Evidence map›Paper›PMID 40523805›Full record

ArticleJournal of cognitive neuroscience2025

Semantic Dimensions Support the Cortical Representation of Object Memorability.

Matthew Slayton, Cortney M Howard, Shenyang Huang, Mariam Hovhannisyan, Roberto Cabeza, Simon W Davis

Abstract read
In one paragraph

Article in Journal of cognitive neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Matthew SlaytonDuke University.ORCID 0000-0003-3561-7660
Cortney M HowardDuke University.
Shenyang HuangDuke University.
Mariam HovhannisyanUniversity of Arizona.
Roberto CabezaDuke University.
Simon W DavisDuke University.

Funding

Adaptive Neuromodulation of Working Memory Networks in Aging and DementiaR01AG075417 · NIA · TRUSTEES OF INDIANA UNIVERSITY · PI Simon W Davis · 2022 to 2026
$2.8M
Effects of Healthy Aging and Mild Cognitive Impairment on Memory RepresentationsR01AG066901 · NIA · DUKE UNIVERSITY · PI Roberto Cabeza · 2025 to 2026
$1.5M
Bilateral Brain Dynamics Supporting Cognition in Normal Aging and DementiaK01AG053539 · NIA · DUKE UNIVERSITY · PI DAVIS, SIMON W · 2017 to 2021
$518k
NIA NIH HHS K01 AG053539NIA NIH HHS K01-AG053539NIA NIH HHS R01 AG066901NIA NIH HHS R01-AG066901NIA NIH HHS R01 AG075417
6 · The paper itself

Abstract

Recent work in vision sciences contends that objects carry an intrinsic property called memorability that describes the likelihood that an object can be successfully encoded and later retrieved from memory. It has been shown that object memorability is supported by semantic information, but the neural correlates of this relationship are largely unexplored. The present study explores these premises and asks whether neural correlates of object memorability can be accounted for by semantic dimensions. We combine three data sets: (1) feature norms for a database of ∼1000 natural object images, (2) normative conceptual and perceptual memory data for those objects, and (3) neuroimaging data from an fMRI study collected using a subset (n = 360) of those objects. We found that object-wise memorability elicits consistent brain activation across participants in key mnemonic regions, including the hippocampus and rhinal cortex, and that the variance in this neural activity is mediated by the semantic factors describing these images. We propose that the features of memorable images may be facilitating memory formation by more deeply engaging encoding processes.

Indexed as

Cerebral CortexHippocampusMemoryPattern Recognition, VisualSemanticsAdultBrain MappingFemaleHumansMagnetic Resonance ImagingMaleYoung Adult

Identifiers

PMID40523805
PMCPMC12371987

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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.