This Vanderbilt Kennedy Center Lecture on Development and Developmental Disabilities was presented on April 7, 2022.
Developmental cognitive neuroscience is being pulled in new directions by network science and big data. Brain imaging (e.g. functional MRI, functional connectivity MRI), analytical advances (e.g. graph theory, machine learning), and access to large computing resources have empowered us to collect and process neuro-behavioral data faster and in larger populations than ever before. The translational potential from these advances is unparallelled, as a better understanding of complex human brain function is best grounded in the onset of these functions during human development. However, the maturation of the developmental cognitive neuroscience has seen the emergence of new challenges and pitfalls, which have significantly slowed progress and need to be overcome to maintain momentum. Here I examine the state of developmental cognitive neuroscience in the era of networks and 'big data' and highlight the solid footing we can take forward into the future.
Damien Fair, Ph.D.,
Professor, Institute of Child Development; Professor, Department of Pediatrics, University of Minnesota Medical School; Redleaf Endowed Director, Masonic Institute for the Developing Brain
About Damien Fair: Dr. Fair's research focuses on mechanisms and principles that underlie the developing brain. The majority of this work uses functional MRI and resting state functional connectivity MRI to assess typical and atypical populations. A second focus has become testing the feasibility of using various functional and structural MRI techniques in translational studies of developmental neuropsychiatric disorders (e.g., attention deficit hyperactivity disorder, and autism). I am exploring ways to better characterize individual patients with these psychopathologies to help guide future diagnostic, therapeutic and genetic studies.
Last Updated: 4/11/2022 9:50:08 AM
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