Active clinical trials for "Autism Spectrum Disorder"

Frailty is a age dependent physiological state of vulnerability. Frailty is screened by the phenotypic model (5 clinical criteria) or the cumulative model (various clinical and biological criteria). Currently, aging with autism spectrum disorder and mental retardation (ADS-MR) is poor described. Nevertheless many data indicate that people with ADS-MR may present an early aging. Principal aim of this study is to determine if frailty in people with ADS-MR aged over 20 years depend on age. Secondary aims are to evaluate frailty prevalence, to describe with details health according to age, and to verify the frailty index validity for predicting falls, hospitalisation and death, in this population of ADS-MR patients aged over 20 years. This monocentric and prospective study will include 60 ADS-MR patients aged over 20 years and living in Languedoc-Roussillon's medico-social care homes. Patients are evaluated at the time of inclusion. Frailty index is calculated from 104 clinical and biological criteria. Furthermore the investigator staff collect data about ADS severity (CARS), adaptative and intellectual functionning (Vineland), and psychiatric and somatic comorbidities (Reiss scale, DSQIID and CIRS). Falls, hospitalisations or death occurrence is then collected every year during 5 years. The connection between frailty index and age will be studied using linear regression. The frailty index validity will be analysed using ROC curves. Modelisation of the falls, hospitalisations or death risk in the 5 years after the initial evaluation will help in identification of the more frailty predictive criteria.

Background: Some patients with unusual genetic conditions are referred to the National Institutes of Health (NIH). They may not be eligible to join current research studies. Testing such patients is a good way to improve the skills of research staff. The findings could lead to new processes and research. Objectives: To recruit a diverse group of pediatric subjects with genetic disorders. To give clinic staff hands-on experience working with these patients. Eligibility: Children any age with a known or suspected genetic disorder. Design: Participants will be screened with medical history and physical exam. They may have lab and other tests. Family members may give DNA samples. Participants will have: Medical history Physical exam Height, weight, and other measurements taken. A clinical evaluation of their disorder. They may have: Blood, urine, and saliva samples taken Imaging tests. These may include x-rays, scans, ultrasound, or skeletal survey. A sleep study A visit with other specialists at NIH A genetic test from a commercial lab Medical photographs taken Other tests Participants may have follow-up visits. They may get medical or surgical treatment.

The main objective of the study is to define, for Autism Spectrum Disorder, the extent of genetic variation in synaptic pathways that may be targeted for therapeutic development. For this purpose the investigators will take advantage of large, well-characterized cohorts of patients with Autism Spectrum Disorder for genetic screenings. Targeted sequencing of selected synaptic genes, previously associated with Autism Spectrum Disorder, will be carried out in these cohorts with deep coverage of coding regions and a strong focus on previously untested regulatory regions. Genomic data from Copy Number Variant, whole genome sequencing and exome sequencing, available for some of these patients, will be integrated in the overall analysis. The investigators will strongly emphasize the establishment of comprehensive genotype/phenotype correlations.

This is a pivotal, prospective, double-blind, study to evaluate the sensitivity and specificity of the SenseToKnow app for the detection of autism spectrum disorder in children 16-36 months of age.

The goals of this diagnostic study are to determine how accurate general pediatricians are in autism spectrum disorder (ASD) diagnostic assessment and which children might be best suited for this type of assessment. The investigators will also evaluate the use of a new virtual diagnostic tool, the Autism Assessment for Preschoolers with Language Element Sequence (AAPLES). The investigators will recruit twenty general pediatricians from across Ontario, Canada, as well as 200 of their patients (maximum 10 per pediatrician) who have been referred with possible ASD. The general pediatrician will complete their assessment and decide on a diagnosis, but will not tell the family. The ASD expert team, consisting of a developmental paediatrician and a psychologist, will also perform a diagnostic assessment without knowing the general pediatrician's opinion. The team will inform the family of their diagnostic opinion. Investigators will determine the diagnostic agreement between the two assessments. They will then determine which of the child's characteristics (age, sex, racial/ethnic background, ASD features, developmental delays, having a sibling with ASD) predict agreement in diagnosis. Some children in the study will have the option of undergoing an additional virtual autism diagnostic assessment using the AAPLES. The clinician administering the AAPLES will not know the results of the other assessments. The investigators will measure diagnostic agreement between the clinician administering the AAPLES and the expert team.

This study is to investigate the differential and shared neural underpinnings of facial emotion processing within Conduct disorder (CD) and Autism-Spectrum disorder (ASD) and to investigate the interaction between deficits in emotion processing and dysfunctional cognitive control processes. Differences in emotion processing and the underlying neural underpinnings of such differences will be assessed by means of functional magnetic resonance imaging (fMRI) without any contrast agent, combined with adapted emotion processing paradigms and eye tracking techniques.

GEMMA is a multicenter longitudinal observational study that follows children who are genetically at-risk of developing autism for their first three years of life, seeking to identify potential biomarkers predictive of autism development in the blood, stool, urine and saliva. The biomarkers identified in this project will contribute to a better understanding of the pathogenesis of ASD in at-risk children and possible solutions for alleviating and/or preventing ASD and ASD-related symptoms in patients in the future.

The purpose of this study is to analyze patterns in individuals with hnRNP (and other) genetic variants, including their neurological comorbidities, other medical problems and any treatment. The investigators will maintain an ongoing database of medical data that is otherwise being collected for routine medical care. The investigators will also collect data prospectively in the form of questionnaires, neuropsychological assessments, motor assessments, and electroencephalography to examine the landscape of deleterious variants in these genes.

Autism Spectrum Disorder (ASD) is the fastest growing neurodevelopmental disorder in the world. Approximately 1% of the population worldwide is affected by this disorder. Children with ASD exhibit some very stereo-typical behaviors. Their daily functionality depends on very rigid and predictable schedules and routines. Any changes in their schedules can often trigger negative emotional outbursts. The need to come to the hospital for procedures can be one such trigger. The purpose of this study is to examine the post anesthesia behavior outcomes of children with ASD.

This is an observational study where patients with eating disorders (ED) are compared with healthy controls without eating disorder (HC) regarding eating disorders features and autism spectrum features. Also patients will be reassessed after 5 years.