CHILD MIND INSTITUTE INC

Science and innovation (see schedule o)cmi has a science and innovation mission that strives to create a world where every child has access to mental health care that is efficient, effective, and personalized. Timely, accurate diagnoses and efficient interventions are central to the cmi vision. As such, our mission is to accelerate the pace of scientific innovation and discovery in children's mental health and learning. We are committed to democratizing inquiry by making tools and data freely available to the global scientific community. This helps to foster collaborations that can test, improve upon, and adopt innovative open solutions for the benefit of every child.on the shoulders of giants - each year, cmi's scientific research council selects a scientist to receive the distinguished scientist award for his or her lifetime of research and contributions to the fields of children's mental health and developmental neuroscience. At the on the shoulders of giants symposium, the awardee is a featured speaker, along with two generations of his or her proteges.center for the developing brain - psychiatric diagnosis is limited by a lack of objective tools for assessing symptoms and behaviors. The center leads a multidisciplinary effort to redefine diagnosis based on underlying neurobiology, leading to the development of better diagnostic tools. We use advanced experimental and analytical techniques to determine how brain function and structure differ among individuals and are impacted by mental illness across development. Central to our open science agenda, the center houses the international neuroimaging data-sharing initiative (indi) and other open data sets and pipelines, which have served as flagships for open science in the brain imaging community. Collectively, these resources have led to more than 3,000 papers from researchers around the globe using data from cmi initiatives. It is estimated that reuse of this data has saved the field $3-5 billion, compared to if each study was required to generate the data independently.computational neuroimaging laboratory - accelerating the pace of scientific discovery requires significant innovation in the analysis methods employed by scientists. The laboratory is building the infrastructure necessary by providing high quality, scalable, and reproducible turnkey solutions to computational challenges in image processing and analysis. Widespread access will enable scientists everywhere to deploy large-scale analyses without extensive expertise. All software generated is openly shared throughout the development cycle.healthy brain network - the healthy brain network (hbn) is an innovative neuroscience research program aimed at building the largest, most comprehensive data resource focused exclusively on children and adolescents and sharing the data with scientists globally. Through a proven big data and open science paradigm, we expect that this initiative will spur the discovery of brain-based biomarkers of psychiatric and learning disorders. Cmi expects that the research will lead to the development of objective clinical tools for mental health practitioners to provide more accurate diagnoses and treatment protocols for struggling children. Scientific research council - selected from among the nation's top children's mental health scientists, the scientific research council brings together scientists and research clinicians to create a global incubator for collaborative research in children's mental health. Functioning as a multi-institutional scientific think-tank, the council includes distinguished scientists in the fields of child and adolescent psychiatry, psychology, neuroscience, and neurology, and experts in anxiety and mood disorders, adhd, autism spectrum disorders, and eating disorders.matter lab - the matter ("mental assistive technologies for therapy, education, and research") lab is developing wearable technologies and mobile apps that help gather real-world data useful for scientists studying mental health disorders, and creating robust research protocols so data is of high quality and dependable. This data on environmental stressors, movement and behavior tracking can potentially be used to alert young people and families to the onset of symptomatic behaviors.the lab is also working on a database that evaluates the research support for apps and matches them to the behaviors and symptoms they can help. The hope is that large-scale, standardized data collection and analysis will lead to simple but powerful mobile tools for diagnosis and evaluation.next-generation digital toolsthe progress from the programs above has fueled a portfolio of next-generation digital therapeutics. The child mind institute is developing a suite of digital solutions to support accessible, remotely delivered, clinically validated child and adolescent behavioral therapeutics. This suite will continue to accelerate our goals to provide evidence-based assessments and interventions at scale, while collecting structured research data that will be used in pursuit of making tools and data freely available to the global scientific community.autism center - the autism center is an integrated research lab focused on understanding the neurobiology of autism spectrum disorder using brain imaging and a range of other clinical and cognitive approaches. A specific goal of the center is detecting autism-related differences in brain connectivity that emerge in early childhood, with the goal of identifying objective biological markers that can one day be used to improve early intervention efforts and the selection of treatments. Consistent with our open science philosophy, the center houses the autism brain imaging data exchange, which represents the largest open repository for autism brain imaging data in the world. Notably, 67% of autism related resting state fmri studies over the past ten years have used data from this dataset. These learnings and collaborations have propelled the field forward, driving advances in pipeline optimization for disorder classification, consideration of psychiatric comorbidity, and neurosubtyping.