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Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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Function biomedical informatics research network recommendations for prospective multicenter functional MRI studies.

Gary H Glover1, Bryon A Mueller, Jessica A Turner

  • 1Department of Radiology, Stanford University, Stanford, California, USA. gary.glover@stanford.edu

Journal of Magnetic Resonance Imaging : JMRI
|February 9, 2012
PubMed
Summary
This summary is machine-generated.

Conducting multicenter functional MRI (MC-fMRI) studies requires careful planning. This guide offers practical recommendations for unifying hardware, software, and procedures to accelerate scientific discovery in fMRI research.

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Area of Science:

  • Neuroimaging
  • Biomedical Informatics
  • Clinical Research

Background:

  • Multicenter functional MRI (MC-fMRI) studies present unique complexities.
  • The Function Biomedical Informatics Research Network (FBIRN) received numerous requests for guidance on conducting MC-fMRI studies.

Purpose of the Study:

  • To provide practical recommendations for the design and execution of MC-fMRI studies.
  • To share collective experiences from the FBIRN network to improve MC-fMRI study conduct.

Main Methods:

  • Establishing and verifying scan parameters across different scanner types and magnetic fields.
  • Implementing a scanner quality assurance program and standardized training for personnel.
  • Developing consistent task paradigms, documentation, and data management protocols.
  • Utilizing a traveling fMRI expert and establishing procedures for collective data analysis and dissemination.

Main Results:

  • Successful MC-fMRI studies depend on careful attention to hardware, software, and procedural unification.
  • Standardized protocols enhance data consistency and reliability across multiple sites.
  • Effective data management and analysis strategies are crucial for MC-fMRI research.

Conclusions:

  • Well-organized MC-fMRI studies can effectively access diverse participant demographics.
  • Unification of technical and procedural aspects accelerates scientific discovery in neuroimaging.
  • FBIRN's recommendations offer a framework for successful collaborative fMRI research.