A scoping review of physiological biomarkers in autism

J Shan, Y Gu, J Zhang, X Hu, H Wu, T Yuan… - Frontiers in …, 2023 - frontiersin.org
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by
pervasive deficits in social interaction, communication impairments, and the presence of …

Lack of univariate, clinically-relevant biomarkers of autism in resting state EEG: a study of 776 participants

AJO Dede, W Xiao, N Vaci, MX Cohen, E Milne - medRxiv, 2023 - medrxiv.org
Mental health conditions are difficult to diagnose, requiring expert clinicians and subjective
judgements. There has been interest in finding quantitative biomarkers using resting state …

Development of peak alpha frequency reflects a distinct trajectory of neural maturation in autistic children

CE Finn, GT Han, AJ Naples, JM Wolf… - Autism …, 2023 - Wiley Online Library
Electroencephalographic peak alpha frequency (PAF) is a marker of neural maturation that
increases with age throughout childhood. Distinct maturation of PAF is observed in children …

Relationships between peak alpha frequency, age, and autistic traits in young children with and without autism spectrum disorder

M Kameya, T Hirosawa, D Soma, Y Yoshimura… - Frontiers in …, 2024 - frontiersin.org
Background Atypical peak alpha frequency (PAF) has been reported in children with autism
spectrum disorder (ASD); however, the relationships between PAF, age, and autistic traits …

Grid-tuned ensemble models for 2D spectrogram-based autism classification

MZ Ullah, D Yu - Biomedical Signal Processing and Control, 2024 - Elsevier
Background Autism spectrum disorder (ASD) is a prevalent collection of developmental
disorders that affects around one in every 36 children worldwide. Since autistic children …

Rodent Models for ASD Biomarker Development

HHC Lee, M Sahin - Neurophysiologic Biomarkers in Neuropsychiatric …, 2024 - Springer
Advances in molecular biology and genetics are increasingly revealing the complex etiology
of autism spectrum disorder (ASD). In parallel, a number of biochemical, anatomical, and …

A Clinical Diagnosis Based Approach for EEG-Based Classification of Autism Spectrum Disorder Using Hilbert Transform and Single Label SVM

S Patil, P Patil - 2023 7th International Conference On …, 2023 - ieeexplore.ieee.org
The goal of this study was to create a machine learning-based technique for identifying
electroencephalography (EEG) data to help in the diagnosis of autism spectrum disorder …

Método de classificação de sinais de eletroencefalograma para auxílio ao diagnóstico do transtorno do espectro autista

JL Sousa Neto - 2024 - tede.ufam.edu.br
Pesquisas recentes indicam um crescente número de crianças diagnosticadas com o
transtorno do espectro autista (TEA), doença caracterizada por sintomas que impactam …

Rodent Models for ASD Biomarker

HHC Lee, M Sahin - Neurophysiologic Biomarkers in Neuropsychiatric … - books.google.com
Advances in molecular biology and genetics are increasingly revealing the complex etiology
of autism spectrum disorder (ASD). In parallel, a number of biochemical, anatomical, and …

Characterizing Brain Aging Trajectories in Older Adults with Autism Spectrum Disorder using a Novel Graph Theory Measure

G Sullivan - 2022 - search.proquest.com
Little is known about how cognitive and brain aging patterns differ in older adults with autism
spectrum disorder (ASD). However, recent evidence suggests that individuals with ASD may …