Publications by authors named "Fabiola Sorpresi"
Article Synopsis
- This study explored differences in brain activity patterns between patients with Alzheimer's disease (ADMCI), Parkinson's disease (PDMCI), and healthy elderly individuals using resting state electroencephalography (rsEEG).
- Researchers found that the source activities of certain brain wave frequencies (alpha and delta) were significantly different in the ADMCI and PDMCI groups compared to healthy subjects, indicating distinct neural synchronization abnormalities.
- The findings suggest that these brain wave patterns could potentially help in diagnosing and understanding cognitive impairments, and future studies are needed to validate their clinical usefulness.
Article Synopsis
- The study examined how resting state electroencephalographic (rsEEG) rhythms may indicate brain arousal in different types of dementia: Alzheimer's (ADD), Parkinson's (PDD), and Lewy body (DLB) dementia.
- Data from 158 subjects, including healthy elderly individuals, revealed that patients showed significant differences in brain wave patterns, particularly in alpha and delta activities, compared to healthy individuals.
- The findings suggest that specific rsEEG markers can help distinguish between the types of dementia and may have future applications in clinical settings and drug discovery.
Objective: Here we test the hypothesis that cortical source mapping of resting state electroencephalographic (EEG) rhythms could characterize neurodegenerative disorders inducing cognitive impairment such as Parkinson's disease related dementia (PDD) and Alzheimer's disease (AD).
Methods: To address this issue, eyes-closed resting state EEG rhythms were recorded in 13 PDD, 20 AD, and 20 normal elderly (Nold) subjects. Age, gender, and education were carefully matched across the three groups.