Rumination

The aim of this trial is to evaluate the feasibility and preliminary efficacy of using passive smartphone sensors to detect moments of heightened negative mood and inform the timing of brief mental health interventions, such as mindfulness exercises and psychoeducation, in adults with early psychosis.

A growing body of research implicates rumination as being a transdiagnostic risk factor involved in the development of depression and anxiety in youth. Critically, mindfulness meditation has shown significant promise in targeting rumination, and ultimately improving depressive and anxiety symptoms. Mindfulness apps offer a convenient and cost-effective means for accessing mindfulness training, while being interactive and engaging for youth. Despite their growing popularity among teens, strikingly little research has been conducted on these apps. Two critical questions have yet to be addressed: (1) what are the underlying neural and cognitive mechanisms that account for the beneficial effects of these apps and (2) for whom is app-based mindfulness well-suited. To address these gaps, adolescents (ages 13-18) will be randomly assigned to an app-delivered mindfulness course vs. a control condition and will complete pre- and post-intervention resting state functional magnetic resonance imaging (fMRI) scans to probe static and dynamic functional connectivity within - and between - brain networks strongly implicated in mindfulness training and rumination. In addition, cognitive tasks will be administered at pre- and post-intervention to assess attentional control abilities putatively enhanced by mindfulness training. Finally, mindfulness skills and changes in rumination will be assessed via smartphone-based ecological momentary assessment (EMA). First, the investigators will test whether changes in (1) brain functional connectivity, (2) attentional control and (3) acquisition and use of mindfulness skills mediate between-group (i.e., app vs. control) differences in the reduction of rumination. Second, the investigators will test whether a machine learning model incorporating baseline clinical, demographic, and psychosocial characteristics can be used to identify which adolescents are predicted to benefit from app-based mindfulness training.

The goal of this clinical trial is to learn if a self-help reading program, called metacognitive bibliotherapy, can reduce anxiety and depression in university students studying medicine and health sciences. It will also examine whether the program changes unhelpful thinking patterns about worry and rumination. The main questions it aims to answer are: Does metacognitive bibliotherapy lower anxiety and depression symptoms in university students? Does it reduce unhelpful thinking patterns, such as excessive worry and rumination? Researchers will compare two different self-help books with a waiting list group to see if reading these books helps reduce anxiety and depression. Participants will: * Be randomly assigned to one of three groups: read The Art of Letting Go - How to Stop Rumination, read Anchored: How to Befriend Your Nervous System Using Polyvagal Theory, or join a waiting list * Read the assigned book at their own pace over 8 weeks * Complete online questionnaires at the start of the study, after 4 weeks, and after 8 weeks * Participants in the waiting list group will receive both books for free after the 8-week study period ends

The aim of the study is to examine the effect of imagery rescripting (ImRs) in the context of utilizing large language models (LLMs). Intervention will involve the prior presentation of the most aversive fragment of the memory, the so-called 'hotspot.' This intervention will allow for the replication of the effect described by Dibbets and Arntz (2016), according to which the prior activation of the most emotional element of a memory enhances the effectiveness of ImRs. The study is also significant due to another ongoing study in which a substantial number of participants have already been examined; however, due to the exhaustion of funds, it was not possible to utilize the remainder of the recruited sample. Investigating an additional condition will allow for a more complete utilization of the available participant pool and significantly increase the project's scientific value by comparing the traditional ImRs mechanism with its AI-generated version.

In the United States, adolescents experience alarmingly high rates of major depression, and gold-standard treatments are only effective for approximately half of patients. Rumination may be a promising treatment target, as it is well-characterized at the neural level and contributes to depression onset, maintenance, and recurrence as well as predicts treatment non-response. Accordingly, the proposed research will investigate whether an innovative mindfulness-based real-time functional magnetic resonance imaging (fMRI) neurofeedback intervention successfully elicits change in the brain circuit underlying rumination to improve clinical outcomes among depressed adolescents.

This study is an open trial designed to examine individual changes that occur before, during, and after 6 modules of Emotion Regulation Therapy (ERT) delivered via telehealth for individuals in New York State who are experiencing elevated worry, rumination, or self-criticism.

The aim of this randomized controlled trial (RCT) is to investigate the effectiveness of a culturally adapted internet-based cognitive behavioral therapy (i-CBT) intervention in reducing symptoms of common mental health issues among Farsi/Dari-speaking youth migrants and refugees. Investigator hypothesizes that there will be a significant decrease in psychological symptoms after participants receive the intervention compared to a control group.

To better define the presence of Barrett's esophagus (BE) via non-endoscopic testing in an eating disorder cohort with purging (vomiting/rumination) behaviors

The goal of this study is to determine whether an open-loop sham neurofeedback system can effectively modulate EEG alpha rhythms, which are associated with attentional control. The main questions it aims to answer are: Does positive sham neurofeedback lead to a decrease in relative EEG alpha power compared to a control condition without feedback? Researchers will compare the effects of positive and negative sham-neurofeedback conditions to a control condition without feedback to assess the system's impact on alpha rhythm modulation. Participants will: Experience three conditions (positive sham-neurofeedback, negative sham-neurofeedback, and no feedback) within a virtual reality environment. Undergo EEG recordings to measure changes in alpha power as a marker of attentional resource allocation. Provide written informed consent and complete the study following ethical guidelines. This study seeks to explore the potential of open-loop feedback systems to enhance attentional control by modulating alpha rhythm.

This pilot randomized controlled trial will investigate the feasibility and effectiveness of using generative artificial intelligence to create personalized therapeutic scripts for imagery rescripting (ImRs). Eighty participants will listen to autobiographical scenarios based on their own memories of childhood criticism and neutral events. The scenarios will be generated by the Gemini large language model and reviewed by trained experimenters. On Day 1, all participants will be exposed to both critical and neutral scenarios and randomly assigned to either an experimental group receiving an ImRs intervention or a control group receiving no therapeutic modification. Skin conductance and subjective emotional ratings will be collected during the session, with follow-up questionnaires administered one week later. In addition, cognitive-behavioral therapists will evaluate the quality of the generated scripts. The study aims to assess emotional and physiological responses to AI-generated content, compare outcomes between groups, and explore the potential of large language models in scalable psychological interventions.

This study aimed to investigate the effect of psychoeducation on rumination and cognitive flexibility in elderly individuals residing in nursing homes. Cognitive Behavioral Therapy (CBT)-based psychoeducation has recently been applied to multiple specific groups around the world and in our country. In general, executive functioning skills and, more specifically, cognitive flexibility appear to be important for the ability to use certain CBT techniques; however, considering that these skills naturally decline with age, further research is needed. It is anticipated that the results of this study will contribute to applications in the field of psychiatric nursing.

The research study is being conducted to study brain patterns of negative emotion and develop personalized brain stimulation protocols to disrupt these patterns with transcranial magnetic stimulation (TMS). First, the investigators will use functional Magnetic Resonance Imaging (fMRI) data to generate a negative affect map for each participant. Then, the investigators will apply a variety of repetitive transcranial magnetic stimulation (rTMS) sequences while the participant is inside the MRI scanner to determine the optimal and least optimal rTMS frequencies at changing negative affect brain states. Finally, these two frequencies will be tested over two 3-day rTMS neuromodulation sessions to assess whether they can reduce negative emotions.

The goal of this trial is to examine whether a mobile app intervention for rumination can modify a maladaptive feature of repetitive negative thinking (RNT) - this is understood by the link between daily RNT and well-being, depressive and anxiety symptoms. The main questions it aims to answer are: 1. If the intervention can modify the maladaptive feature of repetitive negative thinking - the investigators anticipate the link between daily rumination and maladaptive outcomes (poorer wellbeing, higher depressive/anxious symptoms) will be weaker in the intervention groups. 2. By examining (1) above, to confirm the role played by avoidance in repetitive negative thinking. 3. By splitting the intervention condition into two groups (one receiving concurrent support from a therapist, one not), to evaluate if interventions such as these might be enhanced by therapist support. 4. To examine if the impact of the intervention on depressive and anxious symptoms might be mediated by changes in beliefs regarding emotions (e.g. the valuation of negative emotions). Researchers will compare across four groups to examine the above effects: (1) intervention condition (therapist support); (2) intervention condition (no therapist support); (3) Partial intervention (daily sampling and emotion valuation questions); (4) Control group (only daily sampling questions). Participants will: * Be requested to participate in a four-week intervention, providing daily assessments of depressive and anxiety symptoms, affect, repetitive negative thinking, and rumination outcomes. * Use a mobile application during the intervention period, which has been designed by the research team (intervention groups), or provide daily assessment scores only (control groups). * Be assessed at pre-intervention (all groups), post-intervention (all groups), 1-month follow-up (all groups), and 3-month follow-up (intervention groups only).