Evidence map›Paper›PMID 41279757›Full record

ArticlebioRxiv : the preprint server for biology2025

A clinical grade neurostimulation implant for hierarchical control of physiological activity.

Moaad Benjaber, Mayela Zamora, Robert Toth, John E Fleming, Kei Landin, Victoria S Marks, Rachel A Crockett, Jae-Wook Ryou, Alceste Deli, Alexander L Green and 9 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Moaad BenjaberInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
Mayela ZamoraInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
Robert TothInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
John E FlemingInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
Kei LandinInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
Victoria S MarksInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.ORCID 0000-0003-4417-4240
Rachel A CrockettInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.
Jae-Wook RyouFeil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, USA.
Alceste DeliAcademic Neurosurgery Unit, Neuroscience and Cell Biology Research Institute, City St. George's University of London, London, UK.
Alexander L GreenNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Rory J PiperDepartment of Neurosurgery, Great Ormond Street Hospital, London, UK.
Martin M TisdallDepartment of Neurosurgery, Great Ormond Street Hospital, London, UK.
Derk-Jan DijkSurrey Sleep Research Centre, University of Surrey, Guildford, UK.
Nicholas D SchiffFeil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, USA.
Andrew SharottMedical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Keith P PurpuraFeil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, USA.
Jonathan L BakerFeil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, USA.
Joram J van RheedeInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.ORCID 0000-0001-8164-8594
Timothy J DenisonInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK.

Funding

Central Thalamic Deep Brain Stimulation to Regulate Arousal and CognitionR01NS111019 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI BAKER, JONATHAN L, PURPURA, KEITH P. · 2020 to 2023
$2.5M
NINDS NIH HHS R01 NS111019
6 · The paper itself

Abstract

Bioelectronic implants for neurostimulation aim to steer disordered neurophysiological processes back towards a healthy state. However, physiology is subject to biological rhythms, including the circadian rhythm and the sleep-wake cycle. These predictable rhythms affect disease symptomatology, biomarkers used in closed-loop therapies, and a physiological system's expected response to stimulation. Therefore, therapeutic devices should incorporate feedforward elements to align algorithm parameters with predictable changes in physiological state, as a parallel of physiological rheostatic control. Here we introduce the DyNeuMo-2c, the first clinical-grade implant capable of delivering closed-loop neurostimulation while flexibly changing its functional configuration according to time of day. The device can chronically measure brain activity and motion state to track potential biomarker patterns in natural, out-of-clinic settings, allowing identification and targeting of patient-specific chronotypes. The system implements a hierarchical control flow, with baseline therapy set by a circadian scheduler, and adaptive policies layered to take effect based on specific biomarkers indicating patient and disease state. Using a benchtop validation setup, we demonstrate that the system has the required capabilities for delivering time-contingent closed-loop therapy in two established clinical use cases: Parkinson's disease and epilepsy. Next, we deploy the system

Identifiers

PMID41279757
PMCPMC12633544

What Socratic 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 Socratic graph.