Evidence map›Paper›PMID 26608605›Full record

ReviewNeuropsychology review2015

High Frequency Deep Brain Stimulation and Neural Rhythms in Parkinson's Disease.

Zack Blumenfeld, Helen Brontë-Stewart

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Neuropsychology review, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03079960 (Data-Driven Characterization of Neuronal Markers During Deep Brain Stimulation for Patients With Parkinson's Disease), which is not on this map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.2field-weighted citation impact, top 13% 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.

NCT03079960 naunknown statusnot on this mapstarted 2017, after this paper: background citation

Data-Driven Characterization of Neuronal Markers During Deep Brain Stimulation for Patients With Parkinson's Disease

TypeinterventionalSponsorProf. Dr. Volker Arnd CoenenRan2017 to 2021Enrolled120ConditionsParkinson DiseaseArmsElectrophysiological recording and measurement devices
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Article
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  7. Review
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  11. Review
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  14. Review
  15. Article
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  17. Article
  18. Article
  19. Toward Electrophysiology-Based Intelligent Adaptive Deep Brain Stimulation for Movement Disorders.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2019
    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

2 authors at 1 institution in 1 country.

Zack BlumenfeldDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA.
Helen Brontë-StewartDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA. hbs@stanford.edu.
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High frequency (HF) deep brain stimulation (DBS) is an established therapy for the treatment of Parkinson's disease (PD). It effectively treats the cardinal motor signs of PD, including tremor, bradykinesia, and rigidity. The most common neural target is the subthalamic nucleus, located within the basal ganglia, the region most acutely affected by PD pathology. Using chronically-implanted DBS electrodes, researchers have been able to record underlying neural rhythms from several nodes in the PD network as well as perturb it using DBS to measure the ensuing neural and behavioral effects, both acutely and over time. In this review, we provide an overview of the PD neural network, focusing on the pathophysiological signals that have been recorded from PD patients as well as the mechanisms underlying the therapeutic benefits of HF DBS. We then discuss evidence for the relationship between specific neural oscillations and symptoms of PD, including the aberrant relationships potentially underlying functional connectivity in PD as well as the use of different frequencies of stimulation to more specifically target certain symptoms. Finally, we briefly describe several current areas of investigation and how the ability to record neural data in ecologically-valid settings may allow researchers to explore the relationship between brain and behavior in an unprecedented manner, culminating in the future automation of neurostimulation therapy for the treatment of a variety of neuropsychiatric diseases.

Indexed as

AnimalsBrainDeep Brain StimulationHumansParkinson DiseaseBeta bandClosed-loopDeep brain stimulationNeuromodulationParkinson’s diseaseSubthalamic nucleus

Identifiers

PMID26608605
OpenAlexW2179291523

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.