| Full text | |
| Author(s): |
Ivan Rubianes Silva, Jose Angel
;
Suarez Burgos, Fabio Enrique
;
Wu Shin-Ting
;
IEEE
Total Authors: 4
|
| Document type: | Journal article |
| Source: | 2016 29TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI); v. N/A, p. 8-pg., 2016-01-01. |
| Abstract | |
Electroencephalogram (EEG) is a method that records electrical activities of the brain. Reliable interpretation of its measurements rely on accurate correspondence of the scalp electrodes and the underlying cortical surface. To standardize comparative studies international 10/20, 10/10 and 10/5 systems for the placement of electrodes have been proposed to specify the locations of scalp EEG sensors under the assumption that there is a consistent correlation between these sites and the structure of the cerebral cortex. However, several studies have demonstrated that the cranio-cerebral correlations vary greatly. For enhancing the electrophysiological analyses, an algorithm is presented in this paper, allowing the multimodal visualization of EEG and magnetic resonance scan in the patient's native space. The key to our solution is twofold: an interactive imagebased electrode placement algorithm and an extended GPU-based multimodal raycasting algorithm. Experimental results show that with the present tool one can easily assess the cranio-cerebral correspondences even when the brain tissue is displaced by structural lesions. (AU) | |
| FAPESP's process: | 13/07559-3 - BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology |
| Grantee: | Fernando Cendes |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |