A scoping review of physiological biomarkers in autism
Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by
pervasive deficits in social interaction, communication impairments, and the presence of …
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
Mental health conditions are difficult to diagnose, requiring expert clinicians and subjective
judgements. There has been interest in finding quantitative biomarkers using resting state …
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
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 …
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 …
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 …
disorders that affects around one in every 36 children worldwide. Since autistic children …
Rodent Models for ASD Biomarker Development
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 …
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 …
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 …
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 …
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 …
spectrum disorder (ASD). However, recent evidence suggests that individuals with ASD may …