Neural Responses to Food Pictures and Their Association with Dietary Intake

BACKGROUND: Food-related visual cues may affect eating behavior and energy intake. The purpose of this study was to determine the neural response to pictures of food and whether or not the neural responses were associated with energy intake. METHODS: Using a cross-sectional design, 60 adults partici...

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Bibliographic Details
Main Author: Christenson, Edward
Format: Others
Published: BYU ScholarsArchive 2012
Subjects:
EEG
LPP
N2
Online Access:https://scholarsarchive.byu.edu/etd/5629
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6628&context=etd
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spelling ndltd-BGMYU2-oai-scholarsarchive.byu.edu-etd-66282019-05-16T03:25:32Z Neural Responses to Food Pictures and Their Association with Dietary Intake Christenson, Edward BACKGROUND: Food-related visual cues may affect eating behavior and energy intake. The purpose of this study was to determine the neural response to pictures of food and whether or not the neural responses were associated with energy intake. METHODS: Using a cross-sectional design, 60 adults participated in this study. Each participant reported to the laboratory in a fasted state, were fitted with a 128-electrode electroencephalogram (EEG) net, and were shown pictures grouped into three categories: high-calorie foods, low-calorie foods, and distractor pictures. These pictures were shown in random order. Furthermore, participants were shown these pictures in one passive condition and two active conditions (also in random order). The passive condition required participants to view pictures in a relaxed state while neural responses were recorded. The active conditions required participants to be actively engaged with the picture by pressing or withholding a specified button on a keyboard (go/no go task). The active conditions included only high- and low-calorie foods. Event Related Potentials (ERP) of interest were the N2, P300, and late positive potential (LPP). The National Cancer Institute's Automated Self-administered 24-hour Dietary Recall (ASA24) was used to assess energy and macronutrient intake. RESULTS: The N2 amplitude, when amplitude for high-calorie pictures is subtracted from the amplitude of low-calorie pictures, was significantly different for each active condition (F = 41.23; p < 0.0001). However, neural responses to picture-type for the N2, P300 and LPP were not different (p > 0.05). The difference in N2 amplitude, for the high-calorie no go condition that results from the amplitude for low and high-calorie pictures being subtracted from each other, was significantly associated with carbohydrate intake (r = -0.263) and significantly predicted carbohydrate intake (regression coefficient = -56.821; p = 0.043) but not energy, fat, or protein intake (p > 0.05). Neither the P300 nor the LPP was correlated with or predicted energy and macronutrient intake (p > 0.05). CONCLUSION: The N2 differentiates depending on the no go stimulus. The difference in N2 amplitude, for the high-calorie no go condition, may be an index of carbohydrate intake. The P300 and LPP do not appear to differentiate between pictures of high- and low-calorie foods, nor do they correlate with energy or macronutrient intake. 2012-12-01T08:00:00Z text application/pdf https://scholarsarchive.byu.edu/etd/5629 https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6628&amp;context=etd http://lib.byu.edu/about/copyright/ All Theses and Dissertations BYU ScholarsArchive visual stimuli food EEG LPP P300 N2 energy intake Exercise Science
collection NDLTD
format Others
sources NDLTD
topic visual stimuli
food
EEG
LPP
P300
N2
energy intake
Exercise Science
spellingShingle visual stimuli
food
EEG
LPP
P300
N2
energy intake
Exercise Science
Christenson, Edward
Neural Responses to Food Pictures and Their Association with Dietary Intake
description BACKGROUND: Food-related visual cues may affect eating behavior and energy intake. The purpose of this study was to determine the neural response to pictures of food and whether or not the neural responses were associated with energy intake. METHODS: Using a cross-sectional design, 60 adults participated in this study. Each participant reported to the laboratory in a fasted state, were fitted with a 128-electrode electroencephalogram (EEG) net, and were shown pictures grouped into three categories: high-calorie foods, low-calorie foods, and distractor pictures. These pictures were shown in random order. Furthermore, participants were shown these pictures in one passive condition and two active conditions (also in random order). The passive condition required participants to view pictures in a relaxed state while neural responses were recorded. The active conditions required participants to be actively engaged with the picture by pressing or withholding a specified button on a keyboard (go/no go task). The active conditions included only high- and low-calorie foods. Event Related Potentials (ERP) of interest were the N2, P300, and late positive potential (LPP). The National Cancer Institute's Automated Self-administered 24-hour Dietary Recall (ASA24) was used to assess energy and macronutrient intake. RESULTS: The N2 amplitude, when amplitude for high-calorie pictures is subtracted from the amplitude of low-calorie pictures, was significantly different for each active condition (F = 41.23; p < 0.0001). However, neural responses to picture-type for the N2, P300 and LPP were not different (p > 0.05). The difference in N2 amplitude, for the high-calorie no go condition that results from the amplitude for low and high-calorie pictures being subtracted from each other, was significantly associated with carbohydrate intake (r = -0.263) and significantly predicted carbohydrate intake (regression coefficient = -56.821; p = 0.043) but not energy, fat, or protein intake (p > 0.05). Neither the P300 nor the LPP was correlated with or predicted energy and macronutrient intake (p > 0.05). CONCLUSION: The N2 differentiates depending on the no go stimulus. The difference in N2 amplitude, for the high-calorie no go condition, may be an index of carbohydrate intake. The P300 and LPP do not appear to differentiate between pictures of high- and low-calorie foods, nor do they correlate with energy or macronutrient intake.
author Christenson, Edward
author_facet Christenson, Edward
author_sort Christenson, Edward
title Neural Responses to Food Pictures and Their Association with Dietary Intake
title_short Neural Responses to Food Pictures and Their Association with Dietary Intake
title_full Neural Responses to Food Pictures and Their Association with Dietary Intake
title_fullStr Neural Responses to Food Pictures and Their Association with Dietary Intake
title_full_unstemmed Neural Responses to Food Pictures and Their Association with Dietary Intake
title_sort neural responses to food pictures and their association with dietary intake
publisher BYU ScholarsArchive
publishDate 2012
url https://scholarsarchive.byu.edu/etd/5629
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6628&amp;context=etd
work_keys_str_mv AT christensonedward neuralresponsestofoodpicturesandtheirassociationwithdietaryintake
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