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Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).
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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Related Experiment Video

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High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
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Published on: May 10, 2012

Mapping the human brain: new insights from FMRI data sharing.

John Darrell Van Horn1, Alumit Ishai

  • 1Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, 635 Charles E. Young Drive SW, Suite 225, Los Angeles, CA 90095-7334, USA. jvanhorn@lini.ucla.edu

Neuroinformatics
|October 6, 2007
PubMed
Summary

Neuroscience data sharing, particularly fMRI studies, offers significant value. Secondary analyses of shared brain imaging data yield novel insights and foster scientific collaboration.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Neuroimaging

Background:

  • The sharing of primary neuroscience data is debated, with concerns about researcher burden versus potential scientific value.
  • The fMRI Data Center was established to facilitate open sharing of neuroimaging data from peer-reviewed publications.

Purpose of the Study:

  • To demonstrate the value of data sharing in neuroscience through a case study of an fMRI study.
  • To showcase how secondary analyses of shared neuroimaging data can lead to new discoveries.

Main Methods:

  • The study involved the deposition of fMRI data from a 2000 publication on object representation in the human visual cortex into the fMRI Data Center.
  • Independent investigators performed secondary analyses using various methods, including philosophical inquiry and advanced neuroimaging analysis tools like Dynamic Causal Modeling.

Main Results:

  • The shared fMRI dataset was frequently downloaded, indicating its utility.
  • Secondary analyses revealed novel findings not present in the original study, offered new perspectives on visual perception, and generated new hypotheses.
  • These re-analyses led to new collaborations and high-profile publications.

Conclusions:

  • Successful data sharing in neuroscience, exemplified by the fMRI Data Center, enhances scientific progress by enabling secondary analyses.
  • Shared neuroimaging data provides long-term value, fostering new discoveries, collaborations, and advancing cognitive science.