Case Report: Embedding “Digital Chronotherapy” Into Medical Devices—A Canine Validation for Controlling Status Epilepticus Through Multi-Scale Rhythmic Brain Stimulation

Circadian and other physiological rhythms play a key role in both normal homeostasis and disease processes. Such is the case of circadian and infradian seizure patterns observed in epilepsy. However, these rhythms are not fully exploited in the design of active implantable medical devices. In this p...

Full description

Bibliographic Details
Main Authors: Mayela Zamora, Sebastian Meller, Filip Kajin, James J. Sermon, Robert Toth, Moaad Benjaber, Derk-Jan Dijk, Rafal Bogacz, Gregory A. Worrell, Antonio Valentin, Benoit Duchet, Holger A. Volk, Timothy Denison
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.734265/full
_version_ 1818718015842156544
author Mayela Zamora
Sebastian Meller
Filip Kajin
James J. Sermon
James J. Sermon
Robert Toth
Moaad Benjaber
Moaad Benjaber
Derk-Jan Dijk
Derk-Jan Dijk
Rafal Bogacz
Gregory A. Worrell
Antonio Valentin
Benoit Duchet
Holger A. Volk
Timothy Denison
Timothy Denison
author_facet Mayela Zamora
Sebastian Meller
Filip Kajin
James J. Sermon
James J. Sermon
Robert Toth
Moaad Benjaber
Moaad Benjaber
Derk-Jan Dijk
Derk-Jan Dijk
Rafal Bogacz
Gregory A. Worrell
Antonio Valentin
Benoit Duchet
Holger A. Volk
Timothy Denison
Timothy Denison
author_sort Mayela Zamora
collection DOAJ
description Circadian and other physiological rhythms play a key role in both normal homeostasis and disease processes. Such is the case of circadian and infradian seizure patterns observed in epilepsy. However, these rhythms are not fully exploited in the design of active implantable medical devices. In this paper we explore a new implantable stimulator that implements chronotherapy as a feedforward input to supplement both open-loop and closed-loop methods. This integrated algorithm allows for stimulation to be adjusted to the ultradian, circadian and infradian patterns observed in patients through slowly-varying temporal adjustments of stimulation and algorithm sub-components, while also enabling adaption of stimulation based on immediate physiological needs such as a breakthrough seizure or change of posture. Embedded physiological sensors in the stimulator can be used to refine the baseline stimulation circadian pattern as a “digital zeitgeber,” i.e., a source of stimulus that entrains or synchronizes the subject's natural rhythms. This algorithmic approach is tested on a canine with severe drug-resistant idiopathic generalized epilepsy exhibiting a characteristic diurnal pattern correlated with sleep-wake cycles. Prior to implantation, the canine's cluster seizures evolved to status epilepticus (SE) and required emergency pharmacological intervention. The cranially-mounted system was fully-implanted bilaterally into the centromedian nucleus of the thalamus. Using combinations of time-based modulation, thalamocortical rhythm-specific tuning of frequency parameters as well as fast-adaptive modes based on activity, the canine experienced no further SE events post-implant as of the time of writing (7 months). Importantly, no significant cluster seizures have been observed either, allowing the reduction of rescue medication. The use of digitally-enabled chronotherapy as a feedforward signal to augment adaptive neurostimulators could prove a useful algorithmic method in conditions where sensitivity to temporal patterns are characteristics of the disease state, providing a novel mechanism for tailoring a more patient-specific therapy approach.
first_indexed 2024-12-17T19:44:20Z
format Article
id doaj.art-01ceac76eff94354a975da09d35b3704
institution Directory Open Access Journal
issn 1662-453X
language English
last_indexed 2024-12-17T19:44:20Z
publishDate 2021-09-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Neuroscience
spelling doaj.art-01ceac76eff94354a975da09d35b37042022-12-21T21:34:55ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2021-09-011510.3389/fnins.2021.734265734265Case Report: Embedding “Digital Chronotherapy” Into Medical Devices—A Canine Validation for Controlling Status Epilepticus Through Multi-Scale Rhythmic Brain StimulationMayela Zamora0Sebastian Meller1Filip Kajin2James J. Sermon3James J. Sermon4Robert Toth5Moaad Benjaber6Moaad Benjaber7Derk-Jan Dijk8Derk-Jan Dijk9Rafal Bogacz10Gregory A. Worrell11Antonio Valentin12Benoit Duchet13Holger A. Volk14Timothy Denison15Timothy Denison16Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United KingdomDepartment of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Hanover, GermanyDepartment of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Hanover, GermanyInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United KingdomMRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United KingdomMRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United KingdomInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United KingdomMRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United KingdomSurrey Sleep Research Centre, University of Surrey, Guildford, United KingdomUK Dementia Research Institute, Care Research and Technology Centre, Imperial College London and The University of Surrey, Guildford, United KingdomMRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United KingdomDepartment of Neurology, Mayo Clinic, Rochester, MN, United StatesDepartment of Clinical Neurophysiology, King's College Hospital NHS Trust, London, United KingdomMRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United KingdomDepartment of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Hanover, GermanyInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United KingdomMRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United KingdomCircadian and other physiological rhythms play a key role in both normal homeostasis and disease processes. Such is the case of circadian and infradian seizure patterns observed in epilepsy. However, these rhythms are not fully exploited in the design of active implantable medical devices. In this paper we explore a new implantable stimulator that implements chronotherapy as a feedforward input to supplement both open-loop and closed-loop methods. This integrated algorithm allows for stimulation to be adjusted to the ultradian, circadian and infradian patterns observed in patients through slowly-varying temporal adjustments of stimulation and algorithm sub-components, while also enabling adaption of stimulation based on immediate physiological needs such as a breakthrough seizure or change of posture. Embedded physiological sensors in the stimulator can be used to refine the baseline stimulation circadian pattern as a “digital zeitgeber,” i.e., a source of stimulus that entrains or synchronizes the subject's natural rhythms. This algorithmic approach is tested on a canine with severe drug-resistant idiopathic generalized epilepsy exhibiting a characteristic diurnal pattern correlated with sleep-wake cycles. Prior to implantation, the canine's cluster seizures evolved to status epilepticus (SE) and required emergency pharmacological intervention. The cranially-mounted system was fully-implanted bilaterally into the centromedian nucleus of the thalamus. Using combinations of time-based modulation, thalamocortical rhythm-specific tuning of frequency parameters as well as fast-adaptive modes based on activity, the canine experienced no further SE events post-implant as of the time of writing (7 months). Importantly, no significant cluster seizures have been observed either, allowing the reduction of rescue medication. The use of digitally-enabled chronotherapy as a feedforward signal to augment adaptive neurostimulators could prove a useful algorithmic method in conditions where sensitivity to temporal patterns are characteristics of the disease state, providing a novel mechanism for tailoring a more patient-specific therapy approach.https://www.frontiersin.org/articles/10.3389/fnins.2021.734265/fulldeep brain stimulationcentromedian thalamuscircadianentrainmentepilepsychronotherapy
spellingShingle Mayela Zamora
Sebastian Meller
Filip Kajin
James J. Sermon
James J. Sermon
Robert Toth
Moaad Benjaber
Moaad Benjaber
Derk-Jan Dijk
Derk-Jan Dijk
Rafal Bogacz
Gregory A. Worrell
Antonio Valentin
Benoit Duchet
Holger A. Volk
Timothy Denison
Timothy Denison
Case Report: Embedding “Digital Chronotherapy” Into Medical Devices—A Canine Validation for Controlling Status Epilepticus Through Multi-Scale Rhythmic Brain Stimulation
Frontiers in Neuroscience
deep brain stimulation
centromedian thalamus
circadian
entrainment
epilepsy
chronotherapy
title Case Report: Embedding “Digital Chronotherapy” Into Medical Devices—A Canine Validation for Controlling Status Epilepticus Through Multi-Scale Rhythmic Brain Stimulation
title_full Case Report: Embedding “Digital Chronotherapy” Into Medical Devices—A Canine Validation for Controlling Status Epilepticus Through Multi-Scale Rhythmic Brain Stimulation
title_fullStr Case Report: Embedding “Digital Chronotherapy” Into Medical Devices—A Canine Validation for Controlling Status Epilepticus Through Multi-Scale Rhythmic Brain Stimulation
title_full_unstemmed Case Report: Embedding “Digital Chronotherapy” Into Medical Devices—A Canine Validation for Controlling Status Epilepticus Through Multi-Scale Rhythmic Brain Stimulation
title_short Case Report: Embedding “Digital Chronotherapy” Into Medical Devices—A Canine Validation for Controlling Status Epilepticus Through Multi-Scale Rhythmic Brain Stimulation
title_sort case report embedding digital chronotherapy into medical devices a canine validation for controlling status epilepticus through multi scale rhythmic brain stimulation
topic deep brain stimulation
centromedian thalamus
circadian
entrainment
epilepsy
chronotherapy
url https://www.frontiersin.org/articles/10.3389/fnins.2021.734265/full
work_keys_str_mv AT mayelazamora casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT sebastianmeller casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT filipkajin casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT jamesjsermon casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT jamesjsermon casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT roberttoth casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT moaadbenjaber casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT moaadbenjaber casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT derkjandijk casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT derkjandijk casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT rafalbogacz casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT gregoryaworrell casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT antoniovalentin casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT benoitduchet casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT holgeravolk casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT timothydenison casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation
AT timothydenison casereportembeddingdigitalchronotherapyintomedicaldevicesacaninevalidationforcontrollingstatusepilepticusthroughmultiscalerhythmicbrainstimulation