DOI: 10.5176/2345-7813_CNN14.01

Authors: Vijay Mehtry, Nizamuddin Parvez, Haque Nizamie, Nityananda Pradhan


Abstract:

Introduction: Drug addictive behavior may emerge from the dynamic activity of entire neural networks rather than from any single brain structure. Drug addiction may be conceptualized as an adapted state-a new metastable regimen of brain functioning around altered homeostatic levels. Given the large opioid using population and the paucity of EEG studies in this patient group, this study was aimed to compare the EEG power spectrum of patients with opioid dependence and normal controls.
Methodology: 28 channel EEG recording was conducted on 15 patients with ICD 10 DCR diagnosis of Opioid dependence syndrome and 15 normal controls matched for age, sex, education and handedness. 30 second epoch was taken for computing power spectrum using MATLAB 7.12. Difference between the power spectral values between the two groups was obtained by independent t test.
Results: On socio-demographic variables, the two groups were well matched. Patients had increased power spectral values in almost all regions of the brain. The increase in power spectral values was more pronounced in frontal and temporal region.
Conclusion: Opioid being a neuronal activator increases the power spectral value and this effect is present over a wide region of brain.

Keywords: Electro-encephalography, Opioid Dependence, Power Spectrum

Price: $4.99

Loading Updating cart...
LoadingUpdating...