Evidence map›Paper›PMID 33692611›Full record

ArticleConference proceedings. IEEE International Conference on Systems, Man, and Cybernetics2020

DyNeuMo Mk-2: An Investigational Circadian-Locked Neuromodulator with Responsive Stimulation for Applied Chronobiology.

Robert Toth, Mayela Zamora, Jon Ottaway, Tom Gillbe, Sean Martin, Moaad Benjaber, Guy Lamb, Tara Noone, Barry Taylor, Alceste Deli and 10 more

Open access · greenAbstract read
In one paragraph

Article in Conference proceedings. IEEE International Conference on Systems, Man, and Cybernetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Development and Evaluation of a Real-Time Phase-Triggered Stimulation Algorithm for the CorTec Brain Interchange.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024
    Article
  7. Bioelectronic Zeitgebers: targeted neuromodulation to re-establish circadian rhythms.Conference proceedings. IEEE International Conference on Systems, Man, and Cybernetics · 2023
    Article
  8. An embedded intracranial seizure monitor for objective outcome measurements and rhythm identification.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2023
    Article
  9. Regulation of arousal and performance of a healthy non-human primate using closed-loop central thalamic deep brain stimulation.International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering · 2023
    Article
  10. The Design of Brainstem Interfaces: Characterisation of Physiological Artefacts and Implications for Closed-loop Algorithms.International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering · 2023
    Article
  11. Article
  12. Article
  13. Towards network-guided neuromodulation for epilepsy.Brain : a journal of neurology · 2022
    Review
  14. Computationally efficient neural network classifiers for next generation closed loop neuromodulation therapy - a case study in epilepsy.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2022
    Article
  15. Article
  16. Review
  17. Article
  18. Physiologically informed neuromodulation.Journal of the neurological sciences · 2022
    Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 9 institutions in 3 countries.

Robert TothMRC Brain Network Dynamics Unit, and the Department of Engineering Science, University of Oxford, Oxford OX2 7DQ, UK.
Mayela ZamoraMRC Brain Network Dynamics Unit, and the Department of Engineering Science, University of Oxford, Oxford OX2 7DQ, UK.
Jon OttawayBioinduction Ltd, Bristol BS8 4RP, UK.
Tom GillbeBioinduction Ltd, Bristol BS8 4RP, UK.
Sean MartinDepartment of Neurosurgery, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Moaad BenjaberMRC Brain Network Dynamics Unit, and the Department of Engineering Science, University of Oxford, Oxford OX2 7DQ, UK.
Guy LambBioinduction Ltd, Bristol BS8 4RP, UK.
Tara NooneBioinduction Ltd, Bristol BS8 4RP, UK.
Barry TaylorBioinduction Ltd, Bristol BS8 4RP, UK.
Alceste DeliDepartment of Neurosurgery, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Vaclav KremenBioelectronics Neurophysiology and Engineering Lab, Mayo Clinic, Rochester, MN, US.
Gregory WorrellBioelectronics Neurophysiology and Engineering Lab, Mayo Clinic, Rochester, MN, US.
Timothy G ConstandinouDepartment of Electrical and Electronic Engineering and the UK Dementia Research Institute (Care Research and Technology Centre), Imperial College London, London SW7 2AZ, UK.
Ivor GillbeBioinduction Ltd, Bristol BS8 4RP, UK.
Stefan De WachterDepartment of Urology, University of Antwerp Hospital, 2650 Edegem, Belgium.
Charles KnowlesBarts and the London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK.
Andrew SharottMRC Brain Network Dynamics Unit, and the Department of Engineering Science, University of Oxford, Oxford OX2 7DQ, UK.
Antonio ValentinDepartment of Basic and Clinical Neuroscience, King's College London, London SE5 9RT, UK.
Alexander L GreenDepartment of Neurosurgery, John Radcliffe Hospital, Oxford OX3 9DU, UK.
Timothy DenisonMRC Brain Network Dynamics Unit, and the Department of Engineering Science, University of Oxford, Oxford OX2 7DQ, UK.
Bioinduction (United Kingdom) · GBMRC Brain Network Dynamics Unit · GBJohn Radcliffe Hospital · GBAntwerp University Hospital · BEKing's College London · GBMayo Clinic · USQueen Mary University of London · GBUK Dementia Research Institute · GBWinnMed · US

Funding

Medical Research Council MC_UU_00003/3Medical Research Council MC_UU_00003/6Medical Research Council MC_UU_12024/1Medical Research Council UKDRI-7004
6 · The paper itself

Abstract

Deep brain stimulation (DBS) for Parkinson's disease, essential tremor and epilepsy is an established palliative treatment. DBS uses electrical neuromodulation to suppress symptoms. Most current systems provide a continuous pattern of fixed stimulation, with clinical follow-ups to refine settings constrained to normal office hours. An issue with this management strategy is that the impact of stimulation on circadian, i.e. sleep-wake, rhythms is not fully considered; either in the device design or in the clinical follow-up. Since devices can be implanted in brain targets that couple into the reticular activating network, impact on wakefulness and sleep can be significant. This issue will likely grow as new targets are explored, with the potential to create entraining signals that are uncoupled from environmental influences. To address this issue, we have designed a new brain-machine-interface for DBS that combines a slow-adaptive circadian-based stimulation pattern with a fast-acting pathway for responsive stimulation, demonstrated here for seizure management. In preparation for first-in-human research trials to explore the utility of multi-timescale automated adaptive algorithms, design and prototyping was carried out in line with ISO risk management standards, ensuring patient safety. The ultimate aim is to account for chronobiology within the algorithms embedded in brain-machine-interfaces and in neuromodulation technology more broadly.

Indexed as

Activity recognitionAdaptive controlBrain stimulationChronobiologyCircadian rhythmClosed loop systemsDigital filtersNeural implantsSafety management

Identifiers

PMID33692611
PMCPMC7116879
OpenAlexW3111392583

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.