Evidence map›Paper›PMID 30418885›Full record

ArticleIEEE transactions on biomedical circuits and systems2018

A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders.

Scott Stanslaski, Jeffrey Herron, Tom Chouinard, Duane Bourget, Ben Isaacson, Vaclav Kremen, Enrico Opri, William Drew, Benjamin H Brinkmann, Aysegul Gunduz and 3 more

Abstract read
In one paragraph

Article in IEEE transactions on biomedical circuits and systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing 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

108 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Localizing beta synchronous neurons in the STN using directional DBS recordings and patient-specific biophysical models.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Low-Frequency Adaptive Deep Brain Stimulation for Parkinson's Disease.medRxiv : the preprint server for health sciences · 2025
    Article
  19. Review
  20. Article

48 more citing papers are in PubMed but not listed here.

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

13 authors.

Scott Stanslaski
Jeffrey Herron
Tom Chouinard
Duane Bourget
Ben Isaacson
Vaclav Kremen
Enrico Opri
William Drew
Benjamin H Brinkmann
Aysegul Gunduz
Tom Adamski
Gregory A Worrell
Timothy Denison

Funding

Reliable Seizure Prediction Using Physiological Signals and Machine LearningR01NS092882 · NINDS · MAYO CLINIC ROCHESTER · PI Gregory A Worrell · 2015 to 2026
$5.7M
Together: Transforming and Translating Discovery to Improve HealthKL2TR001429 · NCATS · UNIVERSITY OF FLORIDA · PI GUIRGIS, FAHEEM W, LEEUWENBURGH, CHRISTIAAN · 2015 to 2023
$5.5M
Neurophysiologically Based Brain State Tracking & Modulation in Focal EpilepsyUH2NS095495 · NINDS · MAYO CLINIC ROCHESTER · PI WORRELL, GREGORY A · 2015 to 2018
$4.2M
NCATS NIH HHS KL2 TR001429NINDS NIH HHS R01 NS092882NINDS NIH HHS UH2 NS095495
6 · The paper itself

Abstract

Developing new tools to better understand disorders of the nervous system, with a goal to more effectively treat them, is an active area of bioelectronic medicine research. Future tools must be flexible and configurable, given the evolving understanding of both neuromodulation mechanisms and how to configure a system for optimal clinical outcomes. We describe a system, the Summit RC+S "neural coprocessor," that attempts to bring the capability and flexibility of a microprocessor to a prosthesis embedded within the nervous system. This paper describes the updated system architecture for the Summit RC+S system, the five custom integrated circuits required for bi-directional neural interfacing, the supporting firmware/software ecosystem, and the verification and validation activities to prepare for human implantation. Emphasis is placed on design changes motivated by experience with the CE-marked Activa PC+S research tool; specifically, enhancement of sense-stim performance for improved bi-directional communication to the nervous system, implementation of rechargeable technology to extend device longevity, and application of MICS-band telemetry for algorithm development and data management. The technology was validated in a chronic treatment paradigm for canines with naturally occurring epilepsy, including free ambulation in the home environment, which represents a typical use case for future human protocols.

Indexed as

Electrodes, ImplantedAnimalsDogsEquipment DesignErgonomicsHumansNervous System DiseasesNeurophysiological MonitoringSignal Processing, Computer-AssistedTransducers

Identifiers

PMID30418885
PMCPMC6415546

What OpenQuestion holds

Textmetadata
LicenceTDM
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.