This comprehensive review explores the advancements in machine learning algorithms in
the diagnosis of Parkinson's disease (PD) utilizing different biomarkers. It addresses the …

While resting state electroencephalography (EEG) provides relevant information on
pathological changes in Parkinson's disease, most studies focus on the eyes-closed EEG …

Parkinson's disease (PD) is a neurodegenerative disorder that causes changes in neurons,
behavior, and physiological structures. However, these changes are very subtle in the early …

Objective Pooling multisite resting-state electroencephalography (rsEEG) datasets may
introduce bias due to batch effects (ie, cross-site differences in the rsEEG related to …

Abstract Background Repetitive Transcranial Magnetic Stimulation (rTMS) and EEG-guided
neurofeedback techniques can reduce motor symptoms in Parkinson's disease (PD) …

Sleep deprivation (SD) has been shown to have a negative impact on alertness, as
evidenced by behavioral and electroencephalographic studies. Nevertheless, in prior …

Effective management of EEG artifacts is pivotal for accurate neurological diagnostics,
particularly in detecting early stages of Alzheimer's disease. This review delves into the …

Electroencephalography (EEG) signals represent the brain's electrical activity ob tained
through placing electrodes on the scalp. These recordings can be analyzed as curves …

Electroencephalography (EEG) signals represent the brain's electrical activity obtained
through placing electrodes on the scalp. These recordings can be analyzed as curves …

Parkinson's disease (PD) is one of the most common neurodegenerative disorders
worldwide. An electroencephalogram (EEG) has the potential to detect PD. PD is diagnosed …