Identification of autism spectrum disorder based on electroencephalography: A systematic review

J Li, X Kong, L Sun, X Chen, G Ouyang, X Li… - Computers in Biology …, 2024 - Elsevier
Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized
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 …

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 …

A multi representation deep learning approach for epileptic seizure detection

AT Hermawan, IAE Zaeni, AP Wibawa… - Journal of Robotics …, 2024 - journal.umy.ac.id
Epileptic seizures, unpredictable in nature and potentially dangerous during activities like
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

MS Kabir, S Kurkin, G Portnova, O Martynova… - Chaos, Solitons & …, 2024 - Elsevier
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 …

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 …

Brain-region specific autism prediction from electroencephalogram signals using graph convolution neural network

NP Tigga, S Garg, N Goyal, J Raj… - Technology and Health …, 2024 - content.iospress.com
BACKGROUND: Brain variations are responsible for developmental impairments, including
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 …

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 …

EEG datasets for healthcare: a scoping review

CP Da Silva, S Tedesco, B O'Flynn - IEEE Access, 2024 - ieeexplore.ieee.org
The rapidly evolving landscape of artificial intelligence (AI) and machine learning has
placed data at the forefront of healthcare innovation. Electroencephalography (EEG) has …