Publications by authors named "D A Lebedkin"

Article Synopsis
  • The study focuses on creating an artificial neural network to predict depression risk based on a motor control testing system, particularly using the stop-signal paradigm (SSP).
  • The SSP is commonly used in medical diagnostics for movement disorders but is hypothesized to help detect affective disorders like depression through behavioral metrics.
  • The research highlights how the neural network outperforms traditional statistical methods by integrating various performance indicators, aiming for more accurate predictions of depression.
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The article presents the results of a study aimed at finding covariates to account for the activity of implicit cognitive processes in conditions of functional rest of the subjects and during them being presented their own or someone else's face in a joint analysis of EEG experiment data. The proposed approach is based on the analysis of the dynamics of the facial muscles of the subject recorded on video. The pilot study involved 18 healthy volunteers.

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