Using long-range temporal correlations in the brain to predict intellectual development in children

In this study, we employed electroencephalographic recordings to predict intelligence quotient (IQ) in children aged 8 to 10 years. The intelligence quotient (IQ) was measured using Raven’s progressive matrices. The detrended fluctuation analysis (DFA) method was employed to quantify the autocorrelations of the signal. The results demonstrated that the exponent of DFA in the frontal brain area in the alpha frequency range is correlated with IQ. Consequently, DFA provides supplementary data regarding IQ-related cognitive functions and can be employed as a means of objective assessment of a child’s intelligence.