title: Determination of current density distributions generated by electrical stimulation of the human cerebral cortex.
abstract: With the use of a 3-dimensional finite element model of the human brain based on structural data from MRI scans, we simulated patterns of current flow in the cerebral hemisphere with different types of electrical stimulation. Five different tissue types were incorporated into the model based on conductivities taken from the literature. The boundary value problem derived from Laplace's equation was solved with a quasi-static approximation. Transcranial electrical stimulation with scalp electrodes was poorly focussed and required high levels of current for stimulation of the cortex. Direct cortical stimulation with bipolar (adjacent) electrodes was found to be very effective in producing localized current flows. Unipolar cortical stimulation (with a more distant reference electrode) produced higher current densities at the same stimulating current as did bipolar stimulation, but stimulated a larger region of the cortex. With the simulated electrodes resting on the pia-arachnoid, as usually occurs clinically, there was significant shunting of the current (7/8 of the total current) through the CSF. Possible changes in electrodes and stimulation parameters that might improve stimulation procedures are considered.
authors.affiliation: Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205.
authors.forename: S S
authors.initials: SS
authors.lastname: Nathan
authors.forename: S R
authors.initials: SR
authors.lastname: Sinha
authors.forename: B
authors.initials: B
authors.lastname: Gordon
authors.forename: R P
authors.initials: RP
authors.lastname: Lesser
authors.forename: N V
authors.initials: NV
authors.lastname: Thakor
mesh_terms: D002540:Cerebral Cortex / Q000502:physiology*; D002555:Cerebrospinal Fluid / Q000502:physiology; D017097:Electric Impedance; D004558:Electric Stimulation; D004560:Electricity; D004566:Electrodes; D004867:Equipment Design; D006801:Humans; D008279:Magnetic Resonance Imaging; D008959:Models, Neurological; D009431:Neural Conduction / Q000502:physiology; D012016:Reference Values