Evidence map›Paper›PMID 24123553›Full record

SynthesisHuman brain mapping2014

Functional neuroimaging of motor control in Parkinson's disease: a meta-analysis.

Damian M Herz, Simon B Eickhoff, Annemette Løkkegaard, Hartwig R Siebner

2 registry-linked trialsOpen access · bronzeAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Human brain mapping, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 103 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 12 pooled it
7.4field-weighted citation impact, top 2% 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.

NCT04778852 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Quantitative Assessment of Training Effects Using a Wearable Exoskeleton in Parkinson Disease Patients

TypeinterventionalSponsorUniversity of PadovaRan2020 to 2023Enrolled50ConditionsParkinson DiseaseArmsExperimental: EksoGT, Functional kinematic training
NCT05169827 completednot on this mapstarted 2019, after this paper: background citation

How Cerebral Plasticity Shapes Symptom Progression in Parkinson's Disease: a Longitudinal Neuroimaging Study

TypeobservationalSponsorRadboud University Medical CenterRan2019 to 2023Enrolled115ConditionsParkinson Disease
3 · Its place in the literature

Who cites it

103 citing papers in PubMed, 12 syntheses or guidelines pooled it, 175 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Brain Motor Network Changes in Parkinson's Disease: Evidence from Meta-Analytic Modeling.Movement disorders : official journal of the Movement Disorder Society · 2021
    Pooled it
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  8. Resting-state functional reorganization in Parkinson's disease: An activation likelihood estimation meta-analysis.Cortex; a journal devoted to the study of the nervous system and behavior · 2017
    Pooled it
  9. Pooled it
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  13. Trial
  14. Repeated sessions of transcranial direct current stimulation evaluation on fatigue and daytime sleepiness in Parkinson's disease.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2017
    Trial
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  17. Article
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  20. Review

43 more citing papers are in PubMed but not listed here.

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

4 authors at 4 institutions in 2 countries.

Damian M HerzDanish Research Center for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark.
Simon B Eickhoff
Annemette Løkkegaard
Hartwig R Siebner
Bispebjerg Hospital · DKCopenhagen University Hospital · DKHeinrich Heine University Düsseldorf · DEHvidovre Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional neuroimaging has been widely used to study the activation patterns of the motor network in patients with Parkinson's disease (PD), but these studies have yielded conflicting results. This meta-analysis of previous neuroimaging studies was performed to identify patterns of abnormal movement-related activation in PD that were consistent across studies. We applied activation likelihood estimation (ALE) of functional neuroimaging studies probing motor function in patients with PD. The meta-analysis encompassed data from 283 patients with PD reported in 24 functional neuroimaging studies and yielded consistent alterations in neural activity in patients with PD. Differences in cortical activation between PD patients and healthy controls converged in a left-lateralized fronto-parietal network comprising the presupplementary motor area, primary motor cortex, inferior parietal cortex, and superior parietal lobule. Both, increases as well as decreases in motor cortical activity, which were related to differences in movement timing and selection in the applied motor tasks, were reported in these cortical areas. In the basal ganglia, PD patients expressed a decrease of motor activation in the posterior motor putamen, which improved with dopaminergic medication. The likelihood of detecting a decrease in putaminal activity increased with motor impairment. This reduced motor activation of the posterior putamen across previous neuroimaging studies indicates that nigrostriatal dopaminergic denervation affects neural processing in the denervated striatal motor territory. In contrast, fronto-parietal motor areas display both increases as well as decreases in movement related activation. This points to a more complex relationship between altered cortical physiology and nigrostriatal dopaminergic denervation in PD.

Indexed as

BrainFunctional NeuroimagingDatabases, BibliographicHumansImage Processing, Computer-AssistedMovement DisordersParkinson DiseaseRadionuclide Imagingfunctional magnetic resonance imagingmeta analysismotorParkinson's diseasepositron emission tomography

Identifiers

PMID24123553
PMCPMC6869014
OpenAlexW1581177893

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.