Nov 14, 2019

Cerebrospinal fluid dynamics disorders: Relationship to Alzheimer biomarkers and cognition

Neurology
Jonathan Graff-RadfordC R Jack

Abstract

To determine the frequency of high-convexity tight sulci (HCTS) in a population-based sample and whether the presence of HCTS and related features influenced participants' cognitive status and classification within the new Alzheimer-biomarker framework. We analyzed 684 participants ≥50 years of age who were enrolled in the prospective population-based Mayo Clinic Study of Aging and underwent structural MRI, amyloid PET imaging, and tau PET imaging. A fully automated machine-learning algorithm that had been developed previously in house was used to detect neuroimaging features of HCTS. On the basis of PET and MRI measures, participants were classified as having normal (A-) or abnormal (A+) amyloid, normal (T-) or abnormal (T+) tau, and normal (N-) or abnormal (N+) neurodegeneration. The neuropsychological battery assessed domain-specific and global cognitive scores. Gait speed also was assessed. Analyses were adjusted for age and sex. Of 684 participants, 45 (6.6%) were classified with HCTS according to the automated algorithm. Patients with HCTS were older than patients without HCTS (mean [SD] 78.0 [8.3] vs 71.9 [10.8] years; p < 0.001). More were cognitively impaired after age and sex adjustment (27% vs 9%; p = 0.005). Amyloid...Continue Reading

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Mentioned in this Paper

Biological Markers
Patterns
Classification
Magnetic Resonance Imaging
Nerve Degeneration
Cerebrospinal Fluid
Alzheimer's Disease
Participant
Amyloid
Nitrogen

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