Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology.

Saved in:
Bibliographic Details
Title: Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology.
Authors: Jiang JC; Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia. j.jiang@uq.edu.au., Brianceau C; Sorbonne University, Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, F-75013, Paris, France., Delzant E; Sorbonne University, Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, F-75013, Paris, France., Colle R; Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Mood Center Paris Saclay, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre, F-94275, France.; MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre, F-94275, France., Bottemanne H; Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Mood Center Paris Saclay, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre, F-94275, France.; MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre, F-94275, France., Corruble E; Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Mood Center Paris Saclay, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre, F-94275, France.; MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre, F-94275, France., Wray NR; Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia.; Department of Psychiatry, University of Oxford, Oxford, UK., Colliot O; Sorbonne University, Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, F-75013, Paris, France., Shah S; Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia., Couvy-Duchesne B; Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia.; Sorbonne University, Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, F-75013, Paris, France.; Brain & Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.; School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
Source: Translational psychiatry [Transl Psychiatry] 2026 Feb 25; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 25.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101562664 Publication Model: Electronic Cited Medium: Internet ISSN: 2158-3188 (Electronic) Linking ISSN: 21583188 NLM ISO Abbreviation: Transl Psychiatry Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41741408
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Jiang+JC%22">Jiang JC</searchLink>; Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia. j.jiang@uq.edu.au.<br /><searchLink fieldCode="AU" term="%22Brianceau+C%22">Brianceau C</searchLink>; Sorbonne University, Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, F-75013, Paris, France.<br /><searchLink fieldCode="AU" term="%22Delzant+E%22">Delzant E</searchLink>; Sorbonne University, Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, F-75013, Paris, France.<br /><searchLink fieldCode="AU" term="%22Colle+R%22">Colle R</searchLink>; Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Mood Center Paris Saclay, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre, F-94275, France.; MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre, F-94275, France.<br /><searchLink fieldCode="AU" term="%22Bottemanne+H%22">Bottemanne H</searchLink>; Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Mood Center Paris Saclay, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre, F-94275, France.; MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre, F-94275, France.<br /><searchLink fieldCode="AU" term="%22Corruble+E%22">Corruble E</searchLink>; Service Hospitalo-Universitaire de Psychiatrie de Bicêtre, Mood Center Paris Saclay, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Paris-Saclay, Hôpital de Bicêtre, Le Kremlin Bicêtre, F-94275, France.; MOODS Team, INSERM 1018, CESP (Centre de Recherche en Epidémiologie et Santé des Populations), Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Le Kremlin Bicêtre, F-94275, France.<br /><searchLink fieldCode="AU" term="%22Wray+NR%22">Wray NR</searchLink>; Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia.; Department of Psychiatry, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Colliot+O%22">Colliot O</searchLink>; Sorbonne University, Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, F-75013, Paris, France.<br /><searchLink fieldCode="AU" term="%22Shah+S%22">Shah S</searchLink>; Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia.<br /><searchLink fieldCode="AU" term="%22Couvy-Duchesne+B%22">Couvy-Duchesne B</searchLink>; Institute for Molecular Bioscience, The University of Queensland, St Lucia, QLD, Australia.; Sorbonne University, Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, F-75013, Paris, France.; Brain & Mental Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.; School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101562664%22">Translational psychiatry</searchLink> [Transl Psychiatry] 2026 Feb 25; Vol. 16 (1). <i>Date of Electronic Publication: </i>2026 Feb 25.
– 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="%22Nature+Pub%2E+Group%22">Nature Pub. Group </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101562664 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2158-3188 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2221583188%22">21583188 </searchLink><i>NLM ISO Abbreviation: </i>Transl Psychiatry <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41741408
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41398-026-03889-8
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Applying machine-learning and deep-learning to predict depression from brain MRI and identify depression-related brain biology.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Jiang JC
      – PersonEntity:
          Name:
            NameFull: Brianceau C
      – PersonEntity:
          Name:
            NameFull: Delzant E
      – PersonEntity:
          Name:
            NameFull: Colle R
      – PersonEntity:
          Name:
            NameFull: Bottemanne H
      – PersonEntity:
          Name:
            NameFull: Corruble E
      – PersonEntity:
          Name:
            NameFull: Wray NR
      – PersonEntity:
          Name:
            NameFull: Colliot O
      – PersonEntity:
          Name:
            NameFull: Shah S
      – PersonEntity:
          Name:
            NameFull: Couvy-Duchesne B
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 25
              M: 02
              Text: 2026 Feb 25
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 2158-3188
          Numbering:
            – Type: volume
              Value: 16
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Translational psychiatry
              Type: main
ResultId 1