Evidence map›Paper›PMID 31444898›Full record

ArticleHuman brain mapping2019

Affective iconic words benefit from additional sound-meaning integration in the left amygdala.

Arash Aryani, Chun-Ting Hsu, Arthur M Jacobs

Abstract read
In one paragraph

Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  3. Article
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  5. Article
  6. Neuroimaging of valence decisions in children and adults.Developmental cognitive neuroscience · 2021
    Article
  7. Article
  8. Affective Arousal Links Sound to Meaning.Psychological science · 2020
    Article
  9. 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

3 authors.

Arash AryaniDepartment of Experimental and Neurocognitive Psychology, Freie Universität Berlin, Germany.ORCID 0000-0002-0246-9422
Chun-Ting HsuKokoro Research Center, Kyoto University, Kyoto, Japan.ORCID 0000-0002-1829-6642
Arthur M JacobsDepartment of Experimental and Neurocognitive Psychology, Freie Universität Berlin, Germany.

Funding

German Research Foundation
6 · The paper itself

Abstract

Recent studies have shown that a similarity between sound and meaning of a word (i.e., iconicity) can help more readily access the meaning of that word, but the neural mechanisms underlying this beneficial role of iconicity in semantic processing remain largely unknown. In an fMRI study, we focused on the affective domain and examined whether affective iconic words (e.g., high arousal in both sound and meaning) activate additional brain regions that integrate emotional information from different domains (i.e., sound and meaning). In line with our hypothesis, affective iconic words, compared to their non-iconic counterparts, elicited additional BOLD responses in the left amygdala known for its role in multimodal representation of emotions. Functional connectivity analyses revealed that the observed amygdalar activity was modulated by an interaction of iconic condition and activations in two hubs representative for processing sound (left superior temporal gyrus) and meaning (left inferior frontal gyrus) of words. These results provide a neural explanation for the facilitative role of iconicity in language processing and indicate that language users are sensitive to the interaction between sound and meaning aspect of words, suggesting the existence of iconicity as a general property of human language.

Indexed as

Functional LateralityLanguageSemanticsAcoustic StimulationAdultAmygdalaFemaleHumansMagnetic Resonance ImagingMaleYoung Adultaffective iconicityfMRIlanguage and emotionleft amygdalaneurocognitive poeticsphonaestheticssound symbolism

Identifiers

PMID31444898
PMCPMC6864889

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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.