Evidence map›Paper›PMID 42488345›Full record

ArticleFrontiers in aging neuroscience2026

Hippocampal formation-cortical high-fidelity memory networks in healthy older adults during the mnemonic discrimination task.

Joseph C C Chen, Adam Gazzaley, Peter E Wais

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

3 authors.

Joseph C C ChenDepartment of Neurology, Neuroscape, University of California, San Francisco, CA, United States.
Adam GazzaleyDepartment of Neurology, Neuroscape, University of California, San Francisco, CA, United States.
Peter E WaisDepartment of Neurology, Neuroscape, University of California, San Francisco, CA, United States.

Funding

Accelerating Cognitive Gains from Digital Meditation with Noninvasive Brain Stimulation: A Pilot Study in MCIR61AG080528 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ZANTO, THEODORE P, ZIEGLER, DAVID A · 2023 to 2024
$1.0M
Neural Correlates of Discrimination and Generalization in Recognition MemoryR00AG043557 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WAIS, PETER EDWARD · 2016 to 2018
$739k
NIA NIH HHS R00 AG043557NIA NIH HHS R61 AG080528
6 · The paper itself

Abstract

Introduction: Fidelity of detailed information retrieved from long-term memory (LTM) declines in aging due to changes affecting learning and remembering processes. Such behavioral deficits correspond with functional alterations in the hippocampal formation. However, it is unclear whether age-related decline in high-fidelity retrieval alters functional connections between hippocampal and cortical regions. Methods: Twenty-two cognitively intact older adults (69.4 ± 4.4 years) completed mnemonic discrimination tasks during fMRI indicating, whether previously encoded targets, lures, or novel objects were old or new. Results: Participants' high-fidelity memory, measured by the lure discrimination index (the proportion of "new" responses to lures minus the proportion of "old" responses to novel objects), was 0.45 ± 0.04 - lower than previously reported scores in young adults. High-fidelity LTM in older adults engaged a hippocampal formation region in the left entorhinal cortex with trial-wise beta-series connections to the right angular gyrus and the left precuneus. Discussion: Taken together, we characterize the distribution of medial temporal lobe (MTL)-cortical networks in older adults that underlies high-fidelity memory.

Indexed as

fMRIfunctional connectivitymemorymnemonic discrimination taskolder adults

Identifiers

PMID42488345
PMCPMC13388291

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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.