Résumé
It is critical to assess the development and injury of brain function in premature infants in early stage.Currently,brain development and brain injury are evaluated by many ways and mainly by kinds of imaging and behavioral neurological assessment.The integrated application of these examination methods have been explored for years.The combination of resting-state functional magnetic resonance imaging and electroencephalography has prominent advantages,because they do not need to perform specific tasks,and they are noninvasive and non-toxic for preterm infants.Based on the support vetor machine learning of artificial intelligence technology,the typical characteristics of 2 multimodal data can be integrated and a multimodal assessment system which automatically monitor and predict premature infants' brain function development and injury can be established.