51. Cerebrospinal fluid dynamics disorders
- Author
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Benjamin D. Elder, Michelle M. Mielke, David S. Knopman, Jeffrey L. Gunter, John Huston, Christopher G. Schwarz, Val J. Lowe, Ronald C. Petersen, Clifford R. Jack, David T.W. Jones, Mary M. Machulda, Scott A. Przybelski, Jonathan Graff-Radford, Neill R. Graff-Radford, Prashanthi Vemuri, Nathaniel B. Gunter, and Kejal Kantarci
- Subjects
0301 basic medicine ,Oncology ,medicine.medical_specialty ,education.field_of_study ,Cerebrospinal fluid dynamics ,business.industry ,Population ,Cognition ,Age and sex ,Article ,Clinical trial ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Neuroimaging ,Internal medicine ,medicine ,Biomarker (medicine) ,Neurology (clinical) ,business ,Cognitive impairment ,education ,030217 neurology & neurosurgery - Abstract
ObjectiveTo 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.MethodsWe 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.ResultsOf 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 PET status was similar with and without HCTS, but tau PET standard uptake value ratio (SUVR) was lower for those with HCTS after age and sex adjustment (p < 0.001). Despite a lower tau SUVR, patients with HCTS had lower Alzheimer disease (AD) signature cortical thickness. With the amyloid-tau-neurodegeneration framework, HCTS was overrepresented in the T−(N)+ group, regardless of amyloid status.ConclusionThe HCTS pattern represents a definable subgroup of non-AD pathophysiology (i.e., T−[N]+) that is associated with cognitive impairment. HCTS may confound clinical and biomarker interpretation in AD clinical trials.
- Published
- 2019
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