Investigators from Boston University and the University of San Francisco studied whether EEG could be reliably used as an early biomarker for diagnosis of autism spectrum disorder (ASD).
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| http://dx.doi.org/10.15844/pedneurbriefs-32-13 | DOI Listing |
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eNSMBL-PASD: Spearheading early autism spectrum disorder detection through advanced genomic computational frameworks utilizing ensemble learning models.
Digit Health
January 2025
Department of Computer Science, School of Systems and Technology, University of Management and Technology, Lahore, Pakistan.
Objective: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition influenced by various genetic and environmental factors. Currently, there is no definitive clinical test, such as a blood analysis or brain scan, for early diagnosis. The objective of this study is to develop a computational model that predicts ASD driver genes in the early stages using genomic data, aiming to enhance early diagnosis and intervention.
View Article and Find Full Text PDFEvaluating Computerised Assessment of Motor Imitation (CAMI) for identifying autism-specific difficulties not observed for attention-deficit hyperactivity disorder or neurotypical development.
Br J Psychiatry
January 2025
Department of Psychology, Nottingham Trent University, UK; and Institute of Human Sciences, University of Oxford, UK.
Background: Reliable and specific biomarkers that can distinguish autism spectrum disorders (ASDs) from commonly co-occurring attention-deficit/hyperactivity disorder (ADHD) are lacking, causing misses and delays in diagnosis, and reducing access to interventions and quality of life.
Aims: To examine whether an innovative, brief (1-min), videogame method called Computerised Assessment of Motor Imitation (CAMI), can identify ASD-specific imitation differences compared with neurotypical children and children with ADHD.
Method: This cross-sectional study used CAMI alongside standardised parent-report (Social Responsiveness Scale, Second Edition) and observational measures of autism (Autism Diagnostic Observation Schedule-Second Edition; ADOS-2), ADHD (Conners) and motor ability (Physical and Neurological Examination for Soft Signs).
The Prognostic Factors in Children With Status Epilepticus and Status Epilepticus Severity Score Scales.
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Department of Pediatric Psychology, College of Medicine, Balcalı Hospital, Çukurova University, Adana, Turkey.
According to the International League Against Epilepsy (ILAE) 2015 classification, status epilepticus (SE) is a seizure that lasts longer than 5 min or a frequency of more than one seizure within 5 min, without returning to a normal level of consciousness between episodes. In this study, we aimed to evaluate the prognostic factors of SE and compare our patients with those of patients treated internationally with the modified status epilepticus severity score (mSTESS) to determine the reliability of this scoring system. The medical records of patients aged 1 month-17 years with SE who were treated at Çukurova University-Balcalı Training and Research Hospital between September 2018 and September 2021 and who were followed in the intensive care unit were included in the study.
View Article and Find Full Text PDFNeurodivergence and Threat: A Case Study on the Risk of Violent Fixations in Autism Spectrum Disorder.
Cureus
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Child and Adolescent Inpatient Unit, Tower Behavioral Health, Reading, USA.
Mass shootings have increasingly captured public attention in recent decades, prompting closer examination of the mental health of those responsible. This scrutiny often focuses on individuals with neurodevelopmental disorders, such as autism spectrum disorder (ASD). While epidemiological evidence is mixed on whether these individuals are more likely to commit acts of violence than the general public, certain behavioral characteristics may make them more vulnerable to extremist ideations.
View Article and Find Full Text PDFThe COVID-19 pandemic has been associated with increased neuropsychiatric conditions in children and youths, with evidence suggesting that SARS-CoV-2 infection may contribute additional risks beyond pandemic stressors. This study aimed to assess the full spectrum of neuropsychiatric conditions in COVID-19 positive children (ages 5-12) and youths (ages 12-20) compared to a matched COVID-19 negative cohort, accounting for factors influencing infection risk. Using EHR data from 25 institutions in the RECOVER program, we conducted a retrospective analysis of 326,074 COVID-19 positive and 887,314 negative participants matched for risk factors and stratified by age.
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