The quantification of the effect of substance abuse on brain behavior based on electroencephalogram signals: A comprehensive review.

N Marvi, J Haddadnia - Journal of Fundamentals of Mental …, 2022 - search.ebscohost.com
Introduction: Substance abuse has become a significant health problem for individuals and
society. This study aimed to investigate the effects of substance abuse on brain waves …

Non-Invasive Brain-Computer Interfaces: a New Perspective on the Assessment and Classification of Individuals with Methamphetamine Addiction

G Zhan, H Su, P Wang, J Wang, H Jiang… - SN Comprehensive …, 2023 - Springer
Methamphetamine addiction is a brain disease that causes abnormalities in the structure
and function of the brain. EEG, a common signal acquired based on the noninvasive brain …

Excessive avoidance bias towards uncertain faces in non-clinical social anxiety individuals

Y Kou, H Xing, R Zheng, Y Wu, S Feng, F Zou… - Journal of Anxiety …, 2024 - Elsevier
Previous survey studies have consistently shown a strong link between social anxiety and
intolerance for uncertainty. However, this association lacks empirical validation from …

Identification of Methamphetamine Abusers Can Be Supported by EEG-Based Wavelet Transform and BiLSTM Networks

H Zhou, J Zhang, J Gao, X Zeng, X Min, H Zhan… - Brain Topography, 2024 - Springer
Methamphetamine (MA) is a neurological drug, which is harmful to the overall brain
cognitive function when abused. Based on this property of MA, people can be divided into …

کمی سازی اثر سوء مصرف مواد بر رفتار مغز بر اساس سیگنال های الکتروانسفالوگرام: یک بررسی جامع

N Marvi, J Haddadnia - مجله اصول بهداشت روانی, 2022‎ - jfmh.mums.ac.ir
مقدمه: سوء مصرف مواد به یک معضل بهداشتی مهم برای افراد و جامعه تبدیل شده است. این مطالعه با هدف
بررسی اثرات سوء مصرف مواد بر امواج مغزی انجام شد. مواد و روش‌ها: مقالات مورد استفاده به‌طور …