| Title: | Dynamic Topological Subtype Analysis of Healthy Brain Activity |
| Journal: | Theoretical and Natural Science |
| Published: | 15 Jan 2025 |
| DOI: | https://doi.org/10.54254/2753-8818/2025.19914 |
| URL: | https://www.ewadirect.com/proceedings/tns/article/view/19914/pdf |
Publication 14893
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Abstract
The functional organization of the human brain exhibits certain heterogeneity; however, the topological subtype characteristics of brain networks in healthy populations have not been fully explored. This study, based on resting-state functional magnetic resonance imaging data from 48 healthy adults in the UK Biobank dataset, employs persistent homology analysis to identify and characterize different subtypes of brain network topology. By constructing individual functional connectivity matrices and extracting their zero-dimensional (connected components) and one-dimensional (circular structures) topological features, unsupervised clustering analysis revealed three brain network subtypes with distinct functional organizational characteristics: the mainstream subtype (52.1%) exhibited moderate network connectivity and moderate modularity; the high modularity subtype (27.1%) displayed the most persistent circular structures and the highest network segregation; the integrative subtype (20.8%) featured extensive functional connectivity but a simple topological structure. Further statistical analysis confirmed significant differences between these subtypes across all topological feature dimensions (p < 0.001). These findings, for the first time, reveal the heterogeneity of brain functional organization in healthy populations from a topological perspective, providing important evidence for constructing more accurate brain network models and developing individualized clinical applications.</p>
1 Author
- Jisong Sun
Enabling scientific discoveries that improve human health