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Resting-state networks do not determine cognitive function networks: a commentary on Campbell and Schacter (2016).

作者信息

Davis Simon W, Stanley Matthew L, Moscovitch Morris, Cabeza Roberto

机构信息

Neurology, Duke University School of Medicine, Durham, NC, USA.

Center for Cognitive Neuroscience, Duke Institute for Brain Sciences, Duke University, Durham, NC, USA.

出版信息

Lang Cogn Neurosci. 2017;32(6):669-673. doi: 10.1080/23273798.2016.1252847. Epub 2016 Nov 6.

DOI:10.1080/23273798.2016.1252847
PMID:28989941
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5629978/
Abstract
摘要

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2
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Front Hum Neurosci. 2016 Jun 27;10:314. doi: 10.3389/fnhum.2016.00314. eCollection 2016.
3
A multi-modal parcellation of human cerebral cortex.人类大脑皮层的多模态分区
Nature. 2016 Aug 11;536(7615):171-178. doi: 10.1038/nature18933. Epub 2016 Jul 20.
4
Episodic Memory and Beyond: The Hippocampus and Neocortex in Transformation.情景记忆及其他:处于转变中的海马体与新皮层
Annu Rev Psychol. 2016;67:105-34. doi: 10.1146/annurev-psych-113011-143733.
5
Hippocampal Contributions to the Large-Scale Episodic Memory Network Predict Vivid Visual Memories.海马体对大规模情景记忆网络的贡献预示着生动的视觉记忆。
Cereb Cortex. 2017 Jan 1;27(1):680-693. doi: 10.1093/cercor/bhv272.
6
Ongoing dynamics in large-scale functional connectivity predict perception.大规模功能连接性中的持续动态变化可预测感知。
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7
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PLoS One. 2015 Apr 13;10(4):e0123950. doi: 10.1371/journal.pone.0123950. eCollection 2015.
8
The wandering brain: meta-analysis of functional neuroimaging studies of mind-wandering and related spontaneous thought processes.漫游的大脑:元分析功能性神经影像学研究的走神和相关的自发性思维过程。
Neuroimage. 2015 May 1;111:611-21. doi: 10.1016/j.neuroimage.2015.02.039. Epub 2015 Feb 25.
9
Changes in global and regional modularity associated with increasing working memory load.与工作记忆负荷增加相关的全局和区域模块化变化。
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10
Elevated hippocampal resting-state connectivity underlies deficient neurocognitive function in aging.海马静息态连接性升高是衰老过程中神经认知功能缺陷的基础。
Proc Natl Acad Sci U S A. 2014 Dec 9;111(49):17654-9. doi: 10.1073/pnas.1410233111. Epub 2014 Nov 24.