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The present study reviews the state of the literature on neural correlates of self-regulation and their implications for education. The review focuses on a decade-long program from our lab that collected data on disruptive behavior problems in middle childhood, which result from a lack of emotional self-regulation. We will examine whether neural measures of self-regulation, 1) covary with individual differences in behavioral measures of self-regulation, 2) trace developmental patterns, and 3) predict behavioral change with successful intervention. Moreover, we will discuss how what we learned from these neural indices applies to educational practice for children with disruptive behavior problems.
Steven Woltering, Texas A&M University - College Station
Qinxin Shi, Texas A&M University - College Station