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Structural MRI measures brain morphometry.
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Before and after training, we measured gray matter voxel brain morphometry based on T1 structural magnetic resonance imaging.
In this work, we aim to establish a relationship between blood Aβ levels obtained using these novel ELISA techniques and brain morphometry measured using MRI in healthy and cognitively impaired individuals.
The advent of voxel-based morphometry (VBM) was of crucial importance in this sense, as VBM represents an automated method of measuring whole-brain morphometry by comparing groups of images on the relative local concentration or density of gray or white matter in a voxel-by-voxel way, thus reducing investigator bias and providing highly reproducible results, among other benefits [ 26- 28].
Studies using magnetic resonance imaging (MRI) have consistently reported associations between brain morphometry and cognitive ability; the majority of these studies used voxel-based morphometry (VBM) to measure local gray and white matter volume across the entire brain.
Regional brain morphometry predicts memory rehabilitation outcome after traumatic brain injury.
Regional brain morphometry and impulsivity in adolescents following prenatal exposure to cocaine and tobacco.
One project, called the Brain Morphometry BIRN, involves pooling and processing magnetic resonance imaging data to look for early anatomical and functional precursors of Alzheimer's disease.
In this paper, we introduce the first fully automatic brain morphometry method based on the study of the spatial organization of sulcal pits – Structural Graph-Based Morphometry (SGBM).
Secondly, we present the first searchlight scheme dedicated to brain morphometry, yielding dense information maps covering the full cortical surface.
The ability to study changes in brain morphometry in longitudinal studies majorly depends on the accuracy and reproducibility of the brain tissue quantification.
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