Pathological out-of-control behavior is the core clinical symptom of Bulimia nervosa (BN). The study of its neural circuits and biological mechanism is very important to explore new intervention targets. Previous studies have found that the patients with BN have inhibitory control impairment, which may be the basis of uncontrolled binge eating and purging behaviors of BN. The study found that the cognitive decision-making dysfunction of substance addicts may lead to behavior solidification. At present, there is no related research on the cognitive decision-making model of BN. Previous studies of applicants have found that there is an enhancement in goal-oriented decision-making in BN, which may explain the binge eating and purging behaviors aimed at weight control. In addition, BN patients have obvious impulsiveness, and the individuals of BN often feel unable to control eating behavior , and experience obvious sense of out of control. The previous study confirmed that untreated BN patients were highly impulsive and had inhibitory control disorders. Inhibition and control disorder is one of the important pathogenesis of BN. Previous studies indicated that dorsolateral prefrontal cortex (DLPFC) and dorsomedial prefrontal cortex (DMPFC) were associated with aboved symptoms. In this study, the patients with BN were selected as subjects. A randomized, single-blind cohort study was designed to observe the effect of iTBS intervention of DLPFC or DMPFC on pathological out-of-control behavior. Combined with behavioral, neuroimaging and genetic techniques, the investigators focused on the function of the prefrontal lobe-striatum neural circuits dopamine system. By the objective markers of peripheral, brain imaging and behavior of BN, to provide new targets and ideas for the treatment of BN.
Bulimia nervosa(BN) is a chronic and refractory mental disorder characteristic of recurrent binge eating and weight control which mostly occur in adolescents and young women. The life-time prevalence ranges from 1.0%-4.2%, and keep increasing. Pathological out-of-control behavior is the core clinical symptom of BN. Impulsive personality trait is an important risk factor for overeating symptoms in patients with BN. Inhibition control dysfunction leads to increased impulsiveness, while impaired goal-oriented control leads to rigid behavior habits, such as obsessive-compulsive drug-seeking and drug use, resulting in pathological out-of-control behavior. Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive, safe and non-invasive physical intervention and nerve stimulation, which can be targeted at specific brain regions or networks, providing hope for people who do not respond well to drug therapy. iTBS stimulation mode can induce long-term potentiation of behavior and neural activity (LTP). Previous studies indicated that dorsolateral prefrontal cortex (DLPFC) and dorsomedial prefrontal cortex (DMPFC) were associated with out-of-control behavior. In this study, the investigators will recruit 90 BN patients, would randomly divided into 30 DMPFC iTBS intervention group, 30 DLPFC iTBS and 30 sham-stimulation group. 20 iTBS will be given in the intervention group at DMPFC or DLPFC. To assess the eating disorder symptoms, impulsive and emotional change, clinical symptom scales, psychological scales and the behavioral experiments will be used at baseline, 4 weeks, 8 weeks, 12 weeks and16weeks, respectively. Furthermore, brain MRI will be used for BN at baseline. This study is innovative and feasible. If the expected results can be obtained, it will lay a foundation for understanding the common mechanism behind the pathological behavior of BN and provide new directions and ideas for the design of effective intervention measures.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Enrollment
90
The intermittent theta-burst stimulation (iTBS) (i.e. two excitatory intervention paradigm) to target DMFPC can improve out-of-control behavior and decision-making model.
The intermittent theta-burst stimulation (iTBS) to target DLFPC (i.e. region within the executive control network) can effectively reduce craving, which is probably associated with enhancement of executive function.
Shanghai Mental Health Center
Shanghai, Shanghai Municipality, China
RECRUITINGEating Disorder Examination(EDE-Q)
EDE-Q can evaluate the eating disorder behavior and psychology characteristics and assess their frequency and intensity, which can assess the severity of eating disorders. The scores of the subscales are obtained by calculating the average of the items that comprise each subscale, and the global score (EDE-Q 6.0) is the average of scores of the four subscales. The higher is the score, the more severe in the ED-symptoms.
Time frame: Change from Baseline eating attitudes and behaviors at 4 weeks,8weeks,12weeks,16weeks.
Barratt Impulsiveness Scale(BIS-II)
This tool can measure the severity of impulse suppression orientation.The total score for BIS-11 ranges from 30 to 120. The higher is the score, the higher is the impulsiveness.
Time frame: Change from Baseline the severity of impulse suppression orientation at 4 weeks,8weeks,12weeks,16weeks.
Beck Depression Inventory-II (BDI- II)
Depression symptoms were assessed with the BDI-II. The scale has 21-items. The total score for BDI- IIranges from 0 to 84.The higher is the score, the higher is the depression.
Time frame: Change from Baseline the severity of the symptoms of depression at 4 weeks,8weeks,12weeks,16weeks.
Beck Anxiety Inventory (BAI)
BAI is a 21-item self-report scale for assessing the symptom of anxiety. The total score for BAI ranges from 0 to 84. The higher is the score, the higher is the anxiety.
Time frame: Change from Baseline Baseline the severity of the symptoms of anxiety at 4 weeks,8weeks,12weeks,16weeks.
Behavioral experiment(Sequential learning task )
The spaceship task from Decker et al will be used. The task was designed to dissociate model-free and model-based learning strategies. The goal of the participants will to collect "space gems". In the first stage, the participants choose between two spaceships. The probability of each spaceship's transition to two planets is fixed. In the second stage, on each planet, participants need to choose between two aliens to obtain gems. The probability of getting a gem changes slowly at this stage. This changing reward probability encourages participants to explore different options throughout the task to maximize the reward. The behavior data will be modeled, and the hybrid reinforcement learning model will used to obtain the ratio of model-based behavior and model-free behavior in the process of individual learning decision-making.
Time frame: Change from Baseline behaviors at 4 weeks.
Incidence of Adverse Events [Safety and Tolerability] (i.e., seizures, etc.)
The frequency of adverse events from each participant.
Time frame: through study completion, an average within 1 week
Behavioral experiment(Stop-signal task )
The stop-signal task was adjusted using as cues the two foods previously selected after the rating session. Two types of conditions were included, such as low-error condition and high-error condition. Participants performed 240 trials in total: 160 Go trials (80 for the Low-Error condition and 80 for the High-Error condition) and 80 Stop trials (40 for the Low-Error condition and 40 for the High-Error condition). The task lasted approximately 16 minutes. Data analysis will be performed on the accuracy (number of errors) and the RTs of correct responses vs. errors (no-response trials ignored), for the Low- vs. High-Error condition, and for Go vs. Stop trials.
Time frame: Change from Baseline behaviors at 4 weeks.
Behavioral experiment(Delay discounting task )
The delay discounting task for monetary present choices between differing amounts of reward at varing time points (such as 2 days, 7days, 15days, 1 month, 45 days, 3 months, 6 months and 1 year), where one of the options is a smaller amount of reward available soon or immediately, and the other option is a larger amount of reward available after a longer delay. Discount rate will be estimated by fitting the indifference point data to a discounting model.
Time frame: Change from Baseline behaviors at 4 weeks.
MRI
brain activation and structure as assessed by MRI
Time frame: before the intervention
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