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Statistical differences between data were then determined by a two-tailed distribution Student's t-test of independent variables.
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All curves generated were normalized to the maximal response of isoproterenol to control for differences in expression between experiments; the data were then normalized to the maximal response of inhibition of the isoproterenol response by quinpirole.
Variances between pairs of triplicate data were then compared with an F test (R 'var.test' function); if the resulting p value was greater than 0.05, an unpaired Student's t test was performed, otherwise Welch's t test was used (R 't.test' function).
The results between the imputed and observed data were then compared [ 33].
Normalized data were then compared between groups (Supplementary Table 4).
Data were then epoched between 100 ms prestimulus and 400 ms poststimulus.
Data were then compared between groups to identify differences and similarities.
Data were then passband filtered between 0.5 45 Hz and epoched to 800-ms segments from stimulus onset; the period from stimulus onset to critical second syllable onset was used for baseline correction.
Data were then log2-transformed and normalized for between-array comparison using quantile normalization [ 18].
These data were then grouped and compared between the cohorts.
The data were then described and compared between the countries.
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