Medicine and Health Sciences Commons^™

Nonlinear Eeg Biomarker Profiles For Autism And Absence Epilepsy, William Bosl, Tobias Loddenkemper, Charles A. Nelson

Nursing and Health Professions Faculty Research and Publications

Background

Although autism and epilepsy are considered to be different disorders, epileptiform EEG activity is common in people with autism even when overt seizures are not present. The relatively high comorbidity between autism and all epilepsy syndromes suggests the possibility of common underlying neurophysiological mechanisms. Although many different epilepsies may be comorbid with autism, absence epilepsy is a generalized epilepsy syndrome with seizures that appear as staring spells, with no motor signs and no focal lesions, making it more difficult to diagnose. Application of nonlinear methods for EEG signal analysis may enable characterization of brain activity that can help to …

How Useful Is Electroencephalography In The Diagnosis Of Autism Spectrum Disorders And The Delineation Of Subtypes: A Systematic Review, Oana Gurau, William Bosl, Charles R. Newton

Nursing and Health Professions Faculty Research and Publications

Autism spectrum disorders (ASD) are thought to be associated with abnormal neural connectivity. Presently, neural connectivity is a theoretical construct that cannot be easily measured. Research in network science and time series analysis suggests that neural network structure, a marker of neural activity, can be measured with electroencephalography (EEG). EEG can be quantified by different methods of analysis to potentially detect brain abnormalities. The aim of this review is to examine evidence for the utility of three methods of EEG signal analysis in the ASD diagnosis and subtype delineation. We conducted a review of literature in which 40 studies were …