The effect of ionic diffusion on extracellular potentials in neural tissue
Geir Halnes, Tuomo M\"aki-Marttunen, Daniel Keller, Klas H. Pettersen,, Gaute T. Einevoll

TL;DR
This paper introduces a new formalism to model ion concentration dynamics and extracellular potentials, revealing that diffusive currents significantly impact ECS potentials during intense neural activity, challenging previous assumptions.
Contribution
The authors develop a novel formalism for computing ion concentration changes and extracellular potentials, demonstrating the importance of diffusive currents in neural tissue simulations.
Findings
Diffusive currents can match Ohmic currents during intense neural activity.
Local ECS ion concentrations can change by several mM over 84 seconds.
Diffusive currents induce potential changes of a few tens of mV, affecting neural signals.
Abstract
In computational neuroscience, it is common to use the simplifying assumption that diffusive currents are negligible compared to Ohmic currents. However, endured periods of intense neural signaling may cause local ion concentration changes in the millimolar range. Theoretical studies have identified scenarios where steep concentration gradients give rise to diffusive currents that are of comparable magnitude with Ohmic currents, and where the simplifying assumption that diffusion can be neglected does not hold. We here propose a novel formalism for computing (1) the ion concentration dynamics and (2) the electrical potential in the extracellular space surrounding multi-compartmental neuron models or networks of such (e.g., the Blue-Brain simulator). We use this formalism to explore the effects that diffusive currents can have on the extracellular (ECS) potential surrounding a small…
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