Bulimia Nervosa

The goal of this study is to develop and test a digital program to help people with eating disorders in their everyday lives. The program uses brief surveys and sensor data collected by smartphones to understand when someone may be at higher risk for behaviors like restricting food, binge eating, or using unhealthy weight control behaviors.

This project will evaluate MDMA Assisted Therapy (MDMA-AT) assisted psychotherapy for the treatment of Bulimia Nervosa (BN) over a 10-week period. Preliminary data suggests that MDMA can facilitate heightened openness and reduce anxiety. This study will determine whether MDMA-assisted therapy can serve as a new treatment for BN. Participants are assigned to one of three groups: MDMA-AT, MDMA-AT-BN, and Standard Treatment (ST). MDMA groups include three experimental session that include dosing, which are each followed by three integrative sessions and also include 12 psychotherapy sessions. A follow-up will take place at 6-months post baseline.

The purpose of this study is to examine the effects of noninvasive prefrontal cortex (PFC) neurofeedback during eating in women with bulimia nervosa (BN) using wearable brain imaging, functional near-infrared spectroscopy (fNIRS), together with a brain-based 4-week text-messaging intervention. The investigators will examine how these interventions may influence inhibitory control and eating disorder symptoms in women with bulimia nervosa.

Social processing and cognition are often altered in patients with eating disorders. The goal of this clinical trial is to assess two different social therapeutic interventions -- one educational, one interactive -- for their effectiveness in improving clinical outcomes in patients with eating disorders. Patients in both interventions will receive education about social function in eating disorders, but those in the interactive treatment group will complete an additional collaborative art task. Participants will: * attend a baseline study visit to complete clinical interviews, cognitive testing, and behavioral tasks * complete a pre-intervention assessment with questionnaires * attend eight sessions of their assigned treatment group over the course of 12 weeks * complete three virtual follow-up assessments 4, 8, and 12 months from their baseline * attend a final study visit to repeat some clinical interviews, cognitive testing, and behavioral tasks Researchers will compare changes in eating disorder, mood, and anxiety symptoms as well as test results from baseline and final study visits for each group to see if * patients can be treated effectively with education alone or if an interactive group component produces additional benefits * cognitive and behavioral task performance are associated with recovery or illness state.

The purpose of this study is to investigate areas of the brain responsible for avoidance learning in adults with eating disorders using brain imaging techniques, computer tasks, and self-report questionnaires and interviews. The investigators will study changes in brain activity using a procedure called functional magnetic resonance imaging (fMRI). This study will include 78 women with an eating disorder (26 with anorexia nervosa \[AN\], 26 with bulimia nervosa \[BN\]) and 26 healthy controls (HC) aged 18-39. Aim 1: Evaluate behavioral differences in active and passive avoidance learning in eating disorders and associations with symptoms. Aim 2: Evaluate whether corticostriatal and limbic-prefrontal fMRI BOLD response associated with avoidance learning differs in eating disorders relative to healthy controls and relates to symptoms. Aim 3: Evaluate whether functional connectivity of avoidance learning neural circuity differs in eating disorders relative to healthy controls.

The purpose of this study is to investigate areas of the brain responsible for 'liking', 'wanting', and learning in adults with eating disorders using brain imaging techniques, computer tasks, a test meal, and self-report questionnaires and interviews. The investigators will study changes in brain activity using a procedure called functional magnetic resonance imaging (fMRI). This study will include 252 women with an eating disorder (63 AN-restricting type (AN-R), 63 AN-binge eating/purging type (AN-BP), 63 bulimia nervosa (BN)) and 63 healthy controls (HC) aged 18-39. Aim 1: To examine neural differences in 'liking' and 'wanting' in ED relative to HC. Aim 2: To examine differences in instrumental learning for reward and punishment in ED relative to HC. Aim 3: To examine how 'liking' and 'wanting' drive instrumental learning in ED and predict clinical symptoms at baseline and 1 year later. Exploratory Aim: To explore the associations of dopamine function, as measured by neuromelanin MRI (NM-MRI), with ED diagnosis and brain response to 'liking', 'wanting', and learning.

The goal of this cross - sectional observational study is to improve understanding of the psychological and cognitive characteristics of Feeding and Eating Disorders (FEDs), a group of conditions that represent a growing public health concern due to their significant impact on physical health, emotional well-being, and everyday functioning. Within this broader diagnostic category, particular attention is given to Avoidant/Restrictive Food Intake Disorder (ARFID), a diagnosis introduced in the DSM-5 and still relatively underexplored compared to other feeding and eating disorders. Despite its clinical relevance, ARFID remains less well understood in terms of its underlying cognitive and psychological mechanisms. Individuals with ARFID often experience severe food avoidance or restriction that is not driven by weight or shape concerns, but rather by sensory sensitivities, fear of negative consequences of eating, or a lack of interest in food. For this reason, investigating ARFID can offer important insights into the diversity of mechanisms involved in feeding and eating disorders as a whole. The study has two main objectives. The first objective is to examine the cognitive profile of individuals with ARFID, with a specific focus on autistic traits and cognitive flexibility, as previous research suggests potential overlaps between ARFID and neurodevelopmental conditions such as Autism Spectrum Disorders. Cognitive flexibility refers to the ability to adapt thoughts and behaviors in response to changing situations, and reduced flexibility may contribute to rigid eating patterns and food avoidance. The second objective is to explore the role of body representation (how individuals perceive and mentally represent their own body) and inhibitory control (the ability to regulate or suppress automatic responses) in shaping the cognitive and behavioral features of ARFID and other feeding and eating disorders. These processes may help distinguish ARFID from other diagnoses and clarify shared and disorder-specific mechanisms across the FED spectrum. The study involves adult participants of all genders, including individuals diagnosed with ARFID, anorexia nervosa, and bulimia nervosa, as well as healthy control participants without a history of feeding or eating disorders. This design allows meaningful comparisons between different diagnostic groups and with the general population. The main questions the study aims to answer are: Do individuals with ARFID show a distinct cognitive profile, particularly in terms of autistic traits and cognitive flexibility, compared to individuals with other feeding and eating disorders and healthy controls? How do body representation and inhibitory control contribute to differences in eating-related behaviors across feeding and eating disorders? Are there differences in brain activity associated with implicit, automatic attitudes toward food in individuals with feeding and eating disorders compared to healthy individuals? Where comparison groups are included, researchers will compare participants with ARFID, anorexia nervosa, bulimia nervosa, and healthy controls to examine differences in cognitive functioning, psychological characteristics, and neural responses related to food processing. Participants will be asked to take part in a series of non-invasive and well-established research activities, designed to be accessible and safe. These include: Completing self-report questionnaires assessing autistic traits, body image perception, and general psychological well-being; Performing computer-based tasks that assess cognitive flexibility and decision-making; Completing behavioral tasks designed to measure inhibitory control and automatic associations with food-related stimuli;

The goal of this study is to develop and refine an artificial intelligence (AI)-powered Exposure Therapy for Eating Disorders chatbot web-app that effectively engages adolescents and young adults and decreases anxiety about weight gain. Participants will use the web-app as a supplemental therapeutic tool during their first six weeks of treatment in a Partial Hospitalization Program. Participants will complete assessments every two weeks, including: (1) semi-structured interviews about their experience with the chatbot web-app; (2) implementation outcome measures (e.g., feasibility, usability, acceptability); and (3) anxiety about weight gain.

An impaired ability to exert control has been implicated in bulimia nervosa (BN), but this impairment may not represent a stable trait or be the most effective focus for treatment. This project aims to understand how predictions and value-based decisions about control may be abnormally influenced by eating in individuals with BN, thereby maintaining cycles of binge eating, purging, and restriction.

The purpose of this study is to examine the effects of noninvasive prefrontal cortex (PFC) neurofeedback during eating in women with bulimia nervosa (BN) using a wearable brain imaging device, functional near-infrared spectroscopy (fNIRS). The investigators will examine how this training may influence inhibitory control and BN symptoms.

The unhide® Project is a non-interventional, longitudinal research study designed to establish a secure data repository of demographic, health, and lifestyle information from individuals with brain inflammation and related neuroinflammatory conditions. Participants in the United States aged 2 years and older will provide self-reported health data, biometrics, and symptom diaries through the MyDataHelps™ app (branded as unhide® for this study). The goal is to create comprehensive longitudinal profiles to facilitate research into disease subtypes, causes, diagnostics, and potential treatments, as well as to identify potential participants for future optional studies. "Healthy" individuals without brain inflammation are also eligible to participate. The digital health research platform used in this study was originally developed and designed by Solve M.E and was called SolveTogether. The Brain Inflammation Collaborative (BIC) expanded upon Solve M.E.'s work to include related diagnoses, pediatric participants, enhance symptom tracking, and more. BIC and Solve M.E. combined Solve Together and unhide®, to create The unhide® Solve Together Unified Platform in 2025.

The purpose of this investigation is to identify the potentially crucial role of anticipatory reward mechanisms maintaining bulimic behavior (i.e., binge eating and purging) in bulimia nervosa (BN). The research will investigate neural and psychological anticipatory processes in BN, both in the scanner and the natural environment.

The aim of this project is to test the feasibility, acceptability and clinical impact of a mobile app-based intervention (FoodTraining) to strengthen food-related inhibitory control over 4 weeks, in a sample of people with eating or weight disorders (i.e. obesity, binge-eating disorder (BED), or bulimia nervosa (BN)) receiving standard outpatient treatment (i.e., treatment as usual (TAU) encompassing guided self-help or psychotherapy, pharmacological therapy or diet). The training will be offered in addition to TAU (experimental group) and compared to TAU alone (control group). Participants will complete questionnaires to measure eating behaviour, eating disorder psychopathology, symptoms of anxiety, depression and stress, social functioning and quality of life at baseline, 4 and 8 weeks. They will also complete momentary assessments using a mobile application (FoodTracker) to report on food intake along with related thoughts, emotions, and behaviours and will wear small, non-invasive sensors to track real-time fluctuations in glucose levels for 15 days. Participants will also perform a food-related go-no go task and a food-related temporal discounting task at baseline, 4 and 8 weeks. Finally, this study will pilot the use of a semi-structured interview to characterise the history of weight, the appetite system, eating-related habits in the family and learning of eating behaviours and attitudes in people with eating or weight disorders.

The SAFE (i.e., Sleep and Activity For Eating disorders) study aims to investigate the characteristics of sleep, daytime activity, and circadian rhythms in a sample of patients with eating disorders-specifically anorexia nervosa, bulimia nervosa, and binge-eating disorder-as well as the relationship between these variables and physiological parameters (i.e., body mass index, hormone levels, blood chemistry parameters) and psychological parameters (i.e., levels of depression and anxiety, body image, eating-disorder symptoms).

Mental conditions and disorders (e.g. distress, depressive, anxiety, and eating disorders) are more prevalent in people with diabetes (PWD) and associated with reduced quality of life and impaired glycaemic outcomes. Evidence supports a complex network between psychosocial factors and glycaemic control that can be highly variable between persons. It is assumed that subgroups exist that show different trajectories of glycaemia and mental health. Belonging to a particular subgroup may be linked with a higher risk of developing mental health problems compared to others. This suggests that it is possible to treat individuals in different subgroups in a manner that optimizes their treatment and can improve health outcomes. Accurate characterisation can inform more individualized care. This calls for a more personalised approach considering the idiosyncrasies of different subgroups. Over 3 years, the investigators have established the basis of a precision mental health approach for diabetes using n-of-1 analyses. By utilizing combined ecological momentary assessment (EMA: repeated daily sampling of psychosocial factors in everyday life) and continuous glucose monitoring (CGM), intensive longitudinal data per person could be collected. This enables the analysis of individual associations between glycaemic parameters and psychosocial variables and identification of individual sources of diabetes distress in each person. The objective of the present study is to use of the n-of-1 approach to identify subgroups of PWD who share common characteristics in the associations between glucose and psychosocial variables. The identified subgroups shall be used to develop a digital twin for precision mental health in diabetes. The digital twin serves as representation of a real person, allowing to make simulations and predictions of the course of mental health and glycaemia. These predictions can inform diabetes care and lead to more precise, personalised treatment decisions. To achieve this, a longitudinal panel including over 1,400 PWD who continuously complete EMA and questionnaire surveys and measure glucose levels using CGM was developed. Over 1000 clinical interviews to diagnose mental disorders have been conducted to identify major mental health conditions and map mental outcomes. To identify subgroups and develop the digital twin, the sampling will be expanded aiming at a total of 1,809 PWD. Incidence and remission of mental disorders will be determined via repeated interviews. The complex networks between clinical, metabolic, and psychosocial data will be analysed using machine learning, leading to new insights with the potential to shape future guidelines. These results will be used by the digital twin to predict courses of glycaemic control and mental health, translating the individual evidence into direct treatment suggestions.

Using a randomized, placebo-controlled, crossover study, this study will evaluate functional magnetic resonance imaging (fMRI) as a pharmacodynamic biomarker of opioid antagonism in adolescents with eating disorders. The hypothesis is that fMRI will be able to detect acute reward pathway modulation by naltrexone (an opioid antagonist) in pre-defined regions of interest (anterior cingulate cortex, nucleus accumbens, dorsolateral prefrontal cortex).

When untreated, eating disorders present with tremendous burdens to affected active duty Service members and Veterans and their families, and are very costly to the DoD and VA healthcare system. A comparative effectiveness study with state-of-the-art virtual treatment for BN and BED specifically adapted for testing with the Veteran population and other underrepresented eating disorder populations will lead to major improvements in clinical outcomes. The treatment will be integrated with VA's newest telehealth technology to profoundly enhance access to care anywhere, at any time. This trial of therapist-led and self-help CBT treatments, combined with our expert panel methods to inform VA Clinical Practice Guidelines for Eating Disorders and plans for dissemination, will accelerate the pace for the transition of results both for large-scale deployment in the VA system and for real-world impact among diverse and underrepresented eating disorder populations.

This prospective observational study investigates the development of gastrointestinal (GI) symptoms in patients with anorexia nervosa (AN) and bulimia nervosa (BN) during multi-week inpatient weight rehabilitation. The study explores how the predominant nutritional strategy-flexitarian, vegetarian, or vegan-relates to changes in GI symptoms over the course of treatment. In addition to diet, the study examines how weight gain and other clinical, psychological, and demographic factors influence the trajectory of GI symptoms. Patients complete weekly questionnaires assessing GI symptoms as part of routine care at the Eating Disorder Center of the Klinik Lüneburger Heide, Germany. Further data are drawn from standard clinical assessments, including body weight, body composition, and psychometric instruments. The primary outcome is the change in GI symptom severity (measured via the GSRS score) from admission to discharge, analyzed in relation to dietary pattern and weight development. Secondary analyses will explore symptom progression over time, group differences between AN and BN, and predictors of GI symptom improvement, including dietary intake, baseline psychological status, symptom change, weight trajectory, and treatment duration. The outcomes will be analyzed separately for AN and BN. The study aims to recruit approximately 150 patients with AN and 35-40 with BN. Inclusion requires a diagnosis of AN (any subtype) or BN, age over 12 years, clinical stability, and the ability to provide informed consent. The findings aim to inform evidence-based dietary recommendations for individuals with eating disorders who experience significant GI symptoms during nutritional rehabilitation.

This study will investigate the effects of therapeutic ketogenic diet (TKD) on eating behavior including drive to restrict, body dissatisfaction, mood and anxiety in individuals with anorexia nervosa who have been weight normalized (body mass index of 17.5 or greater) but continue to struggle with eating disorder behaviors including a high drive for thinness and body dissatisfaction. The Underweight Anorexia Nervosa (AN) Sub-Study will investigate the effects of TKD on eating behavior including drive to restrict, body dissatisfaction, mood and anxiety in individuals with anorexia nervosa who are currently underweight (body mass index between 16.0 and 17.49) and continue to struggle with eating disorder behaviors including a high drive for thinness and body dissatisfaction. The Bulimia Nervosa Pilot will will investigate the effects of TKD on eating behavior including drive to binge and purge, body dissatisfaction, mood and anxiety in individuals with bulimia nervosa.

Postural control depends on the central integration of vestibular, visual, and somatosensory inputs and the integrity of the neural efferent motor pathway, which continuously provides postural adjustments to environmental and body position changes. It is considered a complex skill and involves the integration of movement strategies necessary for maintaining balance. Decreased postural control can induce instabilities that affect the performance of daily activities and increase the risk of falls. Decreased postural control can be linked to fluctuations in body weight: significant weight gain or loss, in fact, can induce musculoskeletal adaptations , which contribute to postural and motor alterations . In Italy, approximately 3 million people are affected by Feed and Eating Disorders (FED), which include, among others, anorexia nervosa (AN), bulimia nervosa (BN) and uncontrolled eating disorder (UED). There are works in the literature highlighting that both anorexic and obese patients present with impaired postural control and, consequently, reduced balance.

The overarching intention of the Eating Disorder Genetics Initiative 2 (EDGI2) is to increase sample size, diversity, and eating disorder phenotypes. The investigators are enrolling 20,000 new participants with anorexia nervosa (AN), bulimia nervosa (BN), binge-eating disorder (BED), avoidant/restrictive food intake disorder (ARFID), and controls in the US, Mexico, Australia, New Zealand, Sweden, and Denmark. A primary study goal is to enroll at least 30% of participants from underrepresented groups. Participants are asked to complete a series of questionnaires and submit a saliva sample for genotyping. The goal is to better understand eating disorders and how they relate to each other so that better treatments can be developed.

Eating disorders (ED) affect the relationship with food and body image. Virtual reality (VR), combined with artificial intelligence (AI), offers new clinical solutions, overcoming traditional cognitive behavioral therapy (CBT). The ARCADIA VR project aims to develop devices to treat ED through personalized VR systems (e.g. Enhanced Body-Swap for anorexia, Emotional Rescripting for bulimia) and AI predictive algorithms to monitor severity, risk and efficacy of treatments. These approaches promise better and faster results, improving diagnosis and treatment.

The goal of this observational study is to learn if clinical and neurophysiological characteristics dynamics may follow similar trends in a longitudinal characterization of patients with a diagnosis of an eating disorder. The primary hypothesis is that the reversal of Functional Magnetic Resonance Imaging (fMRI) baseline alternations is positively associated with symptomatic amelioration. The secondary hypothesis is that the degree of (f)MRI baseline alternations is positively associated with symptoms. Participants will be asked to complete psychometric questionnaires, perform a fMRI and be recalled at 12 months for a follow-up.

The goal of this observational longitudinal study is to investigate characteristics and factors associated with the development of Severe and Enduring Eating Disorders (SEED). In this project, the researchers will follow two prospective cohorts of patients with eating disorders (ED), one adolescent (ages 14-17) and one adult (ages 18+), in terms of change in and impact of clinical, psychological, and biological risk factors. Data will be collected at baseline, after treatment, two years after baseline, and thereafter five, 10 and 20 years after baseline. Participants will be asked to undergo a physical examination, leave blood samples, be interviewed, and fill in questionnaires. If the participants are minors, their care takers will also fill in the questionnaires. The study aims to explore how clinical, psychological, and biological risk factors-including comorbidity, personality characteristics, difficulties with emotion regulation (ER), cognitive inflexibility, loneliness, severe ED symptoms, and inflammatory activation-contribute to a chronic course of the disorder.

The main aim of this study is to identify biological and psychological characteristics as risk factors in individuals with severe and enduring eating disorders (SEED). Specifically, the investigators aim to: 1. in a cohort of well-diagnosed eating disorder patients from 2005 followed up in National health registers, explore risk factors at baseline (recorded 2005-2007) for development of later SEED (the registry based cohort). 2. replicate the findings in a new sample of 50 adults with ongoing SEED. Participants will be assessed diagnostically and physically, and asked to fill out questionnaires and leave blood samples (the ongoing SEED sample compared with the register based cohort). 3. in a sample of 50 adults with SEED, explore demographic, biological, clinical, and psychological factors and examine the relation between these factors and symptom severity and functional impairment (the ongoing SEED sample). 4. explore participants perspectives on their symptoms and received care (the ongoing SEED sample).