Igor pro version 6

Patch clamp data were analyzed using the software Igor Pro Version 6.12 (Wavemetrics, Lake Oswego, OR, United States) and custom-written routines. Linear leak subtraction was done off-line and voltages were corrected by subtracting a liquid junction potential (LJP) of 27.8 mV for the three-solution setting (Neher, 1992 ). Steady-state current-voltage (I/V) relations were calculated by averaging I_Ca during the last ms of the 100 ms depolarizing pulse. Voltage-gated Ca²⁺ currents (I_Ca) of a given genotype were variable within SG neurons from a particular cochlear location but after statistical tests did not show systematic changes between apical or basal halves. Therefore, I_Ca data were pooled for the whole cochlear length for a given genotype and age.

All NMR spectra were processed and analyzed by NMRPipe [22 (link)] and NMRView [23 (link)]. The nonlinear least-squares analysis of the NMR titration data was performed using IGOR Pro Version 6.3 (WaveMetrics, Inc., Lake Oswego, OR).

All sessions involving freely moving animals were visually scored using a 4-s epoch resolution, and power spectra were determined as previously described by Wimmer et al. (11 (link)). Whenever an abnormal discharge was present or the behavioral state was unclear, the epoch was scored as an artifact corresponding to the closest behavioral state and was omitted for any spectral analysis. For any 4-s epoch to be included in the spectral time course, it had to be preceded and followed by another epoch belonging to the same behavioral state excluding artifacts. A vigilance state file and a spectral file (FFT, 0.75 to 90 Hz with 0.25-Hz steps) were exported from Somnologica for every 4-s epoch and for every recording session. Under the head-fixed condition, scoring was based on combined EEG/EMG/LFP data and involved the selection of consolidated non-REM sleep bouts ≥45 s, excluding transitional periods to REM sleep or waking. Power spectra were calculated with a 4-s window resolution. Scoring of EEG/LFP/EMG signals was performed using Igor Pro version 6.3 (WaveMetrics Inc.) customized semiautomated routines.

The results are reported as the mean ± SEM. Significance levels are denoted using asterisks (*P < 0.05, **P < 0.01 and ***P < 0.001). Boxplots indicate the median value (middle black line), the 25th and 75th percentiles (box), and the highest and lowest values (whiskers), with the black cross denoting the mean.
Unless otherwise stated, we used Student's t test for equal means for all pairwise comparisons. If an equality of variances F test gave P < 0.05, we employed the unequal variances t test. Individual data sets were tested using a one‐sample t test. For multiple comparisons, pairwise comparisons were carried out if one‐way ANOVA suggested this at the P < 0.05 significance level. Equal or unequal variances (Welch) ANOVA was used depending on Bartlett's test for equal variances. For data that were not normally distributed, we used the Kruskal–Wallis test, as stated. Multiple pairwise comparisons were corrected post hoc using the method of Bonferroni–Dunn. Non‐parametric tests were always used in parallel with parametric tests, and were in agreement with respect to significance, although, occasionally, they gave a different significance level. Statistical tests were performed in Igor Pro, version 6.37 (WaveMetrics Inc.).