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默认模式网络在自然感知中的惊人作用。

The surprising role of the default mode network in naturalistic perception.

机构信息

Department of Neurobiology and Azrieli National Institute for Human Brain Imaging and Research, Weizmann Institute of Science, Rehovot, 76100, Israel.

Faculty of Engineering, Holon Institute of Technology, Holon, 5810201, Israel.

出版信息

Commun Biol. 2021 Jan 19;4(1):79. doi: 10.1038/s42003-020-01602-z.

DOI:10.1038/s42003-020-01602-z
PMID:33469113
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7815915/
Abstract

The default mode network (DMN) is a group of high-order brain regions recently implicated in processing external naturalistic events, yet it remains unclear what cognitive function it serves. Here we identified the cognitive states predictive of DMN fMRI coactivation. Particularly, we developed a state-fluctuation pattern analysis, matching network coactivations across a short movie with retrospective behavioral sampling of movie events. Network coactivation was selectively correlated with the state of surprise across movie events, compared to all other cognitive states (e.g. emotion, vividness). The effect was exhibited in the DMN, but not dorsal attention or visual networks. Furthermore, surprise was found to mediate DMN coactivations with hippocampus and nucleus accumbens. These unexpected findings point to the DMN as a major hub in high-level prediction-error representations.

摘要

默认模式网络(DMN)是一组高级脑区,最近被牵涉到处理外部自然事件的过程中,但它的认知功能仍不清楚。在这里,我们确定了可以预测 DMN fMRI 共激活的认知状态。具体来说,我们开发了一种状态波动模式分析,将短片中的匹配网络共激活与短片事件的回顾性行为采样进行匹配。与其他认知状态(如情绪、生动性)相比,网络共激活与电影事件中的惊讶状态选择性相关。该效应在 DMN 中表现出来,但不在背侧注意或视觉网络中。此外,发现惊讶状态可以将 DMN 共激活与海马体和伏隔核联系起来。这些意外的发现表明,DMN 是高级预测误差表示的主要枢纽。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1657/7815915/c568e8f1890a/42003_2020_1602_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1657/7815915/6eb9eb53b7ad/42003_2020_1602_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1657/7815915/cb9ca2c9753f/42003_2020_1602_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1657/7815915/6f2a204e7a70/42003_2020_1602_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1657/7815915/c568e8f1890a/42003_2020_1602_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1657/7815915/6eb9eb53b7ad/42003_2020_1602_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1657/7815915/cb9ca2c9753f/42003_2020_1602_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1657/7815915/6f2a204e7a70/42003_2020_1602_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1657/7815915/c568e8f1890a/42003_2020_1602_Fig4_HTML.jpg

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Nat Rev Neurosci. 2019 Oct;20(10):593-608. doi: 10.1038/s41583-019-0212-7. Epub 2019 Sep 6.
4
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Top Cogn Sci. 2021 Jan;13(1):164-186. doi: 10.1111/tops.12450. Epub 2019 Sep 4.
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6
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7
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