Neurofeedback strategies in binge-eating disorder as predictors of EEG-neurofeedback regulation success

Jytte Wimmer; Sarah Alica Rösch; Ricarda Schmidt; Anja Hilbert

doi:10.3389/fnhum.2023.1234085

Neurofeedback strategies in binge-eating disorder as predictors of EEG-neurofeedback regulation success

Front Hum Neurosci. 2023 Oct 30:17:1234085. doi: 10.3389/fnhum.2023.1234085. eCollection 2023.

Authors

Jytte Wimmer^#¹, Sarah Alica Rösch^#^{1

2}, Ricarda Schmidt¹, Anja Hilbert¹

Affiliations

¹ Integrated Research and Treatment Center Adiposity Diseases, Behavioral Medicine Research Unit, Leipzig University Medical Center, Leipzig, Germany.
² International Max Planck Research School NeuroCom, Leipzig, Germany.

^# Contributed equally.

Abstract

Introduction: Treatment options such as neurofeedback (NF) that directly target the link between aberrant brain activity patterns and dysfunctional eating behaviors in binge-eating disorder (BED) are emerging. However, virtually nothing is known about mental strategies used to modulate food-specific brain activity and the associated brain-based or subjective success of specific strategies. This study firstly investigated the use of mental strategies in response to individually appetitive food cues in adults with BED and overweight or obesity based on a randomized-controlled trial providing electroencephalography (EEG)- or real-time functional near-infrared spectroscopy (rtfNIRS)-NF to BED.

Methods: Strategy reports written by participants were classified with qualitative content analysis. Additionally, the mental strategies employed by the N = 23 patients who received EEG-NF targeting the reduction of fronto-central high beta activity were analyzed quantitatively through their link with subjective and EEG-NF regulation success.

Results: The following eight categories, ordered by frequency in descending order, were found: "Behavior," "Imagination," "Emotion," "Distraction," "Thought," "Concentration," "Self-Talk" and "No Strategy." Linear mixed models revealed "Imagination," "Behavior," and "Thought" strategies as positive predictors of EEG-NF regulation success (defined as high beta activity during regulation beneath the baseline), and "Concentration" as a negative predictor of subjective (i.e., self-reported) NF regulation success.

Discussion: In conclusion, our study offers a classification system that may be used in future studies assessing strategy use for regulating food-related responses in patients with BED and associated overweight/obesity, providing valuable information on potential benefits of specific strategies and transferability to situations outside the NF treatment.

Keywords: EEG; beta treatment; binge-eating disorder; brain activity; cognitive control; mental strategy; neurofeedback; obesity.

Grants and funding

This research was funded by the Grant “Near Infrared Spectroscopy Neurofeedback for Binge-Eating Disorder (NIRSBED)” by the Federal Ministry of Education and Research (BMBF), Germany, FKZ: 01EO1501 AD2-7110 to AH. SR was supported by the Cusanuswerk scholarship program. This research was funded by the Open Access Publishing Fund of Leipzig University, which is supported by the German Research Foundation within the program Open Access Publication Funding.