NeuroGrid (PEDOT:PSS surface array)
NeuroGrid (PEDOT:PSS surface array)
One-line verdict: A surface array dense and thin enough to isolate putative single neurons without penetrating the brain, shown in rats and intraoperatively in epilepsy patients.
Quick tags: Recording · Cortical surface · Species: Rat, human (intraoperative) · Published: 2015
Overview
What it is: An ultra-conformable electrode array built on an organic material (PEDOT:PSS) as the interface. Neuron-sized sites sit close together, so a spike seen on several neighboring sites can be used to isolate a putative single neuron from the surface.
Why it matters: It challenges the usual split between surface arrays (field potentials, no spikes) and penetrating arrays (spikes, tissue damage).
Status: Research tool. The paper reports rat recordings, with spiking activity showing consistent phase modulation for more than a week, and intraoperative recordings in patients undergoing epilepsy surgery.
Spec Card Grid
Identity
- Authors: Dion Khodagholy, Jennifer N. Gelinas, Thomas Thesen, Werner Doyle, Orrin Devinsky, George G. Malliaras, György Buzsáki
- Published: Nature Neuroscience 18:310-315, 2015
- Species: rat; human (intraoperative)
Geometry & Architecture
- Site size: 10 × 10 µm
- Inter-electrode spacing: 30 µm
- Film thickness: 4 µm
- Interface material: PEDOT:PSS
- Channel count: a 256-channel and a 64-channel version appear in the paper’s supplementary figures
Evidence and limits
- Rat: putative single-neuron isolation from the surface; phase-modulated spiking stable over more than one week
- Human: LFP-modulated spiking recorded intraoperatively
- Not shown: chronic human implantation
Engineering Verdict
Strengths: conforms to curved cortex, no penetration, neuron-scale site density.
Limitations: single-unit isolation relies on spikes being visible on neighboring sites, so it depends on the array lying flat against the surface; chronic human data not reported in this paper.
References
- Khodagholy D, Gelinas JN, Thesen T, et al. NeuroGrid: recording action potentials from the surface of the brain. Nat Neurosci. 2015;18:310-315. https://www.nature.com/articles/nn.3905