Table 1.

Segmental velocity data modeled as a combination of normal distributions

Anterograde
Mode centerA Max ± errorB Max ± errorC Max ± error
PTM-dsRED0.94 ± 0.072.09 ± 0.193.11 ± 0.38
PTM-3R0.90 ± 0.041.77 ± 0.092.69 ± 0.06**
PTM-4R0.78 ± 0.07**1.62 ± 0.13**2.49 ± 0.16**
Mode fractionA ModeB ModeC ModeErrorSigma ± error
PTM-dsRED0.540.340.12±0.050.24 ± 0.04
PTM-3R0.470.310.23±0.030.13 ± 0.02
PTM-4R0.420.390.19±0.050.12 ± 0.03
Retrograde
Mode centerA Max ± errorB Max ± errorC Max ± error
PTM-dsRED0.81 ± 0.031.78 ± 0.092.88 ± 0.14
PTM-3R0.69 ± 0.041.55 ± 0.09**2.52 ± 0.14**
PTM-4R0.71 ± 0.021.78 ± 0.103.04 ± 0.18
Mode fractionA ModeB ModeC ModeErrorSigma ± error
PTM-dsRED0.640.290.07±0.030.14 ± 0.01
PTM-3R0.550.350.10±0.040.11 ± 0.02
PTM-4R0.720.230.05±0.020.11 ± 0.01
  • Shown are the values of the central position and fraction of the modes parameters of a Gaussian mixture model with three components (A, B, and C) obtained using an expectation maximization algorithm (bold). Errors were determined as the SD of n = 1000 resampling with replacements bootstrapping procedure.

  • **Significant differences obtained from comparison of nonoverlapping confidence intervals with control group (LV-dsRED transduced neurons).