Evidence map›Paper›PMID 33404161›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2021

Dynamics of Top-Down Control and Motor Networks in Parkinson's Disease.

Li Chen, Patrick Bedard, Mark Hallett, Silvina G Horovitz

Open access · greenAbstract read
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.3field-weighted citation impact, top 5% 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.

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

32 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Olfactory network reorganization in Parkinson's disease.Parkinsonism & related disorders · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Integrative Brain States Facilitate the Expression of Parkinson's Tremor.Movement disorders : official journal of the Movement Disorder Society · 2023
    Article
  18. Article
  19. Altered Neurovascular Coupling for Multidisciplinary Intensive Rehabilitation in Parkinson's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  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

4 authors at 1 institution in 2 countries.

Li ChenHuman Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-2380-1738
Patrick BedardHuman Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
Mark HallettHuman Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-3180-6811
Silvina G HorovitzHuman Motor Control Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA.
National Institutes of Health · US

Funding

Pathophysiology of Basal Ganglia DisordersZIANS003031 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI HALLETT, MARK · 2009 to 2023
$22.7M
Pathophysiology of Basal Ganglia DisordersZ01NS003031 · NINDS · NEUROLOGICAL DISORDERS AND STROKE · PI HALLETT, MARK · 2007 to 2008
$4.4M
Intramural NIH HHS Z01 NS003031
6 · The paper itself

Abstract

backgroundMotor symptoms in Parkinson's disease (PD) patients might be related to high-level task-control deficits. We aimed at investigating the dynamics between sensorimotor network and top-down control networks (frontal-parietal, cingulo-opercular, and cerebellar) in PD and at determining the effects of levodopa on the dynamics of these networks.

methodsWe investigated dynamic functional connectivity (dFC), during resting state functional magnetic resonance imaging, between sensorimotor network and top-down control networks in 36 PD patients (OFF medication, PD-OFF) and 36 healthy volunteers. We further assessed the effect of medication on dFC in18 PD patients who were also scanned ON medication.

resultsThe dFC analyses identified three discrete states: State I (35.68%) characterized by connections between the cerebellum and sensorimotor network, State II (34.17%) with connections between the sensorimotor and frontal-parietal network, and State III (30.15%) with connection between the sensorimotor and cingulo-opercular network. PD patients have significantly fewer occurrences and overall spent less time (shorter dwell time) in State II compared to healthy controls. After levodopa intake, dwell time improved toward normal. The change in dwell time before and after taking levodopa was negatively related to the respective changes in Unified Parkinson's Disease Rating Scale, Part III. PD-OFF showed significantly decreased connectivity between sensorimotor and control networks and increased connectivity within control networks. These changes were partially improved after levodopa intake.

conclusionsDopamine depletion in PD is associated with abnormalities in temporal and spatial properties between cognitive control and sensorimotor network, possibly contributing to clinical deficits. Levodopa partially restores the network function toward the values observed in healthy volunteers. © 2021 International Parkinson and Movement Disorder Society.

Indexed as

Parkinson DiseaseDopamineHumansLevodopaMagnetic Resonance ImagingNeural PathwaysDopamineLevodopadopaminedynamic functional connectivitymotor networkParkinson's diseasetop-down control networks

Identifiers

PMID33404161
PMCPMC8373438
OpenAlexW3118980003

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.