Modern Methods for Interrogating the Human Connectome

被引:21
作者
Lowe, Mark J. [1 ]
Sakaie, Ken E. [1 ]
Beall, Erik B. [1 ]
Calhoun, Vince D. [2 ,3 ]
Bridwell, David A. [2 ,3 ]
Rubinov, Mikail [4 ]
Rao, Stephen M. [5 ]
机构
[1] Cleveland Clin, Imaging Inst, Cleveland, OH 44195 USA
[2] Mind Res Network, Albuquerque, NM USA
[3] Univ New Mexico, Dept ECE, Albuquerque, NM 87131 USA
[4] Univ Cambridge, Dept Psychiat, Cambridge, England
[5] Cleveland Clin, Neurol Inst, Cleveland, OH 44195 USA
基金
美国国家科学基金会;
关键词
Human connectome; Resting state fMRI; Diffusion MRI; EEG/MEG coherence; Complex network analysis; Independent components analysis; INDEPENDENT COMPONENT ANALYSIS; FUNCTIONAL CONNECTIVITY PATTERNS; LOW-FREQUENCY OSCILLATIONS; AXON DIAMETER DISTRIBUTION; DEFAULT MODE; FMRI DATA; DISCONNECTION SYNDROMES; ACTIVITY FLUCTUATIONS; PHYSIOLOGICAL NOISE; BRAIN CONNECTIVITY;
D O I
10.1017/S1355617716000060
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objectives: Connectionist theories of brain function took hold with the seminal contributions of Norman Geschwind a half century ago. Modern neuroimaging techniques have expanded the scientific interest in the study of brain connectivity to include the intact as well as disordered brain. Methods: In this review, we describe the most common techniques used to measure functional and structural connectivity, including resting state functional MRI, diffusion MRI, and electroencephalography and magnetoencephalography coherence. We also review the most common analytical approaches used for examining brain interconnectivity associated with these various imaging methods. Results: This review presents a critical analysis of the assumptions, as well as methodological limitations, of each imaging and analysis approach. Conclusions: The overall goal of this review is to provide the reader with an introduction to evaluating the scientific methods underlying investigations that probe the human connectome.
引用
收藏
页码:105 / 119
页数:15
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