Evidence map›Paper›PMID 38295031›Full record

ArticlePloS one2024

Longitudinal brain structure changes in Parkinson's disease: A replication study.

Andrzej Sokołowski, Nikhil Bhagwat, Yohan Chatelain, Mathieu Dugré, Alexandru Hanganu, Oury Monchi, Brent McPherson, Michelle Wang, Jean-Baptiste Poline, Madeleine Sharp and 1 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

11 authors.

Andrzej SokołowskiDepartment of Computer Science and Software Engineering, Concordia University, Montreal, Canada.ORCID 0000-0002-0220-2365
Nikhil BhagwatDepartment of Neurology and Neurosurgery, McGill University, Montreal, Canada.
Yohan ChatelainDepartment of Computer Science and Software Engineering, Concordia University, Montreal, Canada.
Mathieu DugréDepartment of Computer Science and Software Engineering, Concordia University, Montreal, Canada.
Alexandru HanganuDépartement de Psychologie, Université de Montréal, Montréal, Canada.ORCID 0000-0002-2547-4005
Oury MonchiDépartement de Radiologie, Radio-Oncologie et Médecine Nucléaire, Université de Montréal, Montréal, Canada.
Brent McPhersonDepartment of Neurology and Neurosurgery, McGill University, Montreal, Canada.
Michelle WangDepartment of Neurology and Neurosurgery, McGill University, Montreal, Canada.ORCID 0000-0002-3432-6899
Jean-Baptiste PolineDepartment of Neurology and Neurosurgery, McGill University, Montreal, Canada.
Madeleine SharpDepartment of Neurology and Neurosurgery, McGill University, Montreal, Canada.
Tristan GlatardDepartment of Computer Science and Software Engineering, Concordia University, Montreal, Canada.

Funding

Resource DiscoveryP41EB019936 · NIBIB · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI David Nelson Kennedy · 2016 to 2026
$15.2M
Michael J. Fox Foundation for Parkinson's ResearchNIBIB NIH HHS P41 EB019936
6 · The paper itself

Abstract

contextAn existing major challenge in Parkinson's disease (PD) research is the identification of biomarkers of disease progression. While magnetic resonance imaging is a potential source of PD biomarkers, none of the magnetic resonance imaging measures of PD are robust enough to warrant their adoption in clinical research. This study is part of a project that aims to replicate 11 PD studies reviewed in a recent survey (JAMA neurology, 78(10) 2021) to investigate the robustness of PD neuroimaging findings to data and analytical variations.

objectiveThis study attempts to replicate the results in Hanganu et al. (Brain, 137(4) 2014) using data from the Parkinson's Progression Markers Initiative (PPMI).

methodsUsing 25 PD subjects and 18 healthy controls, we analyzed the rate of change of cortical thickness and of the volume of subcortical structures, and we measured the relationship between structural changes and cognitive decline. We compared our findings to the results in the original study.

results(1) Similarly to the original study, PD patients with mild cognitive impairment (MCI) exhibited increased cortical thinning over time compared to patients without MCI in the right middle temporal gyrus, insula, and precuneus. (2) The rate of cortical thinning in the left inferior temporal and precentral gyri in PD patients correlated with the change in cognitive performance. (3) There were no group differences in the change of subcortical volumes. (4) We did not find a relationship between the change in subcortical volumes and the change in cognitive performance.

conclusionDespite important differences in the dataset used in this replication study, and despite differences in sample size, we were able to partially replicate the original results. We produced a publicly available reproducible notebook allowing researchers to further investigate the reproducibility of the results in Hanganu et al. (2014) when more data is added to PPMI.

Indexed as

Cognitive DysfunctionParkinson DiseaseBiomarkersBrainCerebral CortexCerebral Cortical ThinningHumansMagnetic Resonance ImagingReproducibility of ResultsBiomarkers

Identifiers

PMID38295031
PMCPMC10830012

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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.