Evidence map›Paper›PMID 28794981›Full record

ArticleNeuroImage. Clinical2017

A test-retest study on Parkinson's PPMI dataset yields statistically significant white matter fascicles.

Martin Cousineau, Pierre-Marc Jodoin, Félix C Morency, Verena Rozanski, Marilyn Grand'Maison, Barry J Bedell, Maxime Descoteaux

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
10.3field-weighted citation impact, top 1% 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

87 citing papers in PubMed, 165 citations in OpenAlex.

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  17. Free water elimination tractometry for aging brains.Imaging neuroscience (Cambridge, Mass.) · 2025
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27 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

7 authors at 3 institutions in 2 countries.

Martin CousineauComputer Science Department, Université de Sherbrooke, Sherbrooke, QC, Canada.
Pierre-Marc JodoinComputer Science Department, Université de Sherbrooke, Sherbrooke, QC, Canada.
Félix C MorencyImeka Solutions Inc., Sherbrooke, QC, Canada.
Verena RozanskiDepartment of Neurology, Klinikum Grosshadern, University of Munich, Germany.
Marilyn Grand'MaisonBiospective Inc., Montréal, QC, Canada.
Barry J BedellBiospective Inc., Montréal, QC, Canada.
Maxime DescoteauxComputer Science Department, Université de Sherbrooke, Sherbrooke, QC, Canada.
Université de Sherbrooke · CAIndiana University Bloomington · USMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we propose a diffusion MRI protocol for mining Parkinson's disease diffusion MRI datasets and recover robust disease-specific biomarkers. Using advanced high angular resolution diffusion imaging (HARDI) crossing fiber modeling and tractography robust to partial volume effects, we automatically dissected 50 white matter (WM) fascicles. These fascicles connect deep nuclei (thalamus, putamen, pallidum) to different cortical functional areas (associative, motor, sensorimotor, limbic), basal forebrain and substantia nigra. Then, among these 50 candidate WM fascicles, only the ones that passed a test-retest reproducibility procedure qualified for further tractometry analysis. Leveraging the unique 2-timepoints test-retest Parkinson's Progression Markers Initiative (PPMI) dataset of over 600 subjects, we found statistically significant differences in tract profiles along the subcortico-cortical pathways between Parkinson's disease patients and healthy controls. In particular, significant increases in FA, apparent fiber density, tract-density and generalized FA were detected in some locations of the nigro-subthalamo-putaminal-thalamo-cortical pathway. This connection is one of the major motor circuits balancing the coordination of motor output. Detailed and quantifiable knowledge on WM fascicles in these areas is thus essential to improve the quality and outcome of Deep Brain Stimulation, and to target new WM locations for investigation.

Indexed as

BiomarkersBrainDatabases, FactualData MiningDiffusion Magnetic Resonance ImagingFemaleHumansMaleMiddle AgedNeural PathwaysParkinson DiseaseReproducibility of ResultsWhite MatterBiomarkersDiffusionMRIParkinsonTest-retestTractographyTractometryWhite matter

Identifiers

PMID28794981
PMCPMC5547250
OpenAlexW2739464459

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.