Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
466-05-008 ISMRM Abstract

Predicting Longitudinal Impact of Neurodevelopmental Risk Factors on the Brain of Infants in Low to Middle Income Countries

Primary: Pediatrics - Neuro
Secondary: Physics & Engineering - Low-Field MRI
466-05-008 · Pediatric Low Field MRI · Tuesday, 12 May, 4:00 PM–4:55 PM · Digital Posters Row G
Keywords: Risk factors Ultra low-field MRI Infant Brain Development
Accepted
Ayo Zahra 1, Russell Macleod, Aksel Leknes2,3,4, Victoria Nankabirwa5, Michal M Zieff6,7,8, Simone R Williams6,7,8,9,10,11,12,13, Layla Bradford6,7,8,9,10,13, Laurel Gabard-Durnam14, Sidra Kaleem15,16, Maclean Vokhiwa17,18,19, Chiara Casella20,21,22,23,24,25,26,27, Kirsten A Donald6,7,8,9,11,13,28,29,30,31, Jonathan O'Muircheartaigh20,21,23,24,25,27,32,33,34, Muriel Bruchhage1,35
1Institute of Psychology, University of Stavanger, STAVANGER, Norway
2University of Stavanger, STAVANGER, Norway
3Institute for Social Sciences, University of Stavanger, STAVANGER, Norway
4Department of Radiology, Stavanger University Hospital, Stavanger, Norway
5Department of Epidemiology and Biostatistics, Makerere University and Vilirana Hospital, Uganda, Uganda
6Department of Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa
7Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Cape Town, South Africa
8Division of Developmental Paediatrics, Department of Paediatrics and Child Health and Neuroscience Institute, University of Cape Town, South Africa, South Africa
9University of Cape Town, Cape Town, South Africa
10Red Cross War Memorial Children’s Hospital, Cape Town, South Africa
11Paediatrics and Child Health, University of Cape Town, Cape Town, South Africa
12Division of Epidemiology & Biostatistics, School of Public Health, University of Cape Town, South Africa
13Neuroscience Institute, University of Cape Town, Cape Town, South Africa
14Institute for Cognitive and Brain Health, Northeastern University, Boston, United States of America
15Aga Khan University, Kenya
16Department of Paediatrics and Child Health, Aga Khan University Hospital, Pakistan, Pakistan
17Paediatrics, Kamuzu University of Health Sciences, Blantyre, Malawi
18Training and Research Unit of Excellence, Blantyre, Malawi
19Neuroscience, Training and Research Unit of Excellence, Blantyre, Malawi
20King's College London, London, United Kingdom
21Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, Kings College London, London, United Kingdom
22Kings College London, London, United Kingdom
23Research Dept of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
24London Collaborative Ultra high field System (LoCUS), London, United Kingdom
25Department of Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
26Research department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, Kings College London, London, United Kingdom
27Department for Forensic and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, United Kingdom
28Neuroscience Institute, University of Cape Town, South Africa
29Neuroscience Institute, University of Cape Town, South Africa, South Africa
30Division of Developmental Paediatrics, University of Cape Town, South Africa, South Africa
31Department of Pediatrics and Child Health, Red Cross War Memorial Hospital, University of Cape Town, Cape Town, South Africa
32MRC Centre for Neurodevelopmental Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
33Medical Research Council (MRC) Centre for Neurodevelopmental Disorders, King’s College London, United Kingdom, Kings College London, London, United Kingdom
34Research department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
35Department of Radiology, Stavanger Medical Imaging Laboratory, Stavanger University Hospital, Stavanger, Norway
Presenting Author: Ayo Zahra

Synopsis

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References

1. Abate, F., Adu-Amankwah, A., Ae-Ngibise, K. A., Agbokey, F., Agyemang, V. A., Agyemang, C. T., Akgun, C., Ametepe, J., Arichi, T., Asante, K. P., Balaji, S., Baljer, L., Basser, P. J., Beauchemin, J., Bennallick, C., Berhane, Y., Boateng-Mensah, Y., Bourke, N. J., Bradford, L., … Williams, S. C. R. (2024). UNITY: A low-field magnetic resonance neuroimaging initiative to characterize neurodevelopment in low and middle-income settings. Developmental Cognitive Neuroscience, 69, 101397. https://doi.org/10.1016/J.DCN.2024.101397 [doi]
2. Black, M. M., Walker, S. P., Fernald, L. C. H., Andersen, C. T., DiGirolamo, A. M., Lu, C., McCoy, D. C., Fink, G., Shawar, Y. R., Shiffman, J., Devercelli, A. E., Wodon, Q. T., Vargas-Barón, E., & Grantham- McGregor, S. (2017). Early childhood development coming of age: Science through the life course. The Lancet, 389(10064), 77–90. https://doi.org/10.1016/S0140-6736(16)31389-7 [doi]
3. Bruchhage, M. M. K., Ngo, G.-C., Schneider, N., D’Sa, V., & Deoni, S. C. L. (2020). Functional connectivity correlates of infant and early childhood cognitive development. Brain Structure and Function, 225(2),669–681. https://doi.org/10.1007/s00429-020-02027-4 [doi]
4. Donald, K. A., Wedderburn, C. J., Barnett, W., Nhapi, R. T., Rehman, A. M., Stadler, J. A. M., Hoffman, N.,Koen, N., Zar, H. J., & Stein, D. J. (2019). Risk and protective factors for child development: An observational South African birth cohort. PLOS Medicine, 16(9), e1002920. https://doi.org/10.1371/journal.pmed.1002920 [doi]
5. Casella, C., Leknes, A., Bourke, N., Zahra, A., Scheiene, D., Kyriakopoulou, V., Williams, S., Deoni, S., Nankabirwa, V., Donald, K., Marisa, M., Bruchhage, K., & O'muircheartaigh, J. (n.d.). MiniMORPH: A Morphometry Pipeline for Low-Field MRI in Infants.
6. Case, A., Fertig, A., & Paxson, C. (2005). The lasting impact of childhood health and circumstance. Journal of Health Economics, 24(2), 365–389. https://doi.org/10.1016/J.JHEALECO.2004.09.008 [doi]
7. Crosnoe, R., Leventhal, T., Wirth, R. J., Pierce, K. M., & Pianta, R. C. (2010). Family Socioeconomic Status and Consistent Environmental Stimulation in Early Childhood. Child Development, 81(3), 972–987. https://doi.org/10.1111/J.1467-8624.2010.01446.X [doi]
8. Deoni, S. C. L., Dean, D. C., O’Muircheartaigh, J., Dirks, H., & Jerskey, B. A. (2012). Investigating white matter development in infancy and early childhood using myelin water faction and relaxation time mapping. NeuroImage, 63(3), 1038–1053. https://doi.org/10.1016/J.NEUROIMAGE.2012.07.037 [doi]
9. Du Toit, M., Van Der Linde, J., & Swanepoel, D. W. (2021). Early Childhood Development Risks and Protective Factors in Vulnerable Preschool Children from Low-Income Communities in South Africa. Journal of Community Health, 46(2), 304–312. https://doi.org/10.1007/s10900-020-00883-z [doi]
10. Grantham-McGregor, S., Cheung, Y. B., Cueto, S., Glewwe, P., Richter, L., & Strupp, B. (2007). Developmental potential in the first 5 years for children in developing countries. The Lancet, 369(9555),60–70. https://doi.org/10.1016/S0140-6736(07)60032-4 [doi]
11. Ismail, F. Y., Fatemi, A., & Johnston, M. V. (2017). Cerebral plasticity: Windows of opportunity in the developing brain. European Journal of Paediatric Neurology, 21(1), 23–48. https://doi.org/10.1016/j.ejpn.2016.07.007 [doi]
12. McCoy, D. C., Peet, E. D., Ezzati, M., Danaei, G., Black, M. M., Sudfeld, C. R., Fawzi, W., & Fink, G. (2016). Early Childhood Developmental Status in Low- and Middle-Income Countries: National, Regional, and Global Prevalence Estimates Using Predictive Modeling. PLOS Medicine, 13(6), e1002034. https://doi.org/10.1371/journal.pmed.1002034 [doi]
13. Scheinost, D., Pollatou, A., Dufford, A. J., Jiang, R., Farruggia, M. C., Rosenblatt, M., Peterson, H., Rodriguez, R. X., Dadashkarimi, J., Liang, Q., Dai, W., Foster, M. L., Camp, C. C., Tejavibulya, L., Adkinson, B. D., Sun, H., Ye, J., Cheng, Q., Spann, M. N., … Westwater, M. L. (2023). Machine Learning and Prediction in Fetal, Infant, and Toddler Neuroimaging: A Review and Primer. Biological Psychiatry, 93(10), 893–904. https://doi.org/10.1016/j.biopsych.2022.10.014 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/466-05-008