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Human Brain Mapping with Multi-Thousand Channel PtNRGrids Resolves Novel Spatiotemporal Dynamics

Applied Physics 2021-08-20 v3 Materials Science Biological Physics Medical Physics

Abstract

Electrophysiological devices are critical for mapping eloquent and diseased brain regions and for therapeutic neuromodulation in clinical settings and are extensively utilized for research in brain-machine interfaces. However, the existing devices are often limited in either spatial resolution or cortical coverage, even including those with thousands of channels used in animal experiments. Here, we developed scalable manufacturing processes and dense connectorization to achieve reconfigurable thin-film, multi-thousand channel neurophysiological recording grids using platinum-nanorods (PtNRGrids). With PtNRGrids, we have achieved a multi-thousand channel array of small (30 {\mu}m) contacts with low impedance, providing unparalleled spatial and temporal resolution over a large cortical area. We demonstrate that PtNRGrids can resolve sub-millimeter functional organization of the barrel cortex in anesthetized rats that captured the histochemically-demonstrated structure. In the clinical setting, PtNRGrids resolved fine, complex temporal dynamics from the cortical surface in an awake human patient performing grasping tasks. Additionally, the PtNRGrids identified the spatial spread and dynamics of epileptic discharges in a patient undergoing epilepsy surgery at 1 mm spatial resolution, including activity induced by direct electrical stimulation. Collectively, these findings demonstrate the power of the PtNRGrids to transform clinical mapping and research with brain-machine interfaces and highlights a path toward novel therapeutics.

Keywords

Cite

@article{arxiv.2103.09206,
  title  = {Human Brain Mapping with Multi-Thousand Channel PtNRGrids Resolves Novel Spatiotemporal Dynamics},
  author = {Youngbin Tchoe and Andrew M. Bourhis and Daniel R. Cleary and Brittany Stedelin and Jihwan Lee and Karen J. Tonsfeldt and Erik C. Brown and Dominic Siler and Angelique C. Paulk and Jimmy C. Yang and Hongseok Oh and Yun Goo Ro and Woojin Choi and Keundong Lee and Samantha Russman and Mehran Ganji and Ian Galton and Sharona Ben-Haim and Ahmed M. Raslan and Shadi A. Dayeh},
  journal= {arXiv preprint arXiv:2103.09206},
  year   = {2021}
}

Comments

Main manuscript: 28 pages, 5 figures, Supporting information: 63 pages, 41 figures

R2 v1 2026-06-24T00:14:46.433Z