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ORIGINAL RESEARCH article

Front. Hum. Neurosci.
Sec. Brain-Computer Interfaces
Volume 19 - 2025 | doi: 10.3389/fnhum.2025.1544397

Neural Signal Analysis in Chronic Stroke: Advancing Intracortical Brain-Computer Interface Design

Provisionally accepted
Nabila Shawki Nabila Shawki 1Alessandro Napoli Alessandro Napoli 1Carlos E Vargas-Irwin Carlos E Vargas-Irwin 2Christopher Thompson Christopher Thompson 3John P. Donoghue John P. Donoghue 2Mijail Demian Serruya Mijail Demian Serruya 1*
  • 1 Raphael Center for Neurorestoration, Thomas Jefferson University, Philadelphia, United States
  • 2 Department of Neuroscience, Brown University, Providence, Rhode Island, United States
  • 3 Department of Health and Rehabilitation Sciences, Temple University, Philadelphia, Pennsylvania, United States

The final, formatted version of the article will be published soon.

    Intracortical Brain-computer interfaces (iBCIs) are a promising technology to restore function after stroke. It remains unclear whether iBCIs will be able to use the signals available in the neocortex overlying stroke affecting the underlying white matter and basal ganglia. Here, we decoded both local field potentials (LFPs) and spikes recorded from intracortical electrode arrays in a person with chronic cerebral subcortical stroke. Analysis of these neural signals provides an opportunity to explore the electrophysiological activities of a stroke affected brain and inform the design of medical devices that could restore function.

    Keywords: Intracortical brain-computer interfaces, neurotechnology, motor control restoration, Stroke, neuroprosthetic, Neurorehabilitation, microelectrode array, Neuromodulation

    Received: 12 Dec 2024; Accepted: 05 Feb 2025.

    Copyright: © 2025 Shawki, Napoli, Vargas-Irwin, Thompson, Donoghue and Serruya. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Mijail Demian Serruya, Raphael Center for Neurorestoration, Thomas Jefferson University, Philadelphia, United States

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.