Literature DB >> 27133731

The relation of hedonic hunger and restrained eating to lateralized frontal activation.

S R Winter1, E H Feig2, J Kounios2, B Erickson2, S Berkowitz2, M R Lowe2.   

Abstract

Asymmetrical alpha activation in the prefrontal cortex (frontal asymmetry) in electroencephalography (EEG) has been related to eating behavior. Prior studies linked dietary restraint with right frontal asymmetry [1] and disinhibition with left frontal asymmetry [2]. The current study simultaneously assessed restrained eating and hedonic hunger (drive for food reward in the absence of hunger) in relation to frontal asymmetry. Resting-state EEG and measures of restrained eating (Revised Restraint Scale; RRS) and hedonic hunger (Power of Food Scale; PFS) were assessed in 61 non-obese adults. Individually, hedonic hunger predicted left asymmetry. However, PFS and RRS were correlated (r=0.48, p<0.05) and there was a significant interaction between PFS and RRS on frontal asymmetry, p<0.01. Results indicated that those high in hedonic hunger exhibited left asymmetry irrespective of RRS scores; among those low in PFS, only those high in RRS showed right asymmetry. Results were consistent with literature linking avoidant behaviors (restraint) with right-frontal asymmetry and approach behaviors (binge eating) with left-frontal asymmetry. It appears that a strong drive toward palatable foods predominates at a neural level even when restraint is high. Findings suggest that lateralized frontal activity is an indicator of motivation both to consume and to avoid consuming highly palatable foods.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Appetite; EEG; Frontal asymmetry; Restraint

Mesh:

Year:  2016        PMID: 27133731     DOI: 10.1016/j.physbeh.2016.04.050

Source DB:  PubMed          Journal:  Physiol Behav        ISSN: 0031-9384


  3 in total

1.  Lack of prospective relationships of the Power of Food Scale with Body Mass Index and dieting over 2 years in U.S. emerging adults.

Authors:  Leah M Lipsky; Tonja R Nansel; Denise L Haynie; Danping Liu; Miriam H Eisenberg Colman; Bruce Simons-Morton
Journal:  Eat Behav       Date:  2019-05-17

2.  Evaluation of a Machine Learning Model Based on Pretreatment Symptoms and Electroencephalographic Features to Predict Outcomes of Antidepressant Treatment in Adults With Depression: A Prespecified Secondary Analysis of a Randomized Clinical Trial.

Authors:  Pranav Rajpurkar; Jingbo Yang; Nathan Dass; Vinjai Vale; Arielle S Keller; Jeremy Irvin; Zachary Taylor; Sanjay Basu; Andrew Ng; Leanne M Williams
Journal:  JAMA Netw Open       Date:  2020-06-01

3.  Prisoners of Addictive Cues: Biobehavioral Markers of Overweight and Obese Adults with Food Addiction.

Authors:  Roni Aviram-Friedman; Lior Kafri; Guy Baz; Uri Alyagon; Abraham Zangen
Journal:  Nutrients       Date:  2020-11-20       Impact factor: 5.717

  3 in total

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