2 results match your criteria: "Russia Federal Research Center of Fundamental and Translational Medicine[Affiliation]"
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
Novosibirsk State University, Novosibirsk, Russia Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Scientific Research Institute of Neurosciences and Medicine, Novosibirsk, Russia Federal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
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.
[Not Available].
Vavilovskii Zhurnal Genet Selektsii
May 2020
Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia Federal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia Novosibirsk State University, Novosibirsk, Russia.
The TRPM8 gene encodes the ion channel, which is a cold receptor in afferent neurons of the mammalian somatosensory system. We studied the frequency of haplotype distribution from six SNPs in the TRPM8 gene in Eurasian human populations, including Russians, Kazakhs and Chukchi. Four of the six SNPs are located in exon 7 (rs13004520, rs28901637, rs11562975, rs17868387), rs7593557 is in exon 11.
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