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Abstract #2969

Potential of Resting State Connectivity and Passive fMRI to Detect Precursors of Learning Disabilities in Infants: Preliminary Results with Infants at Familial Risk for Developmental Dyslexia

Mathieu Dehaes1, 2, Nora M. Raschle1, 3, Danielle D. Sliva2, Jennifer Zuk3, Marie Drottar2, Michelle Chang3, Barbara Peysakhovich3, Bryce Becker3, Sara Smith3, Rudolph Pienaar1, 2, Nadine Gaab1, 3, Patricia Ellen Grant, 24

1Pediatrics, Harvard Medical School, Boston, MA, United States; 2Newborn Medicine, Boston Children's Hospital, Boston, MA, United States; 3Developmental Medicine, Boston Children's Hospital, Boston, MA, United States; 4Pediatrics, Boston Children's Hospital, Boston, MA, United States

Developmental dyslexia (DD) is a specific language-based learning disorder affecting 5-17% of all children, characterized by difficulties with word recognition, poor spelling and decoding. Currently DD can only be diagnosed around 3rd grade, restricting the implementation of early intervention. It remains unclear how early these differences manifest. Functional resting-state connectivity MRI is a safe technique that can reveal resting-state network (RSN). Here we used an independent component analysis to estimate RSNs in infants with and without familial risk for DD at 7-12 months. Results indicate successful detection of RSNs. fMRI maps may be used as seed regions to reveal RSNs.