Article
Decoding Dystonia: unveiling neural patterns with interpretable EEG-Based Machine Learning
2025-09-17
Abstract excerpt
<title>Abstract</title> <p>Dystonia has a multifaceted and complex pathogenesis. Current diagnostic proce-dures, which focus primarily on clinical signs, may lack accuracy due to the variable presentationsof different dystonia types. There is a need for objective, interpretable, and non-invasive diagnostictools. This study aims to develop an interpretable electroencephalography (EEG)-basedmachine learning (ML) an...
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Identifiers and source
- Literature Corpus work
- 5541f8bc-27e4-51bf-9e85-1d39d5ef9521
- DOI
- 10.21203/rs.3.rs-7483388/v1
