social communication
social communication relates to brain function and cognitive performance. Peak Brain Institute explores how QEEG brain mapping and neurofeedback training connect to social communication through evidence-based approaches. Explore our 2 research papers covering this topic.
Research Papers
Characterizing the ASD–ADHD phenotype: measurement structure and invariance in a clinical sample
Background: Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD) have considerable overlap, supporting the need for a dimensional framework that examines neurodevelopmental domains which cross traditional diagnostic boundaries. In the following study, we use factor analysis to deconstruct the ASD–ADHD phenotype into its underlying phenotypic domains and test for measurement invariance across adaptive functioning, age, gender and ASD/ADHD clinical diagnoses. Methods: Participants included children and youth (aged 3–20 years) with a clinical diagnosis of ASD (n = 727) or ADHD (n = 770) for a total of 1,497 participants. Parents of these children completed the Social Communication Questionnaire (SCQ), a measure of autism symptoms, and the Strengths and Weaknesses of ADHD and Normal Behaviour (SWAN) questionnaire, a measure of ADHD symptoms. An exploratory factor analysis (EFA) was performed on combined SCQ and SWAN items. This was followed by a confirmatory factor analysis (CFA) and tests of measurement invariance. Results: EFA revealed a four-factor solution (inattention, hyperactivity/impulsivity, social-communication, and restricted, repetitive, behaviours and interests (RRBI)) and a CFA confirmed good model fit. This solution also showed good model fit across subgroups of interest. Conclusions: Our study shows that a combined ASD–ADHD phenotype is characterized by two latent ASD domains (social communication and RRBIs) and two latent ADHD domains (inattention and hyperactivity/impulsivity). We established measurement invariance of the derived measurement model across adaptive functioning, age, gender and ASD/ADHD diagnoses
View Full Paper →The Effect of Neurofeedback on Brain Waves in Children With Autism Spectrum Disorders
Objectives: Autism Spectrum Disorder (ASD) is a group of neurodevelopment syndromes with impairments in social communications and restrictive or repetitive behaviors. Neurofeedback is a new method that may regulate neuro and metabolic function in brain. This study is semiexperimental, with pre and post test. Methods: In 26 children with ASD, 40 sessions of Neurofeedback were done. Brain waves were recorded before and after intervention by EEG/ERP 19 channels. Results: The average of Theta (low frequency) power decreased, but there was no difference in the Gamma of Gamma waves (High frequency). Discussion: Our findings showed that the implementation of Neurofeedback sessions improved Theta, which leads to better social communication.
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