Pilot Study of Distinct Graphs Models in Analysis of Brain Aging in Resting-State Functional Connectivity Networks

M. A. G. Carvalho, M. A. G. Carvalho, M. A. G. Carvalho, R. Frayne, R. Frayne, R. Frayne, R. Frayne

2025

Abstract

Graphs have been used successfully to represent and analyze brain networks for many decades. Such structural and functional studies are important for revealing interactions between distinct areas of the brain that, for example, are associated with the performance of a specific task or the onset of a cognitive disorder like dementia. In this pilot study, resting-state functional magnetic resonance imaging data were acquired in a sex-balanced sample of 10 young (20.1±2.1 years) and 10 old (65.6±0.4 years), presumed healthy, adults. We examined the effects of age on whole-brain resting-state functional connectivity (RSFC) networks. We examined two main graph modeling approaches to analyze RSFC networks. These approaches employ different strategies or graph models for thresholding over the complete network or examining changes in graph density. We computed and compared one graph metric, the modularity, that was derived from the RSFC network graph models. Considering the need for a model that must preserve the network’s connectivity, strategies that use spanning trees as seeds to gradually increase the graph’s density seem more appropriate to represent brain networks.

Paper Citation

in Harvard Style

Carvalho M. and Frayne R. (2025). Pilot Study of Distinct Graphs Models in Analysis of Brain Aging in Resting-State Functional Connectivity Networks. In Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOIMAGING; ISBN 978-989-758-731-3, SciTePress, pages 348-356. DOI: 10.5220/0013261200003911

in Bibtex Style

@conference{bioimaging25,
author={M. Carvalho and R. Frayne},
title={Pilot Study of Distinct Graphs Models in Analysis of Brain Aging in Resting-State Functional Connectivity Networks},
booktitle={Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOIMAGING},
year={2025},
pages={348-356},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013261200003911},
isbn={978-989-758-731-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIOIMAGING
TI - Pilot Study of Distinct Graphs Models in Analysis of Brain Aging in Resting-State Functional Connectivity Networks
SN - 978-989-758-731-3
AU - Carvalho M.
AU - Frayne R.
PY - 2025
SP - 348
EP - 356
DO - 10.5220/0013261200003911
PB - SciTePress