Politics is a manifestation of the uniquely human ability to debate, decide, and reach consensus on decisions affecting large groups over long durations of time. Recent neuroimaging studies on politics have focused on the association between brain regions and specific political behaviors by adopting party or ideological affiliation as a criterion to classify either experimental stimuli or subjects. However, it is unlikely that complex political beliefs (i.e., othe government should protect freedom of speecho) are evaluated only on a liberal-to-conservative criterion. Here we used multidimensional scaling and parametric functional magnetic resonance imaging to identify which criteria/dimensions people use to structure complex political beliefs and which brain regions are concurrently activated. We found that three independent dimensions explained the variability of a set of statements expressing political beliefs and that each dimension was reflected in a distinctive pattern of neural activation: individualism (medial prefrontal cortex and temporoparietal junction), conservatism (dorsolateral prefrontal cortex), and radicalism (ventral striatum and posterior cingulate). The structures we identified are also known to be important in self-other processing, social decision-making in ambivalent situations, and reward prediction. Our results extend current knowledge on the neural correlates of the structure of political beliefs, a fundamental aspect of the human ability to coalesce into social entities.

Individualism, conservatism, and radicalism as criteria for processing political beliefs: a parametric fMRI study / Zamboni, Giovanna; Gozzi, Marta; Krueger, Frank; Duhamel, Jean René; Sirigu, Angela; Grafman, Jordan. - In: SOCIAL NEUROSCIENCE. - ISSN 1747-0919. - 4:5(2009), pp. 367-83-383. [10.1080/17470910902860308]

Individualism, conservatism, and radicalism as criteria for processing political beliefs: a parametric fMRI study

ZAMBONI, Giovanna;
2009

Abstract

Politics is a manifestation of the uniquely human ability to debate, decide, and reach consensus on decisions affecting large groups over long durations of time. Recent neuroimaging studies on politics have focused on the association between brain regions and specific political behaviors by adopting party or ideological affiliation as a criterion to classify either experimental stimuli or subjects. However, it is unlikely that complex political beliefs (i.e., othe government should protect freedom of speecho) are evaluated only on a liberal-to-conservative criterion. Here we used multidimensional scaling and parametric functional magnetic resonance imaging to identify which criteria/dimensions people use to structure complex political beliefs and which brain regions are concurrently activated. We found that three independent dimensions explained the variability of a set of statements expressing political beliefs and that each dimension was reflected in a distinctive pattern of neural activation: individualism (medial prefrontal cortex and temporoparietal junction), conservatism (dorsolateral prefrontal cortex), and radicalism (ventral striatum and posterior cingulate). The structures we identified are also known to be important in self-other processing, social decision-making in ambivalent situations, and reward prediction. Our results extend current knowledge on the neural correlates of the structure of political beliefs, a fundamental aspect of the human ability to coalesce into social entities.
2009
4
5
367-83
383
Individualism, conservatism, and radicalism as criteria for processing political beliefs: a parametric fMRI study / Zamboni, Giovanna; Gozzi, Marta; Krueger, Frank; Duhamel, Jean René; Sirigu, Angela; Grafman, Jordan. - In: SOCIAL NEUROSCIENCE. - ISSN 1747-0919. - 4:5(2009), pp. 367-83-383. [10.1080/17470910902860308]
Zamboni, Giovanna; Gozzi, Marta; Krueger, Frank; Duhamel, Jean René; Sirigu, Angela; Grafman, Jordan
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1129880
Citazioni
  • ???jsp.display-item.citation.pmc??? 13
  • Scopus 58
  • ???jsp.display-item.citation.isi??? 47
social impact