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Integrated MEG/EEG and fMRI model based on neural masses.
- Source :
-
IEEE transactions on bio-medical engineering [IEEE Trans Biomed Eng] 2006 Sep; Vol. 53 (9), pp. 1794-801. - Publication Year :
- 2006
-
Abstract
- We introduce a bottom-up model for integrating electroencephalography (EEG) or magnetoencephalography (MEG) with functional magnetic resonance imaging (fMRI). An extended neural mass model is proposed based on the physiological principles of cortical minicolumns and their connections. The fMRI signal is extracted from the proposed neural mass model by introducing a relationship between the stimulus and the neural activity and using the resultant neural activity as input of the extended Balloon model. The proposed model, validated using simulations, is instrumental in evaluating the upcoming combined methods for simultaneous analysis of MEG/EEG and fMRI.
- Subjects :
- Algorithms
Computer Simulation
Evoked Potentials physiology
Humans
Nerve Net physiology
Systems Integration
Brain physiology
Brain Mapping methods
Diagnosis, Computer-Assisted methods
Electroencephalography methods
Magnetic Resonance Imaging methods
Magnetoencephalography methods
Models, Neurological
Subjects
Details
- Language :
- English
- ISSN :
- 0018-9294
- Volume :
- 53
- Issue :
- 9
- Database :
- MEDLINE
- Journal :
- IEEE transactions on bio-medical engineering
- Publication Type :
- Academic Journal
- Accession number :
- 16941835
- Full Text :
- https://doi.org/10.1109/TBME.2006.873748