Understanding Brain Disorders Through EEG and AI
A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Radiobiology and Nuclear Medicine".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 26
Special Issue Editors
Interests: EEG; fMRI; neurological disorders; computational neuroscience; machine learning; deep learning; brain connectivity
Interests: EEG; neuroimaging; brain connectivity; neuropsychology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Brain disorders such as ADHD, Alzheimer’s, Parkinson’s disease, and other neurological conditions significantly impact cognitive and motor functions, leading to memory loss, impaired decision making, and movement disorders. If left undiagnosed or untreated, these conditions can progress, causing severe disability, reduced quality of life, and increased healthcare burdens.
This Special Issue, "Understanding Brain Disorders Through EEG and AI", focuses on leveraging machine learning and deep learning to analyze electroencephalography (EEG) signals for the early diagnosis and prognosis of brain disorders. EEG, with its high temporal resolution, serves as a non-invasive biomarker, revealing altered brain activity patterns linked to neurological dysfunctions. AI-driven models enhance EEG signal interpretation, enabling automated classification, real-time monitoring, and predictive analytics for personalized interventions.
We invite original research and review articles showcasing AI-EEG integration for early detection, neurophysiological insights, and clinical applications, aiming to improve diagnosis, treatment, and patient outcomes.
Dr. Debashis Das Chakladar
Prof. Dr. Giuseppe Augusto Chiarenza
Dr. Foteini Liwicki
Guest Editors
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Keywords
- EEG
- ADHD
- Alzheimer’s
- Parkinson’s
- neurological disorders
- machine learning
- deep learning
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