Electroencephalography is the recording of brain electrical activities that can be used to
diagnose brain seizure disorders. By identifying brain activity patterns and their …

The automatic and accurate determination of the epileptogenic area can assist doctors in
presurgical evaluation by providing higher security and quality of life. Visual inspection of …

Diagnosing autism spectrum disorder (ASD) is still challenging because of its complex
disorder and insufficient evidence to diagnose. A recent research in psychiatry perspective …

With the development of data mining technology, the analysis of event-related potential
(ERP) data has evolved from statistical analysis of time-domain features to data-driven …

Aims This study aimed to develop a new intelligent diagnostic approach using an artificial
neural network (ANN). Moreover, we investigated whether the learning-method-guided …

In recent decades, huge volumes of data are available to inspect human brain activities for
disease detection. Specifically, the functional magnetic resonance imaging (fMRI) is a …

Recently, fuzzy adaptive resonance theory mapping (ARTMAP) neural networks are applied
to solving complex problems due to their plasticitystability capability and resonance …

This paper provides a comprehensive overview of clinical and imaging correlates in the
diagnosis and management of seizure disorders. Introduction: Seizure disorders, also …

Machine learning has opened up the opportunity for understanding how the brain works. In
this paper, functional magnetic resonance imaging (fMRI) data are analyzed with reduced …

Recently, the advancements in neuroscience studies captured the attention to find the
activation pattern and functional connectivity of the brain regions through functional …