White matter integrity linked to functional impairments in aging and early Alzheimer’s disease
Open accessAbstract
Background: Alzheimer's disease (AD) is associated with changes in cerebral white matter (WM), but the functional significance of such findings is not yet established. We hypothesized that diffusion tensor imaging (DTI) might reveal links between regional WM changes and specific neuropsychologically and psychophysically defined impairments in early AD. Methods: Older adult control subjects (OA, n = 18) and mildly impaired AD patients (n = 14) underwent neuropsychological and visual perceptual testing along with DTI of cerebral WM. DTI yielded factional anisotropy (FA) and mean diffusivity (〈D〉) maps for nine regions of interest in three brain regions that were then compared with the performance measures. Results: AD patients exhibited nonsignificant trends toward lower FAs in the posterior region's callosal and subcortical regions of interest. However, posterior callosal FA was significantly correlated with verbal fluency and figural memory impairments, whereas posterior subcortical FA was correlated with delayed verbal memory, figural memory, and optic flow perceptual impairments. Conclusions: WM changes in early AD are concentrated in posterior cerebral areas, with distributions that correspond to specific functional impairments. DTI can be used to assess regional pathology related to individual's deficits in early AD.
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Lower FADTI and higher MDDTI are most frequently reported in studies of AD.
“Lower FADTI and higher MDDTI are most frequently reported in studies of AD (Kavcic et al., 2008; Clerx et al., 2012; Nir et al., 2013; Maggipinto et al., 2017; Mayo et al., 2017)”
From Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3 (2019) · cites this paper as Kavcic et al., 2008
The Results (Linking Performance and DTI; page unavailable) identify decreased FA in posterior regions as distinguishing the AD and older-adult groups. But the DTI Analyses report no statistically significant group difference in either FA or mean diffusivity after correction. The paper does not establish that higher mean diffusivity is a frequent finding across AD studies. (LLM, conf=0.82)
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- Authors
- Kavcic, V., Ni, H., Zhu, T., Zhong, J., & Duffy, C. J.
- Affiliations
- University of Rochester Medicine (US)
- Tianjin First Center Hospital (CN)
- Corresponding author
- Kavcic, Voyko
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2008-11
- Volume
- 4
- Issue
- 6
- Pages
- 381-389
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC2653423
- OpenAlex
- W2161291535
- Cited by
- 65
- References
- 58
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 1 · 2022: 1 · 2021: 4 · 2020: 5 · 2019: 5 · 2018: 2 · 2017: 1 · 2016: 4 · 2015: 5 · 2014: 2 · 2013: 6 · 2012: 6
- FWCI
- 4.22
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Alzheimer's Association (NIRG‐04‐1074)
- National Institute on Aging (AG17596)
- National Eye Institute (EY10287)
- 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
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, early Alzheimer's disease
- MeSH terms
- Aged, Aged, 80 and over, Aging, Alzheimer Disease, Brain, Cognition Disorders, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Logistic Models, Case-Control Studies
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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