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Longitudinal, region-specific course of diffusion tensor imaging measures in mild cognitive impairment and Alzheimer’s disease
Open accessAbstract
BACKGROUND: Diffusion tensor imaging (DTI) is a promising method for identifying significant cross-sectional differences of white-matter tracts in normal controls (NC) and those with mild cognitive impairment (MCI) or Alzheimer's disease (AD). There have not been many studies establishing its longitudinal utility. METHODS: Seventy-five participants (25 NC, 25 amnestic MCI, and 25 AD) had 3-Tesla MRI scans and clinical evaluations at baseline and 3, 6, and 12 months. Fractional anisotropy (FA) and mean diffusivity (MD) were analyzed at each time-point and longitudinally in eight a priori-selected areas taken from four regions of interest (ROIs). RESULTS: Cross-sectionally, MD values were higher, and FA values lower in the fornix and splenium of the AD group compared with either MCI or NC (P < .01). Within-group change was more evident in MD than in FA over 12 months: MD increased in the inferior, anterior cingulum, and fornix in both the MCI and AD groups (P < .01). CONCLUSIONS: There were stable, cross-sectional, region-specific differences between the NC and AD groups in both FA and MD at each time-point over 12 months. Longitudinally, MD was a better indicator of change than FA. Significant increases of fornix MD in the MCI group suggest this is an early indicator of progression.
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“For all analyses, we used mean diffusivity as our primary DTI measure in autosomal-dominant Alzheimer’s disease, since previous studies found mean diffusivity to be the most sensitive DTI marker to detect fibre tract alterations (Clerx et al., 2012; Nowrangi et al., 2013).”
From White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease (2018) · cites this paper as Nowrangi et al., 2013
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- Zhang Y, 2007, Diffusion tensor imaging of cingulum fibers in mild cognitive impairment and Alzheimer disease, Neurology, 68, 13, 10.1212/01.wnl.0000250326.77323.01 · DOI
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“For all analyses, we used mean diffusivity as our primary DTI measure in autosomal-dominant Alzheimer’s disease, since previous studies found mean diffusivity to be the most sensitive DTI marker to detect fibre tract alterations (Clerx et al., 2012; Nowrangi et al., 2013).”
MethodLongitudinal changes in microstructural white matter metrics in Alzheimer's disease
Mayo, C. D., Mazerolle, E. L., Ritchie, L. J., Fisk, J. D., & Gawryluk, J. R. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.12.012 · Cited by 159
Metadata
- Authors
- Nowrangi, M. A., Lyketsos, C. G., Leoutsakos, J. S., Oishi, K., Albert, M., Mori, S., & Mielke, M. M.
- Affiliations
- Johns Hopkins University (US)
- Mayo Clinic (US)
- Corresponding author
- Nowrangi, Milap A.
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2012-12-14
- Volume
- 9
- Issue
- 5
- Pages
- 519-528
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC3639296
- OpenAlex
- W2030309279
- Cited by
- 120
- References
- 64
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 5 · 2023: 11 · 2022: 3 · 2021: 7 · 2020: 13 · 2019: 11 · 2018: 12 · 2017: 6 · 2016: 7 · 2015: 16 · 2014: 7 · 2013: 5
- FWCI
- 6.36
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- GlaxoSmithKline
- National Institute on Aging (P50-AG005146, P50-AG021334, R21 AG033774)
- National Institutes of Health (R21AG033774, P50AG005146)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- mild cognitive impairment, Alzheimer's disease
- MeSH terms
- Aged, Alzheimer Disease, Brain, Female, Humans, Image Interpretation, Computer-Assisted, Longitudinal Studies, Male, Nerve Fibers, Myelinated, Anisotropy, Diffusion Magnetic Resonance Imaging, Cognitive Dysfunction
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