Author

Anastasia A. Skalnaya

Research Institute of Emergency CareORCID 0000-0001-5938-9194Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexei E. OssadtchiiD· 2 shared Mikhail Vladimirovich SinkiniD· 2 shared Alexey VoskoboinikoviD· 1 shared Anna ShtekleyniD· 1 shared Anna V MakarovaiD· 1 shared Artur PetrosyaniD· 1 shared Daria F. KleevaiD· 1 shared Dmitrii Sukhinin· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersNeuroscience

Alexei E. OssadtchiORCID

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2 papers

Recent·Most cited

NeuroscienceBrain TopographyPeer-reviewedOct 3, 2025

Qualitative and Quantitative Comparative Analysis of Common Normal Variants and Physiological Artifacts in MEG and EEG

Daria F. Kleeva, Mikhail Vladimirovich Sinkin, Anna Shtekleyn…·Alexei E. Ossadtchi

This study compares MEG and EEG in capturing physiological patterns and artifacts, finding MEG provides more spatially focused signals while EEG is more susceptible to high-amplitude artifacts.

2 citations

imagingstatistical model

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NeuroscienceJournal of Neural EngineeringPeer-reviewedNov 10, 2022

Speech decoding from a small set of spatially segregated minimally invasive intracranial EEG electrodes with a compact and interpretable neural network

Artur Petrosyan, Alexey Voskoboinikov, Dmitrii Sukhinin…·Alexei E. Ossadtchi

This paper decodes speech from minimally invasive EEG electrodes using a compact neural network, achieving 55-70% accuracy with few channels.

22 citations

humanelectronic health records

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