Brain Cognitive Architectures Mapping for Neurosurgery: Resting-State fMRI and Intraoperative Validation

M. Sharaev, T. Melnikova-Pitskhelauri, A. Smirnov, A. Bozhenko, V. Yarkin, A. Bernshtein, E. Burnaev, P. Petrov, D. Pitskhelauri, V. Orlov, I. Pronin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Despite the importance of experimental confirmation, the ability of wide range of brain mapping methods to discover brain cognitive architectures in most studies can’t be evaluated directly. Only in rare cases, when due to medical need, it is possible to conduct experiments during neurosurgical operations, is it possible to assess the accuracy of certain approaches. In this paper we evaluate, how well we can reveal brain cognitive architectures structure by established and novel approaches based on fMRI data, with special focus on resting-state fMRI, and how well these findings match Direct Cortical Stimulation mapping data, which is a gold standard in neurosurgery. We illustrate our approach on three representative examples with different motor and cognitive architectures mapping. We found a significant correspondence between predicted maps and intraoperative data for both brain networks. This indicates that resting-state fMRI could be used as an additional source of information for neurosurgical planning, though its applicability to exploring and describing the whole variety of brain architectures for research purposes should be investigated in future.

Original languageEnglish
Title of host publicationBrain-Inspired Cognitive Architectures for Artificial Intelligence
Subtitle of host publicationBICA*AI 2020 - Proceedings of the 11th Annual Meeting of the BICA Society
EditorsAlexei V. Samsonovich, Ricardo R. Gudwin, Alexandre da Simões
PublisherSpringer Science and Business Media Deutschland GmbH
Pages466-471
Number of pages6
ISBN (Print)9783030655952
DOIs
Publication statusPublished - 2021
Event11th Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA*AI 2020 - Natal, Brazil
Duration: 10 Nov 202014 Nov 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1310
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference11th Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA*AI 2020
Country/TerritoryBrazil
CityNatal
Period10/11/2014/11/20

Keywords

  • Brain mapping
  • Cognitive architectures
  • Constrained ICA
  • Neurosurgery
  • Resting-state fMRI

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