Table 5 Spatial overlap between identified individual RSNs with sampling module and templates in different datasets
From: HAFNI-enabled largescale platform for neuroimaging informatics (HELPNI)
#1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | |
|---|---|---|---|---|---|---|---|---|---|---|
Baltimore | 0.38 ± 0.09 | 0.30 ± 0.10 | 0.29 ± 0.10 | 0.35 ± 0.06 | 0.26 ± 0.06 | 0.36 ± 0.08 | 0.21 ± 0.06 | 0.29 ± 0.07 | 0.24 ± 0.07 | 0.25 ± 0.06 |
Beijing | 0.39 ± 0.11 | 0.32 ± 0.13 | 0.34 ± 0.13 | 0.39 ± 0.09 | 0.31 ± 0.10 | 0.43 ± 0.11 | 0.29 ± 0.08 | 0.31 ± 0.10 | 0.27 ± 0.07 | 0.29 ± 0.08 |
Berlin | 0.36 ± 0.06 | 0.31 ± 0.10 | 0.28 ± 0.12 | 0.36 ± 0.08 | 0.24 ± 0.07 | 0.39 ± 0.08 | 0.26 ± 0.06 | 0.32 ± 0.05 | 0.28 ± 0.07 | 0.28 ± 0.06 |
Cambridge | 0.37 ± 0.08 | 0.34 ± 0.11 | 0.33 ± 0.12 | 0.37 ± 0.07 | 0.44 ± 0.12 | 0.41 ± 0.09 | 0.27 ± 0.06 | 0.32 ± 0.05 | 0.26 ± 0.06 | 0.26 ± 0.06 |
Cleveland | 0.34 ± 0.11 | 0.29 ± 0.13 | 0.25 ± 0.11 | 0.36 ± 0.05 | 0.20 ± 0.08 | 0.38 ± 0.08 | 0.24 ± 0.06 | 0.32 ± 0.08 | 0.26 ± 0.07 | 0.24 ± 0.06 |