Neural networks supporting social evaluation of bodies based on body shape

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Neural networks supporting social evaluation of bodies based on body shape. / Greven, Inez; Downing, Paul; Ramsey, Richard.
Yn: Social Neuroscience, Cyfrol 14, Rhif 3, 05.2019, t. 328-344.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

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Greven I, Downing P, Ramsey R. Neural networks supporting social evaluation of bodies based on body shape. Social Neuroscience. 2019 Mai;14(3):328-344. Epub 2018 Maw 13. doi: 10.1080/17470919.2018.1448888

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Greven, Inez ; Downing, Paul ; Ramsey, Richard. / Neural networks supporting social evaluation of bodies based on body shape. Yn: Social Neuroscience. 2019 ; Cyfrol 14, Rhif 3. tt. 328-344.

RIS

TY - JOUR

T1 - Neural networks supporting social evaluation of bodies based on body shape

AU - Greven, Inez

AU - Downing, Paul

AU - Ramsey, Richard

PY - 2019/5

Y1 - 2019/5

N2 - Body shape cues inferences regarding personality and health, but the neural processes underpinning such inferences remain poorly understood. Across two fMRI experiments, we test the extent to which neural networks associated with body perception and theory-of-mind (ToM) support social inferences based on body shape. Participants observed obese, muscular, and slim bodies that cued distinct social inferences as pilot experiments revealed. To investigate judgment intentionality, the first fMRI experiment required participants to detect repeat presentations of bodies, whereas in fMRI Experiment 2 participants intentionally formed an impression. Body and ToM networks were localized using independent functional localisers. Experiment 1 revealed no differential network engagement for muscular or obese compared to slim bodies. By contrast, in Experiment 2, compared to slim bodies, forming impressions of muscular bodies engaged the body-network more, whereas the ToM-network was engaged more when forming impressions of obese bodies. These results demonstrate that social judgments based on body shape do not rely on a single neural mechanism, but rather on multiple mechanisms that are separately sensitive to body fat and muscularity. Moreover, dissociable responses are only apparent when intentionally forming an impression. Thus, these experiments show how segregated networks operate to extract socially-relevant information cued by body shape.

AB - Body shape cues inferences regarding personality and health, but the neural processes underpinning such inferences remain poorly understood. Across two fMRI experiments, we test the extent to which neural networks associated with body perception and theory-of-mind (ToM) support social inferences based on body shape. Participants observed obese, muscular, and slim bodies that cued distinct social inferences as pilot experiments revealed. To investigate judgment intentionality, the first fMRI experiment required participants to detect repeat presentations of bodies, whereas in fMRI Experiment 2 participants intentionally formed an impression. Body and ToM networks were localized using independent functional localisers. Experiment 1 revealed no differential network engagement for muscular or obese compared to slim bodies. By contrast, in Experiment 2, compared to slim bodies, forming impressions of muscular bodies engaged the body-network more, whereas the ToM-network was engaged more when forming impressions of obese bodies. These results demonstrate that social judgments based on body shape do not rely on a single neural mechanism, but rather on multiple mechanisms that are separately sensitive to body fat and muscularity. Moreover, dissociable responses are only apparent when intentionally forming an impression. Thus, these experiments show how segregated networks operate to extract socially-relevant information cued by body shape.

KW - Functional MRI

KW - body perception

KW - body shape

KW - theory-of-mind

U2 - 10.1080/17470919.2018.1448888

DO - 10.1080/17470919.2018.1448888

M3 - Article

VL - 14

SP - 328

EP - 344

JO - Social Neuroscience

JF - Social Neuroscience

SN - 1747-0919

IS - 3

ER -