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Magnetic Resonance Imaging01:24

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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The Psychosis MRI Shared Data Resource (Psy-ShareD).

Paul Allen1,2, Mariana Zurita1, Rubaida Easmin1

  • 1Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

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|February 21, 2025
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Summary
This summary is machine-generated.

The Psychosis MRI Shared Data Resource (Psy-ShareD) provides open access to harmonized structural MRI data from diverse global psychosis patients. This initiative aims to overcome limitations in previous neuroimaging studies by enabling broader research and collaboration.

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Area of Science:

  • Neuroimaging
  • Psychiatry
  • Data Science

Background:

  • Structural magnetic resonance imaging (MRI) studies in schizophrenia and psychotic disorders have yielded inconsistent findings due to small sample sizes and varied methodologies.
  • Previous multicentre initiatives have advanced the field but often focused on limited illness stages, patient heterogeneity, and lacked global representation.
  • Access to existing neuroimaging datasets is frequently restricted, particularly for researchers in low-income countries.

Purpose of the Study:

  • To establish an open-access platform for sharing structural MRI data across multiple global sites, including the Global South.
  • To facilitate comprehensive neuroanatomical marker research in psychosis by providing harmonized data with rich associated clinical information.
  • To promote equitable access to neuroimaging data and foster capacity building in psychosis research worldwide.

Main Methods:

  • The Psychosis MRI Shared Data Resource (Psy-ShareD) will aggregate pre-existing structural T1-weighted MRI data from diverse international sites.
  • Data will be harmonized using advanced techniques and made available in both image and feature-level formats.
  • Associated demographic, diagnostic, symptom, medication, cognitive, and IQ data will be linked to the MRI scans.

Main Results:

  • Psy-ShareD will offer free access to a large, harmonized, and globally representative collection of structural MRI data for psychosis research.
  • The resource will enable detailed subgroup and dimensional analyses by linking neuroimaging data with comprehensive clinical and cognitive measures.
  • The platform aims to significantly enhance the scope and inclusivity of neuroimaging research in psychotic disorders.

Conclusions:

  • Psy-ShareD addresses critical limitations in psychosis neuroimaging research by providing open, global, and harmonized data.
  • This initiative will empower researchers, especially early-career scientists and those in underrepresented regions, to conduct advanced analyses.
  • The project actively seeks collaborators to expand the dataset and foster a more inclusive and productive research community.