Partial directed coherence analysis of resting-state EEG signals for alcohol use disorder detection using machine learning.

Journal: Frontiers in neuroscience
Published Date: Jan 10, 2025

Abstract

INTRODUCTION: Excessive alcohol consumption negatively impacts physical and psychiatric health, lifestyle, and societal interactions. Chronic alcohol abuse alters brain structure, leading to alcohol use disorder (AUD), a condition requiring early diagnosis for effective management. Current diagnostic methods, primarily reliant on subjective questionnaires, could benefit from objective measures.

Authors

  • Ainul Khairiyah Mohd Nazri
    Maintenance Department, PETRONAS Gas Berhad, Kerteh, Terengganu, Malaysia.
  • Norashikin Yahya
    Centre for Intelligent Signal and Imaging Research (CISIR), Electrical and Electronic Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, Malaysia.
  • Danish M Khan
    Department of Data Science and Artificial Intelligence, School of Engineering and Technology, Sunway University, Petaling Jaya, Selangor, Malaysia.
  • Noor'Izni Zafirah Mohd Radzi
    Centre for Intelligent Signal and Imaging Research (CISIR), Electrical and Electronic Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, Malaysia.
  • Nasreen Badruddin
    Centre for Intelligent Signal and Imaging Research (CISIR), Electrical and Electronic Engineering Department, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, Malaysia.
  • Abdul Halim Abdul Latiff
    Centre for Subsurface Imaging, Department of Geosciences, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Perak, Malaysia.
  • Mohammed J Abdulaal
    Center of Excellence in Intelligent Engineering Systems (CEIES), Department of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia.

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