Artificial intelligence-based approaches for improving the diagnosis, triage, and prioritization of autism spectrum disorder: a systematic review of current trends and …

SS Joudar, AS Albahri, RA Hamid, IA Zahid… - Artificial Intelligence …, 2023 - Springer
The artificial intelligence (AI) trend to embrace Autism Spectrum Disorder (ASD) has
dramatically transformed the landscape of medical diagnosis. People often exhibit fear and …

A review of Graph Neural Networks for Electroencephalography data analysis

M Graña, I Morais-Quilez - Neurocomputing, 2023 - Elsevier
Electroencephalography (EEG) sensors are flexible and non-invasive sensoring devices for
the measurement of electrical brain activity which is extensively used in some areas of …

Mechanical hierarchy in the formation and modulation of cortical folding patterns

P Chavoshnejad, L Vallejo, S Zhang, Y Guo, W Dai… - Scientific Reports, 2023 - nature.com
The important mechanical parameters and their hierarchy in the growth and folding of the
human brain have not been thoroughly understood. In this study, we developed a multiscale …

Brain functional network topology in autism spectrum disorder: a novel weighted hierarchical complexity metric for electroencephalogram

T Wadhera, M Mahmud - IEEE Journal of Biomedical and …, 2022 - ieeexplore.ieee.org
Recent complex network analysis reflected the brain network as a modular network with
small-world architecture in Autism Spectrum Disorder (ASD). Network hierarchy, which can …

Attention measurement of an autism spectrum disorder user using EEG signals: A case study

JJ Esqueda-Elizondo, R Juárez-Ramírez… - Mathematical and …, 2022 - mdpi.com
Autism Spectrum Disorder (ASD) is a neurodevelopmental life condition characterized by
problems with social interaction, low verbal and non-verbal communication skills, and …

Enhancing autism spectrum disorder classification in children through the integration of traditional statistics and classical machine learning techniques in EEG …

J Rogala, J Żygierewicz, U Malinowska, H Cygan… - Scientific Reports, 2023 - nature.com
Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder hallmarked by
challenges in social communication, limited interests, and repetitive, stereotyped …

Computer-aided autism spectrum disorder diagnosis with behavior signal processing

M Cheng, Y Zhang, Y Xie, Y Pan, X Li… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Behavioral observation plays an essential role in the diagnosis of Autism Spectrum Disorder
(ASD) by analyzing children's atypical patterns in social activities (eg, impaired social …

Identification of diagnostic markers for ASD: a restrictive interest analysis based on EEG combined with eye tracking

B Sun, B Wang, Z Wei, Z Feng, ZL Wu… - Frontiers in …, 2023 - frontiersin.org
Electroencephalography (EEG) functional connectivity (EFC) and eye tracking (ET) have
been explored as objective screening methods for autism spectrum disorder (ASD), but no …

An effective fusing approach by combining connectivity network pattern and temporal-spatial analysis for EEG-based BCI rehabilitation

L Cao, W Wang, C Huang, Z Xu, H Wang… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Motor-modality-based brain computer interface (BCI) could promote the neural rehabilitation
for stroke patients. Temporal-spatial analysis was commonly used for pattern recognition in …

Classification of low-functioning and high-functioning autism using task-based EEG signals

B Divya, N Udayakumar, R Yuvaraj… - … Signal Processing and …, 2023 - Elsevier
Autism is a neurodevelopmental disorder marked by a lack of interpersonal, social, and
communication skills, and repetitive and limited behavioral patterns. Autism exhibits a …