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参与分类和项目工作记忆的额顶叶网络。

Frontoparietal networks involved in categorization and item working memory.

作者信息

Braunlich Kurt, Gomez-Lavin Javier, Seger Carol A

机构信息

Colorado State University, Cognitive Psychology and Molecular, Cellular and Integrative Neurosciences, Fort Collins, CO, USA.

CUNY, Department of Philosophy, New York, NY, USA.

出版信息

Neuroimage. 2015 Feb 15;107:146-162. doi: 10.1016/j.neuroimage.2014.11.051. Epub 2014 Dec 4.

DOI:10.1016/j.neuroimage.2014.11.051
PMID:25482265
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4306569/
Abstract

Categorization and memory for specific items are fundamental processes that allow us to apply knowledge to novel stimuli. This study directly compares categorization and memory using delay match to category (DMC) and delay match to sample (DMS) tasks. In DMC participants view and categorize a stimulus, maintain the category across a delay, and at the probe phase view another stimulus and indicate whether it is in the same category or not. In DMS, a standard item working memory task, participants encode and maintain a specific individual item, and at probe decide if the stimulus is an exact match or not. Constrained Principal Components Analysis was used to identify and compare activity within neural networks associated with these tasks, and we relate these networks to those that have been identified with resting state-fMRI. We found that two frontoparietal networks of particular interest. The first network included regions associated with the dorsal attention network and frontoparietal salience network; this network showed patterns of activity consistent with a role in rapid orienting to and processing of complex stimuli. The second uniquely involved regions of the frontoparietal central-executive network; this network responded more slowly following each stimulus and showed a pattern of activity consistent with a general role in role in decision-making across tasks. Additional components were identified that were associated with visual, somatomotor and default mode networks.

摘要

对特定项目的分类和记忆是基本过程,使我们能够将知识应用于新的刺激。本研究使用延迟匹配类别(DMC)和延迟匹配样本(DMS)任务直接比较分类和记忆。在DMC任务中,参与者查看并对刺激进行分类,在延迟期间保持该类别,在探测阶段查看另一个刺激并指出它是否属于同一类别。在DMS任务中,这是一个标准的项目工作记忆任务,参与者编码并保持一个特定的单个项目,并在探测时判断刺激是否完全匹配。使用约束主成分分析来识别和比较与这些任务相关的神经网络内的活动,并且我们将这些网络与通过静息态功能磁共振成像识别出的网络相关联。我们发现了两个特别有趣的额顶网络。第一个网络包括与背侧注意网络和额顶显著网络相关的区域;该网络显示出的活动模式与在快速定向和处理复杂刺激中所起的作用一致。第二个网络独特地涉及额顶中央执行网络的区域;该网络在每个刺激后反应较慢,并且显示出的活动模式与在跨任务决策中的一般作用一致。还识别出了与视觉、躯体运动和默认模式网络相关的其他成分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef74/4306569/7f95196163ce/nihms647018f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef74/4306569/daf5e62ca227/nihms647018f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef74/4306569/527e27cd100a/nihms647018f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef74/4306569/68b2b1ac2173/nihms647018f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef74/4306569/5e3566a9d9c6/nihms647018f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef74/4306569/603ebf620215/nihms647018f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef74/4306569/ca3a5f52adaf/nihms647018f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef74/4306569/7f95196163ce/nihms647018f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef74/4306569/daf5e62ca227/nihms647018f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef74/4306569/527e27cd100a/nihms647018f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef74/4306569/68b2b1ac2173/nihms647018f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef74/4306569/5e3566a9d9c6/nihms647018f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef74/4306569/603ebf620215/nihms647018f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef74/4306569/ca3a5f52adaf/nihms647018f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef74/4306569/7f95196163ce/nihms647018f7.jpg

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