Evidence map›Paper›PMID 37611096›Full record

ArticleScience advances2023

Reduced thalamic excitation to motor cortical pyramidal tract neurons in parkinsonism.

Liqiang Chen, Samuel Daniels, Rachel Dvorak, Hong-Yuan Chu

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  13. Motor cortical circuit adaptations in parkinsonism.Neural regeneration research · 2024
    Article
  14. Article
  15. Article
  16. Why so slow? Models of parkinsonian bradykinesia.Nature reviews. Neuroscience · 2024
    Review
  17. Dysfunction of motor cortices in Parkinson's disease.Cerebral cortex (New York, N.Y. : 1991) · 2024
    Review
  18. 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 1 country.

Liqiang ChenDepartment of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI 49503 USA.ORCID 0000-0003-3236-1129
Samuel DanielsDepartment of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI 49503 USA.ORCID 0000-0003-4985-3787
Rachel DvorakDepartment of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI 49503 USA.ORCID 0000-0002-1245-710X
Hong-Yuan ChuDepartment of Neurodegenerative Science, Van Andel Institute, Grand Rapids, MI 49503 USA.ORCID 0000-0003-0923-683X
Van Andel Institute · US

Funding

Motor cortical circuitry adaptations in experimental Parkinson's diseaseR01NS121371 · NINDS · VAN ANDEL RESEARCH INSTITUTE · PI CHU, HONG-YUAN · 2021 to 2025
$2.2M
NINDS NIH HHS R01 NS121371
6 · The paper itself

Abstract

Degeneration of midbrain dopaminergic (DA) neurons alters the connectivity and functionality of the basal ganglia-thalamocortical circuits in Parkinson's disease (PD). Particularly, the aberrant outputs of the primary motor cortex (M1) contribute to parkinsonian motor deficits. However, cortical adaptations at cellular and synaptic levels in parkinsonism remain poorly understood. Using multidisciplinary approaches, we found that DA degeneration induces cell subtype- and input-specific reduction of thalamic excitation to M1 pyramidal tract (PT) neurons. At molecular level, we identified that

Indexed as

Parkinson DiseaseParkinsonian DisordersAnimalsBasal GangliaMiceMotor NeuronsPyramidal TractsReceptors, N-Methyl-D-AspartateReceptors, N-Methyl-D-Aspartate

Identifiers

PMID37611096
PMCPMC10446482
OpenAlexW4386090431

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.