Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Experimental Model for Studying the Prefrontal EEG Biomarkers in Correlation with Food Intake Behavior: Neurofeedback Platform

Version 1 : Received: 7 August 2021 / Approved: 10 August 2021 / Online: 10 August 2021 (10:05:40 CEST)

How to cite: Al-Hiyali, M.I.; Ishak, A.J.; Harun, H.; Ahmad, S.A.; Sulaiman, W.A. Experimental Model for Studying the Prefrontal EEG Biomarkers in Correlation with Food Intake Behavior: Neurofeedback Platform. Preprints 2021, 2021080226 (doi: 10.20944/preprints202108.0226.v1). Al-Hiyali, M.I.; Ishak, A.J.; Harun, H.; Ahmad, S.A.; Sulaiman, W.A. Experimental Model for Studying the Prefrontal EEG Biomarkers in Correlation with Food Intake Behavior: Neurofeedback Platform. Preprints 2021, 2021080226 (doi: 10.20944/preprints202108.0226.v1).

Abstract

Background: This study aims to investigate the effects of visual neurofeedback stimulation on the brain activity in overweight cases. The neuroscience studies indicated the personal decision about eating under the impact of environmental factors such as (visually, smelling, tasting) is related to neural activity of the prefrontal lobe of the brain. Therefore, there were many attempts to modify the food intake behavior in overweight cases through the stimulation of the prefrontal cortex. However, the empirical viewing of EEG-neurofeedback experiments has not explicated the details about the effect of the EEG-NF, the specificity of positive treatment effects remains in a challenging scope.Methods: This study is a cue-exposure EEG-NF experiment to verify the hypothesis of effecting the EEG-NF on the electrical activity of PFC and modifying the general symptoms of food intake behavior in overweight cases. Twenty-four individuals were recruited as participants for this study. These participants were assigned randomly into two groups; the EX-Group (N=12) enrolled in 8 sessions of the EEG-NF experiment, and the C-Group (N=12) was listed in no EEG-NF sessions. The participants provided researchers with a self-report questionnaire relating to their observation of general symptoms of food intake behavior, and EEG signals recordings into the pre and posts stimulation phase. The power spectral density (PSD) method was applied for EEG parameters extraction.Results: The results of a two-way analysis of variance (ANOVA) explained that a significant variation in variables between the two groups after the EEG-NF experiment. The analysis of the quantitative variables indicated that the effect of EEG-NF experiment was a significant decrement in EEG power bands which significantly influenced changing the median of self-report questionnaire responses that is related to general symptoms of food intake behavior.Conclusions: This study provides preliminary support for the therapeutic potential of EEG-NF experiment that targets the prefrontal cortex, to influence neural processes underlying food intake behavior in overweight cases.

Keywords

EEG-Neurofeedback, Overweight, Obesity, Signal Processing, Power Spectral Density

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