OBJECTIVE: The objective of this paper is to present a concrete application of the cellular composite model for calculating the membrane potential, described in an accompanying paper. APPROACH: A composite model that is used to determine the membrane potential for both longitudinal and transverse modes of stimulation is demonstrated. MAIN RESULTS: Two extreme limits of the model, near-field and far-field for an electrode close to or distant from a neuron, respectively, are derived in this paper. Results for typical neural tissue are compared using the composite, near-field and far-field models as well as the standard isotropic volume conductor model. The self-consistency of the composite model, its spatial profile response and the extracellular potential time behaviour are presented. The magnitudes of the longitudinal and transverse components for different values of electrode-neurite separations are compared. SIGNIFICANCE: The unique features of the composite model and its simplified versions can be used to accurately estimate the spatio-temporal response of neural tissue to extracellular electrical stimulation.
OBJECTIVE: The objective of this paper is to present a concrete application of the cellular composite model for calculating the membrane potential, described in an accompanying paper. APPROACH: A composite model that is used to determine the membrane potential for both longitudinal and transverse modes of stimulation is demonstrated. MAIN RESULTS: Two extreme limits of the model, near-field and far-field for an electrode close to or distant from a neuron, respectively, are derived in this paper. Results for typical neural tissue are compared using the composite, near-field and far-field models as well as the standard isotropic volume conductor model. The self-consistency of the composite model, its spatial profile response and the extracellular potential time behaviour are presented. The magnitudes of the longitudinal and transverse components for different values of electrode-neurite separations are compared. SIGNIFICANCE: The unique features of the composite model and its simplified versions can be used to accurately estimate the spatio-temporal response of neural tissue to extracellular electrical stimulation.
Authors: Breanne Christie; Roksana Sadeghi; Arathy Kartha; Avi Caspi; Francesco V Tenore; Roberta L Klatzky; Gislin Dagnelie; Seth Billings Journal: J Neural Eng Date: 2022-06-09 Impact factor: 5.043
Authors: Timothy B Esler; Robert R Kerr; Bahman Tahayori; David B Grayden; Hamish Meffin; Anthony N Burkitt Journal: PLoS One Date: 2018-03-01 Impact factor: 3.240
Authors: Michael Beyeler; Devyani Nanduri; James D Weiland; Ariel Rokem; Geoffrey M Boynton; Ione Fine Journal: Sci Rep Date: 2019-06-24 Impact factor: 4.379