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BluishO: Machine learning reveals differential effects of depression and anxiety on reward and punishment processing
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Description: The aim of this project was to evaluate changes in reward and punishment processing at the neurophysiological level depending on the depression/anxiety vs control group membership in a non-clinical population. We used machine learning (ML) to classify individuals with high severity of depression symptoms vs controls and individuals with high severity of anxiety symptoms vs controls based on the frequency (delta, theta), and feedback valence (positive, negative).
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The source code is avaliable at https://github.com/abelowska/bluishO under the MIT license.
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