Reprint of "Non-causal spike filtering improves decoding of movement intention for intracortical BCIs".

Autor: Masse NY; Department of Neuroscience, Brown University, Providence, RI, USA; Brown Institute for Brain Science, Brown University, Providence, RI, USA. Electronic address: masse@uchicago.edu., Jarosiewicz B; Department of Neuroscience, Brown University, Providence, RI, USA; Brown Institute for Brain Science, Brown University, Providence, RI, USA; Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of Veterans Affairs Medical Center, Providence, RI, USA., Simeral JD; Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of Veterans Affairs Medical Center, Providence, RI, USA; School of Engineering, Brown University, Providence, RI, USA; Brown Institute for Brain Science, Brown University, Providence, RI, USA., Bacher D; School of Engineering, Brown University, Providence, RI, USA; Brown Institute for Brain Science, Brown University, Providence, RI, USA., Stavisky SD; School of Engineering, Brown University, Providence, RI, USA., Cash SS; Neurology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA., Oakley EM; Neurology, Massachusetts General Hospital, Boston, MA, USA., Berhanu E; Neurology, Massachusetts General Hospital, Boston, MA, USA., Eskandar E; Neurosurgery, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA., Friehs G; Neurosurgery, Massachusetts General Hospital, Boston, MA, USA., Hochberg LR; Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of Veterans Affairs Medical Center, Providence, RI, USA; School of Engineering, Brown University, Providence, RI, USA; Brown Institute for Brain Science, Brown University, Providence, RI, USA; Neurology, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA., Donoghue JP; Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of Veterans Affairs Medical Center, Providence, RI, USA; Department of Neuroscience, Brown University, Providence, RI, USA; Brown Institute for Brain Science, Brown University, Providence, RI, USA.
Jazyk: angličtina
Zdroj: Journal of neuroscience methods [J Neurosci Methods] 2015 Apr 15; Vol. 244, pp. 94-103. Date of Electronic Publication: 2015 Feb 11.
DOI: 10.1016/j.jneumeth.2015.02.001
Abstrakt: Background: Multiple types of neural signals are available for controlling assistive devices through brain-computer interfaces (BCIs). Intracortically recorded spiking neural signals are attractive for BCIs because they can in principle provide greater fidelity of encoded information compared to electrocorticographic (ECoG) signals and electroencephalograms (EEGs). Recent reports show that the information content of these spiking neural signals can be reliably extracted simply by causally band-pass filtering the recorded extracellular voltage signals and then applying a spike detection threshold, without relying on "sorting" action potentials.
New Method: We show that replacing the causal filter with an equivalent non-causal filter increases the information content extracted from the extracellular spiking signal and improves decoding of intended movement direction. This method can be used for real-time BCI applications by using a 4ms lag between recording and filtering neural signals.
Results: Across 18 sessions from two people with tetraplegia enrolled in the BrainGate2 pilot clinical trial, we found that threshold crossing events extracted using this non-causal filtering method were significantly more informative of each participant's intended cursor kinematics compared to threshold crossing events derived from causally filtered signals. This new method decreased the mean angular error between the intended and decoded cursor direction by 9.7° for participant S3, who was implanted 5.4 years prior to this study, and by 3.5° for participant T2, who was implanted 3 months prior to this study.
Conclusions: Non-causally filtering neural signals prior to extracting threshold crossing events may be a simple yet effective way to condition intracortically recorded neural activity for direct control of external devices through BCIs.
(Copyright © 2015. Published by Elsevier B.V.)
Databáze: MEDLINE
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