Abstract #0422

Portable Ultra-Low Field MRI is Sensitive to Distinct Profiles in Brain Development of Malnutrition and Nutritional Intervention

Muriel Bruchhage¹, Hang Zhou², Yidong Zhou², Daniel Elijah Scheiene¹, Niall J. Bourke³, Jonathan O’Muircheartaigh^4,5, James Cole⁶, Kristofer E. Bouchard^7,8, Susanne Martin-Herz⁹, Victoria Laleau⁹, Valerie Flaherman⁹, Sean C. L. Deoni¹⁰, Hans-Georg Müller², Joan Murungi¹¹, and Victoria Nankabirwa¹¹

¹Institute for Social Sciences, University of Stavanger, Stavanger, Norway, ²Department of Statistics, University of California Davis, Davis, CA, United States, ³Centre for Neuroimaging Sciences, King's College London, London, United Kingdom, ⁴Department of Forensic and Neurodevelopmental Sciences, King's College London, London, United Kingdom, ⁵Department of Perinatal Imaging and Health, King's College London, London, United Kingdom, ⁶Department of Computer Science, UCL, London, United Kingdom, ⁷Scientific Data Division and Biological Systems & Engineering Division, Lawrence Berkeley National Laboratory, University of California Berkeley, Berkeley, CA, United States, ⁸Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience, University of California Berkeley, Berkeley, CA, United States, ⁹Department of Pediatrics, Division of Developmental Medicine, University of California San Francisco, San Francisco, CA, United States, ¹⁰Maternal, Newborn, and Health Discovery Tolls, Bill and Melinda Gates Foundation, Seattle, WA, United States, ¹¹School of Public Health, Makerere University, Kampala, Uganda

Synopsis

Keywords: Neuro, Pediatric, Low-Field MRI

Motivation: The first years are essential for a child’s development and adverse factors, including malnutrition, can affect neurodevelopment and survival rates. Access to high-field MRI scanners in Sub-Saharan Africa is highly limited.

Goal(s): To detect distinct profiles in brain development of malnutrition and nutritional intervention using ultra-low field MRI.

Approach: We used ultra-low field MRI in a pediatric cohort in Uganda of 71 infants (<1.5 years) with and without history of malnourishment, imaged before and after receiving an intervention.

Results: Using PACE brain-for-age growth percentiles, we demonstrate that ultra-low field MRI is sensitive to distinct profiles in brain development of malnutrition and nutritional intervention.

Impact: The distinct profiles of early malnourishment on neurodevelopment and their changes after nutritional intervention derived by ultra-low field MRI could allow for more appropriate neurodevelopmental burden estimates in LMIC pediatric populations and support early intervention evaluation.

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