Nonlinear Dynamics, Psychology, and Life Sciences, Vol. 24, Iss. 2, Apr, 2020, pp. 159-177
@2020 Society for Chaos Theory in Psychology & Life Sciences

 
Fractal Characterization of Stochastic Series Fluctuations of Children with Reading Disorders

Ixchel Reyes Lina, Universidad Tecnologica de Mexico, Mexico
Teresa Ivonne Contreras Troya, Universidad Autonoma del Estado de Mexico, Mexico
Oswaldo Morales Matamoros, Escuela Superior de Ingenieria Mecanica y Electrica del Instituto Politecnico Nacional, Mexico
Jesus Jaime Moreno Escobar, Escuela Superior de Ingenieria Mecanica y Electrica del Instituto Politecnico Nacional, Mexico
Ricardo Tejeida Padilla, Escuela Superior de Turismo del Instituto Politecnico Nacional, Mexico

Abstract: Reading is an emerging process from human brain activity. This process sometimes is subject to disorders which has been studied from the performance of studies that provide data that are treated with qualitative and quantitative linear tools to obtain the average behavior determined and the causality of it. This research focuses on the nonlinear quantitative study of reading disorder and in this way fractal geometry and roughness interface growth theory approach were selected to be used in the processing of brain wave quantification (EEG). From the EEG of children with and without reading disorders in the State of Mexico (experimental and control group) were built time series of standard deviation for each of the 19 channels distributed in cerebral cortex. The self-affinity of these time series (treated as interfaces in motion) is studied by the scaling behavior of their structure functions. It was found that the behavior of the time series of children with reading problems (experimental group) and without them (control group) is similar to the Family-Vicsek scaling dynamic for a kinetic roughening of moving interface.

Keywords: reading, EEG, fluctuations, self-affinity, dynamic scaling, correlations, rough interfaces