Cerebrospinal fluid dynamics disorders
Relationship to Alzheimer biomarkers and cognition
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Abstract
Objective 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.
Methods 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.
Results 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 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.
Conclusion The 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.
Glossary
- Aβ42=
- β-amyloid42;
- AD=
- Alzheimer disease;
- AT(N)=
- amyloid-tau-neurodegeneration;
- CDD=
- CSF dynamics disorder;
- DESH=
- disproportionately enlarged subarachnoid space hydrocephalus;
- FLAIR=
- and fluid-attenuated inversion recovery;
- HCTS=
- high-convexity tight sulci;
- MCALT=
- Mayo Clinic Adult Lifespan Template;
- MCSA=
- Mayo Clinic Study of Aging;
- MPRAGE=
- magnetization-prepared rapid gradient-echo;
- NPH=
- normal-pressure hydrocephalus;
- PiB=
- Pittsburgh compound B;
- SUVR=
- standard uptake value ratio
Footnotes
Go to Neurology.org/N for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.
CME Course: NPub.org/cmelist
- Received February 12, 2019.
- Accepted in final form June 19, 2019.
- © 2019 American Academy of Neurology
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Letters: Rapid online correspondence
- Author response: Cerebrospinal fluid dynamics disorders: Relationship to Alzheimer biomarkers and cognition
- Jonathan Graff-Radford, Neurologist, Mayo Clinic
- David Knopman, Neurologist, Mayo Clinic
- David Jones, Neurologist, Mayo Clinic
Submitted January 02, 2020 - Reader response: Cerebrospinal fluid dynamics disorders: Relationship to Alzheimer biomarkers and cognition
- Gilles Allali, Neurologist, Geneva University Hospitals
- Tiberiu Laticevschi, Medical student, University of Geneva
Submitted December 24, 2019
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