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. 2022 Sep 28;42(39):7442–7453. doi: 10.1523/JNEUROSCI.0259-22.2022

Table 3.

LME model of prediction accuracies and amplitude and latency of the TRF peaks in function of speech rate for the acoustic modela

Rate
Rate2
β CI (95%) p β CI (95%) p
Prediction accuracy 7.61 × 10–3 ±1.59 × 10–3 <0.001 −3.28 × 10–4 ±8.41 × 10–5 <0.001
Spectrogram p1 TRF amplitude 3.95 × 10–2 ±8.00 × 10–3 <0.001 −1.45 × 10–3 ±4.20 × 10–4 <0.001
TRF latency 1.02 × 10–3 ±5.35 × 10–4 <0.001 Does not improve AIC
p2 TRF amplitude −6.64 × 10–3 ±1.77 × 10–3 <0.001 Does not improve AIC
TRF latency −9.81 × 10–5 ±7.55 × 10–4 NS Does not improve AIC
Acoustic edges p1 TRF amplitude 2.33 × 10–2 ±1.05 × 10–2 <0.001 −1.33 × 10–3 ±5.54 × 10–4 <0.001
TRF latency 1.05 × 10–3 ±4.58 × 10–4 <0.001 Does not improve AIC
p2 TRF amplitude −3.92 × 10–3 ±1.83 × 10–3 <0.001 Does not improve AIC
TRF latency 2.37 × 10–3 ±2.84 × 10–3 NS Does not improve AIC

aEvery line indicates a different model. p1, first peak; p2, second peak.