Complexity measures reveal age-dependent changes in electroencephalogram during working memory task

• Published in: Behavioural brain research Vol. 470; p. 115070
• Main Authors: Javaid, Hamad, Nouman, Muhammad, Cheaha, Dania, Kumarnsit, Ekkasit, Chatpun, Surapong
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 26.07.2024
• Subjects: Adult; Aged; Aging; Aging - physiology; Brain - physiology; Complexity; EEG; Electroencephalography; Female; Fractals; Humans; Machine Learning; Male; Memory, Short-Term - physiology; Middle Aged; Neuropsychological Tests; Support Vector Machine; Working memory task; Working memory task; Aging; EEG; Machine learning; Complexity

The alterations in electroencephalogram (EEG) signals are the complex outputs of functional factors, such as normal physiological aging, pathological process, which results in further cognitive decline. It is not clear that when brain aging initiates, but elderly people are vulnerable to be incipien...