Evidence map›Paper›PMID 41674677›Full record

ArticleImaging neuroscience (Cambridge, Mass.)

A common framework for semantic memory and semantic composition.

Ryan M C Law, Matthew A Lambon Ralph, Olaf Hauk

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.). 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

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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
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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.

Ryan M C LawMRC Cognition & Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-1175-4604
Matthew A Lambon RalphMRC Cognition & Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0001-5907-2488
Olaf HaukMRC Cognition & Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-0817-6054

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How the brain constructs meaning from individual words and phrases is a fundamental question for research in semantic cognition, language, and their disorders. These two aspects of meaning are traditionally studied separately, resulting in two large, multi-method literatures, which we sought to bring together in this study. Not only would this address basic cognitive questions of how semantic cognition operates but also because, despite their distinct focuses, both literatures ascribe a critical role to the anterior temporal lobe (ATL) in each aspect of semantics. Given these considerations, we explored the notion that these systems rely on common underlying computational principles when activating conceptual semantic representations via single words, versus building a coherent semantic representation across sequences of words. The present pre-registered study used magnetoencephalography and electroencephalography to track brain activity in participants reading nouns and adjective-noun phrases, while integrating conceptual variables from both literatures: the concreteness of nouns (e.g., "lettuce" vs. "fiction") and the denotational semantics of adjectives (subsective vs. privative, e.g., "bad" vs. "fake"). Region-of-interest analyses show that bilateral ATLs responded more strongly to phrases at different time points, irrespective of concreteness. Decoding analyses on ATL signals further revealed a time-varying representational format for adjective semantics, whereas representations of noun concreteness were more stable and maintained for around 300 ms. Further, the neural representation of noun concreteness was modulated by the preceding adjectives: decoders learning concreteness signals in single words generalised better to subsective relative to privative phrases. These findings point to a unified ATL function for semantic memory and composition.

Indexed as

compositional generalisationdecodingmagnetoencephalographysemantic cognitionsemantic compositionsemantic memory

Identifiers

PMID41674677
PMCPMC12887245

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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.