Evidence map›Paper›PMID 24262909›Full record

ReviewNeurosurgery clinics of North America2014

Creating the feedback loop: closed-loop neurostimulation.

Adam O Hebb, Jun Jason Zhang, Mohammad H Mahoor, Christos Tsiokos, Charles Matlack, Howard Jay Chizeck, Nader Pouratian

Abstract readReview
In one paragraph

Review in Neurosurgery clinics of North America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Closed-Loop Neuromodulation in Physiological and Translational Research.Cold Spring Harbor perspectives in medicine · 2019
    Review
  12. Article
  13. Review
  14. Article
  15. Toward Electrophysiology-Based Intelligent Adaptive Deep Brain Stimulation for Movement Disorders.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2019
    Review
  16. Advances in closed-loop deep brain stimulation devices.Journal of neuroengineering and rehabilitation · 2017
    Review
  17. Article
  18. Review
  19. Technology for deep brain stimulation at a gallop.Movement disorders : official journal of the Movement Disorder Society · 2015
    Review
  20. Adaptive deep brain stimulation in a freely moving Parkinsonian patient.Movement disorders : official journal of the Movement Disorder Society · 2015
    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

7 authors.

Adam O HebbColorado Neurological Institute, Department of Electrical and Computer Engineering, University of Denver, 499 E Hampden Ave Ste, 220 Englewood, CO 80113, USA. Electronic address: adam.hebb@aoh.md.
Jun Jason Zhang
Mohammad H Mahoor
Christos Tsiokos
Charles Matlack
Howard Jay Chizeck
Nader Pouratian

Funding

Electrophysiologic and Anatomic Basis of BOLD fMRIK23EB014326 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI POURATIAN, NADER · 2012 to 2016
$946k
NIBIB NIH HHS K23 EB014326
6 · The paper itself

Abstract

Current DBS therapy delivers a train of electrical pulses at set stimulation parameters. This open-loop design is effective for movement disorders, but therapy may be further optimized by a closed loop design. The technology to record biosignals has outpaced our understanding of their relationship to the clinical state of the whole person. Neuronal oscillations may represent or facilitate the cooperative functioning of brain ensembles, and may provide critical information to customize neuromodulation therapy. This review addresses advances to date, not of the technology per se, but of the strategies to apply neuronal signals to trigger or modulate stimulation systems.

Indexed as

BrainDeep Brain StimulationHumansParkinson DiseaseClosed-loopControl systemsDeep brain stimulationLocal field potentialsMachine learningOscillationsSubthalamic nucleus

Identifiers

PMID24262909
PMCPMC4058859

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.