View clinical trials related to Emotions.
Filter by:The purpose of this research study is to find out how two different online stress reduction training programs affect people's daily experiences and social relations. The researchers think that people's thoughts, emotions, and behavior toward others may be influenced by stress reduction programs. This study will allow them to study the effectiveness of stress reduction programs for important real-world psychological outcomes.
Background: Negative emotional states can affect a person s behavior as they make decisions. For example, hunger may make people more impatient; they may then make riskier choices. Other negative emotional states that can change behavior include stress, pain, and sadness. By learning more about how emotions affect thinking and behavior in healthy people, researchers hope to better understand how to identify and treat people with mental disorders. Objective: To learn how negative emotions affect the brain and decision-making behavior. Eligibility: Healthy people aged 18 to 55 years. Design: Participants will have 3 clinic visits in 3 weeks. Participants will fill out questionnaires. They will be asked about their personal history, their personality, and state of mind. For 2 visits, participants will be assigned to different groups. Each group will experience 3 type of emotional stressor: Some participants will watch a video. Some will have to do arithmetic problems. Some will have heat applied to an arm or leg. Some will experience cold by immersing their hand in ice water. For a snack craving test, some will be tempted by food after a 4-hour fast. During these tests, participants will have sensors attached to their bodies. They will be videotaped. Saliva samples will be collected. After the stressors, participants will do tasks on a computer. They will need to make choices. Some participants will perform these decision-making tasks while lying in a brain scanner for functional magnetic resonance imaging. The brain scan involves lying on a table that slides into a cylinder that takes images of the brain.
Assess the impact of a remote, app-delivered digital meditation intervention on emotional well-being of lonely older adults. Neuroimaging and autonomic physiology will be used to assess the neural correlates of the intervention.
This monocentric physiological study will evaluate the neural bases of visual recognition of emotions in stroke patients vs. healthy controls using MRI (functional and structural connectivity) and EEG.
This study tests the impact of mindfulness vs. relaxation training on psychological threat and challenge, emotions/emotion regulation, motivation/engagement, and performance among undergraduates enrolled in introductory physics courses. Data used to compare groups will be collected from a variety of sources, including self-report surveys, experience sampling and daily diary assessments, physics learning activities, and academic records.
Rationale: Synthetic glucocorticoids can result in neuropsychiatric adverse effects in a minority of patients. Although, not all patients experience severe adverse effects, more subtle emotional disturbances are often experienced. With a variation on ecological momentary assessment (EMA), with a daily assessment, the investigators will collect the patient's emotional symptoms in real time and in the patients natural environment during corticosteroid treatment. With dynamic time warping (DTW) analysis the investigators aim to analyse the temporal dynamics of different emotional states and visualize these emotional dynamics over time. The patient dermatologist and neurologist will receive the idiographic results as a feedback form, which may give insights into temporal (and possibly causal) central emotions, which may help to overcome mood disturbances. Objective: Mapping emotional dynamics with DTW analysis in 6 mycosis fungoides or Sezary syndrome patients and 6 chronic cluster headache patients treated with systemic corticosteroids. Study design: Case series report study. Study population: Six patients with cutaneous T-cell lymphoma (type mycosis fungoides and/or Sezary syndrome), and six patients with cluster headache. Main study parameters/endpoints: An idiographic DTW analysis of emotional dynamics during and after corticosteroid treatment in six mycosis fungoides and/or Sezary syndrome patients, and six chronic cluster headache patients. Nature and extent of the burden and risks associated with participation, benefit and group relatedness: There are no additional risks associated with study participation. The patients who will participate in this case series study need to complete a 5-minute survey daily using a m-Path smartphone app during corticosteroid treatment. The data analysis may increase the insight into centrality measures of emotions and the emotional clusters for the individual patient.
A sample of 101 individuals will be used for this purpose, where each of them will be exposed to 145 different stimuli. Comparison of their physiological responses to stimuli (cerebral blood flow, electrical activity of the brain, heart rate variability, and skin conductance response) and the perception of the stimuli measured by the questionnaire and CA method will make it possible to identify the method that provides more accurate information on the real perception of the stimuli. These findings may have important consequences for the use of the questionnaire and the CA method to measure different psychological concepts.
This study will be conducted to investigate the effect of Emotional Freedom Technique (EFT) Application on infertility stress in women undergoing infertility treatment.
The overall goal of this study is to elucidate how emotion network dynamics relate to the behavioral, autonomic, and experiential changes that accompany emotions and to investigate how emotion network dysfunction relates to affective symptoms. Affective symptoms are a common feature of neuropsychiatric disorders that reflect dysfunction in a distributed brain network that supports emotion. How aberrant functioning in a single emotion network underlies a wide range of affective symptoms, such as depression and anxiety, is not well understood. Anchored by the anterior cingulate cortex and ventral anterior insula, the emotion network responds to numerous affective stimuli. The recording of neural activity directly from the cortical surface from individuals is a promising approach since intracranial electroencephalography (iEEG) can provide direct estimates of neuronal populations to map the spatiotemporal dynamics of the emotion network at a millisecond level resolution. This study will exam how activity within emotion network hubs changes during emotions and how emotion network properties make some individuals more vulnerable to affective symptoms than others. A multidisciplinary approach is critical for understanding the dynamic brain network to advance neuroanatomical models of emotions and for guiding the development of novel treatments for affective symptoms.
The research goal is to find a correlation between patient personality characteristics, patients' mood and glycemic control. Eventually, using this information may allow treating physicians the ability to better balance glucose blood levels in patients with T1DM, by recognizing influencing psychological parameters. The conclusion from this research will add to other physiological parameters that are being studied today, and in the future will be integrated into an artificial pancreas. The investigators believe that there is a correlation that hasn't been studied in the past between personality characteristics, daily emotions and the ability to balance glucose blood levels in patients with T1DM.