Social modeling of eating mediated by mirror neuron activity: A causal model moderated by frontal asymmetry and BMI

McGeown, Laura; Davis, Ron

doi:10.1016/j.bbr.2017.10.009

Cited by 6 publications

(3 citation statements)

References 49 publications

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“…According to the review of Cruwys et al (2015) social modeling studies have largely focused on the intake of highenergy-dense and palatable foods, i.e., snacks. The same applies to the aforementioned studies using a video paradigm: the test products consisted of wine gums and M&M's (Hermans et al, 2012), cookies (Romero et al, 2009), and potato chips (McGeown and Davis, 2018). Social modeling of healthy eating (i.e., less palatable food) has been demonstrated as well, although with an actual model in the room (e.g., Howland et al, 2012;Robinson and Higgs, 2013) and with modeling effects that appear to be smaller (Hermans et al, 2009) or even absent (Pliner and Mann, 2004).…”

Section: Introductionmentioning

confidence: 90%

“…Others have used a video paradigm, in which the model was "present" via a digital screen (Romero et al, 2009;Hermans et al, 2012;McGeown and Davis, 2018). These latter studies gave mixed results: Hermans et al (2012) failed to find modeling effects using videos (probably because of the large difference between the contexts in which the model and participants were consuming their food), Romero et al (2009) did demonstrate social modeling via videos in children, and McGeown and Davis (2018) demonstrated social modeling mainly in participants with a lower BMI compared to those with a higher body weight.…”

Section: Introductionmentioning

confidence: 99%

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Social Modeling of Virtual Healthy Food Intake

Bulsing

Salmon

2022

Front. Comput. Sci.

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People tend to adapt the amount of their food intake to that of others around them. This so-called social modeling of eating has been extensively studied over the past decades. The current study complements these experiments and aims to investigate social modeling of healthy food intake using a video paradigm in which a virtual model consumed either a small or a large portion of apple. In addition, it was tested whether modeling effects of a virtual female confederate were equally strong in male and female participants. Thirty participants (13 female, 17 male) completed the low norm condition in which a virtual model consumed 30 g of apple. Another 30 participants (17 female, 13 male) were allocated to the high norm condition in which a virtual model consumed 100 g of apple. Participants completed an irrelevant task, after which their own intake of apple was measured. Average intake in the low norm condition was 3 g, average intake in the high norm condition was 26 g (p < 0.001). In conclusion, participants adapted their intake to that of the virtual model. This effect was found irrespective of gender; female and male participants equally adapted their intake to that of a female virtual model. Stimulating food intake via a virtual model in people who have difficulty to meet dietary requirements or inhibiting food intake in people who tend to consume too much would be interesting new steps in the development of healthcare applications.

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Section: Introductionmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Social Modeling of Virtual Healthy Food Intake

Bulsing

Salmon

2022

Front. Comput. Sci.

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“…Gracias a esta técnica, la revisión de la supresión de ondas alfa ha resultado útil en la evaluación de la toma de perspectiva. 65 Por ejemplo, estudios de Perry, Ben-Ami, Lamm, Hoenen, Lubke y Pausse; & Decety; Héroux, Gray, Joubert, Be Konick, Blanchaette, Beaulieu y De Beaumont; Pelev-Avron, Goldstein, Yellinek, Weisman-Fogel y Shamay-Toory; y Nishimura, Ikeda y Higuchi [66][67][68] han logrado determinar que la supresión de la actividad mu dentro del EEG es un indicador de empatía cognitiva y puede generarse en respuesta a representaciones visuales de otros con dolor e injusticia social. [69][70][71] Estas ondas mu (8-12 hz) son un subtipo de ondas alfa que se registran en las áreas motoras del cerebro.…”

Section: Medidas Psicofisiológicas De Evaluación De Empatía En Población Infantilunclassified

Empatía: Medidas Cognitivas y Psicofisiológicas en Población Infantil

et al. 2021

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La empatía ha consolidado una importante trayectoria investigativa desde el siglo pasado en las neurociencias cognitivas. Desde su definición como concepto, la construcción de instrumentos de evaluación para diferentes grupos de edad y la búsqueda de dominios y vertientes que aborden este componente no ha cesado. Esta revisión se dirige a recopilar los hallazgos representativos en la historia de la conceptualización del término y el desarrollo de la medición en empatía en las poblaciones, haciendo especial énfasis en los trabajos realizados con población infantil con herramientas de autoinforme y medidas psicofisiológicas. La revisión arrojó que existe un horizonte investigativo prometedor de la mano de técnicas psicofisiológicas como el EEG para la evaluación del constructo. Se discute la necesidad de profundizar en la búsqueda de patrones en la ontogenia de la empatía en la niñez, así como en el diseño de nuevas formas de medición a través de autoinforme para la práctica investigativa en países de habla hispana que involucre las dinámicas sociales y demográficas de estas poblaciones. Palabras clave: cognition, empathy, neuropsychology

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