Volume 7 -                   MEJDS (2017) 7: 62 | Back to browse issues page

XML Persian Abstract Print

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

farmani E, Shafiei B, Qaderi A. The study and comparison of Quantitative electro-encephalogram (QEEG) between stutterer and Non-stutterer. MEJDS. 2017; 7 :62-62
URL: http://jdisabilstud.ir/article-1-657-en.html
1- Isfahan University of Medical Sciences
2- University of Tabriz
Abstract:   (2415 Views)

Background and objective: Stuttering is a speech disorder in which the flow of speech is ruptured. Researchers have been studying the phenomenon for years. Valuable information can be gained from quantitative electro-encephalography (QEEG) as an efficient, non-invasive tool with little side effects. The purpose of this study was to compare EEG pattern in stutterers and non-stutterers.
Methods: This study was a descriptive analytical one. Purposive sampling was used to recruit 20 stutters and 20 non-stutters as participants. The research instruments were Stuttering Severity Instrument (SSI4) and Quantitative Electroencephalogram (QEEG) tests.  Independent samples t-test was used to analyze the data.
Results: Significant differences were found in peak frequency indicators (p<0.001), (p<0.001), coherence of waves in right hemisphere (p=0.030), asymmetry (p=0.025) and phase lag (p=0.035) in brain waves between two groups.
Conclusion: It can be concluded that brain wave pattern can be used as an indicator to identify the nature of stuttering. It can also be concluded that the impact of treatment on brain wave pattern is positive, leading to changes and improvements of stuttering.

Full-Text [PDF 637 kb]   (889 Downloads)    
Type of Study: Original Research Article | Subject: Rehabilitation
Received: 2016/04/25 | Accepted: 2016/09/5

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

Send email to the article author

© 2019 All Rights Reserved | Middle Eastern Journal of Disability Studies

Designed & Developed by : Yektaweb