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Abstract #0163

Longitudinal Brain and Cognitive Development of the First 1000 Days:A Large Multi-Cohort Multi-Scanner Study

Muriel Bruchhage1,2,3, Yaqing Chen4, Alvaro Gajardo Cataldo4, Hans-Georg Müller4, Elizabeth Weisee3, Sian Wilson5,6, Maximilian Pietsch5,7, Viren D'Sa2,3, Andre Marquand8, Sylvia Madhow9,10, Kristofer Bouchard9,10, James H. Cole11,12, Francesca Biondo11,13, Jed Elison14, Jonathan OMuirchheartaigh5,6,7, and Sean C. L. Deoni2,3,15
1Psychology, Stavanger University, Stavanger, Norway, 2Pediatrics, Warren Alpert Medical School at Brown University, Providence, RI, United States, 3Diagnostic Imaging, Rhode Island Hospital, Providence, RI, United States, 4Statistics, UC Davis, Davis, CA, United States, 5Centre for the Developing Brain, Department of Perinatal Imaging and Health, King's College London, London, United Kingdom, 6Department of Forensic & Neurodevelopmental Sciences, King's College London, London, United Kingdom, 7MRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom, 8Radboud University, Maastricht, Netherlands, 9Scientific Data Division & Biological Systems and Engineering Division, LBNL, Berkeley, CA, United States, 10Helen Wills Neuroscience Institute & Redwood Center for Theoretical Neuroscience, UC Berkeley, Berkeley, CA, United States, 11Centre for Medical Image Computing, Computer Science, UCL, London, United Kingdom, 12Dementia Research Centre, Queen Square Institute of Neurology, UCL, London, United Kingdom, 13Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom, 14Institute of Child Development, University of Minnesota, Minneapolis, MN, United States, 15Brown's Advanced Baby Imaging Lab, Rhode Island Hospital, Providence, RI, United States


The first 1000 days are essential for a child’s development, consisting of critical time windows for brain and cognitive development but also vulnerability. In this large multi-cohort study, we investigated typical development of 478 children with ≤6 timepoints across two different scanners with different acquisition protocols. PACE brain-for-age growth percentiles and regression slope functions with 95% pointwise confidence intervals identified critical windows of neurocognitive development. Our results could allow for more appropriate neurodevelopmental burden estimates across multi-scanner cohorts, and help identify primary risk factors and age-specific intervention impact.

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