WELCOME TO Medical Science Hypotheses
Medical Science Hypotheses has developed as an independent title in 2014 out of the highly popular Hypothesis section of the Medical Science Monitor. The Editors believe that hypothesis reports are inspiring source of information in developing new research areas or therapies. In addition to the inspiration, these reports are an important basis for further and more advanced research on diagnosis, treatment development, causes and outcomes of disease.
The aim of the Journal is to gather hypothesis reports across all medical disciplines, thereby integrating international medical knowledge.
As a continuation of the Medical Science Monitor, the new journal will be added to PubMed Central / PubMed and Medline after a short period of evaluation of the first 15 published papers. We are looking forward to your submission.
Published: 2018-09-19

Use of Objective Measures to Evaluate Parent-Mediated Training of Autism Spectrum Disorder (ASD) Children
Muhammad Iqbal, Alaa Alghamdi, Fouad Alghamdi, Khalid Regaiey, Shahid Bashir
Department of Physiology, Faculty of Medicine, King Saud University, Riyadh, Saudi Arabia
Med Sci Hypotheses 2018; 5:20-24
DOI: 10.12659/MSH.911969
ABSTRACT:
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects at least 1% of the population, and its prevalence has increased in recent years. There is a great need for raising awareness of ASD, better diagnosis, and, most of all, evidence-based interventions to improve quality of life of ASD individuals and their caregivers. There is increasing evidence that training of parents, teachers, and other professionals working with children with autism provides better interventions for use with ASD individuals. Given that not all interventions work for all children, studies with high-risk children showed that eye-tracking and EEG measures related to a typical socially rewarding stimulus could predict diagnosis. Thus, we postulate that the combination of training and assessment by eye-tracking and EEG could predict and assess intervention outcomes and manage this essential neurodevelopmental disorder in a better and more timely manner.
Keywords: Autistic Disorder, Neurofeedback, Neurosciences
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