Cochlear implants have improved language learning in deaf children since being approved by the FDA in 1991, but some still lag behind their normal hearing peers.
Now researchers are hoping to bridge that gap with the help of a new tool. In a recent study, brain MRIs were able to predict language learning in deaf children after they received a cochlear implant, Chicago Tonight reports.
Scientists used brain MRIs of normal hearing and deaf children to capture abnormal patterns in children with hearing loss before they received cochlear implants.
The MRIs were used to construct a machine-learning algorithm to predict language development, according to Patrick C. M. Wong, a cognitive neuroscientist, professor and director of the Brain and Mind Institute at The Chinese University of Hong Kong.
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