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UNITY: A low-field magnetic resonance neuroimaging initiative to characterize neurodevelopment in low and middle-income settings

  • F. Abate
  • , A. Adu-Amankwah
  • , K. A. Ae-Ngibise
  • , F. Agbokey
  • , V. A. Agyemang
  • , C. T. Agyemang
  • , C. Akgun
  • , J. Ametepe
  • , T. Arichi
  • , K. P. Asante
  • , S. Balaji
  • , L. Baljer
  • , P. J. Basser
  • , J. Beauchemin
  • , C. Bennallick
  • , Y. Berhane
  • , Y. Boateng-Mensah
  • , N. J. Bourke
  • , L. Bradford
  • , M. M.K. Bruchhage
  • R. Cano Lorente, P. Cawley, M. Cercignani, V. D Sa, A. de Canha, N. de Navarro, D. C. Dean, J. Delarosa, K. A. Donald, A. Dvorak, A. D. Edwards, D. Field, H. Frail, B. Freeman, T. George, J. Gholam, J. Guerrero-Gonzalez, J. V. Hajnal, R. Haque, W. Hollander, Z. Hoodbhoy, M. Huentelman, S. K. Jafri, D. K. Jones, F. Joubert, T. Karaulanov, M. P. Kasaro, S. Knackstedt, S. Kolind, B. Koshy, R. Kravitz, S. Lecurieux Lafayette, A. C. Lee, B. Lena, N. Lepore, M. Linguraru, E. Ljungberg, Z. Lockart, E. Loth, P. Mannam, K. M. Masemola, R. Moran, D. Murphy, F. L. Nakwa, V. Nankabirwa, C. A. Nelson, K. North, S. Nyame, R. O Halloran, J. O'Muircheartaigh, B. F. Oakley, H. Odendaal, C. M. Ongeti, D. Onyango, S. A. Oppong, F. Padormo, D. Parvez, T. Paus, M. S. Pepper, K. S. Phiri, M. Poorman, J. E. Ringshaw, J. Rogers, M. Rutherford, H. Sabir, L. Sacolick, M. Seal, M. L. Sekoli, T. Shama, K. Siddiqui, N. Sindano, M. B. Spelke, P. E. Springer, F. E. Suleman, P. C. Sundgren, R. Teixeira, W. Terekegn, M. Traughber, M. G. Tuuli, J. van Rensburg, F. Váša, S. Velaphi, P. Velasco, I. M. Viljoen, M. Vokhiwa, A. Webb, C. Weiant, N. Wiley, P. Wintermark, K. Yibetal, S. C.L. Deoni, S. C.R. Williams
  • Addis Continental Institute of Public Health
  • University of Wisconsin-Madison
  • Korle Bu Teaching Hospital
  • Kintampo Health Research Centre
  • flywheel.io Minneapolis
  • Cardiff University
  • King’s College London
  • University of British Columbia
  • National Institute of Health
  • Advanced Baby Imaging Lab
  • University of Cape Town
  • University of Stavanger
  • University of Pretoria
  • Collective Minds Radiology
  • University of Wisconsin-Madison
  • PATH Seattle
  • Hyperfine
  • University of North Carolina at Chapel Hill
  • Chris Hani Baragwanath Hospital
  • International Centre for Diarrheal Diseases Research
  • CaliberMRI
  • The Aga Khan University
  • Translational Genomics Research Institute
  • Christian Medical College, Vellore
  • San Fransisco
  • Harvard Medical School
  • Leiden University
  • University of Southern California
  • Children's National Medical Center
  • Lund University
  • Faculty of Health Sciences
  • Makerere University School of Public Health
  • Boston Children's Hospital
  • Stellenbosch University
  • Jaramogi Oginga Odinga University
  • Sainte-Justine Hospital University Health and Research Center
  • Training and Research Unit of Excellence (TRUE)
  • University Hospitals Bonn
  • Murdoch Childrens Research Institute
  • McGill University
  • Bill and Melinda Gates Foundation

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

Measures of physical growth, such as weight and height have long been the predominant outcomes for monitoring child health and evaluating interventional outcomes in public health studies, including those that may impact neurodevelopment. While physical growth generally reflects overall health and nutritional status, it lacks sensitivity and specificity to brain growth and developing cognitive skills and abilities. Psychometric tools, e.g., the Bayley Scales of Infant and Toddler Development, may afford more direct assessment of cognitive development but they require language translation, cultural adaptation, and population norming. Further, they are not always reliable predictors of future outcomes when assessed within the first 12–18 months of a child's life. Neuroimaging may provide more objective, sensitive, and predictive measures of neurodevelopment but tools such as magnetic resonance (MR) imaging are not readily available in many low and middle-income countries (LMICs). MRI systems that operate at lower magnetic fields (< 100mT) may offer increased accessibility, but their use for global health studies remains nascent. The UNITY project is envisaged as a global partnership to advance neuroimaging in global health studies. Here we describe the UNITY project, its goals, methods, operating procedures, and expected outcomes in characterizing neurodevelopment in sub-Saharan Africa and South Asia.

Original languageEnglish
Article number101397
JournalDevelopmental Cognitive Neuroscience
Volume69
DOIs
Publication statusPublished - Oct 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Child Health
  • Environmental Adversity
  • Global Health
  • Healthy Development
  • Low Field Magnetic Resonance Imaging
  • Neurodevelopment

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