"This prediction could help identify children at risk for poor cognitive development shortly after birth with high accuracy," said senior author John H. Gilmore, MD, Thad and Alice Eure Distinguished Professor of psychiatry and director of the UNC Center for Excellence in Community Mental Health. "For these children, an early intervention in the first year or so of life -- when cognitive development is happening -- could help improve outcomes. For example, in premature infants who are at risk, one could use imaging to see who could have problems."
The study, which was published online by the journal NeuroImage, used an application of artificial intelligence called machine learning to look at white matter connections in the brain at birth and the ability of these connections to predict cognitive outcomes.
Gilmore - Researchers - UNC - Biomarkers - Risk
Gilmore said researchers at UNC and elsewhere are working to find imaging biomarkers of risk for poor cognitive outcomes and for risk of neuropsychiatric conditions...
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