Neural Responses to Fat Talk Depend on Body Weight: An fNIRS Study in Natural Conversations

Fat talk—self-critical comments about weight or body—is common, especially among young women. It leads to body image issues like body surveillance and dissatisfaction, but individuals might recover by disengaging from fat talk. This study aims to investigate the neural mechanisms underlying fat talk, with particular emphasis on the moderating role of body weight. A total of 116 participants took part in a fat talk session, which was preceded and followed by discussions on non-body-related topics, such as sharing travel experiences or discussing room decor. These discussions were referred to as the pre-test and post-test talks, respectively. Brain activity in the frontal and parietal regions was continuously recorded using fNIRS throughout all phases. Results showed that participants with higher Body Mass Index (BMI) reported increased body surveillance following the fat talk, which subsided after the post-test talk; this pattern was not observed in participants with lower BMI. Neuroimaging findings revealed that higher BMI was associated with decreased functional connectivity among brain regions involved in body-related cognitive control during the fat talk, and increased connectivity in regions associated with emotional regulation during the post-test talk. In contrast, participants with lower BMI exhibited enhanced connectivity in cognitive control regions related to body surveillance both during and after the fat talk. These findings suggest distinct neural and regulatory responses to fat talk based on body weight.

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Publication Details

Journal
IEEE Journal of Selected Topics in Quantum Electronics
Published
2025-05-26
DOI
https://doi.org/10.1109/jstqe.2025.3573919
Citations
1
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
2.12
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article

Neural Responses to Fat Talk Depend on Body Weight: An fNIRS Study in Natural Conversations

Yafeng Pan, Yinying Hu, Xiangping Gao, Yuqi Liu et al.
1 citations
IEEE Journal of Selected Topics in Quantum Electronics
Emotion and Mood Recognition
2.12
article

Neural Responses to Fat Talk Depend on Body Weight: An fNIRS Study in Natural Conversations

Yafeng Pan, Yinying Hu, Xiangping Gao, Yuqi Liu, Xiaojun Cheng
article en
1 citations

Abstract

Fat talk—self-critical comments about weight or body—is common, especially among young women. It leads to body image issues like body surveillance and dissatisfaction, but individuals might recover by disengaging from fat talk. This study aims to investigate the neural mechanisms underlying fat talk, with particular emphasis on the moderating role of body weight. A total of 116 participants took part in a fat talk session, which was preceded and followed by discussions on non-body-related topics, such as sharing travel experiences or discussing room decor. These discussions were referred to as the pre-test and post-test talks, respectively. Brain activity in the frontal and parietal regions was continuously recorded using fNIRS throughout all phases. Results showed that participants with higher Body Mass Index (BMI) reported increased body surveillance following the fat talk, which subsided after the post-test talk; this pattern was not observed in participants with lower BMI. Neuroimaging findings revealed that higher BMI was associated with decreased functional connectivity among brain regions involved in body-related cognitive control during the fat talk, and increased connectivity in regions associated with emotional regulation during the post-test talk. In contrast, participants with lower BMI exhibited enhanced connectivity in cognitive control regions related to body surveillance both during and after the fat talk. These findings suggest distinct neural and regulatory responses to fat talk based on body weight.

IEEE Journal of Selected Topics in Quantum ElectronicsVol. 31(4: Adv. in Neurophoton. for Non)
Shenzhen University (CN), Shanghai Normal University (CN), First Affiliated Hospital Zhejiang University (CN), Zhejiang University (CN)
Zero hunger
Openalex Percentile: Top 14%
Emotion and Mood Recognition
2.12
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