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Regional changes of fractional anisotropy with normal aging using Statistical Parametric Mapping (SPM)
- Source :
- The journal of medical investigation : JMI. 52(3-4):186-190
- Publication Year :
- 2005
-
Abstract
- Objective: There has been reports on the usefulness of diffusion tensor imaging (DTI) about age-or disease-related degradation. DTI is generally evaluated by the region of interest (ROI) methodology. In this study, we applied a statistical way using Statistical Parametric Mapping (SPM) to assess normal aging by DTI and compared results of these two methods.Methods: Ten young and ten senior normal volunteers were examined. On SPM, tensor images were changed into normalized tensor images. They were compared between the two groups by t-test.Results: In the senior group, fractional anisotropy (FA) values were higher on the basal ganglia, cingulated gyrus and other cortical gray matter, lower in the corona radiata, internal capsule, centrum semiovale and corpus callosum by using SPM. In the ROI method, the results were almost compatible except in the brain periphery.Conclusions: Aging changes on water diffusion anisotropy was clearly shown by SPM method which would be useful to evaluate change of water diffusion anisotropy without operator bias even in clinical setting instead of ROI measurement. J. Med. Invest. 52: 186-190, August, 2005
- Subjects :
- Adult
Male
Aging
Biometry
diffusion tensor image
Corpus callosum
Statistical parametric mapping
General Biochemistry, Genetics and Molecular Biology
magnetic resonace imaging
Nuclear magnetic resonance
Gyrus
Region of interest
Fractional anisotropy
Centrum semiovale
medicine
Humans
Anisotropy
Mathematics
Aged
Brain Mapping
Brain
Statistical Parametric Mapping
General Medicine
Middle Aged
Magnetic Resonance Imaging
medicine.anatomical_structure
normal aging
nervous system
Female
Diffusion MRI
Subjects
Details
- Language :
- English
- ISSN :
- 13431420
- Volume :
- 52
- Issue :
- 3-4
- Database :
- OpenAIRE
- Journal :
- The journal of medical investigation : JMI
- Accession number :
- edsair.doi.dedup.....5f29e5102871d554448ae75cd4c3465c