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Social and Behavioral Sciences Commons™
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Articles 1 - 2 of 2
Full-Text Articles in Social and Behavioral Sciences
Profiles And Correlates Of Language And Social Communication Differences Among Young Autistic Children, Rachel Reetzke, Vini Singh, Ji Su Hong, Calliope B. Holingue, Luther G. Kalb, Natasha N. Ludwig, Deepa Menon, Danika L. Pfeiffer, Rebecca J. Landa
Profiles And Correlates Of Language And Social Communication Differences Among Young Autistic Children, Rachel Reetzke, Vini Singh, Ji Su Hong, Calliope B. Holingue, Luther G. Kalb, Natasha N. Ludwig, Deepa Menon, Danika L. Pfeiffer, Rebecca J. Landa
Communication Disorders & Special Education Faculty Publications
Delays in early language development are characteristic of young autistic children, and one of the most recognizable first concerns that motivate parents to seek a diagnostic evaluation for their child. Although early language abilities are one of the strongest predictors of long-term outcomes, there is still much to be understood about the role of language impairment in the heterogeneous phenotypic presentation of autism. Using a personcentered, Latent Profile Analysis, we first aimed to identify distinct patterns of language and social communication ability in a clinic-based sample of 498 autistic children, ranging in age from 18 to 60 months (M = …
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
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 …