bioRxivNeurosciencePreprint
Growth charts of infant visual neurodevelopment generalize across global contexts
Emma T. MargolisiD, Chris CampiD, Ana C. Sobrino, Guilherme V. PolanczykiD, Daniel FatoriiD, Khula South Africa Team, Germina Team, LABS Team, GABA Team, 1kD EEG Working Group, 1kD Machine Learning Working Group, Laura CornelisseniD, Charles B. BerdeiD, Takao K. HenschiD, Charles A. NelsoniD, Elizabeth Shephard, Kirsten Ann DonaldiD, Dustin ScheinostiD, Laurel Joy Gabard-DurnamiD
Abstract
Normative brain growth charts in early life hold great promise for furthering basic and clinical science. We leverage the rapid, substantial development of visual cortex function that is indexed by visual-evoked potentials (VEP) in electroencephalography to create longitudinal normative growth curves of task-related brain function with 1374 observations contributed by 802 infants (57 to 579 days old) from South Africa, Brazil, and the United States. Site-specific models were cross-validated and showed excellent fits to other sites samples, demonstrating functional growth curves generalize across contexts robustly. Deviations from the normative growth models associated with early environmental and behavioral measures such as prenatal exposures and postnatal cognition. These findings demonstrate the utility of using functional growth charts to understand and potentially act on individual neurodevelopmental trajectories. VEP brain function growth charts represent a new direction for EEG research to support healthy brain development globally.
- organism: human
- assay: electronic health records
- research focus: benchmarking
- approach: statistical model
- Citations
- 1
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