Evidence map›Paper›PMID 39082002›Full record

ArticleFrontiers in dementia2023

Connectome-based predictive modeling shows sex differences in brain-based predictors of memory performance.

Suyeon Ju, Corey Horien, Xilin Shen, Hamid Abuwarda, Anne Trainer, R Todd Constable, Carolyn A Fredericks

Abstract read
In one paragraph

Article in Frontiers in dementia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  7. Sex-specific topological structure associated with dementia via latent space estimation.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
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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

7 authors.

Suyeon JuDepartment of Neurology, Yale School of Medicine, New Haven, CT, United States.
Corey HorienInterdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, United States.
Xilin ShenDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, United States.
Hamid AbuwardaDepartment of Neurology, Yale School of Medicine, New Haven, CT, United States.
Anne TrainerDepartment of Neurology, Yale School of Medicine, New Haven, CT, United States.
R Todd ConstableDepartment of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, United States.
Carolyn A FredericksDepartment of Neurology, Yale School of Medicine, New Haven, CT, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD) takes a more aggressive course in women than men, with higher prevalence and faster progression. Amnestic AD specifically targets the default mode network (DMN), which subserves short-term memory; past research shows relative hyperconnectivity in the posterior DMN in aging women. Higher reliance on this network during memory tasks may contribute to women's elevated AD risk. Here, we applied connectome-based predictive modeling (CPM), a robust linear machine-learning approach, to the Lifespan Human Connectome Project-Aging (HCP-A) dataset (

Indexed as

connectome-based predictive modelingdefault mode networkfunctional MRIhealthy agingsex differences

Identifiers

PMID39082002
PMCPMC11285565

What OpenQuestion holds

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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.