Evidence map›Paper›PMID 32473544›Full record

ArticleNeuroImage. Clinical2020

Striatal shape alteration as a staging biomarker for Parkinson's Disease.

Maxime Peralta, John S H Baxter, Ali R Khan, Claire Haegelen, Pierre Jannin

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. PassFlow: a multimodal workflow for predicting deep brain stimulation outcomes.International journal of computer assisted radiology and surgery · 2021
    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

5 authors at 3 institutions in 2 countries.

Maxime PeraltaINSERM, LTSI - UMR 1099, University of Rennes, Rennes, France.
John S H BaxterINSERM, LTSI - UMR 1099, University of Rennes, Rennes, France.
Ali R KhanImaging Research Laboratories, Robarts Research institute, Western University, London, Canada.
Claire HaegelenINSERM, LTSI - UMR 1099, University of Rennes, Rennes, France; CHU Rennes, Rennes, France.
Pierre JanninINSERM, LTSI - UMR 1099, University of Rennes, Rennes, France. Electronic address: pierre.jannin@univ-rennes1.fr.
Laboratoire Traitement du Signal et de l'Image · FRUniversité de Rennes · FRWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's Disease provokes alterations of subcortical deep gray matter, leading to subtle changes in the shape of several subcortical structures even before the manifestation of motor and non-motor clinical symptoms. We used an automated registration and segmentation pipeline to measure this structural alteration in one early and one advanced Parkinson's Disease (PD) cohorts, one prodromal stage cohort and one healthy control cohort. These structural alterations are then passed to a machine learning pipeline to classify these populations. Our workflow is able to distinguish different stages of PD based solely on shape analysis of the bilateral caudate nucleus and putamen, with balanced accuracies in the range of 59% to 85%. Furthermore, we compared the significance of each of these subcortical structure, compared the performances of different classifiers on this task, thus quantifying the informativeness of striatal shape alteration as a staging bio-marker for PD.

Indexed as

AgedBiomarkersCaudate NucleusCorpus StriatumFemaleGray MatterHumansMaleMiddle AgedParkinson DiseasePutamenBiomarkersMachine learningMedical imagingMorphometric biomarkersParkinson’s diseaseStaging biomarker

Identifiers

PMID32473544
PMCPMC7260673
OpenAlexW3025321979

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.