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Transcranial stimulation of alpha oscillations up-regulates the default mode network.经颅刺激α 振荡可上调默认模式网络。
Proc Natl Acad Sci U S A. 2022 Jan 4;119(1). doi: 10.1073/pnas.2110868119.
3
Cingulo-opercular and frontoparietal control network connectivity and executive functioning in older adults.老年人扣带-脑岛和额顶控制网络连接与执行功能。
Geroscience. 2022 Apr;44(2):847-866. doi: 10.1007/s11357-021-00503-1. Epub 2021 Dec 23.
4
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5
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Geroscience. 2022 Feb;44(1):131-145. doi: 10.1007/s11357-021-00441-y. Epub 2021 Aug 25.
6
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基于任务的有用视野 (UFOV) fMRI 任务的功能连接。

Task-based functional connectivity of the Useful Field of View (UFOV) fMRI task.

机构信息

Center for Cognitive Aging and Memory, McKnight Brain Institute, University of Florida, Gainesville, FL, USA.

Department of Neuroscience, College of Medicine, University of Florida, Gainesville, FL, USA.

出版信息

Geroscience. 2023 Feb;45(1):293-309. doi: 10.1007/s11357-022-00632-1. Epub 2022 Aug 11.

DOI:10.1007/s11357-022-00632-1
PMID:35948860
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9886714/
Abstract

Declines in processing speed performance occur in aging and are a critical marker of functional independence in older adults. Numerous studies suggest that Useful Field of View (UFOV) training may ameliorate cognitive decline in older adults. Despite its efficacy, little is known about the neural correlates of this task. The current study is the first to investigate the coherence of functional connectivity during UFOV task completion. A total of 336 participants completed the UFOV task while undergoing task-based functional magnetic resonance imaging (fMRI). Ten spherical regions of interest (ROIs), selected a priori, were created based on regions with the greatest peak BOLD activation patterns in the UFOV fMRI task and regions that have been shown to significantly relate to UFOV fMRI task performance. We used a weighted ROI-to-ROI connectivity analysis to model task-specific functional connectivity strength between these a priori selected ROIs. We found that our UFOV fMRI network was functionally connected during task performance and was significantly associated to UFOV fMRI task performance. Within-network connectivity of the UFOV fMRI network showed comparable or better predictive power in accounting for UFOV accuracy compared to 7 resting state networks, delineated by Yeo and colleagues. Finally, we demonstrate that the within-network connectivity of UFOV fMRI task accounted for scores on a measure of "near transfer", the Double Decision task, better than the aforementioned resting state networks. Our data elucidate functional connectivity patterns of the UFOV fMRI task. This may assist in future targeted interventions that aim to improve synchronicity within the UFOV fMRI network.

摘要

处理速度表现的下降发生在衰老过程中,是老年人功能独立的一个关键标志。许多研究表明,有用视野(UFOV)训练可以改善老年人的认知能力下降。尽管它有效,但人们对这项任务的神经相关性知之甚少。目前的研究是第一个调查 UFOV 任务完成期间功能连接的一致性。共有 336 名参与者在进行基于任务的功能磁共振成像(fMRI)的同时完成 UFOV 任务。根据 UFOV fMRI 任务中最大的 BOLD 激活模式的区域和与 UFOV fMRI 任务表现显著相关的区域,预先选择了 10 个球形感兴趣区(ROI)。我们使用加权 ROI 到 ROI 的连接分析来模拟这些预先选择的 ROI 之间的特定任务功能连接强度。我们发现,我们的 UFOV fMRI 网络在任务执行期间具有功能连接性,并且与 UFOV fMRI 任务表现显著相关。与 Yeo 及其同事定义的 7 个静息态网络相比,UFOV fMRI 网络的网络内连接在解释 UFOV 准确性方面具有相当或更好的预测能力。最后,我们证明 UFOV fMRI 任务的网络内连接可以更好地解释“近迁移”测量的分数,即双决策任务,而优于上述静息态网络。我们的数据阐明了 UFOV fMRI 任务的功能连接模式。这可能有助于未来有针对性的干预措施,旨在改善 UFOV fMRI 网络内的同步性。