Table 2.
Mean and standard deviation of functional and structural graph metrics.
| Characteristic | Typically developing | Autism spectrum | p value |
|---|---|---|---|
| Functional (42 ASD vs 37 TD) | |||
| Clustering coefficient | 0.56 +/− 0.03 | 0.54 +/− 0.03 | 0.012⁎ |
| Characteristic path length | 1.92 +/− 0.05 | 1.89 +/− 0.05 | 0.02⁎ |
| Lambda | 2.18 +/− 0.12 | 2.13 +/− 0.13 | 0.070 |
| Gamma | 1.09 +/− 0.03 | 1.07 +/− 0.03 | 0.02⁎ |
| Small worldness | 2.00 +/− 0.10 | 1.98 +/− 0.12 | 0.420 |
| Modularity (Q) | 0.40 +/− 0.03 | 0.38 +/− 0.03 | 0.008⁎ |
| Structural (51 ASD vs 43 TD) | |||
| Clustering coefficient | 0.46 +/− 0.01 | 0.46 +/− 0.01 | 0.750 |
| Characteristic path length | 2.77 +/− 0.04 | 2.77 +/− 0.04 | 0.490 |
| Lambda | 5.44 +/− 0.23 | 5.39 +/− 0.19 | 0.270 |
| Gamma | 1.24 +/− 0.02 | 1.24 +/− 0.02 | 0.990 |
| Small worldness | 4.38 +/− 0.16 | 4.33 +/− 0.13 | 0.120 |
| Modularity (Q) | 0.68 +/− 0.01 | 0.67 +/− 0.01 | 0.030 |
Data is mean +/− standard deviation. p values were generated from two-sample t-tests performed on each metric averaged over a range of sparsity thresholds.
⁎
Survives FDR (q < 0.05).