Author

Dmitrii Altukhov

AIRI - Artificial Intelligence Research InstituteORCID 0000-0003-2792-7853Unclaimed 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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Assay:electronic health records· 3 Approach:statistical model· 3 Research Focus:cell-cell communication· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Alexei E. OssadtchiiD· 2 shared Karim JerbiiD· 2 shared Annalisa PascarellaiD· 1 shared Anne-Lise SaiveiD· 1 shared Arthur DehganiD· 1 shared Daphné Bertrand-Dubois· 1 shared Daria F. KleevaiD· 1 shared David Meunier AiD· 1 shared

Activity by Year

2017-2023 · 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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3 papers

Recent·Most cited

NeuroscienceNeuroImagePeer-reviewedAug 22, 2023

PSIICOS projection optimality for EEG and MEG based functional coupling detection

Dmitrii Altukhov, Daria F. Kleeva, Alexei E. Ossadtchi

The paper demonstrates the optimality of the PSIICOS projection for suppressing spatial leakage while retaining zero-phase functional coupling information in EEG and MEG data.

5 citations

electronic health recordsstatistical model

𝕏 PostBluesky

NeuroscienceNeuroImagePeer-reviewedJun 6, 2020

NeuroPycon: An open-source Python toolbox for fast multi-modal and reproducible brain connectivity pipelines

David Meunier A, Annalisa Pascarella, Dmitrii Altukhov…·Karim Jerbi

NeuroPycon provides a Python toolkit for reproducible brain connectivity analysis by integrating neuroimaging tools into a unified framework with parameter files for replication.

36 citations

electronic health recordsstatistical model

𝕏 PostBluesky

NeurosciencebioRxivPreprintApr 20, 2017

Power and shift invariant detection of dynamically coupled networks (PSIICOS) from non-invasive MEG data

Alexei E. Ossadtchi, Dmitrii Altukhov, Karim Jerbi

The paper introduces PSIICOS, a method to detect dynamically coupled networks from MEG data by analyzing interacting topographies and their temporal profiles.

DOI 10.1101/129155

electronic health recordsstatistical model

𝕏 PostBluesky