Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study.

Saved in:
Bibliographic Details
Title: Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study.
Authors: Germani E; Univ Rennes, Inria, CNRS, Inserm, Rennes, France., Bhagwat N; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada., Dugré M; Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada., Gau R; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada., Montillo AA; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, United States of America., Nguyen KP; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, United States of America., Sokolowski A; Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada., Sharp M; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada., Poline JB; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada., Glatard T; Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada.
Source: PloS one [PLoS One] 2025 Feb 21; Vol. 20 (2), pp. e0317566. Date of Electronic Publication: 2025 Feb 21 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 39982930
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Germani+E%22">Germani E</searchLink>; Univ Rennes, Inria, CNRS, Inserm, Rennes, France.<br /><searchLink fieldCode="AU" term="%22Bhagwat+N%22">Bhagwat N</searchLink>; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada.<br /><searchLink fieldCode="AU" term="%22Dugré+M%22">Dugré M</searchLink>; Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada.<br /><searchLink fieldCode="AU" term="%22Gau+R%22">Gau R</searchLink>; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada.<br /><searchLink fieldCode="AU" term="%22Montillo+AA%22">Montillo AA</searchLink>; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, United States of America.<br /><searchLink fieldCode="AU" term="%22Nguyen+KP%22">Nguyen KP</searchLink>; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, United States of America.<br /><searchLink fieldCode="AU" term="%22Sokolowski+A%22">Sokolowski A</searchLink>; Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada.<br /><searchLink fieldCode="AU" term="%22Sharp+M%22">Sharp M</searchLink>; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada.<br /><searchLink fieldCode="AU" term="%22Poline+JB%22">Poline JB</searchLink>; Department of Neurology and Neurosurgery, McGill University, Montreal, Canada.<br /><searchLink fieldCode="AU" term="%22Glatard+T%22">Glatard T</searchLink>; Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2025 Feb 21; Vol. 20 (2), pp. e0317566. <i>Date of Electronic Publication: </i>2025 Feb 21 (<i>Print Publication: </i>2025).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39982930
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1371/journal.pone.0317566
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: e0317566
    Titles:
      – TitleFull: Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Germani E
      – PersonEntity:
          Name:
            NameFull: Bhagwat N
      – PersonEntity:
          Name:
            NameFull: Dugré M
      – PersonEntity:
          Name:
            NameFull: Gau R
      – PersonEntity:
          Name:
            NameFull: Montillo AA
      – PersonEntity:
          Name:
            NameFull: Nguyen KP
      – PersonEntity:
          Name:
            NameFull: Sokolowski A
      – PersonEntity:
          Name:
            NameFull: Sharp M
      – PersonEntity:
          Name:
            NameFull: Poline JB
      – PersonEntity:
          Name:
            NameFull: Glatard T
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 21
              M: 02
              Text: 2025 Feb 21
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1932-6203
          Numbering:
            – Type: volume
              Value: 20
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: PloS one
              Type: main
ResultId 1