Author

Maxim Sharaev

Skolkovo Institute of Science and TechnologyORCID 0000-0002-5670-2891Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:electronic health records· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Maria BoykoiD· 2 shared Alexander Ledovsky· 1 shared Anna B. RebreikinaiD· 1 shared Anna Y. MorozovaiD· 1 shared Dmitry SenkoiD· 1 shared Ekaterina AntipushinaiD· 1 shared Elena StekolshchikovaiD· 1 shared Galina V. PortnovaiD· 1 shared

Activity by Year

2021-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersNeuroscience

Maria BoykoORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

White matter lipidome alterations in the schizophrenia brain

Dmitry Senko, Olga Efimova, Maria Osetrova, Nikolay A. Anikanov, Maria Boyko, Maxim Sharaev, Anna Y. Morozova, Yana Zorkina, М. А. Кислов, Georgiy P. Kostyuk, Elena Stekolshchikova, Philipp Khaitovich

The paper analyzes lipidome changes in white matter of schizophrenia patients and identifies alterations in myelin-forming and mitochondrial lipid classes.

Schizophrenia · Dec 26, 2024Peer-reviewedNeuroscience

Comparative analysis of Pearson and Canonical correlation-based functional connectivity matrices for neuroimaging classification tasks

Ekaterina Antipushina, Maria Boyko, Ruslan Kalimullin, Nikolay Kotoyants, Maxim Sharaev

This study compares Pearson and Canonical Correlation-based functional connectivity matrices for classifying schizophrenia and autism spectrum disorder using fMRI data.

bioRxiv · Apr 23, 2024 · PreprintNeuroscience

A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography (ALICE)

Gurgen A. Soghoyan, Alexander Ledovsky, Maxim Nekrashevich, Olga Martynova, Ирина Сергеевна Поликанова, Galina V. Portnova, Anna B. Rebreikina, Olga Sysoeva, Maxim Sharaev

The paper introduces ALICE, a toolbox and crowdsourcing platform for automatic labeling of EEG independent components using machine learning and expert input.

Frontiers in Neuroinformatics · Dec 2, 2021Peer-reviewedNeuroscience