Table 6.
p | X1 (%) HF cardiac | X2 (%) HF resp | X3 (%) LF cardiac | X4 (%) LF resp | [X1 X2 X3 X4] (%) | Affected voxels (%) |
---|---|---|---|---|---|---|
0.05 | 1.5±0.2 | 3.2±0.9 | 1.4±0.3 | 1.3±0.2 | 9.8±0.9 | 20.3±8.7 |
(0.05) | (1.5±0.2) | (3.3±0.8) | (1.2±0.3) | (1.2±0.2) | (9.6±0.8) | (19.7±8.7) |
0.01 | 1.7±0.3 | 4.3±1.3 | 1.7±0.6 | 1.6±0.4 | 12.5±1.0 | 7.3±4.6 |
(0.01) | (1.8±0.3) | (4.6±1.3) | (1.4±0.5) | (1.5±0.4) | (12.3±0.9) | (7.1 ±4.6) |
0.001 | 2.3±0.6 | 6.0±2.1 | 2.2±0.9 | 1.9±0.7 | 16.2±1.4 | 2.2±1.9 |
(0.001) | (2.3±0.5) | (6.5±2.1) | (1.7±0.8) | (1.7±0.7) | (15.9±1.0) | (2.2±1.9) |
Note: The columns refer to the type of physiological noise averaged over all subjects (X1. high-frequency cardiac waveform, X2: high-frequency respiratory waveform, X3: low-frequency cardiac waveform, X4: low-frequency respiratory waveform). The rows refer to different p values (uncorrected). The numbers without parenthesis refer to the optimized model using the low-frequency waveforms in this research, whereas the numbers in parenthesis refer to the low-frequency model of Chang et. al. (2009) and Bim et. al. (2008). The last column refers to the percentage of the voxels that are affected by all 4 regressors.