Three-dimensional imaging of complex neural activation in humans from EEG
UMass Chan Affiliations
Department of PsychiatryDocument Type
Journal ArticlePublication Date
2009-08-01Keywords
AlgorithmsBrain
Brain Mapping
Electroencephalography
Evoked Potentials, Visual
Female
Humans
Imaging, Three-Dimensional
Magnetic Resonance Imaging
Male
*Models, Neurological
Visual Cortex
Psychiatry
Metadata
Show full item recordAbstract
Electro- or magnetoencephalography (EEG/MEG) are of utmost advantage in studying transient neuronal activity and its timing with respect to behavior in the working human brain. Direct localization of the neural substrates underlying EEG/MEG is commonly achieved by modeling neuronal activity as dipoles. However, the success of neural source localization with the dipole model has only been demonstrated in relatively simple localization tasks owing to the simplified model and its insufficiency in differentiating cortical sources with different extents. It would be of great interest to image complex neural activation with multiple sources of different cortical extensions directly from EEG/MEG. We have investigated this crucial issue by adding additional parameters to the dipole model, leading to the multipole model to better represent the extended sources confined to the convoluted cortical surface. The localization of multiple cortical sources is achieved by using the subspace source localization method with the multipole model. Its performance is evaluated with simulated data as compared with the dipole model, and further illustrated with the real data obtained during visual stimulations in human subjects. The interpretation of the localization results is fully supported by our knowledge about their anatomic locations and functional magnetic resonance imaging data in the same experimental setting. Methods for estimating multiple neuronal sources at cortical areas will facilitate our ability to characterize the cortical electrical activity from simple, early sensory components to more complex networks, such as in visual, motor, and cognitive tasks.Source
IEEE Trans Biomed Eng. 2009 Aug;56(8):1980-8. Epub 2009 Apr 28. Link to article on publisher's siteDOI
10.1109/TBME.2009.2020438Permanent Link to this Item
http://hdl.handle.net/20.500.14038/45980PubMed ID
19403362Related Resources
Link to Article in PubMedae974a485f413a2113503eed53cd6c53
10.1109/TBME.2009.2020438