Evidence map›Paper›PMID 40959581›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Longitudinal changes in the brain-age gap in mild cognitive impairment and their relationships with neuropsychological functions and Alzheimer's disease biomarkers.

Rachel R Jin, Yue Gu, Tatia M C Lee, Alzheimer's Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Rachel R JinLaboratory of Neuropsychology & Human Neuroscience The University of Hong Kong Hong Kong Hong Kong.
Yue GuLaboratory of Neuropsychology & Human Neuroscience The University of Hong Kong Hong Kong Hong Kong.
Tatia M C LeeLaboratory of Neuropsychology & Human Neuroscience The University of Hong Kong Hong Kong Hong Kong.
Alzheimer's Disease Neuroimaging Initiative

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MONICA G. RIVERA-MINDT · 2016 to 2026
$226.7M
NIA NIH HHS U19 AG024904
6 · The paper itself

Abstract

introductionThe discrepancy between biological and modeled brain ages-the brain-age gap (BAG)-could indicate potential neuropsychological changes. This study verified if and how longitudinal BAG changes were associated with neuropsychological functions and Alzheimer's disease-related biomarkers in individuals with mild cognitive impairment (MCI).

methodsOne hundred thirty-eight individuals with MCI and 103 healthy controls (HCs) with three rounds of magnetic resonance imaging scanning were selected from the Alzheimer's Disease Neuroimaging Initiative. We applied support vector regression on functional connectivity for modeling the brain age and further calculated the BAG.

resultsLongitudinal BAG changes were higher in participants with MCI compared to HCs. Larger BAG fluctuations were correlated with poorer cognitive performance and more severe depressive symptoms in patients with MCI. Neurofilament light chain and phosphorylated tau levels were associated with the longitudinal BAG changes. DISCUSSION: Present findings demonstrated the necessity of incorporating longitudinal BAG in monitoring the neuropsychological status among cognitively vulnerable populations. Highlights: Brain-age gap (BAG) changes are sensitive indicators of cognitive vulnerability in aging.BAG changes were larger in patients with mild cognitive impairment than in the controls.Longitudinal BAG changes were associated with worse cognitive-affective states.The plasma neurofilament light chain and cerebrospinal fluid phosphorylated tau levels were associated with the BAG changes.

Indexed as

agingbrain‐age gapdepressionlongitudinal changesmild cognitive impairment

Identifiers

PMID40959581
PMCPMC12434607

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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.