Evidence map›Paper›PMID 39177595›Full record

ArticleJournal of Alzheimer's disease : JAD2024

Convergence of Accelerated Brain Volume Decline in Normal Aging and Alzheimer's Disease Pathology.

Bárbara Avelar-Pereira, Curran Michael Phillips, S M Hadi Hosseini, Alzheimer’s Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Bárbara Avelar-PereiraDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.
Curran Michael PhillipsDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.
S M Hadi HosseiniDepartment of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, USA.
Alzheimer’s Disease Neuroimaging Initiative

Funding

Microstructural changes in gray and white matter in aging and ADR01AG073362 · NIA · STANFORD UNIVERSITY · PI Hadi Hosseini · 2022 to 2026
$3.7M
Interactive Effects of Aging and AD on Brain NetworksR01AG072470 · NIA · STANFORD UNIVERSITY · PI Hadi Hosseini · 2022 to 2026
$2.9M
A Novel Neuromonitoring Guided Cognitive Intervention for Targeted Enhancement of Working MemoryR61MH119289 · NIMH · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2019 to 2021
$787k
The influence of multi-domain cognitive training on large-scale structural and functional brain networks in MCIK25AG050759 · NIA · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2016 to 2020
$739k
A Wearable Optical Imaging System for Daily Monitoring of Prefrontal Activity in ADHDR21MH123873 · NIMH · STANFORD UNIVERSITY · PI BOWDEN, AUDREY KYNSELLA, HOSSEINI, HADI · 2020 to 2020
$443k
Development of a cost-effective and neurobiologically valid VR assessment tool for early detection of ADR21AG073973 · NIA · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2021 to 2022
$433k
Multi-dimensional network framework for AD detection and progressionR21AG064263 · NIA · STANFORD UNIVERSITY · PI HOSSEINI, HADI · 2019 to 2020
$430k
NIA NIH HHS K25 AG050759NIA NIH HHS R01 AG072470NIA NIH HHS R01 AG073362NIA NIH HHS R21 AG064263NIA NIH HHS R21 AG073973NIMH NIH HHS R21 MH123873NIMH NIH HHS R61 MH119289
6 · The paper itself

Abstract

Background: Age represents the largest risk factor for Alzheimer's disease (AD) but is typically treated as a covariate. Still, there are similarities between brain regions affected in AD and those showing accelerated decline in normal aging, suggesting that the distinction between the two might fall on a spectrum. Objective: Our goal was to identify regions showing accelerated atrophy across the brain and investigate whether these overlapped with regions involved in AD or where related to amyloid. Methods: We used a longitudinal sample of 137 healthy older adults from the Alzheimer's Disease Neuroimaging Initiative (ADNI), who underwent magnetic resonance imaging (MRI). In addition, a total of 79 participants also had longitudinal positron emission tomography (PET) data. We computed linear-mixed effects models for brain regions declining faster than the average to investigate variability in the rate of change. Results: 23 regions displayed a 0.5 standard deviation (SD) above average decline over 2 years. Of these, 52% overlapped with regions showing similar decline in a matched AD sample. Beyond this, the left precuneus, right superior frontal, transverse temporal, and superior temporal sulcus showed accelerated decline. Lastly, atrophy in the precuneus was associated with increased amyloid load. Conclusions: Accelerated decline in normal aging might contribute to the detection of early signs of AD among healthy individuals.

Indexed as

AgingAlzheimer DiseaseAtrophyBrainMagnetic Resonance ImagingPositron-Emission TomographyAgedAged, 80 and overFemaleHumansLongitudinal StudiesMaleOrgan SizeAccelerated atrophyAlzheimer’s diseaseamyloid acculumationgray matternormal aging

Identifiers

PMID39177595
PMCPMC11745547

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.