Autism is a type of neurodevelopmental disorder affecting the memory, behavior, emotion,
learning ability, and communication of an individual. An early detection of the abnormality …

Electroencephalogram (EEG) is one of the most important signals for diagnosis of Autism
Spectrum Disorder (ASD). There are different challenges such as feature selection and the …

Studies on interactions between brain regions estimate effective connectivity,(usually) based
on the causality inferences made on the basis of temporal precedence. In this study, the …

The algorithms based on Machine Learning (ML) demand handcrafted features for data
recognition and classification. Deep learning, on the other hand, directly extracts the …

The brain connections in the different regions demonstrate the characteristics of brain
activities. In addition, in various conditions and with neuropsychological disorders, the brain …

Autism spectrum disorders (ASDs) are pervasive neurodevelopmental conditions
characterized by impairments in reciprocal social interactions, communication skills, and …

A structure of decision-level fusion-based autism diagnosis using analysis of EEG signals
related to presentation of facial expression modes has been proposed. EEG signals of …

Objective To determine the diagnostic accuracy of the applied machine learning algorithms
for the diagnosis of autism spectrum disorder (ASD) based on structural magnetic resonance …

This paper presents ICA analysis application for detection of autism disorder. In the first step,
resources of EEG signals were extracted by ICA and then time domain and frequency …

As Perturbações do Espectro do Autismo (PEA) são perturbações de desenvolvimento
caracterizadas por limitações na capacidade de comunicação e nas interações …