Deeper Than You Think: Partisanship-Dependent Brain Responses in Early Sensory and Motor Brain Regions.
IS-RSA
ISC
brain
fMRI
naturalistic stimuli
partisanship
Journal
The Journal of neuroscience : the official journal of the Society for Neuroscience
ISSN: 1529-2401
Titre abrégé: J Neurosci
Pays: United States
ID NLM: 8102140
Informations de publication
Date de publication:
08 02 2023
08 02 2023
Historique:
received:
10
05
2022
revised:
14
12
2022
accepted:
22
12
2022
pubmed:
5
1
2023
medline:
11
2
2023
entrez:
4
1
2023
Statut:
ppublish
Résumé
Recent political polarization has illustrated how individuals with opposing political views often experience ongoing events in markedly different ways. In this study, we explored the neural mechanisms underpinning this phenomenon. We conducted fMRI scanning of 34 right- and left-wing participants (45% females) watching political videos (e.g., campaign ads and political speeches) just before the elections in Israel. As expected, we observed significant differences between left- and right-wing participants in their interpretation of the videos' content. Furthermore, neuroimaging results revealed partisanship-dependent differences in activation and synchronization in higher-order regions. Surprisingly, such differences were also revealed in early sensory, motor, and somatosensory regions. We found that the political content synchronized the responses of primary visual and auditory cortices in a partisanship-dependent manner. Moreover, right-wing (and not left-wing) individuals' sensorimotor cortex was involved in processing right-wing (and not left-wing) political content. These differences were pronounced to the extent that we could predict political orientation from the early brain-response alone. Importantly, no such differences were found with respect to neutral content. Therefore, these results uncover more fundamental neural mechanisms underlying processes of political polarization.
Identifiants
pubmed: 36599681
pii: JNEUROSCI.0895-22.2022
doi: 10.1523/JNEUROSCI.0895-22.2022
pmc: PMC9908315
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1027-1037Informations de copyright
Copyright © 2023 the authors.
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