Evidence map›Paper›PMID 41557728›Full record

ArticlePLoS biology2026

Characterization of the spatiotemporal representations of visual, semantic, and memorability features in the human brain.

Yue Wang, Peter Brunner, Jon T Willie, Runnan Cao, Shuo Wang

Abstract read
In one paragraph

Article in PLoS biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yue WangDepartment of Radiology, Washington University in St. Louis, St. Louis, Missouri, United States of America.ORCID https://orcid.org/0009-0009-0875-4329
Peter BrunnerDepartment of Neurosurgery, Washington University in St. Louis, St. Louis, Missouri, United States of America.
Jon T WillieDepartment of Neurosurgery, Washington University in St. Louis, St. Louis, Missouri, United States of America.
Runnan CaoDepartment of Radiology, Washington University in St. Louis, St. Louis, Missouri, United States of America.
Shuo WangDepartment of Radiology, Washington University in St. Louis, St. Louis, Missouri, United States of America.ORCID https://orcid.org/0000-0003-2562-0225

Funding

Training and DisseminationP41EB018783 · NIBIB · WADSWORTH CENTER · PI Yi Chen · 2014 to 2026
$15.4M
An Ecosystem of Technology and Protocols for Adaptive Neuromodulation Research in HumansU01NS128612 · NINDS · MAYO CLINIC ROCHESTER · PI Peter Brunner, Kai Miller · 2022 to 2026
$4.5M
BCI2000: Software Resource for Adaptive Neurotechnology ResearchU24NS109103 · NINDS · WASHINGTON UNIVERSITY · PI BRUNNER, PETER · 2019 to 2024
$2.8M
Model-Based Investigation of Aberrant Neural Face Representation in AutismR01MH129426 · NIMH · WASHINGTON UNIVERSITY · PI Shuo Wang · 2022 to 2026
$1.9M
Mechanisms of Amygdala-Mediated Memory Enhancement in HumansR01MH120194 · NIMH · WASHINGTON UNIVERSITY · PI WILLIE, JON TIMOTHY · 2020 to 2024
$1.8M
BCI2000+: A Software Platform for Adaptive NeurotechnologiesR01EB026439 · NIBIB · WASHINGTON UNIVERSITY · PI BRUNNER, PETER · 2018 to 2022
$1.5M
Dynamics and Causal Functions of Large-Scale Cortical and Subcortical NetworksU01NS108916 · NINDS · WADSWORTH CENTER · PI WOLPAW, JONATHAN RICKEL · 2018 to 2019
$1.4M
Non-invasive vagus nerve stimulation to mitigate subarachnoid hemorrhage induced inflammationR21NS128307 · NINDS · WASHINGTON UNIVERSITY · PI BRUNNER, PETER, LEUTHARDT, ERIC CLAUDE · 2023 to 2024
$428k
Delineating the neural computational network for object recognitionK99EY036650 · NEI · WASHINGTON UNIVERSITY · PI CAO, RUNNAN · 2024 to 2025
$228k
NEI NIH HHS K99 EY036650NIBIB NIH HHS P41 EB018783NIBIB NIH HHS R01 EB026439NIMH NIH HHS R01 MH120194NIMH NIH HHS R01 MH129426NINDS NIH HHS R21 NS128307NINDS NIH HHS U01 NS108916NINDS NIH HHS U01 NS128612NINDS NIH HHS U24 NS109103
6 · The paper itself

Abstract

Object recognition requires integrated processing that extends beyond the visual cortex, incorporating semantic and memory-related processes. However, it remains unclear how different attributes, such as visual, semantic, and memorability features, are encoded and interact during perception. Here, we recorded intracranial electroencephalography from 5,143 channels while participants viewed natural object images. We systematically characterized the spatiotemporal patterns of neural encoding for visual, semantic, and memorability attributes and showed that memorability was encoded in a distributed manner, which can be dissociated from visual and semantic coding. While the ventral temporal cortex (VTC) was engaged in encoding all three attributes, the representations were dissociable. Interestingly, memorability representations in the prefrontal cortex appeared to arise from integrated visual and semantic signals from the VTC; and memorability influenced early stages of visual and semantic processing. Our results were corroborated by high-resolution 7T fMRI, which revealed continuous encoding across the brain, and further validated using a separate dataset featuring within-category object variability. Lastly, single-neuron recordings confirmed semantic and memorability coding in the medial temporal lobe. Together, these findings provide a comprehensive view of how visual, semantic, and memorability attributes are dynamically encoded across the brain, highlighting the complex interplay between these attributes that collectively shape object recognition and memory formation.

Indexed as

BrainMemoryVisual PerceptionAdultBrain MappingElectroencephalographyFemaleHumansMagnetic Resonance ImagingMalePattern Recognition, VisualPhotic StimulationSemanticsTemporal LobeVisual CortexYoung Adult

Identifiers

PMID41557728
PMCPMC12851468

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.