Evidence map›Paper›PMID 27826233›Full record

ArticleFrontiers in human neuroscience2016

The Parkinsonian Subthalamic Network: Measures of Power, Linear, and Non-linear Synchronization and their Relationship to L-DOPA Treatment and OFF State Motor Severity.

Timothy West, Simon Farmer, Luc Berthouze, Ashwani Jha, Martijn Beudel, Thomas Foltynie, Patricia Limousin, Ludvic Zrinzo, Peter Brown, Vladimir Litvak

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Criticality and increased intrinsic neural timescales in stroke.NPJ systems biology and applications · 2025
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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.

Timothy WestCentre for Mathematics and Physics in the Life Sciences and Experimental Biology, UCLLondon, UK; Wellcome Trust Centre for Neuroimaging, UCL Institute of NeurologyLondon, UK.
Simon FarmerDepartment of Neurology, National Hospital for Neurology and NeurosurgeryLondon, UK; Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, UCLLondon, UK.
Luc BerthouzeCentre for Computational Neuroscience and Robotics, University of SussexFalmer, UK; UCL Great Ormond Street Institute of Child Health, UCLLondon, UK.
Ashwani JhaSobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, UCL London, UK.
Martijn BeudelDepartment of Neurology, University Medical Center Groningen, University of Groningen Groningen, Netherlands.
Thomas FoltynieSobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, UCL London, UK.
Patricia LimousinSobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, UCL London, UK.
Ludvic ZrinzoSobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, UCL London, UK.
Peter BrownNuffield Department of Clinical Neurosciences, John Radcliffe HospitalOxford, UK; Medical Research Council Brain Network Dynamics Unit, University of OxfordOxford, UK.
Vladimir LitvakWellcome Trust Centre for Neuroimaging, UCL Institute of Neurology London, UK.

Funding

Medical Research Council MC_UU_12024/1Parkinson's UK F-0903
6 · The paper itself

Abstract

In this paper we investigated the dopaminergic modulation of neuronal interactions occurring in the subthalamic nucleus (STN) during Parkinson's disease (PD). We utilized linear measures of local and long range synchrony such as power and coherence, as well as Detrended Fluctuation Analysis for Phase Synchrony (DFA-PS)- a recently developed non-linear method that computes the extent of long tailed autocorrelations present in the phase interactions between two coupled signals. Through analysis of local field potentials (LFPs) taken from the STN we seek to determine changes in the neurodynamics that may underpin the pathophysiology of PD in a group of 12 patients who had undergone surgery for deep brain stimulation. We demonstrate up modulation of alpha-theta (5-12 Hz) band power in response to L-DOPA treatment, whilst low beta band power (15-20 Hz) band-power is suppressed. We also find evidence for significant local connectivity within the region surrounding STN although there was evidence for its modulation via administration of L-DOPA. Further to this we present evidence for a positive correlation between the phase ordering of bilateral STN interactions and the severity of bradykinetic and rigidity symptoms in PD. Although, the ability of non-linear measures to predict clinical state did not exceed standard measures such as beta power, these measures may help identify the connections which play a role in pathological dynamics.

Indexed as

coherenceconnectivitycriticalitydeep brain stimulation (DBS)detrended fluctuation analysisParkinson's diseasesynchronization

Identifiers

PMID27826233
PMCPMC5078477

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Registered trials

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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.