Differential functional patterns of the human posterior cingulate cortex during activation and deactivation: a meta-analytic connectivity model.
Differential functional patterns of the human posterior cingulate cortex during activation and deactivation: a meta-analytic connectivity model.
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DOI：
10.1007/s00221-019-05595-y
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发表时间：
2019-09
影响因子：
2
通讯作者：
Robinson JL
中科院分区：
文献类型：
--
作者：
Busler JN;Yanes JA;Bird RT;Reid MA;Robinson JL
后扣带皮层（PCC）除了作为默认模式网络（DMN）的中枢外，还参与了许多认知和行为过程。此外，PCC已被证明涉及一系列精神和神经系统疾病。然而，关于PCC的特定活化/失活功能概况知之甚少。在这里，我们采用了一种双重分析方法，使用强大的定量元分析连接性模型（MACM）和超高场、高分辨率静息状态功能磁共振成像（rs-fMRI）来识别人类PCC的状态特异性功能活动模式。MACM结果为PCC共激活和共失活的收敛区域提供了证据（即，左内侧额回、左杏仁核和左前扣带回）以及对PCC激活特异的发散区域（即，双侧额下回）或PCC失活（即，左海马旁回）。此外，探索MACM的背侧和腹侧的PCC子区域显示不同的功能活动模式，如更大的共激活的右侧PCC和左侧顶下小叶与背侧PCC和更大的共激活的右侧楔前叶与腹侧PCC。静息状态连接分析显示，广泛的连接类似的PCC共激活为基础的MACM，但也表现出额外的活动区域，包括双边上级顶叶区域和右上级颞区。这些分析突出了人类PCC的不同神经功能库，提供了额外的洞察其动态功能活动模式，因为它之间的激活和失活状态的切换，并阐明了可能涉及临床人群的认知过程。
The posterior cingulate cortex (PCC) has been implicated in a host of cognitive and behavioral processes in addition to serving as a central hub in the default mode network (DMN). Moreover, the PCC has been shown to be involved in a range of psychiatric and neurological disorders. However, very little is known about the specific activated/deactivated functional profiles of the PCC. Here, we employed a dual analytic approach using robust quantitative meta-analytical connectivity modeling (MACM) and ultra-high field, high resolution resting state functional magnetic resonance imaging (rs-fMRI) to identify state-specific functional activity patterns of the human PCC. The MACM results provided evidence for regions of convergence for PCC co-activation and co-deactivation (i.e., left medial frontal gyrus, left amygdala, and left anterior cingulate) as well as regions of divergence specific to either PCC activation (i.e., bilateral inferior frontal gyri) or PCC deactivation (i.e., left parahippocampal gyrus). In addition, exploratory MACMs on dorsal and ventral subregions of the PCC revealed differential functional activity patterns such as greater co-activation of the right PCC and left inferior parietal lobule with the dorsal PCC and greater co-activation of right precuneus with the ventral PCC. Resting state connectivity analyses showed widespread connectivity similar to that of the PCC co-activation-based MACM, but also demonstrated additional regions of activity, including bilateral superior parietal regions and right superior temporal regions. These analyses highlight the diverse neurofunctional repertoire of the human PCC, provide additional insight into its dynamic functional activity patterns as it switches between activated and deactivated states, and elucidates the cognitive processes that may be implicated in clinical populations.
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影响因子：
4.8
作者：
Eickhoff, Simon B.;Laird, Angela R.;Grefkes, Christian;Wang, Ling E.;Zilles, Karl;Fox, Peter T.
通讯作者：
Fox, Peter T.
DOI：
10.1177/1073858411403316
发表时间：
2012-06
期刊：
The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry
影响因子：
--
作者：
Andrews-Hanna JR
通讯作者：
Andrews-Hanna JR
DOI：
10.1080/23273798.2016.1227858
发表时间：
2017
期刊：
Language, cognition and neuroscience
影响因子：
--
作者：
Campbell KL;Schacter DL
通讯作者：
Schacter DL
DOI：
10.1007/s10334-010-0220-0
发表时间：
2010-12-01
影响因子：
2.3
作者：
Hale, Joanne R.;Brookes, Matthew J.;Morris, Peter G.
通讯作者：
Morris, Peter G.
影响因子：
5.7
作者：
Bzdok D;Heeger A;Langner R;Laird AR;Fox PT;Palomero-Gallagher N;Vogt BA;Zilles K;Eickhoff SB
通讯作者：
Eickhoff SB