Measuring the thickness of the human cerebral cortex from magnetic resonance images
AUTOR(ES)
Fischl, Bruce
FONTE
The National Academy of Sciences
RESUMO
Accurate and automated methods for measuring the thickness of human cerebral cortex could provide powerful tools for diagnosing and studying a variety of neurodegenerative and psychiatric disorders. Manual methods for estimating cortical thickness from neuroimaging data are labor intensive, requiring several days of effort by a trained anatomist. Furthermore, the highly folded nature of the cortex is problematic for manual techniques, frequently resulting in measurement errors in regions in which the cortical surface is not perpendicular to any of the cardinal axes. As a consequence, it has been impractical to obtain accurate thickness estimates for the entire cortex in individual subjects, or group statistics for patient or control populations. Here, we present an automated method for accurately measuring the thickness of the cerebral cortex across the entire brain and for generating cross-subject statistics in a coordinate system based on cortical anatomy. The intersubject standard deviation of the thickness measures is shown to be less than 0.5 mm, implying the ability to detect focal atrophy in small populations or even individual subjects. The reliability and accuracy of this new method are assessed by within-subject test–retest studies, as well as by comparison of cross-subject regional thickness measures with published values.
ACESSO AO ARTIGO
http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=27146Documentos Relacionados
- Dynamic mapping of the human visual cortex by high-speed magnetic resonance imaging.
- Illusory contours activate specific regions in human visual cortex: evidence from functional magnetic resonance imaging.
- Correlation between voxel based morphometry and manual volumetry in magnetic resonance images of the human brain
- Magnetic resonance imaging of experimental cerebral oedema.
- Activation of human primary visual cortex during visual recall: a magnetic resonance imaging study.