Science & Innovation
Center for the Developing Brain
The Child Mind Institute's Center for the Developing Brain has assembled a unique research team, drawing upon a diverse array of backgrounds spanning psychiatry, cognitive neuroscience, psychology, electrical engineering, computer science and mathematics. Led by principal investigator Michael Milham, MD, PhD, the Center for the Developing Brain team is actively taking on the challenge of exploring brain development in healthy and clinical populations, with the goal of identifying the signatures of mental illness and markers of treatment response. In this regard, the Center for the Developing Brain is rapidly assembling a research program to phenotype and image Child Mind Institute patients before and after treatment, with the expressed goal of making de-identified forms of all datasets collected openly available to Child Mind Institute Endeavor Scientists—as well as the larger scientific community—on a prospective, prepublication basis. Our goal is that this demonstration of an open science philosophy will serve as a model for other institutions around the world.
Accelerating the pace of scientific discovery will take more than data generation alone. Marked innovation is required in the analytic tools and neuroscientific framework employed by scientists—this is especially true for efforts to unravel the mysteries of the computationally complex web of connections in the human brain, increasingly referred to as the 'Human Connectome'. In order to address this need, the Center for the Developing Brain has established the Computation, Analysis and Pipelining (CAP) team. The CAP team is focused on the advancement of analytic methods and neuroscientific understanding through the refinement, application and implementation of statistical, machine learning, and network theory approaches to the study of human brain structure and function in clinical and non-clinical populations. Consistent with our philosophy of open science, the CAP team is committed to openly sharing all analytic codes developed with the broader scientific community.