Evidence map›Paper›PMID 31768227›Full record

ArticleInternational IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering2019

Beta Oscillation-Targeted Neurofeedback Training Based on Subthalamic LFPs in Parkinsonian Patients.

Shenghong He, Emilie Syed, Flavie Torrecillos, Gerd Tinkhauser, Petra Fischer, Alek Pogosyan, Erlick Pereira, Keyoumars Ashkan, Harutomo Hasegawa, Peter Brown and 1 more

Abstract read
In one paragraph

Article in International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering, 2019. 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

11 authors.

Shenghong HeMRC Brain Network Dynamics Unit and Nuffield Department of Clinical Neurosciences in University of Oxford, United Kingdom.
Emilie SyedMRC Brain Network Dynamics Unit and Nuffield Department of Clinical Neurosciences in University of Oxford, United Kingdom.
Flavie TorrecillosMRC Brain Network Dynamics Unit and Nuffield Department of Clinical Neurosciences in University of Oxford, United Kingdom.
Gerd TinkhauserMRC Brain Network Dynamics Unit and Nuffield Department of Clinical Neurosciences in University of Oxford, United Kingdom.
Petra FischerMRC Brain Network Dynamics Unit and Nuffield Department of Clinical Neurosciences in University of Oxford, United Kingdom.
Alek PogosyanMRC Brain Network Dynamics Unit and Nuffield Department of Clinical Neurosciences in University of Oxford, United Kingdom.
Erlick PereiraNeurosurgery and Consultant Neurosurgeon St George's University Hospital, London, United Kingdom.
Keyoumars AshkanDepartment of Neurosurgery, King's College Hospital NHS Foundation Trust, King's Health Partners, London, United Kingdom.
Harutomo HasegawaDepartment of Neurosurgery, King's College Hospital NHS Foundation Trust, King's Health Partners, London, United Kingdom.
Peter BrownMRC Brain Network Dynamics Unit and Nuffield Department of Clinical Neurosciences in University of Oxford, United Kingdom.
Huiling TanMRC Brain Network Dynamics Unit and Nuffield Department of Clinical Neurosciences in University of Oxford, United Kingdom.

Funding

Medical Research Council MC_UU_12024/1Medical Research Council MR/P012272/1
6 · The paper itself

Abstract

Increased oscillatory activities in the beta frequency band (13-30 Hz) in the subthalamic nucleus (STN), and in particular prolonged episodes of increased synchrony in this frequency band, have been associated with motor symptoms such as bradykinesia and rigidity in Parkinson's disease (PD). Numerous studies have investigated sensorimotor cortical beta oscillations either as a control signal for Brain Computer Interfaces (BCI) or as target signal for neurofeedback training (NFB). However, it still remains unknown whether patients with PD can gain control of the pathological oscillations recorded from a subcortical site - the STN - with neurofeedback training. We tried to address this question in the current study. Specifically, we designed a simple basketball game, in which the position of a basketball changes based on the occurrence of events of temporally increased beta power quantified in real-time. Participants practised in the game to control the position of the basketball, which requires modulation of the beta oscillations recorded from STN local field potentials (LFPs). Our results suggest that it is possible to use neurofeedback training for PD patients to downregulate pathological beta oscillations in STN LFPs, and that this can lead to a reduction of beta oscillations in the cortical-STN motor network.

Indexed as

Beta oscillationslocal field potential (LFP)neurofeedback training (NFB)Parkinson’s disease (PD)

Identifiers

PMID31768227
PMCPMC6877348

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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.