Data from: An MRI measure of degenerative and cerebrovascular pathology in Alzheimer’s disease
Objective: To develop, replicate, and validate an MRI-based quantitative measure of both cerebrovascular and neurodegeneration in Alzheimer’s disease for clinical and potentially research purposes. Methods. We used data from a cross-sectional and longitudinal community-based study of Medicare-eligib...
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Zusammenfassung: | Objective: To develop, replicate, and validate an MRI-based quantitative
measure of both cerebrovascular and neurodegeneration in Alzheimer’s
disease for clinical and potentially research purposes. Methods. We used
data from a cross-sectional and longitudinal community-based study of
Medicare-eligible residents in northern Manhattan followed every 18-24
months (N=1,175, mean age=78 years). White matter hyperintensities,
infarcts, hippocampal volumes, and cortical thicknesses were quantified
from MRI and combined to generate an MRI measure associated with episodic
memory. The combined MRI measure was replicated and validated using
autopsy data, clinical diagnoses, and cerebrospinal fluid biomarkers and
amyloid PET from the Alzheimer’s Disease Neuroimaging Initiative. Results.
The quantitative MRI measure was developed in a group of community
participants (n=690) and replicated in a similar second group (n=485).
Compared with healthy controls, the quantitative MRI measure was lower in
patients with mild cognitive impairment and lower still in those with
clinically diagnosed Alzheimer’s disease. The quantitative MRI measure
correlated with neurofibrillary tangles, neuronal loss, atrophy, and
infarcts at postmortem in an autopsy subset and was also associated with
PET amyloid imaging and cerebrospinal fluid levels of total tau, p-tau,
and Aβ42. The MRI measure predicted conversion to MCI and clinical
Alzheimer’s disease among healthy controls. Conclusions. We developed,
replicated and validated an MRI measure of cerebrovascular and
neurodegenerative pathologies that are associated with clinical and
neuropathological diagnosis of Alzheimer’s disease and related to
established biomarkers. |
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DOI: | 10.5061/dryad.m8s3r88 |