Evidence map›Paper›PMID 40894778›Full record

ArticlebioRxiv : the preprint server for biology2025

A Common Representational Code for Event and Object Concepts in the Brain.

Jia-Qing Tong, Jeffrey R Binder, Lisa L Conant, Stephen Mazurchuk, Andrew J Anderson, Leonardo Fernandino

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

6 authors.

Jia-Qing TongDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
Jeffrey R BinderDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
Lisa L ConantDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
Stephen MazurchukDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.ORCID 0000-0002-9057-6382
Andrew J AndersonDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.
Leonardo FernandinoDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA.ORCID 0000-0003-4571-0500

Funding

Concept Representation in the Human BrainR01DC016622 · NIDCD · MEDICAL COLLEGE OF WISCONSIN · PI BINDER, JEFFREY R · 2018 to 2022
$3.0M
Neural Representation of Lexical ConceptsR01DC020932 · NIDCD · MEDICAL COLLEGE OF WISCONSIN · PI Leonardo F Fernandino · 2024 to 2026
$1.2M
NIDCD NIH HHS R01 DC016622NIDCD NIH HHS R01 DC020932
6 · The paper itself

Abstract

Events and objects are two fundamental ways in which humans conceptualize their experience of the world. Despite the significance of this distinction for human cognition, it remains unclear whether the neural representations of object and event concepts are categorically distinct or, instead, can be explained in terms of a shared representational code. We investigated this question by analyzing fMRI data acquired from human participants (males and females) while they rated their familiarity with the meanings of individual words (all nouns) denoting object and event concepts. Multivoxel pattern analyses indicated that both categories of lexical concepts are represented in overlapping fashion throughout the association cortex, even in the areas that showed the strongest selectivity for one or the other type in univariate contrasts. Crucially, in these areas, a feature-based model trained on neural responses to individual event concepts successfully decoded object concepts from their corresponding activation patterns (and vice versa), showing that these two categories share a common representational code. This code was effectively modeled by a set of experiential feature ratings, which also accounted for the mean activation differences between these two categories. These results indicate that neuroanatomical dissociations between events and objects emerge from quantitative differences in the cortical distribution of more fundamental features of experience. Characterizing this representational code is an important step in the development of theory-driven brain-computer interface technologies capable of decoding conceptual content directly from brain activity.

Indexed as

categoriesconcept representationembodimenteventfMRIgrounded cognitionobjectsemantics

Identifiers

PMID40894778
PMCPMC12393606

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.