title: Resting State EEG in Children With Learning Disabilities: An Independent Component Analysis Approach.
abstract: In this study, the neurophysiological underpinnings of learning disabilities (LD) in children are examined using resting state EEG. We were particularly interested in the neurophysiological differences between children with learning disabilities not otherwise specified (LD-NOS), learning disabilities with verbal disabilities (LD-Verbal), and healthy control (HC) children. We applied 2 different approaches to examine the differences between the different groups. First, we calculated theta/beta and theta/alpha ratios in order to quantify the relationship between slow and fast EEG oscillations. Second, we used a recently developed method for analyzing spectral EEG, namely the group independent component analysis (gICA) model. Using these measures, we identified substantial differences between LD and HC children and between LD-NOS and LD-Verbal children in terms of their spectral EEG profiles. We obtained the following findings: (a) theta/beta and theta/alpha ratios were substantially larger in LD than in HC children, with no difference between LD-NOS and LD-Verbal children; (b) there was substantial slowing of EEG oscillations, especially for gICs located in frontal scalp positions, with LD-NOS children demonstrating the strongest slowing; (c) the estimated intracortical sources of these gICs were mostly located in brain areas involved in the control of executive functions, attention, planning, and language; and (d) the LD-Verbal children demonstrated substantial differences in EEG oscillations compared with LD-NOS children, and these differences were localized in language-related brain areas. The general pattern of atypical neurophysiological activation found in LD children suggests that they suffer from neurophysiological dysfunction in brain areas involved with the control of attention, executive functions, planning, and language functions. LD-Verbal children also demonstrate atypical activation, especially in language-related brain areas. These atypical neurophysiological activation patterns might provide a helpful guide for rehabilitation strategies to treat the deficiencies in these children with LD.
authors.affiliation: Department of Neuropsychology, University Zurich, Zurich, Switzerland lutz.jaencke@uzh.ch.
authors.forename: Lutz
authors.initials: L
authors.lastname: Jäncke
authors.affiliation: Department of Special Education, King Abdulaziz University, Jeddah, Saudi Arabia.
authors.forename: Nsreen
authors.initials: N
authors.lastname: Alahmadi
mesh_terms: D001921:Brain / Q000503:physiopathology*; D058256:Brain Waves; D002648:Child; D003627:Data Interpretation, Statistical; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D004569:Electroencephalography / Q000379:methods*; D005260:Female; D006801:Humans; D007859:Learning Disabilities / Q000175:diagnosis* / Q000503:physiopathology*; D008297:Male; D025341:Principal Component Analysis; D012146:Rest
keywords: EEG oscillations; children; electroencephalogram; independent component analysis (ICA); learning disabilities; low-resolution electrical tomographic analysis