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The contribution of electrophysiology to functional connectivity mapping
被引:67
|作者:
Schoelvinck, Marieke L.
[1
]
Leopold, David A.
[2
,3
]
Brookes, Matthew J.
[4
]
Khader, Patrick H.
[5
]
机构:
[1] Max Planck Gesell, Ernst Strungmann Inst ESI Neurosci, D-60528 Frankfurt, Germany
[2] NIMH, Sect Cognit Neurophysiol & Imaging, Neuropsychol Lab, NIH,Dept Hlth & Human Serv, Bethesda, MD 20892 USA
[3] NEI, Neurophysiol Imaging Facil, NIMH, NINDS,NIH,Dept Hlth & Human Serv, Bethesda, MD 20892 USA
[4] Univ Nottingham, Sch Phys & Astron, Sir Peter Mansfield Magnet Resonance Ctr, Nottingham NG7 2RD, England
[5] Univ Munich, Dept Psychol, D-80802 Munich, Germany
来源:
关键词:
PRIMARY VISUAL-CORTEX;
RESTING-STATE FMRI;
SPONTANEOUS BRAIN ACTIVITY;
SLOW CORTICAL POTENTIALS;
INDEPENDENT COMPONENT ANALYSIS;
ONGOING ACTIVITY FLUCTUATIONS;
BOLD HEMODYNAMIC-RESPONSES;
DEFAULT-MODE NETWORK;
NEURAL ACTIVITY;
STRUCTURAL CONNECTIVITY;
D O I:
10.1016/j.neuroimage.2013.04.010
中图分类号:
Q189 [神经科学];
学科分类号:
071006 ;
摘要:
A powerful way to probe brain function is to assess the relationship between simultaneous changes in activity across different parts of the brain. In recent years, the temporal activity correlation between brain areas has frequently been taken as a measure of their functional connections. Evaluating 'functional connectivity' in this way is particularly popular in the fMRI community, but has also drawn interest among electrophysiologists. Like hemodynamic fluctuations observed with fMRI, electrophysiological signals display significant temporal fluctuations, even in the absence of a stimulus. These neural fluctuations exhibit a correlational structure over a wide range of spatial and temporal scales. Initial evidence suggests that certain aspects of this correlational structure bear a high correspondence to so-called functional networks defined using fMRI. The growing family of methods to study activity covariation, combined with the diverse neural mechanisms that contribute to the spontaneous fluctuations, has somewhat blurred the operational concept of functional connectivity. What is clear is that spontaneous activity is a conspicuous, energy-consuming feature of the brain. Given its prominence and its practical applications for the functional connectivity mapping of brain networks, it is of increasing importance that we understand its neural origins as well as its contribution to normal brain function. (C) 2013 Elsevier Inc. All rights reserved.
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页码:297 / 306
页数:10
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