View clinical trials related to Neurobehavioral Manifestations.
Filter by:The gut-brain axis plays a crucial role in the regulation and development of psychological and physical processes. The first year of life is a critical period for the development of the gut microbiome, which parallels important milestones in establishing sleep rhythm and neurodevelopment. Growing evidence suggests that the gut microbiome influences sleep, cognition, and early neurodevelopment. For term and preterm-born infants, difficulties in sleep regulation can have major consequences on infants' health, attachment between infants and their caregivers, and can even lead to life-threatening consequences such as shaken-baby syndrome. Preterm born infants are at even higher risk for sleep and neurodevelopmental problems. Although neonatal care has improved over recent decades, preterm birth rates continue to rise and lead to a wide range of neurodevelopmental disabilities that are unaddressed with current therapies. Given the importance of sleep and the gut microbiome for brain maturation, neurodevelopment, and behavior, identifying effective interventions within the gut-brain axis at the beginning of life is likely to have long-term implications for health and development of at-risk infants. The aims of this project are to I) demonstrate the association between the gut microbiome, sleep patterns and health outcomes in children up to two years of age; and II) to leverage gut microbiome-brain-sleep interactions to develop new intervention strategies for at-risk infants. The investigators hypothesize that the establishment of a healthy gut microbiome during early life is crucial for both short- and long-term child health outcomes, as dysbiosis can harm sleep regulation, brain maturation, and neurobehavioral development. The investigators predict that the administration of synbiotics improves microbiota establishment, sleep rhythm, and neurodevelopmental outcomes. This project integrates a randomized controlled trial (RCT), ex vivo, and in silico experiments with I) key technology platforms for computational modeling to capture the ontogenic norms of gut microbiota; II) neuronal and actimetry-based quantification of multidimensional aspects of infant sleep; III) breath metabolomics (exhalomics) of host and microbiome metabolism; and IV) high-throughput ex vivo models for investigating host-microbiome interactions. Outcomes include I) an understanding of age-normative microbiome composition, its variation (circadian, inter-individual), and the factors that influence the microbiome's plasticity throughout infancy; II) actionable knowledge of microbial species and metabolism that can be targeted to modify sleep regulation and improve neurodevelopmental outcomes, especially in at-risk infants (e.g., preterm-born); III) microbial and metabolic biomarkers with diagnostic potential for later regulatory and behavioral problems; and IV) an open-source analytical "toolbox" for microbial multi-omics that can be immediately applied in other areas of microbiome-host research. To achieve these goals, our strategy combines multiple disciplines focusing on factors that exert the greatest influence on health during infancy: the gut microbiome, sleep regulation, and neurodevelopment. The impact of this project is substantial and globally relevant, as it advances possible treatment options for supporting neurodevelopmental health in preterm- and term-born infants, explores novel translational approaches for addressing regulatory difficulties, and provides key information for tailored prophylactic synbiotics and possible development of "post-biotics". Further, the study supports the investigation of biomarkers for neurodevelopment and advances early prevention of developmental and mental illnesses.
Although antipsychotic is effective for schizophrenia, however, still certain proportion of patients were not responsive to treatment. Treatment resistant schizophrenia (TRS) is accompanied by function decline and heavy burden. In recent decades, the biological mechanism of schizophrenia extended from dopamine theory to the role of glutamate system. This shift could be an alternative pathway to developing the treatment of TRS. Sodium benzoate (SB) could be an option as a glutamatergic agent for the patients with TRS. However, most evidence of SB is for treating patients with schizophrenia and other mental disorders but the evidence for treating patients with TRS is scarce. To predict the treatment response of SB will be an urgent topic in the future. Little is known about the precise medicine for treating patients with TRS. The present project will extend our pilot randomized clinical trial on SB for TRS. A total of 90 patients with TRS will be enrolled from three centers and will be assigned to 8 weeks of treatment with SB or placebo (2:1). A comprehensive battery of potential markers will be employed, including 1H- magnetic resonance spectroscopy (MRS), brain functional connectivity, genotyping, immune biomarkers, cognitive function, and clinical characteristics. The efficacy of SB on TRS will be confirmed in this project. Predictors for treatment response will be identified. Artificial intelligence algorithms will be used for probing the feasibility of precision medicine.
The goal of this study is to investigate a new treatment for chronic symptoms after concussion or mild traumatic brain injury in people aged 18-65 years old. Chronic symptoms could include dizziness, headache, fatigue, brain fog, memory difficulty, sleep disruption, irritability, or anxiety that occurred or worsened after the injury. These symptoms can interfere with daily functioning, causing difficulty returning to physical activity, work, or school. Previous concussion therapies have not been personalized nor involved direct treatments to the brain itself. The treatment being tested in the present study is a noninvasive, personalized form of brain stimulation, called transcranial magnetic stimulation (TMS). The investigators intend to answer the questions: 1. Does personalized TMS improve brain connectivity after concussion? 2. Does personalized TMS improve avoidance behaviors and chronic concussive symptoms? 3. Do the improvements last up to 2 months post-treatment? 4. Are there predictors of treatment response, or who might respond the best? Participants will undergo 14 total visits to University of California Los Angeles (UCLA): 1. One for the baseline symptom assessments and magnetic resonance imaging (MRI) 2. Ten for TMS administration 3. Three for post-treatment symptom assessments and MRIs Participants will have a 66% chance of being assigned to an active TMS group and 33% chance of being assigned to a sham, or inactive, TMS group. The difference is that the active TMS is more likely to cause functional changes in the brain than the inactive TMS.
The goal of this study is to explore cognitive burden perceptions among physicians in relation to case report writing. Furthermore, this study evaluates the use of artificial intelligence (AI) assistance as a tool to reduce cognitive burden among providers preparing and submitting case reports. If an AI-tool is helpful in this setting, it may potentially help increase reporting of rare medical events and thereby improve the evidence base for care of these patient populations. This study will occur at a single time point which is expected to last approximately 2 hours. This session will include reviewing two rare tumor cases and then writing a clinical vignette with and without AI assistance.
Parkinson's disease is the second most common neurodegenerative disease after Alzheimer's disease. It is mostly characterized by the presence of motor difficulties. However, it can also be accompanied by cognitive disorders which have an equally significant impact on the quality of life of patients and which are not relieved by any treatment. Among the functions affected by Parkinson's disease, inhibition is an essential process for adapting our behaviors in daily life. Inhibition allows us to stop an action that is no longer required or appropriate to the situation in which we find ourselves in. For example, it comes into play when we have to stop at a "stop" sign while driving. Recent studies suggest that it could be possible to improve the functioning of these processes by using non-invasive brain stimulation tools. Transcranial alternating current electrical stimulation has thus showed promising results in improving functions such as working memory. This technique is completely painless and non-invasive and consists in applying an electric current of very low intensity (barely perceptible) at the level of the scalp, using electrodes. The investigators are conducting a study to test whether transcranial alternating current electrical stimulation could improve the functioning of the inhibition process which is altered in patients. For this, the investigators will measure this process using a task performed on a computer (the Stop Signal Reaction Time Task), as well as brain activity using a method called "electroencephalography", before and after stimulation. For this study, the investigators will include 50 patients and 40 healthy participants to investigate the effect of the stimulation on inhibition.
This study will investigate the effects of aerobic exercise on mental states, cognition, BDNF, and long-term outcomes in patients with bipolar disorder.