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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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Basics of Multivariate Analysis in Neuroimaging Data
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Mapping reliability in multicenter MRI: voxel-based morphometry and cortical thickness.

Hugo G Schnack1, Neeltje E M van Haren, Rachel M Brouwer

  • 1Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands. h.schnack@umcutrecht.nl

Human Brain Mapping
|November 19, 2010
PubMed
Summary
This summary is machine-generated.

New methods assess multicenter MRI reliability for voxel-based morphometry (VBM) and cortical thickness (CORT) studies. These tools improve the power of multisite neuroimaging analyses for detecting group differences and estimating heritability.

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Area of Science:

  • Neuroimaging
  • Radiology
  • Biostatistics

Background:

  • Multicenter structural MRI studies offer increased statistical power.
  • However, cross-site variations in image quality can compromise data integrity.
  • Existing methods lack robust assessment for multisite voxel-based morphometry (VBM) and cortical thickness (CORT) analyses.

Purpose of the Study:

  • To develop quantitative methods for assessing the reliability and statistical power of multisite VBM and CORT analyses.
  • To evaluate the impact of scanner and protocol variability on neuroimaging data.
  • To facilitate the design and analysis of more sensitive multisite neuroimaging studies.

Main Methods:

  • Developed novel quantitative methods to assess reproducibility and power for VBM and CORT in multicenter settings.
  • Generated brain maps illustrating lowest detectable effect size and effective sample size.
  • Applied methods to a five-site calibration study with diverse scanners and protocols.

Main Results:

  • Reliability maps indicated good inter-site comparability and enhanced sensitivity in most brain regions.
  • Scan pooling improved heritability estimates in large parts of the cerebrum and cortex.
  • Optimal-pool analysis identified specific sites whose exclusion could improve results; identified brain regions with inherent measurement challenges.

Conclusions:

  • The developed tools enable robust assessment of multisite VBM and CORT study reliability and power.
  • These methods will aid in optimizing the design and analysis of multisite neuroimaging studies for group difference detection and heritability estimation.
  • Facilitates improved understanding of brain structure variations across diverse populations and sites.