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Embedding digital chronotherapy into bioelectronic medicines
Biological rhythms pervade physiology and pathophysiology across multiple timescales. Because of the limited sensing and algorithm capabilities of neuromodulation device technology to-date, insight into the influence of these rhythms on the efficacy of bioelectronic medicine has been infeasible. As...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933700/ https://www.ncbi.nlm.nih.gov/pubmed/35313697 http://dx.doi.org/10.1016/j.isci.2022.104028 |
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author | Fleming, John E. Kremen, Vaclav Gilron, Ro'ee Gregg, Nicholas M. Zamora, Mayela Dijk, Derk-Jan Starr, Philip A. Worrell, Gregory A. Little, Simon Denison, Timothy J. |
author_facet | Fleming, John E. Kremen, Vaclav Gilron, Ro'ee Gregg, Nicholas M. Zamora, Mayela Dijk, Derk-Jan Starr, Philip A. Worrell, Gregory A. Little, Simon Denison, Timothy J. |
author_sort | Fleming, John E. |
collection | PubMed |
description | Biological rhythms pervade physiology and pathophysiology across multiple timescales. Because of the limited sensing and algorithm capabilities of neuromodulation device technology to-date, insight into the influence of these rhythms on the efficacy of bioelectronic medicine has been infeasible. As the development of new devices begins to mitigate previous technology limitations, we propose that future devices should integrate chronobiological considerations in their control structures to maximize the benefits of neuromodulation therapy. We motivate this proposition with preliminary longitudinal data recorded from patients with Parkinson's disease and epilepsy during deep brain stimulation therapy, where periodic symptom biomarkers are synchronized to sub-daily, daily, and longer timescale rhythms. We suggest a physiological control structure for future bioelectronic devices that incorporates time-based adaptation of stimulation control, locked to patient-specific biological rhythms, as an adjunct to classical control methods and illustrate the concept with initial results from three of our recent case studies using chronotherapy-enabled prototypes. |
format | Online Article Text |
id | pubmed-8933700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-89337002022-03-20 Embedding digital chronotherapy into bioelectronic medicines Fleming, John E. Kremen, Vaclav Gilron, Ro'ee Gregg, Nicholas M. Zamora, Mayela Dijk, Derk-Jan Starr, Philip A. Worrell, Gregory A. Little, Simon Denison, Timothy J. iScience Perspective Biological rhythms pervade physiology and pathophysiology across multiple timescales. Because of the limited sensing and algorithm capabilities of neuromodulation device technology to-date, insight into the influence of these rhythms on the efficacy of bioelectronic medicine has been infeasible. As the development of new devices begins to mitigate previous technology limitations, we propose that future devices should integrate chronobiological considerations in their control structures to maximize the benefits of neuromodulation therapy. We motivate this proposition with preliminary longitudinal data recorded from patients with Parkinson's disease and epilepsy during deep brain stimulation therapy, where periodic symptom biomarkers are synchronized to sub-daily, daily, and longer timescale rhythms. We suggest a physiological control structure for future bioelectronic devices that incorporates time-based adaptation of stimulation control, locked to patient-specific biological rhythms, as an adjunct to classical control methods and illustrate the concept with initial results from three of our recent case studies using chronotherapy-enabled prototypes. Elsevier 2022-03-04 /pmc/articles/PMC8933700/ /pubmed/35313697 http://dx.doi.org/10.1016/j.isci.2022.104028 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Perspective Fleming, John E. Kremen, Vaclav Gilron, Ro'ee Gregg, Nicholas M. Zamora, Mayela Dijk, Derk-Jan Starr, Philip A. Worrell, Gregory A. Little, Simon Denison, Timothy J. Embedding digital chronotherapy into bioelectronic medicines |
title | Embedding digital chronotherapy into bioelectronic medicines |
title_full | Embedding digital chronotherapy into bioelectronic medicines |
title_fullStr | Embedding digital chronotherapy into bioelectronic medicines |
title_full_unstemmed | Embedding digital chronotherapy into bioelectronic medicines |
title_short | Embedding digital chronotherapy into bioelectronic medicines |
title_sort | embedding digital chronotherapy into bioelectronic medicines |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933700/ https://www.ncbi.nlm.nih.gov/pubmed/35313697 http://dx.doi.org/10.1016/j.isci.2022.104028 |
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