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本文引用的文献

1
A historical perspective on the evolution of resting-state functional connectivity with MRI.静息态功能磁共振成像中连接性的演化的历史透视。
MAGMA. 2010 Dec;23(5-6):279-88. doi: 10.1007/s10334-010-0230-y. Epub 2010 Nov 16.
2
Resting developments: a review of fMRI post-processing methodologies for spontaneous brain activity.静息态研究进展:静息态 fMRI 数据后处理方法的综述。
MAGMA. 2010 Dec;23(5-6):289-307. doi: 10.1007/s10334-010-0228-5. Epub 2010 Oct 24.
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Breakdown of within- and between-network resting state functional magnetic resonance imaging connectivity during propofol-induced loss of consciousness.异丙酚诱导意识丧失过程中网络内和网络间静息态功能磁共振成像连接的破坏。
Anesthesiology. 2010 Nov;113(5):1038-53. doi: 10.1097/ALN.0b013e3181f697f5.
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Prediction of individual brain maturity using fMRI.利用 fMRI 预测个体大脑成熟度。
Science. 2010 Sep 10;329(5997):1358-61. doi: 10.1126/science.1194144.
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Network modelling methods for FMRI.功能磁共振成像的网络建模方法。
Neuroimage. 2011 Jan 15;54(2):875-91. doi: 10.1016/j.neuroimage.2010.08.063. Epub 2010 Sep 15.
6
Your resting brain CAREs about your risky behavior.静息状态下的大脑会关心你的冒险行为。
PLoS One. 2010 Aug 19;5(8):e12296. doi: 10.1371/journal.pone.0012296.
7
Clinical applications of resting state functional connectivity.静息态功能连接的临床应用。
Front Syst Neurosci. 2010 Jun 17;4:19. doi: 10.3389/fnsys.2010.00019. eCollection 2010.
8
Exploring the brain network: a review on resting-state fMRI functional connectivity.探索大脑网络:静息态 fMRI 功能连接的综述。
Eur Neuropsychopharmacol. 2010 Aug;20(8):519-34. doi: 10.1016/j.euroneuro.2010.03.008. Epub 2010 May 14.
9
Development of functional and structural connectivity within the default mode network in young children.儿童默认模式网络中功能和结构连接的发展。
Neuroimage. 2010 Aug 1;52(1):290-301. doi: 10.1016/j.neuroimage.2010.04.009. Epub 2010 Apr 10.
10
Multi-level bootstrap analysis of stable clusters in resting-state fMRI.静息态 fMRI 中稳定聚类的多级自举分析。
Neuroimage. 2010 Jul 1;51(3):1126-39. doi: 10.1016/j.neuroimage.2010.02.082. Epub 2010 Mar 10.

[静息状态下的大脑功能活动:连接网络]

[Functional cerebral activity in a state of rest: connectivity networks].

作者信息

Proal Erika, Alvarez-Segura Mar, de la Iglesia-Vayá María, Martí-Bonmatí Luis, Castellanos F Xavier

机构信息

Phyllis Green and Randolph Cowen Institute for Pediatric Neuroscience, Child Study Center, NYU School of Medicine, 215 Lexington Ave., New York, NY 10016, USA.

出版信息

Rev Neurol. 2011 Mar 1;52 Suppl 1(0 1):S3-10.

PMID:21365601
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4418791/
Abstract

Functional connectivity can be measured during task-based functional magnetic resonance imaging (fMRI), or in the absence of specific stimuli or tasks. In either case, the study of low frequency fluctuations in the BOLD signal reveals patterns of synchronization which delineate the intrinsic functional architecture of the brain. The scientific community now has available shared resources to accelerate the exploitation of resting state fMRI with the objectives of improving diagnostic methods and leading to better treatments grounded in neuroscience. Fomenting a collaborative scientific culture will accelerate our understanding of the underlying phenonmemna. Recently, the Spanish Resting State Network (SRSN) has joined this collaborative effort by creating a setting to facilitate collaboration among the various neuroscience research groups working in Spanish (http://www.nitrc.org/projects/srsn).

摘要

功能连接性可以在基于任务的功能磁共振成像(fMRI)期间进行测量,也可以在没有特定刺激或任务的情况下进行测量。在任何一种情况下,对血氧水平依赖(BOLD)信号中的低频波动进行研究,都能揭示出同步模式,这些模式描绘了大脑的内在功能结构。科学界现在有了共享资源,以加速对静息态fMRI的利用,目标是改进诊断方法,并基于神经科学实现更好的治疗。培育合作性的科学文化将加速我们对潜在现象的理解。最近,西班牙静息态网络(SRSN)通过创建一个促进西班牙各神经科学研究小组之间合作的平台,加入了这一合作努力(http://www.nitrc.org/projects/srsn)。