Author

Inna V. Feklicheva

South Ural State UniversityORCID 0000-0003-4378-1719Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Anton A. PashkoviD· 1 shared Ilya ZakharoviD· 1 shared Ivan DakhtiniD· 1 shared Julia Shmotina· 1 shared Mahmoud HassaniD· 1 shared Nadezhda Chipeeva· 1 shared Sergey B. MalykhiD· 1 shared Timofey AdamovichiD· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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1 shared paperNeuroscience

Anton A. PashkovORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintNov 4, 2024

EEG connectome-based predictive modeling of nonverbal intelligence level in healthy subjects

Anton A. Pashkov, Ivan Dakhtin, Inna V. Feklicheva…·Mahmoud Hassan

This study predicts nonverbal intelligence levels from EEG data using connectome-based modeling, finding significant variability in accuracy based on processing pipelines and highlighting the importance of alpha frequency bands and frontal-parietal regions.

DOI 10.1101/2024.11.04.621793

electronic health recordsmachine learning (classical)

𝕏 PostBluesky

NeuroscienceHuman Brain MappingPeer-reviewedSep 1, 2024

Task-specific topology of brain networks supporting working memory and inhibition

Timofey Adamovich, Viсtoria I. Ismatullina, Nadezhda Chipeeva…·Sergey B. Malykh

This study examines how working memory and inhibition are supported by distinct brain network configurations using EEG data from 195 participants, finding that working memory relies on distributed networks while inhibition depends on segregated ones.

5 citations

humanelectronic health records

𝕏 PostBluesky