Evidence map›Paper›PMID 40791248›Full record

ArticleFrontiers in aging neuroscience2025

Advancing the modified face name associative memory exam in cognitive aging research: insights into connectomic correlates and task reliability.

Yilin Liu, Mark H Sundman, Dalen Hinderaker, Allison Yu-Chin Chen, Jacob M Green, Lisbeth G Haaheim, Hannah M Siu, Catherine Jezerc, Kaitlyn Lai, Carol Chen and 2 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Yilin Liu *Brain Imaging and TMS Laboratory, University of Arizona, Tucson, AZ, United States.
Mark H Sundman *Brain Imaging and TMS Laboratory, University of Arizona, Tucson, AZ, United States.
Dalen HinderakerBrain Imaging and TMS Laboratory, University of Arizona, Tucson, AZ, United States.
Allison Yu-Chin ChenBrain Imaging and TMS Laboratory, University of Arizona, Tucson, AZ, United States.
Jacob M GreenBrain Imaging and TMS Laboratory, University of Arizona, Tucson, AZ, United States.
Lisbeth G HaaheimBrain Imaging and TMS Laboratory, University of Arizona, Tucson, AZ, United States.
Hannah M SiuBrain Imaging and TMS Laboratory, University of Arizona, Tucson, AZ, United States.
Catherine JezercBrain Imaging and TMS Laboratory, University of Arizona, Tucson, AZ, United States.
Kaitlyn LaiBrain Imaging and TMS Laboratory, University of Arizona, Tucson, AZ, United States.
Carol ChenBrain Imaging and TMS Laboratory, University of Arizona, Tucson, AZ, United States.
Parker GussBrain Imaging and TMS Laboratory, University of Arizona, Tucson, AZ, United States.
Ying-Hui ChouBrain Imaging and TMS Laboratory, University of Arizona, Tucson, AZ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The shift toward earlier detection in the Alzheimer's disease (AD) continuum underscores the need for more sensitive cognitive outcome assessments (COAs). Traditional COAs may lack precision in capturing cognitive dysfunction during preclinical stages. The Face-Name Associative Memory Exam (FNAME), a cross-modal task that integrates verbal and non-verbal memory, offers enhanced sensitivity and has shown associations with amyloid-β burden across the AD continuum, even in asymptomatic older adults. Methods: This manuscript reports on two experiments, broadening insights into this promising COA. Experiment 1 (descriptive observational, repeated-measures design) ( Results: Experiment 1 demonstrated good alternate form reliability with no significant practice effect. Experiment 2 revealed significant associations between mFNAME performance and network properties like global efficiency, local efficiency, and system segregation in the default mode network (DMN) and medial temporal network (MTN). Subsequent analyses into more granular elements of the MTN and DMN revealed latent variables accounting for up to 44% of the covariance in mFNAME performance. Discussions: These findings deepen the understanding of the FNAME's psychometric properties and the neural correlates underlying task performance, providing insights into its utility as a sensitive COA early in the continuum of AD and related dementias.

Indexed as

associative memorybrain connectivitydefault mode networkmedial temporal lobemild cognitive impairment

Identifiers

PMID40791248
PMCPMC12336139

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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.