The MHESC Study, funded by the National Institute of Mental Health (R01MH121877; PIs Luby, Rogers, Wakschlag), employs computational methods to generate a neurodevelopmental risk calculator, predicting preschool psychopathology from infant brain and behavioral markers. The goal of this study is to develop a calculator to be implemented in public health settings, including pediatric primary care, to identify young children at risk for mental health difficulties and therefore improve anti-biased clinical decision making. The study uses state-of-the art harmonization methods to form a neurodevelopmental synthetic cohort and generate an infant mental health risk calculator building on decades of work in cardiovascular risk prediction (e.g., the Framingham Risk Calculator). The MHESC reflects a large transdisciplinary collaboration with Northwestern University and Washington University School of Medicine. The cross-institutional collaboration integrates epidemiological risk prediction and machine learning experts, neuroscientists, developmental psychologists, and psychopathologists.
L. Wakschlag, Leigha A. MacNeill, Lindsay R. Pool, Justin D. Smith, H. Adam, D. Barch, E. Norton, C. Rogers, Isaac L. Ahuvia, C. Smyser, J. Luby, N. Allen
Journal of Clinical Child & Adolescent Psychology, 2023
L. Wakschlag, Amy L. Finlay-Jones, Leigha A. MacNeill, Aaron J Kaat, C. Brown, Matthew M Davis, Patricia Franklin, C. Berkel, S. Krogh-Jespersen, J. Smith
Frontiers in Public Health, 2022
Leigha A. MacNeill, N. Allen, Roshaye B. Poleon, Teresa Vargas, K. J. Osborne, Katherine S. F. Damme, D. Barch, S. Krogh-Jespersen, A. Nielsen, E. Norton, C. Smyser, C. Rogers, J. Luby, V. Mittal, L. Wakschlag
Development and Psychopathology, 2021