing task-sets in prefrontal cortex. (C) 2008 Elsevier Inc. All rights reserved.