Name
Title | ||
|---|---|---|
Multi-Scale Factor Analysis of High-Dimensional Functional Connectivity in Brain Networks. |
Abstract | ||
|---|---|---|
We consider challenges in modeling and estimating high-dimensional functional connectivity in brain networks with a large number of nodes arranged in a hierarchical and modular structure. We develop a multi-scale factor analysis (MSFA) model which partitions the massive neuroimaging time series data defined over the brain networks into a finite set of regional clusters. To achieve further dimensio... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TNSE.2018.2869862 | IEEE Transactions on Network Science and Engineering |
Keywords | DocType | Volume |
Principal component analysis,Functional magnetic resonance imaging,Covariance matrices,Brain modeling,Correlation,Analytical models,Data models | Journal | 7 |
Issue | ISSN | Citations |
1 | IEEE Trans. Network Science and Engineering 7(1), 449 - 465, 2020 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chee-Ming Ting | 1 | 72 | 13.17 |
| Hernando Ombao | 2 | 98 | 18.00 |
| S. Hussain | 3 | 47 | 9.46 |
| Ahmad Zubaidi Abdul Latif | 4 | 0 | 0.34 |