Evidence map›Paper›PMID 27916831›Full record

ArticleBrain sciences2016

Long-Term Task- and Dopamine-Dependent Dynamics of Subthalamic Local Field Potentials in Parkinson's Disease.

Sara J Hanrahan, Joshua J Nedrud, Bradley S Davidson, Sierra Farris, Monique Giroux, Aaron Haug, Mohammad H Mahoor, Anne K Silverman, Jun Jason Zhang, Adam Olding Hebb

Abstract read
In one paragraph

Article in Brain sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Sara J HanrahanColorado Neurological Institute, Englewood, CO 80113, USA. shanrahan@thecni.org.
Joshua J NedrudColorado Neurological Institute, Englewood, CO 80113, USA. jnedrud@thecni.org.
Bradley S DavidsonDepartment of Mechanical and Materials Engineering, University of Denver, Denver, CO 80208, USA. Bradley.Davidson@du.edu.
Sierra FarrisMovement and Neuroperformance Center of Colorado, Englewood, CO 80113, USA. sierrafarris@gmail.com.
Monique GirouxMovement and Neuroperformance Center of Colorado, Englewood, CO 80113, USA. giroux_ml@yahoo.com.
Aaron HaugBlue Sky Neurology, Englewood, CO 80113, USA. aaronhaug@gmail.com.
Mohammad H MahoorDepartment of Electrical and Computer Engineering, University of Denver, CO 80208, USA. Mohammad.Mahoor@du.edu.
Anne K SilvermanDepartment of Mechanical Engineering, Colorado School of Mines, Golden, CO 80401, USA. asilverm@mines.edu.
Jun Jason ZhangDepartment of Electrical and Computer Engineering, University of Denver, CO 80208, USA. Jun.Zhang@du.edu.
Adam Olding HebbColorado Neurological Institute, Englewood, CO 80113, USA. adam.hebb@aoh.md.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subthalamic nucleus (STN) local field potentials (LFP) are neural signals that have been shown to reveal motor and language behavior, as well as pathological parkinsonian states. We use a research-grade implantable neurostimulator (INS) with data collection capabilities to record STN-LFP outside the operating room to determine the reliability of the signals over time and assess their dynamics with respect to behavior and dopaminergic medication. Seven subjects were implanted with the recording augmented deep brain stimulation (DBS) system, and bilateral STN-LFP recordings were collected in the clinic over twelve months. Subjects were cued to perform voluntary motor and language behaviors in on and off medication states. The STN-LFP recorded with the INS demonstrated behavior-modulated desynchronization of beta frequency (13-30 Hz) and synchronization of low gamma frequency (35-70 Hz) oscillations. Dopaminergic medication did not diminish the relative beta frequency oscillatory desynchronization with movement. However, movement-related gamma frequency oscillatory synchronization was only observed in the medication on state. We observed significant inter-subject variability, but observed consistent STN-LFP activity across recording systems and over a one-year period for each subject. These findings demonstrate that an INS system can provide robust STN-LFP recordings in ambulatory patients, allowing for these signals to be recorded in settings that better represent natural environments in which patients are in a variety of medication states.

Indexed as

beta frequency oscillationsclosed-loopdeep brain stimulation (DBS)local field potential (LFP)Parkinson’s disease (PD)subthalamic nucleus

Identifiers

PMID27916831
PMCPMC5187571

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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.