An initial machine learning model applied to local field potential data from the subthalamic nucleus to detect freezing of gait in Parkinson’s disease
- DOI
- 10.3389/fneur.2026.1793291
- Published
- 2026-05-19
- Container
- Frontiers in Neurology
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fneur.2026.1793291,
title = {An initial machine learning model applied to local field potential data from the subthalamic nucleus to detect freezing of gait in Parkinson’s disease},
author = {Jay L. Alberts and Paul Cantlay and Anson B. Rosenfeldt and Christina Felix and Colin Waltz and Andrew S. Bazyk and Visar Berki and Nitesh Malan and Sean Nagel and Benjamin Walter and James Liao and David Escobar and Kenneth B. Baker and Mandy Miller Koop},
year = {2026},
journal = {Frontiers in Neurology},
doi = {10.3389/fneur.2026.1793291},
url = {https://doi.org/10.3389/fneur.2026.1793291}
}RIS
TY - JOUR TI - An initial machine learning model applied to local field potential data from the subthalamic nucleus to detect freezing of gait in Parkinson’s disease AU - Jay L. Alberts AU - Paul Cantlay AU - Anson B. Rosenfeldt AU - Christina Felix AU - Colin Waltz AU - Andrew S. Bazyk AU - Visar Berki AU - Nitesh Malan AU - Sean Nagel AU - Benjamin Walter AU - James Liao AU - David Escobar AU - Kenneth B. Baker AU - Mandy Miller Koop PY - 2026 JO - Frontiers in Neurology DO - 10.3389/fneur.2026.1793291 UR - https://doi.org/10.3389/fneur.2026.1793291 ER -
APA
Alberts, J. L., Cantlay, P., Rosenfeldt, A. B., Felix, C., Waltz, C., Bazyk, A. S., Berki, V., Malan, N., Nagel, S., Walter, B., Liao, J., Escobar, D., Baker, K. B., & Koop, M. M. (2026). An initial machine learning model applied to local field potential data from the subthalamic nucleus to detect freezing of gait in Parkinson’s disease. Frontiers in Neurology. https://doi.org/10.3389/fneur.2026.1793291
Source records
- crossref · retrieved 2026-09-26T03:26:50.911Z