Exploring Correlation-Based Brain Networks with Adaptive Signed Random Walks

Roberto C. Sotero, Jose M. Sanchez-Bornot

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

Abstract

The human brain is a highly connected network with complex patterns of correlated and anticorrelated activity. Analyzing functional connectivity matrices derived from neuroimaging data can provide insights into the organization of brain networks and their association with cognitive processes or disorders. Common approaches, such as thresholding or binarization, often disregard negative connections, which may result in the loss of critical information. This study introduces an adaptive signed random walk (ASRW) model for analyzing correlation-based brain networks that incorporates both positive and negative connections. The model calculates transition probabilities between brain regions as a function of their activities and connection strengths, dynamically updating probabilities based on the differences in node activity and connection strengths at each time step. Results show that the classical random walk approach, which only considers the absolute value of connections, underestimates the mean first passage time (MFPT) compared to the proposed ASRW model. Our model captures a wide range of interactions and dynamics within the network, providing a more comprehensive understanding of its structure and function. This study suggests that considering both positive and negative connections, has the potential to offer valuable insights into the interregional coordination underlying various cognitive processes and behaviors.
Original languageEnglish
Title of host publicationProceedings - 2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2023
EditorsXiaoMing Zhao, Qingli Li, Lipo Wang
PublisherIEEE Xplore
Pages1-6
Number of pages6
ISBN (Electronic)979-8-3503-3075-5
ISBN (Print)979-8-3503-3076-2
DOIs
Publication statusPublished online - 2 Jan 2024

Publication series

NameProceedings - 2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2023

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Brain
  • Correlation networks
  • Random Walks
  • fMRI

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