Functional connectomics from resting-state fMRI

被引：679

作者：

Smith, Stephen M. ^{[1
]}

Vidaurre, Diego ^{[2
]}

Beckmann, Christian F. ^{[1
,3
,4
]}

Glasser, Matthew F. ^{[5
]}

Jenkinson, Mark ^{[1
]}

Miller, Karla L. ^{[1
]}

Nichols, Thomas E. ^{[1
,6
,7
]}

Robinson, Emma C. ^{[1
]}

Salimi-Khorshidi, Gholamreza ^{[1
]}

Woolrich, Mark W. ^{[1
,2
]}

Barch, Deanna M. ^{[5
]}

Ugurbil, Kamil ^{[8
]}

Van Essen, David C. ^{[5
]}

机构：

[1] Univ Oxford, Oxford Ctr Funct MRI Brain FMRIB, Oxford, England

[2] Univ Oxford, Oxford Ctr Human Brain Act OHBA, Oxford, England

[3] Radboud Univ Nijmegen, Donders Inst Brain Cognit & Behav, NL-6525 ED Nijmegen, Netherlands

[4] Univ Twente, MIRA Inst Biomed Technol & Tech Med, NL-7500 AE Enschede, Netherlands

[5] Washington Univ, Sch Med, St Louis, MO USA

[6] Univ Warwick, Dept Stat, Coventry CV4 7AL, W Midlands, England

[7] Univ Warwick, WMG, Coventry CV4 7AL, W Midlands, England

[8] Univ Minnesota, Sch Med, Ctr Magnet Resonance Res, Minneapolis, MN 55455 USA

来源：

TRENDS IN COGNITIVE SCIENCES | 2013年 / 17卷 / 12期

基金：

英国惠康基金;

关键词：

DIFFUSION MRI; INTRINSIC BRAIN; CONNECTIVITY; PARCELLATION; PROJECT; NETWORKS; CORTEX; INFERENCE; DYNAMICS; PROMISE;

D O I：

10.1016/j.tics.2013.09.016

中图分类号：

B84 [心理学]; C [社会科学总论]; Q98 [人类学];

学科分类号：

03 ; 0303 ; 030303 ; 04 ; 0402 ;

摘要：

Spontaneous fluctuations in activity in different parts of the brain can be used to study functional brain networks. We review the use of resting-state functional MRI (rfMRI) for the purpose of mapping the macroscopic functional connectome. After describing MRI acquisition and image-processing methods commonly used to generate data in a form amenable to connectomics network analysis, we discuss different approaches for estimating network structure from that data. Finally, we describe new possibilities resulting from the high-quality rfMRI data being generated by the Human Connectome Project and highlight some upcoming challenges in functional connectomics.

引用

页码：666 / 682

页数：17

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