Publications by authors named "Zelenskih M"
Development of a neural network for diagnosing the risk of depression according to the experimental data of the stop signal paradigm.
Vavilovskii Zhurnal Genet Selektsii
December 2022
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.