Evidence map›Paper›PMID 41425076›Full record

ArticleFrontiers in neuroscience2025

Connectome-based predictive modeling of grip strength: a marker of physical frailty.

Amin Ghaffari, Majd Abouzaki, Yasmine Romero, Andrew Sun, Aaron Seitz, Jason Langley, Ilana J Bennett, Xiaoping Hu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2025. 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. 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

8 authors.

Amin GhaffariDepartment of Bioengineering, University of California, Riverside, Riverside, CA, United States.
Majd AbouzakiDepartment of Cell, Molecular, and Developmental Biology, University of California, Riverside, Riverside, CA, United States.
Yasmine RomeroDepartment of Biochemistry, University of California, Riverside, Riverside, CA, United States.
Andrew SunDepartment of Psychology, Northeastern University, Boston, MA, United States.
Aaron SeitzDepartment of Psychology, Northeastern University, Boston, MA, United States.
Jason LangleyCenter for Advanced Neuroimaging, University of California, Riverside, Riverside, CA, United States.
Ilana J BennettDepartment of Psychology, University of California, Riverside, Riverside, CA, United States.
Xiaoping HuDepartment of Bioengineering, University of California, Riverside, Riverside, CA, United States.

Funding

How LC Integrity in Older Adults Mediates Perceptual and Memory ProcessesR01AG072607 · NIA · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI HU, XIAOPING P, SEITZ, AARON R · 2024 to 2025
$1.3M
NIA NIH HHS R01 AG072607
6 · The paper itself

Abstract

Introduction: Frailty is characterized by a persistent and progressive decline in functional capacity, leading to increased vulnerability to stressors and a heightened risk of adverse health outcomes, both physically and mentally. Despite frailty's prevalence in older adults, there is limited research on its neural substrates. Methods: In this study, we used connectome-based predictive modeling (CPM) to find a linear relationship between task-based connectomes taken from tasks that involved similar handgrip manipulations and a separate measure of physical frailty: the maximum grip strength in older adults. Results: We observed that the task-based connectomes were able to explain individual differences in grip strength, with the Subcortical and Cerebellum network, particularly the caudate nucleus functional connectivity, being the strongest predictor. Discussion: These findings demonstrate that task-based functional connectomes can serve as personalized markers for predicting individual behavioral measures, such as handgrip strength, and highlight the role of the caudate nucleus in physical frailty.

Indexed as

caudate nucleusconnectomeconnectome-based predictive modelingfrailtyneuroimaging biomarkersolder adults

Identifiers

PMID41425076
PMCPMC12711722

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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.