Evidence map›Paper›PMID 31427938›Full record

ReviewFrontiers in human neuroscience2019

Concrete vs. Abstract Semantics: From Mental Representations to Functional Brain Mapping.

Nadezhda Mkrtychian, Evgeny Blagovechtchenski, Diana Kurmakaeva, Daria Gnedykh, Svetlana Kostromina, Yury Shtyrov

Abstract readReview
In one paragraph

Review in Frontiers in human neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Nadezhda MkrtychianLaboratory of Behavioral Neurodynamics, St. Petersburg State University, Saint Petersburg, Russia.
Evgeny BlagovechtchenskiLaboratory of Behavioral Neurodynamics, St. Petersburg State University, Saint Petersburg, Russia.
Diana KurmakaevaLaboratory of Behavioral Neurodynamics, St. Petersburg State University, Saint Petersburg, Russia.
Daria GnedykhLaboratory of Behavioral Neurodynamics, St. Petersburg State University, Saint Petersburg, Russia.
Svetlana KostrominaLaboratory of Behavioral Neurodynamics, St. Petersburg State University, Saint Petersburg, Russia.
Yury ShtyrovLaboratory of Behavioral Neurodynamics, St. Petersburg State University, Saint Petersburg, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nature of abstract and concrete semantics and differences between them have remained a debated issue in psycholinguistic and cognitive studies for decades. Most of the available behavioral and neuroimaging studies reveal distinctions between these two types of semantics, typically associated with a so-called "concreteness effect." Many attempts have been made to explain these differences using various approaches, from purely theoretical linguistic and cognitive frameworks to neuroimaging experiments. In this brief overview, we will try to provide a snapshot of these diverse views and relationships between them and highlight the crucial issues preventing this problem from being solved. We will argue that one potentially beneficial way forward is to identify the neural mechanisms underpinning acquisition of the different types of semantics (e.g., by using neurostimulation techniques to establish causal relationships), which may help explain the distinctions found between the processing of concrete and abstract semantics.

Indexed as

brainconcrete and abstract semanticsconcreteness effectfunctional brain mappingmemory tracemental representationpsycholinguistics

Identifiers

PMID31427938
PMCPMC6687846

What OpenQuestion holds

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LicenceCC BY
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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.