Predictors of neurofeedback treatment outcome in binge-eating disorder: An exploratory study.

binge-eating disorder binge-eating frequency body mass index eating disorder psychopathology electroencephalography food craving functional near-infrared spectroscopy neurofeedback predictor self-efficacy

Journal

The International journal of eating disorders
ISSN: 1098-108X
Titre abrégé: Int J Eat Disord
Pays: United States
ID NLM: 8111226

Informations de publication

Date de publication:
22 Sep 2023
Historique:
revised: 05 09 2023
received: 10 05 2023
accepted: 05 09 2023
medline: 22 9 2023
pubmed: 22 9 2023
entrez: 22 9 2023
Statut: aheadofprint

Résumé

Knowledge on predictors for treatment response to psychotherapy in binge-eating disorder (BED) is mixed and not yet available for increasingly popular neurofeedback (NF) treatment targeting self-regulation of aberrant brain activity. This study examined eating disorder- and psychopathology-related predictors for NF treatment success in BED. Patients with BED (N = 78) were randomized to 12 sessions of real-time functional near-infrared spectroscopy (rtfNIRS)-NF, targeting individual prefrontal cortex signal up-regulation, electroencephalography (EEG)-NF, targeting down-regulation of fronto-central beta activity, or waitlist (WL). The few studies assessing predictors for clinical outcomes after NF and evidenced predictors for psychotherapy guided the selection of baseline eating disorder-related predictors, including objective binge-eating (OBE) frequency, eating disorder psychopathology (EDP), food cravings, and body mass index (BMI), and general psychopathology-related predictors, including depressive and anxiety symptoms, impulsivity, emotion dysregulation, and self-efficacy. These questionnaire-based or objectively assessed (BMI) predictors were regressed on outcomes OBE frequency and EDP as key features of BED at post-treatment (t1) and 6-month follow-up (t2) in preregistered generalized mixed models (https://osf.io/4aktp). Higher EDP, food cravings, and BMI predicted worse outcomes across all groups at t1 and t2. General psychopathology-related predictors did not predict outcomes at t1 and t2. Explorative analyses indicated that lower OBE frequency and higher self-efficacy predicted lower OBE frequency, and lower EDP predicted lower EDP after the waiting period in WL. Consistent with findings for psychotherapy, higher eating disorder-related predictors were associated with higher EDP and OBE frequency. The specificity of psychopathological predictors for NF treatment success warrants further examination. This exploratory study firstly assessed eating disorder- and psychopathology-related predictors for neurofeedback treatment outcome in binge-eating disorder and overweight. Findings showed an association between higher eating disorder symptoms and worse neurofeedback outcomes, indicating special needs to be considered in neurofeedback treatment for patients with a higher binge-eating disorder symptom burden. In general, outcomes and assignment to neurofeedback treatment may be improved upon consideration of baseline psychological variables.

Identifiants

pubmed: 37737523
doi: 10.1002/eat.24062
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Cusanuswerk Scholarship
Organisme : Federal Ministry of Education and Research (BMBF)
ID : 01EO1501 AD2-7110

Informations de copyright

© 2023 The Authors. International Journal of Eating Disorders published by Wiley Periodicals LLC.

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Auteurs

Sarah A Rösch (SA)

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

Ricarda Schmidt (R)

Integrated Research and Treatment Center Adiposity Diseases, Behavioral Medicine Research Unit, Leipzig University Medical Center, Leipzig, Germany.

Anja Hilbert (A)

Integrated Research and Treatment Center Adiposity Diseases, Behavioral Medicine Research Unit, Leipzig University Medical Center, Leipzig, Germany.

Classifications MeSH