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Analysis of Resting State EEG Signals of Adults with Attention-Deficit Hyperactivity Disorder

  • Simranjit Kaur
  • Sukhwinder Singh
  • Priti Arun
  • Damanjeet Kaur
Chapter
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 897)

Abstract

Electroencephalography (EEG) has emerged as a valuable tool to understand the neurophysiology of Attention-Deficit Hyperactivity Disorder (ADHD) brain. The purpose of this work is to examine whether linear and nonlinear electrophysiological measures of adults with ADHD differ from control group during a rest state. To verify this, in the present study, EEG signals of 23 adults with ADHD and 27 control adults are recorded during 3 min eyes-open and eyes-closed conditions. Linear features are extracted from EEG epochs which include power spectra of delta, theta, alpha, beta, and gamma frequency bands. Nonlinear features are measured in terms of entropies to unveil signal complexity. Linear analysis showed that the ADHD group has increased power for slow waves and reduced power for fast waves. Nonlinear analysis results in significant reduction in approximate entropy, sample entropy, and Shannon entropy of the ADHD adults in comparison to control adults.

Keywords

ADHD Adults EEG Entropy Rest state 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Simranjit Kaur
    • 1
  • Sukhwinder Singh
    • 1
  • Priti Arun
    • 2
  • Damanjeet Kaur
    • 1
  1. 1.University Institute of Engineering and Technology, Panjab UniversityChandigarhIndia
  2. 2.Government Medical College and HospitalChandigarhIndia

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