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

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Advanced Computing and Systems for Security

Part of the book series: Advances in Intelligent Systems and Computing ((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.

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Authors and Affiliations

  1. University Institute of Engineering and Technology, Panjab University, Sector 25, Chandigarh, India

    Simranjit Kaur, Sukhwinder Singh & Damanjeet Kaur

  2. Government Medical College and Hospital, Chandigarh, India

    Priti Arun

Authors
  1. Simranjit Kaur
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  2. Sukhwinder Singh
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  3. Priti Arun
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  4. Damanjeet Kaur
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Corresponding author

Correspondence to Sukhwinder Singh .

Editor information

Editors and Affiliations

  1. A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, West Bengal, India

    Rituparna Chaki

  2. Dipartimento di Scienze Ambientali, Informatica e Statistica, Università Ca’ Foscari Venezia, Mestre, Venice, Italy

    Agostino Cortesi

  3. Faculty of Computer Science, Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  4. Department of Computer Science and Engineering, University of Calcutta, Kolkata, West Bengal, India

    Nabendu Chaki

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Kaur, S., Singh, S., Arun, P., Kaur, D. (2019). Analysis of Resting State EEG Signals of Adults with Attention-Deficit Hyperactivity Disorder. In: Chaki, R., Cortesi, A., Saeed, K., Chaki, N. (eds) Advanced Computing and Systems for Security. Advances in Intelligent Systems and Computing, vol 897. Springer, Singapore. https://doi.org/10.1007/978-981-13-3250-0_5

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