Acoustic and Biomarkers (EEG) in Predicting Substance Use Relapse: A Need for New Education

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Nandita Chaube
Azizuddin Khan

Abstract

The current study aims to highlight specific voice parameters which could be seen more prominently in the cases of substance use relapse as compared to the non-relapse cases. The current study tries to present the possibilities of relapse in the cases of substance use based on voice samples. As literature suggests a strong correlation of neural markers in substance use, current study also considers EEG excerpt as a biomarker to postulate, strengthened and substantiate findings. The major aim of the study is to explore accuracy of Layered Voice Analysis (LVA) as an objective tool in predicting its clinical utility.

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How to Cite
Nandita Chaube, & Azizuddin Khan. (2024). Acoustic and Biomarkers (EEG) in Predicting Substance Use Relapse: A Need for New Education. Educational Administration: Theory and Practice, 30(3), 410–415. https://doi.org/10.53555/kuey.v30i3.1284
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Articles
Author Biographies

Nandita Chaube

Sr. Assistant Professor, Department of Behavioural Forensics, National Forensic Sciences University, Delhi Campus

Azizuddin Khan

Professor, Department of Humanities and Social Sciences, Indian Institute of Technology (IIT)-Bombay