Identification of autism spectrum disorder based on electroencephalography: A systematic review
Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized
by difficulties in social communication and repetitive and stereotyped behaviors. According …
by difficulties in social communication and repetitive and stereotyped behaviors. According …
Autism Spectrum Disorder: Brain Areas Involved, Neurobiological Mechanisms, Diagnoses and Therapies
J Lamanna, J Meldolesi - International Journal of Molecular Sciences, 2024 - mdpi.com
Autism spectrum disorder (ASD), affecting over 2% of the pre-school children population,
includes an important fraction of the conditions accounting for the heterogeneity of autism …
includes an important fraction of the conditions accounting for the heterogeneity of autism …
Hybrid deep transfer learning-based early diagnosis of autism spectrum disorder using scalogram representation of electroencephalography signals
F Abedinzadeh Torghabeh, Y Modaresnia… - Medical & Biological …, 2024 - Springer
Early diagnosis of autism spectrum disorder (ASD) plays an important role in the
rehabilitation of the patient. This goal necessitates higher-level pattern representation and a …
rehabilitation of the patient. This goal necessitates higher-level pattern representation and a …
A multi representation deep learning approach for epileptic seizure detection
Epileptic seizures, unpredictable in nature and potentially dangerous during activities like
driving, pose significant risks to individual and public safety. Traditional diagnostic methods …
driving, pose significant risks to individual and public safety. Traditional diagnostic methods …
Contrastive machine learning reveals in EEG resting-state network salient features specific to autism spectrum disorder
We explore the potential of the contrastive variational autoencoder to detect latent disorder-
specific patterns in the network, analyzing functional brain networks in autistic individuals as …
specific patterns in the network, analyzing functional brain networks in autistic individuals as …
A machine learning model based on CHAT-23 for early screening of autism in Chinese children
H Lu, H Zhang, Y Zhong, XY Meng, MF Zhang… - Frontiers in …, 2024 - frontiersin.org
Introduction Autism spectrum disorder (ASD) is a neurodevelopmental condition that
significantly impacts the mental, emotional, and social development of children. Early …
significantly impacts the mental, emotional, and social development of children. Early …
Brain-region specific autism prediction from electroencephalogram signals using graph convolution neural network
BACKGROUND: Brain variations are responsible for developmental impairments, including
autism spectrum disorder (ASD). EEG signals efficiently detect neurological conditions by …
autism spectrum disorder (ASD). EEG signals efficiently detect neurological conditions by …
Classification of autism spectrum disorder using electroencephalography in Chinese children: a cross-sectional retrospective study
SY Ke, H Wu, H Sun, A Zhou, J Liu, X Zheng… - Frontiers in …, 2024 - frontiersin.org
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized
by diverse clinical features. EEG biomarkers such as spectral power and functional …
by diverse clinical features. EEG biomarkers such as spectral power and functional …
Characterizing autism spectrum disorder through fusion of local cortical activation and global functional connectivity using game-based stimuli and a mobile eeg …
YL Tseng, CH Lee, YN Chiu, WC Tsai… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
The deficit in social interaction skills among individuals with autism spectrum disorder (ASD)
is strongly influenced by personal experiences and social environments. Neuroimaging …
is strongly influenced by personal experiences and social environments. Neuroimaging …
EEG datasets for healthcare: a scoping review
The rapidly evolving landscape of artificial intelligence (AI) and machine learning has
placed data at the forefront of healthcare innovation. Electroencephalography (EEG) has …
placed data at the forefront of healthcare innovation. Electroencephalography (EEG) has …