Evidence map›Paper›PMID 38934017›Full record

ArticleFrontiers in aging neuroscience2024

Amyloid and tau burden relate to longitudinal changes in the performance of complex everyday activities among cognitively unimpaired older adults: results from the performance-based Harvard Automated Phone Task.

Mark A Dubbelman, Ibai Diez, Christopher Gonzalez, Rebecca E Amariglio, J Alex Becker, Jasmeer P Chhatwal, Jennifer R Gatchel, Keith A Johnson, Joseph J Locascio, Onyinye J Udeogu and 8 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Trial
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Mark A DubbelmanDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Ibai DiezDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Christopher GonzalezDepartment of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, United States.
Rebecca E AmariglioDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
J Alex BeckerDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Jasmeer P ChhatwalDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Jennifer R GatchelDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Keith A JohnsonDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Joseph J LocascioDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Onyinye J UdeoguDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Sharon WangDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Kathryn V PappDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Michael J ProperziDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Dorene M RentzDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Aaron P SchultzDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Reisa A SperlingDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Patrizia VanniniDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Gad A MarshallDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.

Funding

Vascular factors, physical activity, and inflammation as modulators of neurodegenerative and cognitive trajectories (Project 2)P01AG036694 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI REISA A. SPERLING · 2010 to 2026
$50.2M
Novel automated performance-based ADL outcomes for early AD clinical trialsR01AG053184 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI MARSHALL, GAD ASHER · 2018 to 2023
$4.5M
Neural Correlates of Apathy Across the Alzheimer's Disease ContinuumR01AG067021 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI MARSHALL, GAD ASHER · 2020 to 2025
$3.6M
NIA NIH HHS P01 AG036694NIA NIH HHS R01 AG053184NIA NIH HHS R01 AG067021
6 · The paper itself

Abstract

Background: Changes in everyday functioning constitute a clinically meaningful outcome, even in the early stages of Alzheimer's disease. Performance-based assessments of everyday functioning might help uncover these early changes. We aimed to investigate how changes over time in everyday functioning relate to tau and amyloid in cognitively unimpaired older adults. Methods: Seventy-six cognitively unimpaired participants (72 ± 6 years old, 61% female) completed multiple Harvard Automated Phone Task (APT) assessments over 2.0 ± 0.9 years. The Harvard APT consists of three tasks, performed through an automated phone system, in which participants refill a prescription (APT-Script), select a new primary care physician (APT-PCP), and transfer money to pay a bill (APT-Bank). Participants underwent Pittsburgh compound-B and flortaucipir positron emission tomography scans at baseline. We computed distribution volume ratios for a cortical amyloid aggregate and standardized uptake volume ratios for medial temporal and neocortical tau regions. In separate linear mixed models, baseline amyloid by time and tau by time interactions were used to predict longitudinal changes in performance on the Harvard APT tasks. Three-way amyloid by tau by time interactions were also investigated. Lastly, we examined associations between tau and change in Harvard APT scores in exploratory voxel-wise whole-brain analyses. All models were adjusted for age, sex, and education. Results: Amyloid [unstandardized partial regression coefficient estimate (β) = -0.007, 95% confidence interval (95% CI) = (-0.013, -0.001)], and medial temporal tau [β = -0.013, 95% CI = (-0.022, -0.004)] were associated with change over time in years on APT-PCP only, i.e., higher baseline amyloid and higher baseline tau were associated with steeper rate of decline of APT-PCP. Voxel-wise analyses showed widespread associations between tau and change in APT-PCP scores over time. Conclusion: Even among cognitively unimpaired older adults, changes over time in the performance of cognitively complex everyday activities relate to cortical amyloid and widespread cerebral tau burden at baseline. These findings support the link between Alzheimer's disease pathology and function and highlight the importance of measuring everyday functioning in preclinical disease stages.

Indexed as

Alzheimer's diseaseamyloidfunctioninstrumental activities of daily livinglongitudinaltau

Identifiers

PMID38934017
PMCPMC11199537

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