Editorial for "Reliability of Changes in Brain Volume Determined by Longitudinal Voxel-Based Morphometry".

Refaat E Gabr
Author Information
  1. Refaat E Gabr: Department of Diagnostic and Interventional Imaging, The University of Texas Health Science Center at Houston, Houston, Texas, USA. ORCID

Abstract

No abstract text available.

References

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  6. Schnack HG, van Haren NEM, Brouwer RM, et al. Mapping reliability in multicenter MRI: Voxel-based morphometry and cortical thickness. Hum Brain Mapp 2010;31:1967-1982.
  7. Cannon TD, Sun F, McEwen SJ, et al. Reliability of neuroanatomical measurements in a multisite longitudinal study of youth at risk for psychosis. Hum Brain Mapp 2014;35:2424-2434.
  8. Seiger R, Hahn A, Hummer A, et al. Voxel-based morphometry at ultra-high fields. A comparison of 7 T and 3 T MRI data. Neuroimage 2015;113:207-216.
  9. Takao H, Amemiya S, Osamu A. Reliability of changes in brain volume determined by longitudinal voxel-based morphometry. J Magn Reson Imaging 2021;54:609-616.
  10. Jack Jr CR, Bernstein MA, Fox NC, et al. The Alzheimer's disease neuroimaging initiative (ADNI): MRI methods. J Magn Reson Imaging 2008;27:685-691.

MeSH Term

Gray Matter
Humans
Magnetic Resonance Imaging
Reproducibility of Results

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