Spatial Resolution Improvement of EEG Source Reconstruction Using swLORETA
| Autor: | Jihene Boughariou, M. Ben Slima, Wassim Zouch, A. Ben Hamida, N. Jallouli |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Computer science
Models Neurological Biomedical Engineering Pharmaceutical Science Medicine (miscellaneous) Bioengineering Electroencephalography Brain mapping Sensitivity and Specificity Imaging Three-Dimensional Spatio-Temporal Analysis Singular value decomposition Image Interpretation Computer-Assisted medicine Humans Computer vision Computer Simulation Electrical and Electronic Engineering Image resolution Brain Mapping Modality (human–computer interaction) Models Statistical medicine.diagnostic_test business.industry Brain Reproducibility of Results Magnetic resonance imaging Inverse problem Computer Science Applications Weighting Artificial intelligence Nerve Net business Algorithms Biotechnology |
| Zdroj: | IEEE transactions on nanobioscience. 14(7) |
| ISSN: | 1558-2639 |
| Popis: | Electroencephalography (EEG) and magnetic resonance imaging (MRI) are noninvasive neuro-imaging modalities largely used in neurology explorations. MRI is considered as a static modality and could be so important for anatomy by its high spatial resolution. EEG, on the other hand, is an important tool permitting to image temporal dynamic activities of the human brain. Fusion of these two essential modalities would be hence a so emerging research domain targeting to explore brain activities with the MRI static modality. Our present research investigates a sophisticated approach for localization of the cerebral activity that could be involved by the dynamic EEG modality and carefully illustrated within MRI static modality. Such careful cerebral activity localization would be first based on an advanced methodology yielding therefore a singular value decomposition-based lead field weighting to sLORETA method formalism, for solving in fact the inverse problem in the EEG. The conceived method for source localization, carried out on different cases of simulated dipoles experiments, showed satisfactory results. Different cases of simulated dipoles experiments and metrics were used to confirm the reliability of the proposed method. The experimental results confirm that our method presents a flexible and robust tool for EEG source imaging. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|