Quantitative EEG features selection in the classification of attention and response control in the children and adolescents with attention deficit hyperactivity disorder.

Azadeh Bashiri,Masood Nosratabadi,Marjan Ghazisaeedi,Hamid Beigy,Behrouz A Savareh,Leila Shahmoradi,Sharareh R N Kalhori

doi:10.4155/fsoa-2017-0138

Abstract

Aim:Quantitative EEG gives valuable information in the clinical evaluation of psychological disorders. The purpose of the present study is to identify the most prominent features of quantitative electroencephalography (QEEG) that affect attention and response control parameters in children with attention deficit hyperactivity disorder.Methods:The QEEG features and the Integrated Visual and Auditory-Continuous Performance Test ( IVA-CPT) of 95 attention deficit hyperactivity disorder subjects were preprocessed by Independent Evaluation Criterion for Binary Classification. Then, the importance of selected features in the classification of desired outputs was evaluated using the artificial neural network.Results:Findings uncovered the highest rank of QEEG features in each IVA-CPT parameters related to attention and response control.Conclusion:Using the designed model could help therapists to determine the existence or absence of defects in attention and response control relying on QEEG.

Highlights

It consists of four main phases, including data acquisition from quantitative electroencephalography (QEEG) and Integrated Visual and Auditory-Continuous Performance Test (IVA-CPT), preprocessing, feature selection and features evaluation
The report of the analysis was a list of the most priority QEEG parameters which had been ranked based on their importance in the classification of each output
The present study focused on Attention deficit hyperactivity disorder (ADHD) and highlighted that the EEG patterns are different among ADHD samples

Summary

Objectives

Quantitative EEG gives valuable information in the clinical evaluation of psychological disorders. The purpose of the present study is to identify the most prominent features of quantitative electroencephalography (QEEG) that affect attention and response control parameters in children with attention deficit hyperactivity disorder.Methods: The QEEG features and the Integrated Visual and Auditory-Continuous Performance Test ( IVA-CPT) of 95 attention deficit hyperactivity disorder subjects were preprocessed by Independent Evaluation Criterion for Binary Classification.

Results

Discussion

Conclusion