What is it about?
Alpha-synuclein induced degeneration of the midbrain SNc dopaminergic neurons causes PD. Rodent studies demonstrate that nigrostriatal dopamine stimulates pallidal neurons which, via the topographical pallidocortical pathway, regulate cortical activity and functions. ML algorithms construct a model based on empirical data to make predictions on subsequent data. The accuracy of the predictive results indicate that nigrostriatal dopamine depletion increases global EEG spectral synchronization in wake, NREM sleep, and REM sleep. The EEG changes can be exploited by ML to identify SNc lesions at a high accuracy.
Featured Image
Photo by Bioscience Image Library by Fayette Reynolds on Unsplash
Why is it important?
Using machine learning, it may be possible to detect PD at an early stage during sleep.
Read the Original
This page is a summary of: Machine Learning Identifies a Rat Model of Parkinson’s Disease via Sleep-Wake Electroencephalogram, Neuroscience, February 2023, Elsevier,
DOI: 10.1016/j.neuroscience.2022.11.035.
You can read the full text:
Contributors
The following have contributed to this page
