Name
Abstract | ||
|---|---|---|
Functional connectomes computed from fMRI provide a means to characterize individual differences in the patterns of BOLD synchronization across regions of the entire brain. Using four resting-state fMRI datasets with a wide range of ages, we show that individual differences of the functional connectome are stable across 3 months to 1–2 years (and even detectable at above-chance levels across 3 years). Medial frontal and frontoparietal networks appear to be both unique and stable, resulting in high ID rates, as did a combination of these two networks. We conduct analyses demonstrating that these results are not driven by head motion. We also show that edges contributing the most to a successful ID tend to connect nodes in the frontal and parietal cortices, while edges contributing the least tend to connect cross-hemispheric homologs. Our results demonstrate that the functional connectome is stable across years and that high ID rates are not an idiosyncratic aspect of a specific dataset, but rather reflect stable individual differences in the functional connectivity of the brain. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.neuroimage.2019.02.002 | NeuroImage |
Field | DocType | Volume |
Neuroscience,Biology,Connectome,Entire brain,Genetics | Journal | 189 |
ISSN | Citations | PageRank |
1053-8119 | 6 | 0.49 |
References | Authors | |
14 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Corey Horien | 1 | 23 | 1.54 |
| Xilin Shen | 2 | 278 | 14.18 |
| Dustin Scheinost | 3 | 287 | 22.17 |
| R Todd Constable | 4 | 848 | 77.34 |