Electrophysiological Source Imaging: A Noninvasive Window to Brain Dynamics.

IF 12.8 1区 工程技术 Q1 ENGINEERING, BIOMEDICAL Annual Review of Biomedical Engineering Pub Date : 2018-06-04 Epub Date: 2018-03-01 DOI:10.1146/annurev-bioeng-062117-120853
Bin He, Abbas Sohrabpour, Emery Brown, Zhongming Liu
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引用次数: 144

Abstract

Brain activity and connectivity are distributed in the three-dimensional space and evolve in time. It is important to image brain dynamics with high spatial and temporal resolution. Electroencephalography (EEG) and magnetoencephalography (MEG) are noninvasive measurements associated with complex neural activations and interactions that encode brain functions. Electrophysiological source imaging estimates the underlying brain electrical sources from EEG and MEG measurements. It offers increasingly improved spatial resolution and intrinsically high temporal resolution for imaging large-scale brain activity and connectivity on a wide range of timescales. Integration of electrophysiological source imaging and functional magnetic resonance imaging could further enhance spatiotemporal resolution and specificity to an extent that is not attainable with either technique alone. We review methodological developments in electrophysiological source imaging over the past three decades and envision its future advancement into a powerful functional neuroimaging technology for basic and clinical neuroscience applications.

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电生理源成像:脑动力学的无创窗口。
大脑活动和连通性分布在三维空间中,并随时间发展。高时空分辨率的脑动态成像具有重要意义。脑电图(EEG)和脑磁图(MEG)是与复杂的神经激活和编码脑功能的相互作用相关的非侵入性测量。电生理源成像通过脑电图和脑磁图测量来估计潜在的脑电源。它提供了越来越高的空间分辨率和固有的高时间分辨率成像大规模的大脑活动和连接在大范围的时间尺度。电生理源成像和功能磁共振成像的结合可以进一步提高时空分辨率和特异性,这是单独使用任何一种技术都无法达到的。我们回顾了电生理源成像方法在过去三十年中的发展,并展望其未来发展成为基础和临床神经科学应用的强大功能神经成像技术。
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来源期刊
Annual Review of Biomedical Engineering
Annual Review of Biomedical Engineering 工程技术-工程:生物医学
CiteScore
18.80
自引率
0.00%
发文量
14
期刊介绍: Since 1999, the Annual Review of Biomedical Engineering has been capturing major advancements in the expansive realm of biomedical engineering. Encompassing biomechanics, biomaterials, computational genomics and proteomics, tissue engineering, biomonitoring, healthcare engineering, drug delivery, bioelectrical engineering, biochemical engineering, and biomedical imaging, the journal remains a vital resource. The current volume has transitioned from gated to open access through Annual Reviews' Subscribe to Open program, with all articles published under a CC BY license.
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