Evidence map›Paper›PMID 37425853›Full record

ArticlebioRxiv : the preprint server for biology2023

Neural Basis Of Sound-Symbolic Pseudoword-Shape Correspondences.

Deborah A Barany, Simon Lacey, Kaitlyn L Matthews, Lynne C Nygaard, K Sathian

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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

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.

Deborah A BaranyDepartment of Kinesiology, University of Georgia and Augusta University/University of Georgia Medical Partnership, Athens, GA, 30602, USA.
Simon LaceyDepartment of Neurology, Penn State Colleges of Medicine and Liberal Arts, Hershey, PA 17033-0859, USA.
Kaitlyn L MatthewsDepartment of Psychology, Emory University, Atlanta, GA 30322, USA.
Lynne C NygaardDepartment of Psychology, Emory University, Atlanta, GA 30322, USA.
K SathianDepartment of Neurology, Penn State Colleges of Medicine and Liberal Arts, Hershey, PA 17033-0859, USA.

Funding

Crossmodal Correspondences Between Visual and Auditory FeaturesR01EY025978 · NEI · EMORY UNIVERSITY · PI DESHPANDE, GOPIKRISHNA, NYGAARD, LYNNE C · 2015 to 2017
$1.8M
NEI NIH HHS R01 EY025978
6 · The paper itself

Abstract

Non-arbitrary mapping between the sound of a word and its meaning, termed sound symbolism, is commonly studied through crossmodal correspondences between sounds and visual shapes, e.g., auditory pseudowords, like 'mohloh' and 'kehteh', are matched to rounded and pointed visual shapes, respectively. Here, we used functional magnetic resonance imaging (fMRI) during a crossmodal matching task to investigate the hypotheses that sound symbolism (1) involves language processing; (2) depends on multisensory integration; (3) reflects embodiment of speech in hand movements. These hypotheses lead to corresponding neuroanatomical predictions of crossmodal congruency effects in (1) the language network; (2) areas mediating multisensory processing, including visual and auditory cortex; (3) regions responsible for sensorimotor control of the hand and mouth. Right-handed participants ( HIGHLIGHTS: fMRI investigation of sound-symbolic correspondences between auditory pseudowords and visual shapesFaster reaction times for congruent than incongruent audiovisual stimuliGreater activation in auditory and visual cortices for congruent stimuliHigher classification accuracy for congruent stimuli in language and visual areasSound symbolism involves language processing and multisensory integration.

Identifiers

PMID37425853
PMCPMC10327042

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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.