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使用连续“状态相关”功能磁共振成像探索动态脑功能网络

Exploring Dynamic Brain Functional Networks Using Continuous "State-Related" Functional MRI.

作者信息

Li Xun, Zang Yu-Feng, Zhang Han

机构信息

Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou 311121, China ; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou 310015, China.

出版信息

Biomed Res Int. 2015;2015:824710. doi: 10.1155/2015/824710. Epub 2015 Aug 27.

DOI:10.1155/2015/824710
PMID:26413546
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4564637/
Abstract

We applied a "temporal decomposition" method, which decomposed a single brain functional network into several "modes"; each of them dominated a short temporal period, on a continuous, "state-" related, "finger-force feedback" functional magnetic resonance imaging experiment. With the hypothesis that attention and internal/external information processing interaction could be manipulated by different (real and sham) feedback conditions, we investigated functional network dynamics of the "default mode," "executive control," and sensorimotor networks. They were decomposed into several modes. During real feedback, the occurrence of "default mode-executive control competition-related" mode was higher than that during sham feedback (P = 0.0003); the "default mode-visual facilitation-related" mode more frequently appeared during sham than real feedback (P = 0.0004). However, the dynamics of the sensorimotor network did not change significantly between two conditions (P > 0.05). Our results indicated that the visual-guided motor feedback involves higher cognitive functional networks rather than primary motor network. The dynamics monitoring of inner and outside environment and multisensory integration could be the mechanisms. This study is an extension of our previous region-specific and static-styled study of our brain functional architecture.

摘要

我们应用了一种“时间分解”方法,该方法将单个脑功能网络分解为几种“模式”;在一项连续的、与“状态”相关的“手指力反馈”功能磁共振成像实验中,每种模式在较短的时间段内占主导地位。基于注意力与内部/外部信息处理交互作用可被不同(真实和假)反馈条件所操控的假设,我们研究了“默认模式”“执行控制”和感觉运动网络的功能网络动力学。它们被分解为几种模式。在真实反馈期间,“默认模式 - 执行控制竞争相关”模式的出现频率高于假反馈期间(P = 0.0003);“默认模式 - 视觉促进相关”模式在假反馈期间比真实反馈期间更频繁出现(P = 0.0004)。然而,感觉运动网络的动力学在两种条件之间没有显著变化(P > 0.05)。我们的结果表明,视觉引导的运动反馈涉及更高层次的认知功能网络而非初级运动网络。对内部和外部环境的动态监测以及多感官整合可能是其机制。本研究是我们之前对脑功能结构进行的区域特异性和静态样式研究的扩展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd0/4564637/04dc7e229783/BMRI2015-824710.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd0/4564637/0f9b66de753b/BMRI2015-824710.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd0/4564637/e6003c7f21e6/BMRI2015-824710.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd0/4564637/fee0d732190d/BMRI2015-824710.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd0/4564637/908a29e56a3e/BMRI2015-824710.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd0/4564637/3c8bd587324d/BMRI2015-824710.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd0/4564637/04dc7e229783/BMRI2015-824710.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd0/4564637/0f9b66de753b/BMRI2015-824710.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd0/4564637/e6003c7f21e6/BMRI2015-824710.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd0/4564637/fee0d732190d/BMRI2015-824710.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd0/4564637/908a29e56a3e/BMRI2015-824710.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd0/4564637/3c8bd587324d/BMRI2015-824710.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7fd0/4564637/04dc7e229783/BMRI2015-824710.006.jpg

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本文引用的文献

1
Decomposition of spontaneous brain activity into distinct fMRI co-activation patterns.自发脑活动的 fMRI 同步激活模式分解。
Front Syst Neurosci. 2013 Dec 4;7:101. doi: 10.3389/fnsys.2013.00101. eCollection 2013.
2
Dynamic cooperation and competition between brain systems during cognitive control.大脑系统在认知控制过程中的动态合作与竞争。
Trends Cogn Sci. 2013 Oct;17(10):493-501. doi: 10.1016/j.tics.2013.08.006. Epub 2013 Sep 8.
3
Eyes-open/eyes-closed dataset sharing for reproducibility evaluation of resting state fMRI data analysis methods.
Cereb Cortex. 2020 Oct 1;30(11):5626-5638. doi: 10.1093/cercor/bhaa128.
4
Resting-state functional MRI studies on infant brains: A decade of gap-filling efforts.静息态功能磁共振成像在婴儿大脑中的研究:填补空白的十年努力。
Neuroimage. 2019 Jan 15;185:664-684. doi: 10.1016/j.neuroimage.2018.07.004. Epub 2018 Jul 7.
5
Extraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification.从脑灰质和白质中提取动态功能连接以进行 MCI 分类。
Hum Brain Mapp. 2017 Oct;38(10):5019-5034. doi: 10.1002/hbm.23711. Epub 2017 Jun 30.
睁眼/闭眼数据集共享用于重现性评估静息态 fMRI 数据分析方法。
Neuroinformatics. 2013 Oct;11(4):469-76. doi: 10.1007/s12021-013-9187-0.
4
Time-varying functional network information extracted from brief instances of spontaneous brain activity.从短暂的自发脑活动实例中提取的时变功能网络信息。
Proc Natl Acad Sci U S A. 2013 Mar 12;110(11):4392-7. doi: 10.1073/pnas.1216856110. Epub 2013 Feb 25.
5
Low-frequency fluctuation in continuous real-time feedback of finger force: a new paradigm for sustained attention.手指力连续实时反馈中的低频波动:持续注意力的新范例。
Neurosci Bull. 2012 Aug;28(4):456-67. doi: 10.1007/s12264-012-1254-2.
6
Temporally-independent functional modes of spontaneous brain activity.自发脑活动的时间独立功能模式。
Proc Natl Acad Sci U S A. 2012 Feb 21;109(8):3131-6. doi: 10.1073/pnas.1121329109. Epub 2012 Feb 7.
7
Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions.元分析证据表明,一个高级认知控制网络支持各种执行功能。
Cogn Affect Behav Neurosci. 2012 Jun;12(2):241-68. doi: 10.3758/s13415-011-0083-5.
8
Echoes of the brain within the posterior cingulate cortex.后扣带皮层中的脑回声。
J Neurosci. 2012 Jan 4;32(1):215-22. doi: 10.1523/JNEUROSCI.3689-11.2012.
9
Functional network organization of the human brain.人类大脑的功能网络组织。
Neuron. 2011 Nov 17;72(4):665-78. doi: 10.1016/j.neuron.2011.09.006.
10
Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion.功能连接磁共振成像网络中的虚假但系统的相关性源于受试者的运动。
Neuroimage. 2012 Feb 1;59(3):2142-54. doi: 10.1016/j.neuroimage.2011.10.018. Epub 2011 Oct 14.