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Modeling and percept of transcorneal electrical stimulation in humans
- Source :
- IEEE Transactions on Biomedical Engineering. 58:1932-1939
- Publication Year :
- 2011
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2011.
-
Abstract
- Retinal activation via transcorneal electrical stimulation (TcES) in normal humans was investigated by comparing subject perception, model predictions, and brain activation patterns. The preferential location of retinal stimulation was predicted from 3-D admittance modeling. Visual cortex activation was measured using positron emission tomography (PET) and (18)F-fluorodeoxyglucose (FDG). Two different corneal electrodes were investigated: DTL-Plus and ERG-Jet. Modeling results predicted preferential stimulation of the peripheral, inferior, nasal retina during right eye TcES using DTL-Plus, but more extensive activation of peripheral, nasal hemiretina using ERG-Jet. The results from human FDG PET study using both corneal electrodes showed areas of visual cortex activation that consistently corresponded with the reported phosphene percept and modeling predictions. ERG-Jet was able to generate brighter phosphene percept than DTL-Plus and elicited retinotopically mapped primary visual cortex activation. This study demonstrates that admittance modeling and PET imaging consistently predict the perceived location of electrically elicited phosphenes produced during TcES.
- Subjects :
- Adult
Male
Visual perception
genetic structures
Phosphenes
Biomedical Engineering
Electric Stimulation Therapy
Stimulation
Prosthesis Design
Models, Biological
Retina
Cornea
chemistry.chemical_compound
Fluorodeoxyglucose F18
medicine
Humans
Visual Cortex
medicine.diagnostic_test
Chemistry
Retinal
Middle Aged
Magnetic Resonance Imaging
eye diseases
Electrodes, Implanted
Visual cortex
medicine.anatomical_structure
Phosphene
Positron-Emission Tomography
Computer-Aided Design
sense organs
Percept
Neuroscience
Electroretinography
Subjects
Details
- ISSN :
- 15582531 and 00189294
- Volume :
- 58
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Biomedical Engineering
- Accession number :
- edsair.doi.dedup.....3b0cd3d65634e035b8f87b73739a386d