• Users Online: 87
  • Print this page
  • Email this page
ORIGINAL ARTICLE
Year : 2022  |  Volume : 23  |  Issue : 2  |  Page : 129-132

Quantitative electroencephalography – A promising biomarker in children with attention deficit/hyperactivity disorder


1 Senior Resident, Department of Psychiatry, Drug De Addiction Centre, Lady Hardinge Medical College, New Delhi, India
2 Assistant Professor, Institute of Human Behaviour and Allied Sciences, New Delhi, India
3 Professor, Department of Neurology, Institute of Human Behaviour and Allied Sciences, New Delhi, India
4 Professor, Department of Psychiatry, Institute of Human Behaviour and Allied Sciences, New Delhi, India

Correspondence Address:
Dr. Mini Sharma
Department of Psychiatry, Drug De-Addiction Centre, Lady Hardinge Medical College, New Delhi
India
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/amh.amh_24_22

Rights and Permissions

Background: Attention-deficit/hyperactivity disorder (ADHD) is marked by inattention, hyperactivity, and impulsivity. Experimental studies have reported increased theta activity and reduced beta activity on electroencephalography (EEG), although theta wave tends to appear during meditative, drowsy, hypnotic, or sleeping states. Aims: We aimed to study EEG changes in children with significant severity of ADHD. Settings and Design: A cross-sectional study was designed for the children with ADHD presenting to the Child and Adolescent Psychiatry Outpatient Department (OPD) of IHBAS. Methodology: A total of 33 ADHD children in the age group of 5–12 years attending OPD were included in the study after qualifying the inclusion and exclusion criteria for the study. DSM-5 criteria were used to make the diagnosis of ADHD and severity was assessed using Conners' Rating Scale-Revised Parent short version. The children with more than 50% score on the Conners Scale were included in the study. The quantification of the recorded EEG was done using Fast Fourier Transformation by New Natus NeuroWorks computer software. Statistical Analysis: The data were analyzed using SPSS version 23.0. Results: Around 3/4th of participants in the study showed elevated theta: beta ratio results on qEEG. Conclusions: Although ADHD is marked by inattention, hyperactivity, and impulsivity, children with ADHD showed marked elevated theta: beta ratio indicating raised slow-wave changes in cortical activity, thus concluding quantitative EEG as a promising biomarker in children with ADHD.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed457    
    Printed9    
    Emailed0    
    PDF Downloaded17    
    Comments [Add]    

Recommend this journal