Open science datasets from PREVENT-AD, a longitudinal cohort of pre-symptomatic Alzheimer’s disease

Tremblay‐Mercier, Jennifer; Madjar, Cécile; Das, Samir; Binette, Alexa Pichet; Dyke, Stephanie O.M.; Étienne, Pierre; Lafaille‐Magnan, Marie‐Élyse; Remz, Jordana; Bellec, Pierre; Collins, D. Louis; Rajah, M. Natasha; Bohbot, Véronique D.; Leoutsakos, Jeannie‐Marie; Iturria-Medina, Yasser; Kat, Justin; Hoge, Richard D.; Gauthier, Serge; Tardif, Christine; Chakravarty, M. Mallar; Poline, Jean‐Baptiste; Rosa‐Neto, Pedro; Evans, Alan C.; Villeneuve, Sylvia; Poirier, Judes; Breitner, John C.S.

doi:10.1016/j.nicl.2021.102733

Cited by 81 publications

(96 citation statements)

References 35 publications

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“…At study enrollment, all participants underwent brief cognitive screening using the Clinical Dementia Rating (CDR) 29 and Montreal Cognitive Assessment (MoCA) 30 to confirm normal cognition. 31 In a few cases of ambiguous CDR (0.5) or MoCA (≤26), individuals underwent a complete neuropsychological evaluation by a certified neuropsychologist; 3 such participants were included in our analyses. These participants were screened in 2015 and, as of their 2021 visits, were still cognitively normal.…”

Section: Participantsmentioning

confidence: 99%

Plasma p‐tau231, p‐tau181, PET Biomarkers, and Cognitive Change in Older Adults

Meyer

Ashton

Karikari

et al. 2022

Annals of Neurology

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The objective of this study was to evaluate novel plasma p-tau231 and p-tau181, as well as Aβ 40 and Aβ 42 assays as indicators of tau and Aβ pathologies measured with positron emission tomography (PET), and their association with cognitive change, in cognitively unimpaired older adults. Methods: In a cohort of 244 older adults at risk of Alzheimer's disease (AD) owing to a family history of AD dementia, we measured single molecule array (Simoa)-based plasma tau biomarkers (p-tau231 and p-tau181), Aβ 40 and Aβ 42 with immunoprecipitation mass spectrometry, and Simoa neurofilament light (NfL). A subset of 129 participants underwent amyloid-β ( 18 F-NAV4694) and tau ( 18 F-flortaucipir) PET assessments. We investigated plasma biomarker associations with Aβ and tau PET at the global and voxel level and tested plasma biomarker combinations for improved detection

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Section: Participantsmentioning

confidence: 99%

Plasma p‐tau231, p‐tau181, PET Biomarkers, and Cognitive Change in Older Adults

Meyer

Ashton

Karikari

et al. 2022

Annals of Neurology

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“…In the present study, the longitudinal rsfMRI data from the PREVENT-AD (PResymptomatic EValuation of Experimental or Novel Treatments for Alzheimer's disease) cohort (Tremblay-Mercier et al, 2021 ) were employed to build aging curves (i.e., aging-related changes) of global CSA at different spatial scales and across frequency bands. Specifically, three metrics are calculated for quantifying the CSA's amplitude of low frequency fluctuations (ALFF) (Zuo et al, 2010a ), regional homogeneity (ReHo) (Zuo et al, 2013 ) and voxel-mirrored homotopic connectivity (VMHC) (Zuo et al, 2010b ) across different slow bands (Xing et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Globally Aging Cortical Spontaneous Activity Revealed by Multiple Metrics and Frequency Bands Using Resting-State Functional MRI

Xing

2021

Front. Aging Neurosci.

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Most existing aging studies using functional MRI (fMRI) are based on cross-sectional data but misinterpreted their findings (i.e., age-related differences) as longitudinal outcomes (i.e., aging-related changes). To delineate aging-related changes the of human cerebral cortex, we employed the resting-state fMRI (rsfMRI) data from 24 healthy elders in the PREVENT-AD cohort, obtaining five longitudinal scans per subject. Cortical spontaneous activity is measured globally with three rsfMRI metrics including its amplitude, homogeneity, and homotopy at three different frequency bands (slow-5: 0.02–0.03 Hz, slow-4: 0.03–0.08 Hz, and slow-3 band: 0.08–0.22 Hz). General additive mixed models revealed a universal pattern of the aging-related changes for the global cortical spontaneous activity, indicating increases of these rsfMRI metrics during aging. This aging pattern follows specific frequency and spatial profiles where higher slow bands show more non-linear curves and the amplitude exhibits more extensive and significant aging-related changes than the connectivity. These findings provide strong evidence that cortical spontaneous activity is aging globally, inspiring its clinical utility as neuroimaging markers for neruodegeneration disorders.

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“…On the other hand, the entire HCP connectome is moderately sparse (density close to 0.05) and would need to be shrunk by up to 0.25 when only 100 time points are available. This duration corresponds to 72.75 seconds of scanning time using the high-resolution HCP acquisition protocol but would correspond to more than 3 minutes for a standard fMRI acquisition protocol with a TR of 2 seconds ( Tremblay-Mercier et al, 2021 ). The Default Mode Network and the low-resolution HCP connectomes present intermediary densities.…”

Section: Resultsmentioning

confidence: 99%