Comparative Analysis of Methods for Calculating the Interactions Between the Human Brain Regions Based on Resting-State FMRI Data to Build Long-Term Cognitive Architectures

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

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

Abstract

In this work, we compared many different methods proposed for calculating the functional interaction of brain regions based on resting-state fMRI data. We compared them according to the criterion of the stability of the results to small changes in the parameters of both the methods themselves and the input data including different levels of noise. By stability, here we mean that small changes in the parameters and level of noise will lead to small changes in the obtained estimates of the interaction. Since fMRI has a temporal resolution of about 2 s, here we focused on long-term architectures (400 s or more). Our study revealed that measures of Correlation and Coherence families show slightly better values for sustainability. This is in a good agreement with the result obtained earlier on synthetic fMRI data when evaluating medium-strength connections, that may be characteristic of resting-state.

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
Pages380-390
Number of pages11
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

  • Effective connectomes
  • fMRI
  • Functional connectomes
  • Resting state

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