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Amyloid and tau signatures of brain metabolic decline in preclinical Alzheimer’s disease

Overview of attention for article published in European Journal of Nuclear Medicine and Molecular Imaging, February 2018
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Title
Amyloid and tau signatures of brain metabolic decline in preclinical Alzheimer’s disease
Published in
European Journal of Nuclear Medicine and Molecular Imaging, February 2018
DOI 10.1007/s00259-018-3933-3
Pubmed ID
Authors

Tharick A. Pascoal, Sulantha Mathotaarachchi, Monica Shin, Ah Yeon Park, Sara Mohades, Andrea L. Benedet, Min Su Kang, Gassan Massarweh, Jean-Paul Soucy, Serge Gauthier, Pedro Rosa-Neto, for the Alzheimer’s Disease Neuroimaging Initiative

Abstract

We aimed to determine the amyloid (Aβ) and tau biomarker levels associated with imminent Alzheimer's disease (AD) - related metabolic decline in cognitively normal individuals. A threshold analysis was performed in 120 cognitively normal elderly individuals by modelling 2-year declines in brain glucose metabolism measured with [18F]fluorodeoxyglucose ([18F]FDG) as a function of [18F]florbetapir Aβ positron emission tomography (PET) and cerebrospinal fluid phosphorylated tau biomarker thresholds. Additionally, using a novel voxel-wise analytical framework, we determined the sample sizes needed to test an estimated 25% drugeffect with 80% of power on changes in FDG uptake over 2 years at every brain voxel. The combination of [18F]florbetapir standardized uptake value ratios and phosphorylated-tau levels more than one standard deviation higher than their respective thresholds for biomarker abnormality was the best predictor of metabolic decline in individuals with preclinical AD. We also found that a clinical trial using these thresholds would require as few as 100 individuals to test a 25% drug effect on AD-related metabolic decline over 2 years. These results highlight the new concept that combined Aβ and tau thresholds can predict imminent neurodegeneration as an alternative framework with a high statistical power for testing the effect of disease-modifying therapies on [18F]FDG uptake decline over a typical 2-year clinical trial period in individuals with preclinical AD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 25%
Student > Ph. D. Student 8 13%
Student > Master 8 13%
Student > Bachelor 6 10%
Other 3 5%
Other 9 15%
Unknown 11 18%
Readers by discipline Count As %
Medicine and Dentistry 15 25%
Neuroscience 11 18%
Psychology 4 7%
Agricultural and Biological Sciences 3 5%
Nursing and Health Professions 2 3%
Other 8 13%
Unknown 17 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 February 2018.
All research outputs
#6,783,659
of 25,155,561 outputs
Outputs from European Journal of Nuclear Medicine and Molecular Imaging
#895
of 3,482 outputs
Outputs of similar age
#127,805
of 451,174 outputs
Outputs of similar age from European Journal of Nuclear Medicine and Molecular Imaging
#8
of 45 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,482 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 451,174 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.