Name
Title | ||
|---|---|---|
Individual Resting-State Brain Networks enabled by Massive Multivariate Conditional Mutual Information. |
Abstract | ||
|---|---|---|
Individual-level resting-state networks (RSNs) based on resting-state fMRI (rs-fMRI) are of great interest due to evidence that network dysfunction may underlie some diseases. Most current rs-fMRI analyses use linear correlation. Since correlation is a bivariate measure of association, it discards most of the information contained in the spatial variation of the thousands of hemodynamic signals wi... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TMI.2019.2962517 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Correlation,Picture archiving and communication systems,Time series analysis,Mutual information,Functional magnetic resonance imaging,Reliability,Biomedical imaging | Journal | 39 |
Issue | ISSN | Citations |
6 | 0278-0062 | 1 |
PageRank | References | Authors |
0.35 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Padmavathi Sundaram | 1 | 1 | 0.35 |
| Martin Luessi | 2 | 1 | 0.35 |
| M Bianciardi | 3 | 122 | 10.60 |
| Steven Stufflebeam | 4 | 1 | 0.35 |
| Matti Hämäläinen | 5 | 160 | 14.05 |
| Victor Solo | 6 | 464 | 93.21 |