Cited by 149Neuroscience and Neural EngineeringEEG and Brain-Computer InterfacesNeural dynamics and brain function

Intracortical recording stability in human brain–computer interface users

Open access
Downey, John E, Schwed, Nathaniel, Chase, Steven M, Schwartz, Andrew B, Collinger, Jennifer L·2018·Journal of Neural Engineering

Abstract

Objective . Intracortical brain–computer interfaces (BCIs) are being developed to assist people with motor disabilities in communicating and interacting with the world around them. This technology relies on recordings from the primary motor cortex, which may vary from day to day. Approach . Here we quantify, in two long-term BCI subjects, the length of time that action potentials from the same neuron, or group of neurons, can be recorded from the motor cortex. Main results . These action potentials are identified by their extracellular waveforms and may change within a single day, although some of these identified units can be identified consistently for weeks and even months. Features of the extracellular waveforms allowed us to predict whether a specific unit was more or less likely to remain stable over a prolonged period. Significance . A greater understanding of unit stability and instability can aid the development of motor BCIs, where the goal is to maintain a high level of performance despite changes in the recorded population. BCIs should be able to be operated without technician intervention for hours, and hopefully days, to provide the most benefit to the end-users of this technology.

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  1. Blumberg J, Rickert J, Waldert S, Schulze-Bonhage A, Aertsen A and Mehring C 2007 Adaptive classification for brain computer interfaces Annu. Int. Conf. IEEE Eng. Med. Biol.-Proc. pp 2536-9

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Authors
Downey, J. E., Schwed, N., Chase, S. M., Schwartz, A. B., & Collinger, J. L.
Affiliations
  • University of Pittsburgh (US)
  • Center for the Neural Basis of Cognition (US)
Corresponding author
Collinger, Jennifer L
Venue
Journal of Neural Engineering
Published
2018-05-15
Volume
15
Issue
4
Pages
046016
ISSN
  • 1741-2552 (ISSN-L)
  • 1741-2560
OpenAlex
W2790078435
Cited by
149
References
62
Citations by year
2026: 16 · 2025: 22 · 2024: 20 · 2023: 20 · 2022: 13 · 2021: 20 · 2020: 20 · 2019: 12 · 2018: 6
FWCI
6.60
Type
journal article
Language
en
Open access
Locations
  • Journal of Neural Engineering (publishedVersion)
  • PubMed (publishedVersion)
Funders
Defense Advanced Research Projects Agency (Contract N66001-10-C-4056)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
intracortical brain-computer interfaces, primary motor cortex, extracellular action potentials, long-term recording, motor impairment
MeSH terms
Action Potentials, Adult, Electrodes, Implanted, Electroencephalography, Female, Humans, Male, Microelectrodes, Middle Aged, Motor Cortex, Quadriplegia, Brain-Computer Interfaces

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