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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Evidence for cervical cord tissue disorganisation with aging by diffusion tensor MRI
Federica Agosta1, Marcella Laganà, Paola Valsasina
1Neuroimaging Research Unit, Department of Neurology, Scientific Institute and University Ospedale San Raffaele, Milan, Italy.
Neuroimage
|May 11, 2007
Summary
Normal aging affects the cervical cord, decreasing its fractional anisotropy (FA) and suggesting gliosis. Brain changes also correlate with age, but cervical cord abnormalities are distinct.
Area of Science:
- Neuroimaging
- Aging Research
- Spinal Cord Anatomy
Background:
- Normal aging impacts central nervous system structure and function.
- Cervical cord aging changes are not well understood.
- Association between brain and cervical cord aging is unclear.
Purpose of the Study:
- Investigate age-related changes in cervical cord volumetry and diffusivity.
- Assess MRI-detected abnormalities in the aging brain and cervical cord.
- Determine if brain and cervical cord aging abnormalities are associated.
Main Methods:
- Acquired conventional and diffusion tensor MRI of brain and cervical cord from 96 healthy subjects (13-70 years).
- Measured cervical cord cross-sectional area, mean diffusivity (MD), and fractional anisotropy (FA).
- Obtained brain white matter (WM) and grey matter (GM) volumetry and diffusivity metrics.
Main Results:
- Cervical cord FA significantly correlated with age (r=-0.70, p<0.001), unlike MD and cross-sectional area.
- Brain metrics including T2 lesion volume, normalized brain volume (NBV), GM volumes, and MD also correlated with age.
- Multivariate analysis identified cord FA, normalized cortical GM volume, and NBV as independent correlates of age (r2=0.76).
Conclusions:
- The aging cervical cord shows decreased FA without atrophy or MD changes, suggesting gliosis.
- Cervical cord is vulnerable to aging processes.
- Aging impacts both the brain and cervical cord, with distinct but partially correlated changes.
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