Volume 6, Issue 21 (5-2012)                   etiadpajohi 2012, 6(21): 7-18 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Narimani M, Rajabi S. The Effect of EEG Biofeedback on the Reduction of Depression, Anxiety, Stress and Craving Beliefs in Individuals with Substance Abuse Disorder. etiadpajohi. 2012; 6 (21) :7-18
URL: http://etiadpajohi.ir/article-1-329-en.html
Mohaghegh Ardabili University
Abstract:   (12549 Views)
Abstract Introduction: The aim of this study is the investigation of EEG biofeedback (neurofeedback) on the reduction of depression, anxiety, stress and craving beliefs of individuals with substance abuse disorder. Method: Thirty-four males diagnosed as having substance abuse disorder (morphine addicted) were randomly assigned to experimental (N=16) and control (N=18) groups. The study used the pretest–posttest experimental and control group design. Subjects were assessed prior and subsequent to the training process on two tests of Craving Beliefs Questionnaire and Depression Anxiety Stress Scales. In this research, the analysis of variance with repeated measures was used. Findings: The results revealed that after twenty sessions of neurofeedback, a significant and clear improvement in anxiety, depression, and craving beliefs was observed, but, no significant deference between groups in stress observed. Conclusion: This study suggests that individuals with substance abuse disorder can learn to improve their anxiety, depression, and craving beliefs.
Full-Text [PDF 67 kb]   (2616 Downloads)    
Type of Study: Research | Subject: General
Received: 2014/05/17 | Accepted: 2014/05/17 | Published: 2014/05/17

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2021 CC BY-NC 4.0 | Scientific Quarterly Research on Addiction

Designed & Developed by : Yektaweb