Evidence map›Paper›PMID 33035727›Full record

ArticleBrain stimulation

Real-time suppression and amplification of frequency-specific neural activity using stimulation evoked oscillations.

David Escobar Sanabria, Luke A Johnson, Ying Yu, Zachary Busby, Shane Nebeck, Jianyu Zhang, Noam Harel, Matthew D Johnson, Gregory F Molnar, Jerrold L Vitek

Open access · goldAbstract read
In one paragraph

Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Effect of frequency on dual target deep brain stimulation.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
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  7. 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
  8. Closing the loop in psychiatric deep brain stimulation: physiology, psychometrics, and plasticity.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
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  14. Spontaneous Spiking Is Governed by Broadband Fluctuations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
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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

10 authors at 1 institution in 1 country.

David Escobar SanabriaDepartment of Neurology, University of Minnesota, Minneapolis, MN, 55455, USA.
Luke A JohnsonDepartment of Neurology, University of Minnesota, Minneapolis, MN, 55455, USA.
Ying YuDepartment of Neurology, University of Minnesota, Minneapolis, MN, 55455, USA.
Zachary BusbyDepartment of Neurology, University of Minnesota, Minneapolis, MN, 55455, USA.
Shane NebeckDepartment of Neurology, University of Minnesota, Minneapolis, MN, 55455, USA.
Jianyu ZhangDepartment of Neurology, University of Minnesota, Minneapolis, MN, 55455, USA.
Noam HarelDepartment of Radiology, University of Minnesota, Minneapolis, MN, 55455, USA.
Matthew D JohnsonDepartment of Biomedical Engineering, University of Minnesota, Minneapolis, MN, 55455, USA.
Gregory F MolnarDepartment of Neurology, University of Minnesota, Minneapolis, MN, 55455, USA.
Jerrold L VitekDepartment of Neurology, University of Minnesota, Minneapolis, MN, 55455, USA. Electronic address: vitek004@umn.edu.
University of Minnesota · US

Funding

Deep Brain Stimulation in the Parkinsonian MonkeyR01NS037019 · NINDS · UNIVERSITY OF MINNESOTA · PI Jerrold L Vitek · 1999 to 2026
$14.5M
Pathophysiology-based approaches to deep brain stimulation for Parkinson's diseaseP50NS098573 · NINDS · UNIVERSITY OF MINNESOTA · PI JOHNSON, MATTHEW DOUGLAS · 2016 to 2020
$9.1M
Spatiotemporal Optimization of Deep Brain Stimulation for Parkinson's DiseaseR01NS094206 · NINDS · UNIVERSITY OF MINNESOTA · PI Matthew Douglas Johnson, THEODEN I NETOFF · 2016 to 2026
$5.6M
The Effects of Parkinsonism and Deep Brain Stimulation on Basal Ganglia-Thalamocortical Circuitry During Sleep-Wake BehaviorR01NS110613 · NINDS · UNIVERSITY OF MINNESOTA · PI LUKE Aaron JOHNSON · 2019 to 2026
$4.7M
Neuronal Activity in MC and SMA during STN and GPi DBS in the Parkinsonian MonkeyR01NS077657 · NINDS · UNIVERSITY OF MINNESOTA · PI VITEK, JERROLD L · 2012 to 2016
$2.6M
NINDS NIH HHS P50 NS098573NINDS NIH HHS R01 NS037019NINDS NIH HHS R01 NS077657NINDS NIH HHS R01 NS094206NINDS NIH HHS R01 NS110613
6 · The paper itself

Abstract

backgroundApproaches to predictably control neural oscillations are needed to understand their causal role in brain function in healthy or diseased states and to advance the development of neuromodulation therapies.

objectiveWe present a closed-loop neural control and optimization framework to actively suppress or amplify low-frequency neural oscillations observed in local field potentials in real-time by using electrical stimulation. The rationale behind this control approach and our working hypothesis is that neural oscillatory activity evoked by electrical pulses can suppress or amplify spontaneous oscillations via destructive or constructive interference when the pulses are continuously delivered with appropriate amplitudes and at precise phases of the modulated oscillations in a closed-loop scheme.

methodsWe tested our hypothesis in two nonhuman primates that exhibited a robust increase in low-frequency (8-30 Hz) oscillatory power in the subthalamic nucleus (STN) following administration of the neurotoxin 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP). To test our neural control approach, we targeted 8-17 Hz oscillations and used electrode arrays and electrical stimulation waveforms similar to those used in humans chronically implanted with brain stimulation systems. Stimulation parameters that maximize the suppression or amplification of neural oscillations were predicted using mathematical models of the stimulation evoked oscillations.

resultsOur neural control and optimization approach was capable of actively and robustly suppressing or amplifying oscillations in the targeted frequency band (8-17 Hz) in real-time in the studied subjects.

conclusionsThe results from this study support our hypothesis and suggest that the proposed neural control framework allows one to characterize in controlled experiments the functional role of frequency-specific neural oscillations by using electrodes and stimulation waveforms currently being employed in humans.

Indexed as

Computer SystemsAnimalsDeep Brain StimulationEvoked PotentialsFemaleMacaca mulattaSubthalamic NucleusBrain circuitsClosed-loop brain stimulationNeural oscillationsStimulation-evoked oscillations

Identifiers

PMID33035727
PMCPMC7722151
OpenAlexW3091862623

What OpenQuestion holds

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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.