Selection of Functionally Homogeneous Human Brain Regions for Functional Connectomes Building Based on fMRI Data

Stanislav Kozlov, Alexey Poyda, Vyacheslav Orlov, Maksim Sharaev, Vadim Ushakov

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

Abstract

In the current work we focused on the problem of identifying the mechanism of interaction of neural networks in the human brain in cognitive processes. An important step in solving this problem is to identify functionally homogeneous regions of the brain. In this paper, we present two methods which are needed to identify these regions and build maps of areas of the brain that work stable in time. We tested the developed methods on experimental resting-state fMRI data and showed that the brain areas identified with the proposed methods have greater functional homogeneity compared to established anatomical and functional brain atlases and thus could be considered more suitable for further connectome calculation.

Original languageEnglish
Title of host publicationAdvances in Cognitive Research, Artificial Intelligence and Neuroinformatics - Proceedings of the 9th International Conference on Cognitive Sciences, Intercognsci-2020
EditorsBoris M. Velichkovsky, Pavel M. Balaban, Vadim L. Ushakov
PublisherSpringer Science and Business Media Deutschland GmbH
Pages709-719
Number of pages11
ISBN (Print)9783030716363
DOIs
Publication statusPublished - 2021
Event9th International Conference on Cognitive Sciences, Intercognsci 2020 - Moscow, Russian Federation
Duration: 10 Oct 202016 Oct 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1358 AIST
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference9th International Conference on Cognitive Sciences, Intercognsci 2020
Country/TerritoryRussian Federation
CityMoscow
Period10/10/2016/10/20

Keywords

  • FMRI data
  • Functional connectome
  • Homogenous regions
  • Regions of interest

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