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Case Report: Embedding "Digital Chronotherapy" Into Medical Devices-A Canine Validation for Controlling Status Epilepticus Through Multi-Scale Rhythmic Brain Stimulation.
Zamora, Mayela; Meller, Sebastian; Kajin, Filip; Sermon, James J; Toth, Robert; Benjaber, Moaad; Dijk, Derk-Jan; Bogacz, Rafal; Worrell, Gregory A; Valentin, Antonio; Duchet, Benoit; Volk, Holger A; Denison, Timothy.
Afiliação
  • Zamora M; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • Meller S; Department of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Hanover, Germany.
  • Kajin F; Department of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Hanover, Germany.
  • Sermon JJ; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • Toth R; MRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
  • Benjaber M; MRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
  • Dijk DJ; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • Bogacz R; MRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
  • Worrell GA; Surrey Sleep Research Centre, University of Surrey, Guildford, United Kingdom.
  • Valentin A; UK Dementia Research Institute, Care Research and Technology Centre, Imperial College London and The University of Surrey, Guildford, United Kingdom.
  • Duchet B; MRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
  • Volk HA; Department of Neurology, Mayo Clinic, Rochester, MN, United States.
  • Denison T; Department of Clinical Neurophysiology, King's College Hospital NHS Trust, London, United Kingdom.
Front Neurosci ; 15: 734265, 2021.
Article em En | MEDLINE | ID: mdl-34630021
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Neurosci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Neurosci Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido