Electrophysiological Source Imaging: A Noninvasive Window to Brain Dynamics
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 neu...
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| Published in | Annual review of biomedical engineering Vol. 20; p. 171 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
04.06.2018
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| Subjects | |
| Online Access | Get more information |
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| 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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| AbstractList | 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. |
| Author | Liu, Zhongming He, Bin Brown, Emery Sohrabpour, Abbas |
| Author_xml | – sequence: 1 givenname: Bin surname: He fullname: He, Bin email: bhe1@andrew.cmu.edu organization: Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, USA – sequence: 2 givenname: Abbas surname: Sohrabpour fullname: Sohrabpour, Abbas organization: Department of Biomedical Engineering, University of Minnesota, Minneapolis, Minnesota 55455, USA – sequence: 3 givenname: Emery surname: Brown fullname: Brown, Emery organization: Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA – sequence: 4 givenname: Zhongming surname: Liu fullname: Liu, Zhongming organization: Weldon School of Biomedical Engineering, School of Electrical and Computer Engineering, and Purdue Institute of Integrative Neuroscience, Purdue University, West Lafayette, Indiana 47906, USA |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29494213$$D View this record in MEDLINE/PubMed |
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| Title | Electrophysiological Source Imaging: A Noninvasive Window to Brain Dynamics |
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