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Multisite resting-state fMRI Initiative (PsyMRI)
  • Slide 1
  • PsyMRI is aimed at a multicenter-based utilization of already existing resting-state magnetic resonance data with a focus on major depressive disorder (MDD) and neurodegenerative diseases.

    By sharing datasets between collaborating sites, problems concerning the acquisistion of suitable subjects can be overcome. Compared to healthy controls the measurement of patients via magnetic resonance imaging is complicated due to inclusion criteria. Moreover the number of patients in some uncommon psychiatric or neurodegenerative diseases is substantially limited in general.

    Exchanging datasets that have been collected in different scanning sites allows for a higher sample size to be included in studies. Furthermore statistical validations of hypotheses and group effects as well as replications of results and meta-analyses can be carried out on larger datasets.

    Aggregating existing datasets is therefore thought to advance sctientific knowledge and promote progress concerning diagnosis and treatment of psychiatric and neurodegenerative diseases like depression and dementia.

    Membership is achieved by signing the agreement for the multicenter use of existing imaging data and compliance with the minimum requirements specified therein. Rules concerning authorship in publications based on the consortial dataset are also included in this agreement. Local datasets can only be included if they have been acquired with approval from the local ethics comittee and included subjects gave written informed consent.
    Ownership of the data remains with the providing member of the Consortium. PsyMRI is not a free data sharing initiative as included datasets are only accessible for members of the Consortium.

    The submission of rs-MRI data and accompanying metadata is managed via the web-based data storage system XNAT (Extensible Neuroimaging Archive Toolkit ) where compressed DICOM raw data and spreadsheet documents can be uploaded. Datasets are then stored on a physically separated server. For integration into the XNAT structure, datasets will be validated and subjected to an anonymization process (defacing). Optionally preprocessing procedures of the MRI data can be centralized and automated. Access to the files in the XNAT structure is then only granted to full members of the Consortium.

    Current members of the PsyMRI Consortium

    Matthew P. Hyett, PhD

    Research Fellow
    School of Psychology and Speech Pathology
    Kent Street Bentley WA 6102
    Curtin University, Perth

    Guido van Wingen, PhD

    Neuroimaging in Psychiatry
    Department of Psychiatry
    Academic Medical Center
    Meibergdreef 5
    1105 AZ Amsterdam
    The Netherlands

    Prof. Henrik Walter

    Klinik für Psychiatrie und Psychotherapie
    Charité Universitätsmedizin Berlin, Campus Mitte
    Charitéplatz 1
    10117 Berlin

    Prof. Thomas Frodl

    Klinik für Psychiatrie und Psychotherapie
    Head of Department
    Leipzigerstr. 44
    39120 Magdeburg

    Philipp Sämann, MD

    Max Planck Institute of Psychiatry
    Neuroimaging Core Unit
    Kraepelinstr. 2-10
    80804 Munich

    Prof. Ben Harrison

    Melbourne Neuropsychiatry Centre
    Department of Psychiatry
    The University of Melbourne
    161 Barry St. Carlton, VIC 3053

    Prof. Klaus Berger

    Institute of Epidemiology and Social Medicine
    University of Muenster
    Domagkstr. 3
    48129 Münster

    Prof. Udo Dannlowski

    Translational Psychiatry
    Department of Psychiatry
    Albert-Schweitzer-Campus 1
    48149 Münster

    Simone Grimm, PhD

    Charité Centrum Neurologie, Neurochirurgie und Psychiatrie
    Affektive Neurowissenschaften und Emotionsmodulation
    Hindenburgdamm 30
    12203 Berlin

    Sebastian Olbrich, MD

    Universitätsklinik Zürich
    Klinik für Psychiatrie, Psychotherapie und Psychosomatik
    Lenggstrasse 31
    8032 Zürich

    Prof. Robert Christian Wolf

    Universität Heidelberg
    Klinik für Allgemeine Psychiatrie
    Voßstr. 2
    69115 Heidelberg

    Prof. Lukas Pezawas

    Department of Psychiatry and Psychotherapy
    Clinical Neuroimaging
    Medical University of Vienna
    Waehringer Guertel 18-20
    1090 Vienna

    Gerd Wagner, PhD

    Psychiatric Brain & Body Research Group
    Department of Psychiatry and Psychotherapy
    Jena University Hospital
    Philosophenweg 3
    07743 Jena

    Tim Hahn, PhD

    Department of Cognitive Psychology II
    Goethe-University Frankfurt
    Theodor-W.-Adorno-Platz 6
    60323 Frankfurt/Main

    Chuanjun Zhuo, PhD

    Tianjin Anning Hospital
    Tianjin City 300300

    Prof. Martin Walter

    Clinical Affective Neuroimaging Laboratory
    Haus 65
    Leipziger Str. 44
    39120 Magdeburg

    Prof. Stefan Teipel

    German Center for Neurodegenerative Diseases (DZNE)
    Gehlsheimer Str. 20
    18147 Rostock

    Stefan Klöppel, MD

    Department of Psychiatry and Psychotherapy
    Freiburg University Medical Center
    Hauptstraße 5
    79104 Freiburg

    Timo Grimmer, MD

    Department of Psychiatry and Psychotherapy
    Klinikum rechts der Isar
    TU Munich
    Ismaninger Straße 22
    81675 München

    Christian Sorg, MD

    Department of Neuroradiology
    Klinikum rechts der Isar
    TU Munich
    Ismaninger Straße 22
    81675 München

    Prof. Michael Ewers

    Institute for Stroke and Dementia Research
    Klinikum der Universität München
    Feodor-Lynen-Straße 17
    81377 München

    Matthew D. Sacchet, PhD

    Department of Psychiatry and Behavioral Sciences
    Stanford University
    Stanford, California 94305

    Ian H. Gotlib, PhD

    David Starr Jordan Professor and Chair
    Department of Psychology
    Stanford University
    Stanford, California 94305


    Current Projects

    • Quality control of resting-state data
    • Control of site effects
    • Resting-state signatures of depression
    • Resting-state in dementia
    • Transdiagnostic markers
    • Novel resting-state analysis tools
    • Structure-function relationship


    Consortium Board
    PsyMRI Administration
    Data management
    Data Analysis


    Prof. Dr. Martin Walter
    Translational Psychiatry
    General Psychiatry and Psychotherapy
    University Hospital Tübingen
    Calwerstr. 14
    72076 Tübingen
    Email: martin.walter@uni-tuebingen.de
    Telephone: +49 7071 29-86119
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