Journal
FRONTIERS IN NEUROSCIENCE
Volume 8, Issue -, Pages -Publisher
FRONTIERS RESEARCH FOUNDATION
DOI: 10.3389/fnins.2014.00356
Keywords
magnetic resonance imaging; intracranial volume; nonlinear model; power function; power-proportion correction
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Funding
- NINDS NIH HHS [R01 NS040068] Funding Source: Medline
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In volumetric brain imaging analysis, volumes of brain structures are typically assumed to be proportional or linearly related to intracranial volume (ICV). However, evidence abounds that many brain structures have power law relationships with ICV. To take this relationship into account in volumetric imaging analysis, we propose a power law based method the power-proportion method-for ICV correction. The performance of the new method is demonstrated using data from the PREDICT-HD study.
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