Head size, age and gender adjustment in MRI studies: a necessary nuisance?
By Josephine Barnes, Gerard R. Ridgway, Jonathan W. Bartlett, Susie M.D. Henley, Manja Lehmann, Nicola Z. Hobbs, Matthew J. Clarkson, David G. MacManus, Sébastien Ourselin, Nick C Fox. NeuroImage, 2010
523 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/1687c6f1123cd5d085d70df1e99b661d18a21e0c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Robert Dahnke
- Eileen Luders
- Christian Gaser
- the Alzheimer’s Disease Neuroimaging Initiative
- Florian Kurth
- Paul M. Thompson
- Arthur W. Toga
- Alan C. Evans
In Radiology, Nuclear Medicine and Imaging
- Robert Dahnke
- Eileen Luders
- Christian Gaser
- the Alzheimer’s Disease Neuroimaging Initiative
- Florian Kurth
- Paul M. Thompson
- Bernd Weber
- H. Plassmann
Citations in the corpus
- CAT: a computational anatomy toolbox for the analysis of structural MRI data (2024, methodology): “Since cortical thickness does not scale with brain size [ 39 ], no corrections for TIV were applied for the SBM and the surface-based ROI analyses.”
- Accurate automatic estimation of total intracranial volume: A nuisance variable with less nuisance (2015, unknown): “Manual measurement of a covariate is an additional burden to the measurement of the variable of interest (such as ROI delineation).”