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Related Concept Videos

Binge Eating Disorders01:23

Binge Eating Disorders

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Binge eating disorder is a significant mental health condition characterized by recurrent episodes of excessive food consumption within a short period, accompanied by a perceived loss of control over eating behavior. Unlike occasional overeating, binge eating disorder is marked by distressing emotions such as guilt, shame, and anxiety following binge episodes. The disorder affects individuals across different ages and backgrounds, with profound implications for physical and psychological...
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Bulimia Nervosa01:30

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Bulimia nervosa is a complex and severe eating disorder characterized by a cyclical pattern of binge-and-purge eating pattern. It generally involves an episode of binge eating, followed by compensatory behaviors such as vomiting, excessive exercise, laxative use, or fasting, to prevent weight gain. Despite often maintaining a normal weight, individuals with bulimia are intensely preoccupied with their body image and harbor an overwhelming fear of gaining weight. This can contribute to the...
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Related Experiment Video

Updated: Jan 13, 2026

Control of Eating Behavior Using a Novel Feedback System
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Neurofeedback for Binge-Eating Disorder: Neurophysiological Outcome Predictors and Rapid Response.

Ben Schreglmann1, Ricarda Schmidt1, Michael Lührs2,3

  • 1Integrated Research and Treatment Center Adiposity Diseases, Behavioral Medicine Research Unit, Department of Psychosomatic Medicine and Psychotherapy, Leipzig University Medical Center, Leipzig, Germany.

The International Journal of Eating Disorders
|January 7, 2026
PubMed
Summary
This summary is machine-generated.

Neurofeedback (NF) using electroencephalography (EEG) or near-infrared spectroscopy (fNIRS) shows promise for binge-eating disorder (BED). Pretreatment brain activity predicts treatment success, guiding personalized NF therapy for BED.

Keywords:
EEGfNIRSbinge‐eating disorderbrain‐directed treatmentselectroencephalographyfunctional near‐infrared spectroscopyneurofeedbackneurophysiological markersoutcome predictorsrapid response

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Area of Science:

  • Neuroscience
  • Clinical Psychology
  • Medical Technology

Background:

  • Pioneer studies indicate food-specific electroencephalography (EEG) and real-time functional near-infrared spectroscopy (rtfNIRS) neurofeedback (NF) are effective for binge-eating disorder (BED).
  • These NF trainings aim to enhance neurophysiological self-regulation in patients with BED.
  • Pretreatment neurophysiological activity, a potential predictor of NF outcomes, has not been thoroughly investigated.

Purpose of the Study:

  • To explore pretreatment neurophysiological activity as a predictor of treatment outcomes in BED patients undergoing EEG- or rtfNIRS-NF.
  • To investigate the predictive value of fronto-central high beta power (EEG) and prefrontal oxygenation (fNIRS) on treatment success.
  • To assess the role of rapid response (RR) in predicting treatment outcomes for BED.

Main Methods:

  • Analysis of data from a randomized-controlled trial involving 47 adults with BED.
  • Utilized Bayesian linear models to examine pretreatment EEG high beta power, fNIRS oxygenation, and RR as predictors.
  • Assessed outcomes reflecting mental and physical health at posttreatment and 6-month follow-up.

Main Results:

  • Higher high beta power during passive food viewing, lower high beta power, and less oxygenation during NF tasks predicted better outcomes.
  • Rapid response (RR) also predicted favorable outcomes, including reduced binge-eating episodes and increased abstinence.
  • Neurophysiological predictors, particularly EEG activity, demonstrated greater predictive value than RR.

Conclusions:

  • Pretreatment neurophysiological activity is relevant for predicting NF treatment outcomes in BED.
  • Patients with heightened involuntary attention to food stimuli benefited most from EEG-NF.
  • Individuals with greater challenges in voluntary cognitive control over food cues responded better to rtfNIRS-NF, suggesting potential for personalized treatment allocation.