A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Four-dimensional neural space for moral inference
Tekijät: Chen, Jinglu; Santavirta, Severi; Putkinen, Vesa; Boggio, Paulo Sérgio; Nummenmaa, Lauri
Kustantaja: Elsevier
Julkaisuvuosi: 2026
Lehti: NeuroImage
Artikkelin numero: 121724
Vuosikerta: 327
ISSN: 1053-8119
eISSN: 1095-9572
DOI: https://doi.org/10.1016/j.neuroimage.2026.121724
Julkaisun avoimuus kirjaamishetkellä: Avoimesti saatavilla
Julkaisukanavan avoimuus : Kokonaan avoin julkaisukanava
Verkko-osoite: https://doi.org/10.1016/j.neuroimage.2026.121724
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/508671952
Rinnakkaistallenteen lisenssi: CC BY NC ND
Rinnakkaistallennetun julkaisun versio: Kustantajan versio
Intuitive moral inference enables us to evaluate moral situations and judge their rightness or wrongness. Although Moral Foundations Theory provides a framework for understanding moral inference, its underlying neural basis remains unclear. To capture spontaneous neural activity during moral inference, participants were instructed to watch a film rich in moral content without making explicit judgments while undergoing fMRI scanning. Independent participants evaluated the moment-to-moment presence of twenty moral dimensions in the film. Correlation and consensus cluster analyses revealed four independent main moral dimensions: virtue, vice, hierarchy, and rebellion. While each dimension exhibited unique neural activation patterns, the temporoparietal junction and inferior parietal lobe were activated across all types of moral inference. These findings establish the low-dimensional nature for the neural basis of intuitive moral inference in everyday settings.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
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This work was supported by Aatos Erkon Säätiö, China Scholarship Council (202106040042), Alfred Kordelin Foundation, Research Council of Finland (grant #350416), National Council for Scientific and Technological Development (CNPq) researcher fellowship (grant no. 310419/2023-9) and INCT (National Institute of Science and Technology on Social and Affective Neuroscience, grant no. 406463/2022-0).
