Use of Prosocial Word Enhances the Processing of Language: Frequency Domain Analysis of Human EEG.


Journal

Journal of psycholinguistic research
ISSN: 1573-6555
Titre abrégé: J Psycholinguist Res
Pays: United States
ID NLM: 0333506

Informations de publication

Date de publication:
Feb 2019
Historique:
pubmed: 26 7 2018
medline: 31 5 2019
entrez: 26 7 2018
Statut: ppublish

Résumé

Use of prosocial language enhances human cooperation and harmony. Previous research has shown that talking about helping, sharing and giving to others creates positive impression on others, by which individuals and governments gain public approval. So far, the value judgement of approval and disapproval in terms of prosocial or antisocial has not been investigated in the domain of neuroscience of language. Here, the influence of prosocial words towards neural adaptability for greater acceptance is examined using behavioural response mapping with electroencephalography activities of human brain. The prosocial and antisocial words employing correct and incorrect set of sentences in English are presented to participants for performing grammatical judgement task. Our results show that processing of antisocial word requires larger neurocognitive resources as compared to prosocial one, which is corroborated with our behavioural response time suggesting higher response time for antisocial than prosocial words.

Identifiants

pubmed: 30043323
doi: 10.1007/s10936-018-9595-2
pii: 10.1007/s10936-018-9595-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

145-161

Subventions

Organisme : Seed Grant, NIT Raipur
ID : NITRR/SeedGrant/2016-17/009
Organisme : Department of Science and Technology, Government of West Bengal (IN)
ID : SERB/ECR/00015

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Auteurs

Shashikanta Tarai (S)

Department of Humanities and Social Sciences, National Institute of Technology, Raipur, Raipur, India.

Rupsha Mukherjee (R)

Department of Biomedical Engineering, National Institute of Technology, Raipur, Raipur, 492010, India.

Quais Ain Qurratul (QA)

Department of Biomedical Engineering, National Institute of Technology, Raipur, Raipur, 492010, India.

Bikesh Kumar Singh (BK)

Department of Biomedical Engineering, National Institute of Technology, Raipur, Raipur, 492010, India.

Arindam Bit (A)

Department of Biomedical Engineering, National Institute of Technology, Raipur, Raipur, 492010, India. arinbit.bme@nitrr.ac.in.

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Classifications MeSH