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The objective of the Pediatric Epidemiological Data and Incidence (PEDI) PANDAS study is to demonstrate the feasibility of enrollment and retention of subjects in a study to determine the incidence and natural history of children with Pediatric Acute-Onset Neuropsychiatric Syndrome (PANS) with regard to spectrum, course and outcome. The investigators aim to demonstrate they can recruit and retain 85% of children who are eligible for this study. Eligible children are those who fit criteria for PANS and Pediatric Autoimmune Neuropsychiatric Disorder Associated with Streptococcus (PANDAS). Each child will be followed for one year.
Background: \- Many psychiatric, behavioral, and developmental disorders are genetic. This means that they tend to run in families. Some begin in childhood, while others do not appear until adulthood. Researchers want to look at people of all ages who have these disorders that started in childhood. They will also look at relatives of people with these disorders. This information will allow doctors to learn more about childhood behavioral problems and how they are inherited. It may also help doctors treat those disorders. Objectives: \- To study the onset and treatment of childhood behavioral, psychiatric, and developmental disorders. Eligibility: * Individuals of any age who have a psychiatric, autism spectrum, or developmental disorder, or other behavioral problems. * Family members of individuals with the above disorders. This group may include parents, grandparents, siblings, aunts/uncles, cousins, and children. Design: \- Participants will be screened with a medical history and physical exam. They may have a psychiatric history with tests of thinking, judgment, and behavior. Brain imaging scans may be performed to look at brain function....
The purpose of this study is to systematically evaluate the results of medical investigations to identify symptom and biological patterns and common etiologies of neurodevelopmental disorders.
Background: During the first few decades of life, the brain changes dramatically in shape and function. Sleep lets researchers measure these changes. Researchers want to create a database of sleep and neurodevelopmental data in a group of infants and children to learn more. Objective: To address a knowledge and data gap in the field of sleep and neurodevelopment in infants and children. Eligibility: Children ages 6 months to 76 months who may or may not be at risk for neurodevelopmental and neuropsychiatric disorders. Also, children ages 6 months to 8 years who have a referral for a sleep study. Design: Participants will have neurodevelopmental testing. They will have a medical, psychiatric, and family history. They will have a physical and neurological exam. They will be interviewed and complete surveys. They will give a cheek swab and/or blood sample. Some participants will have 1 study visit that lasts 2 days. Other participants will have up to 4 study visits. Each visit will last 2 days. Visits occur every 8 months to 1 year, for a total participation time of 2 years. Participants will have a 20-minute daytime electroencephalogram (EEG), if possible. This EEG session will be used to calibrate the machine for the overnight study. Participants will take part in an inpatient overnight sleep study. Electrodes will be placed on the participants. For young children, parents will help place the EEG leads. Other sensors may also be placed. A gauze cap will be placed on participants head to protect the leads and keep the participants from moving them. 'Lights out' will occur as close to participants bedtime as possible.
This study is an investigation of the neurologic, immunologic, and rheumatologic markers of Pediatric Acute-Onset Neuropsychiatric Syndrome (PANS). PANS is a condition characterized by the abrupt, dramatic onset of obsessive compulsive disorder (OCD) and/or eating restriction accompanied by equally abrupt and severe co-morbid neuropsychiatric symptoms, which include anxiety, emotional lability, depression, irritability, aggression, oppositionality, deterioration in school performance, behavioral (developmental) regression, sensory amplification, movement abnormalities, sleep disturbance, and urinary frequency. PANS is thought to be caused by infection, inflammation, or alternate triggers that is associated with a brain response that leads to these symptoms. The purpose of this study is to examine specific neurologic, immunologic, rheumatologic, and genomic, components in children with the acute-onset of psychiatric symptoms. This research may begin to uncover a much larger story of autoimmune processes that are involved in psychiatric disorders of childhood. By better understanding the etiologic components of psychiatric phenomenon, future treatments may be better targeted to underlying causes.
In this program, the investigators will develop novel multimodal neural-behavioral-physiological monitoring tools (software and hardware), and machine learning models for mental states within social processes and beyond. The tools consist of a multimodal skin-like wearable sensor for physiological and biochemical sensing; a conversational virtual human platform to evoke naturalistic social processes; audiovisual affect recognition software; synchronization tools; and machine learning methods to model the multimodal data. The investigators will demonstrate the tools in healthy subjects without neural recordings and in patients with drug-resistant epilepsy who already have intracranial EEG (iEEG) electrodes implanted based on clinical criteria for standard monitoring to localize seizures, which is unrelated to our study.
Neuropsychiatric disorders are a leading cause of disability worldwide with depressive disorders being one of the most disabling among them. Also, millions of patients do not respond to current medications or psychotherapy, which makes it critical to find an alternative therapy. Applying electrical stimulation at various brain targets has shown promise but there is a critical need to improve efficacy. Given inter- and intra-subject variabilities in neuropsychiatric disorders, this study aims to enable personalizing the stimulation therapy via i) tracking a patient's own symptoms based on their neural activity, and ii) a model of how their neural activity responds to stimulation therapy. The study will develop the modeling elements needed to realize a model-based personalized system for electrical brain stimulation to achieve this aim. The study will provide proof-of-concept demonstration in epilepsy patients who already have intracranial electroencephalography (iEEG) electrodes implanted for their standard clinical monitoring unrelated to this study, and who consent to being part of the study.