Mega-Analysis on the Neural Correlates of Food Viewing and its’ Association with Gender, Age, BMI and Hunger State

March, Jennifer (2021) Mega-Analysis on the Neural Correlates of Food Viewing and its’ Association with Gender, Age, BMI and Hunger State. Master's Thesis / Essay, Behavioural and Cognitive Neurosciences.

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Abstract

The omnipresence of food cues in our environment stimulates overeating and contributes to the obesity epidemic. The neural response when viewing these food cues could elucidate the mechanism through which they stimulate overconsumption. Heterogeneity between studies conducted so far may have impeded the detection of small effects. These limitations may be overcome by data pooling on the subject-level (i.e., mega-analysis).The objective was to establish a mega-analysis of food viewing. We aim to investigate brain response to food versus non-food viewing (F>NF) and high caloric versus low-caloric food viewing (HC>LC) accounting for gender, age, BMI and hunger state. Studies were searched using the database PubMed. Eligibility criteria included: the publication in a peer-reviewed journal, in English, between 2005 and 2021 reporting fMRI brain response using a passive food viewing paradigm.Data from 1030 individuals (15 studies) were included. After data harmonisation two multiple regressions investigating brain activation in response F>NF and HC>LC were performed.Image quality was found to be suboptimal. Implications of the results and improvement opportunities for fMRI mega-analysis are discussed.

Item Type:	Thesis (Master's Thesis / Essay)
Supervisor name:	Curcic-Blake, B.
Degree programme:	Behavioural and Cognitive Neurosciences
Thesis type:	Master's Thesis / Essay
Language:	English
Date Deposited:	30 Aug 2021 09:50
Last Modified:	30 Aug 2021 09:50
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/25857

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