Association of cerebrovascular reactivity and Alzheimer pathologic markers with cognitive performance


Journal article


Sandeepa Sur, Zixuan Lin, Yang Li, S. Yasar, P. Rosenberg, A. Moghekar, Xirui Hou, R. Kalyani, Kaisha Hazel, George Pottanat, Cuimei Xu, Peter van Zijl, J. Pillai, Peiying Liu, M. Albert, Hanzhang Lu
Neurology, 2020

Semantic Scholar DOI PubMed
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APA   Click to copy
Sur, S., Lin, Z., Li, Y., Yasar, S., Rosenberg, P., Moghekar, A., … Lu, H. (2020). Association of cerebrovascular reactivity and Alzheimer pathologic markers with cognitive performance. Neurology.


Chicago/Turabian   Click to copy
Sur, Sandeepa, Zixuan Lin, Yang Li, S. Yasar, P. Rosenberg, A. Moghekar, Xirui Hou, et al. “Association of Cerebrovascular Reactivity and Alzheimer Pathologic Markers with Cognitive Performance.” Neurology (2020).


MLA   Click to copy
Sur, Sandeepa, et al. “Association of Cerebrovascular Reactivity and Alzheimer Pathologic Markers with Cognitive Performance.” Neurology, 2020.


BibTeX   Click to copy

@article{sandeepa2020a,
  title = {Association of cerebrovascular reactivity and Alzheimer pathologic markers with cognitive performance},
  year = {2020},
  journal = {Neurology},
  author = {Sur, Sandeepa and Lin, Zixuan and Li, Yang and Yasar, S. and Rosenberg, P. and Moghekar, A. and Hou, Xirui and Kalyani, R. and Hazel, Kaisha and Pottanat, George and Xu, Cuimei and van Zijl, Peter and Pillai, J. and Liu, Peiying and Albert, M. and Lu, Hanzhang}
}

Abstract

Objective To determine whether MRI-based cerebrovascular reactivity (CVR) can predict cognitive performance independently of Alzheimer pathologic markers, we studied the relationship between cognition, CVR, and CSF-derived β-amyloid42 (Aβ42) and tau in a group of elderly individuals with mixed Alzheimer and vascular cognitive impairment and dementia. Methods This was a cross-sectional study of 72 participants 69 ± 8 years of age consisting of individuals with normal cognition (n = 28) and cognitive impairment (n = 44) (including 36 with mild cognitive impairment [MCI] and 8 with mild dementia). CVR was measured with hypercapnia-MRI. Whole-brain CVR (percent blood oxygen level–dependent per 1 mm Hg Etco2) was used to estimate vasodilatory capacity. Montreal Cognitive Assessment (MoCA) scores, cognitive domains scores, and a global composite cognitive score were obtained. AD biomarkers included CSF assays of Aβ42 and tau. Results Whole-brain CVR was lower in the impaired (mean ± SE, 0.132 ± 0.006%/mm Hg) compared to the normal (0.151 ± 0.007%/mm Hg) group (β = −0.02%/mm Hg; 95% confidence interval [CI] −0.038 to −0.001). After adjustment for CSF Aβ42 and tau, higher whole-brain CVR was associated with better performance on the MoCA (β = 29.64, 95% CI 9.94–49.34) and with a global composite cognitive score (β = 4.32, 95% CI 0.05–8.58). When the CVR marker was compared with the Fazekas score based on white matter hyperintensities and vascular risk-score in a single regression model predicting the MoCA score, only CVR revealed a significant effect (β = 28.09, 95% CI 6.14–50.04), while the other 2 measures were not significant. Conclusions CVR was significantly associated with cognitive performance independently of AD pathology. Whole-brain CVR may be a useful biomarker for evaluating cognitive impairment related to vascular disease in older individuals. Classification of evidence This study provides Class II evidence that CVR was significantly associated with cognitive performance independent of AD pathology.



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