Evidence map›Paper›PMID 35115397›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Decoding the information structure underlying the neural representation of concepts.

Leonardo Fernandino, Jia-Qing Tong, Lisa L Conant, Colin J Humphries, Jeffrey R Binder

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
20.1field-weighted citation impact, top 1% of its field
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

58 citing papers in PubMed, 157 citations in OpenAlex.

  1. Article
  2. Resolving the Abstract-Concrete Paradox in the Angular Gyrus: A Multimethod Investigation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
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  7. AI-Enhanced Semantic Feature Norms for 786 Concepts.Topics in cognitive science · 2026
    Article
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  14. A Common Representational Code for Event and Object Concepts in the Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  15. Article
  16. Abstract word dropout and cross-speaker misalignment of word concreteness are features of conversation in aging.Cortex; a journal devoted to the study of the nervous system and behavior · 2025
    Article
  17. Article
  18. The Dimensionality of Neural Coding for Cognitive Control Is Gradually Transformed within the Lateral Prefrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  19. Article
  20. 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

5 authors at 1 institution in 1 country.

Leonardo FernandinoDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI 53226; lfernandino@mcw.edu.ORCID 0000-0003-4571-0500
Jia-Qing TongDepartment of Biophysics, Medical College of Wisconsin, Milwaukee, WI 53226.ORCID 0000-0002-2587-0251
Lisa L ConantDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI 53226.
Colin J HumphriesDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI 53226.
Jeffrey R BinderDepartment of Neurology, Medical College of Wisconsin, Milwaukee, WI 53226.ORCID 0000-0002-2233-5640
Medical College of Wisconsin · US

Funding

Concept Representation in the Human BrainR01DC016622 · NIDCD · MEDICAL COLLEGE OF WISCONSIN · PI BINDER, JEFFREY R · 2018 to 2022
$3.0M
NIDCD NIH HHS R01 DC016622
6 · The paper itself

Abstract

The nature of the representational code underlying conceptual knowledge remains a major unsolved problem in cognitive neuroscience. We assessed the extent to which different representational systems contribute to the instantiation of lexical concepts in high-level, heteromodal cortical areas previously associated with semantic cognition. We found that lexical semantic information can be reliably decoded from a wide range of heteromodal cortical areas in the frontal, parietal, and temporal cortex. In most of these areas, we found a striking advantage for experience-based representational structures (i.e., encoding information about sensory-motor, affective, and other features of phenomenal experience), with little evidence for independent taxonomic or distributional organization. These results were found independently for object and event concepts. Our findings indicate that concept representations in the heteromodal cortex are based, at least in part, on experiential information. They also reveal that, in most heteromodal areas, event concepts have more heterogeneous representations (i.e., they are more easily decodable) than object concepts and that other areas beyond the traditional "semantic hubs" contribute to semantic cognition, particularly the posterior cingulate gyrus and the precuneus.

Indexed as

AdultBrain MappingCognitionConcept FormationFemaleHumansMagnetic Resonance ImagingMaleParietal LobeSemanticsTemporal LobeYoung Adultconcept representationembodied semanticslexical semanticsrepresentational similarity analysissemantic memory

Identifiers

PMID35115397
PMCPMC8832989
OpenAlexW4220670607

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.