Title: Neural Dynamics of Theta Wave in Children with Attention Deficit Hyper activity Disorder

Authors: Dr Kavita Yadav, Dr Yogesh Yadav, Dr Gunjan Solanki, Dr Kapil Gupta, Dr Jitendra Gupta, Dr Abhishek Saini, Dr Bhoopendra Patel, Dr Amitabh Dube

 DOI:  https://dx.doi.org/10.18535/jmscr/v6i3.125

Abstract

Attention deficit hyperactivity disorder having variable cluster of hyperactivity, impulsivity and inattention symptoms affecting the normal cognitive and behavioral function of an individual ADHD is characterized by decreased attention span and impulsivity.  EEG power were investigated in patients with attention deficit hyperactivity disorder (ADHD) diagnosed as per DSMV criteria. EEG were conducted for 30 ADHD children and 30 healthy controls of comparable age (8-9 yr) and sex. The EEG power tests include absolute power of theta, ADHD patients showed significantly higher theta absolute power, (p<0.005). This study supplants the tenet of maturational arrest of higher cognitive function of alertness and attention in ADHD.

Keywords: Attention deficit hyperactivity disorder (ADHD), Diagnostic and Statistical Manual (DSM V), Power spectrum density (PSD).

References

  1. Diagnostic and Statistical Manual of Mental Disorders. 2013. American Psychi-atric Publishing, Arlington, VA, USA.
  2. Biderman J, Faraone SV. Attention-deficit hyperactivity disorder. 2005; 366: 237–248. 
  3. Dulcan M. "Practice Parameter for the assessment and treatment of children, adolescent and adult with attention deficit hyperactivity disorder. American Academy of Child and Adolescent Psychiatry. Journal of the American Academy of Child and Adolescent psychiatry. 36-855-1215 doi: 10.1097/00004583-1997 10001-00007
  4. Bush, George. "Cingulate, Frontal, and Parietal Cortical Dysfunction in Attention-Deficit/Hyperactivity Disorder" Biological Psychiatry 69.12 (2011): 1160-167.
  5. Yeo BT, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, Hollinshead M, Roffman JL, Smoller JW, Zollei L, Polimeni JR, et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol. 2011;106 (3):1125–65.
  6. Maurer K, Dierks T. Atlas of Brain Mapping.Springer; 1991
  7. Mitchell DJ, McNaughton N, Flanagan D, Kirk IJ. Frontal-midline theta from the perspective of hippocampal “theta” Prog Neurobiol. 2008;86:156–185. 
  8. Nunez PL, Wingeier BM, Silberstein RB. Spatial-temporal structures of human alpha rhythms: theory, microcurrent sources, multiscale measurements, and global binding of local networks. Hum Brain Mapp. 2001;13:125–164. 
  9. Srinivasan R, Winter WR, Nunez PL. Source analysis of EEG oscillations using high-resolution EEG and MEG. Prog Brain Res. 2006;159:29–42.
  10. Onton J, Delorme A, Makeig S. Frontal midline EEG dynamics during working memory. 2005;27:341–356. 
  11. Debener S, Ullsperger M, Siegel M, Fiehler K, Von Cramon DY, Engel AK. Trial-by-trial coupling of concurrent electroencephalogram and functional magnetic resonance imaging identifies the dynamics of performance monitoring. J Neurosci. 2005;25:11730–11737. 
  12. Satterfield J, Cantwell D : CNS function and response to methylphenidate in hyperactive children.1974 Psychophar-macol Bull 10:36–37
  13. Jensen PS, Garcia JA, Glied S "Cost effectiveness of ADHD treatment: finding from the multimodal treatment study of children with ADHD" The American Journal of Psychiatry. 2000; 162, 1628-36 doi; 10.1176/appi.ajp 162-9, 1628.
  14. Hughes J.R., Jhon E.R. Conventional and Quantitative Electroencephalography in Psychiatry.1999 J Neuropsychiatry Clinical Neurosciences 111, 190-208.

Corresponding Author

Dr Yogesh Yadav

Assistant Professor, Department of Pediatrics

SMS Medical College, Jaipur, Rajasthan

Mobile No:  9660248328, Email: This email address is being protected from spambots. You need JavaScript enabled to view it.