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

Table 4.

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

Rate
Rate2
β CI (95%) p β CI (95%) p
Prediction accuracy −4.59 × 10– 5 ±3.31 × 10– 5 0.0081 Does not improve AIC
Phoneme surprisal TRF amplitude 6.81 × 10– 3 ±2.82 × 10– 3 <0.001 Does not improve AIC
TRF latency 5.47 × 10– 3 ±4.20 × 10– 3 0.015 Does not improve AIC
Cohort entropy TRF amplitude 4.21 × 10– 3 ±3.07 × 10– 3 0.008 Does not improve AIC
TRF latency 3.59 × 10– 3 ±5.11 × 10– 3 NS Does not improve AIC
Word surprisal TRF amplitude 6.46 × 10– 3 ±3.09 × 10– 3 <0.001 Does not improve AIC
TRF latency −3.33 × 10– 3 ±5.38 × 10– 3 NS Does not improve AIC
Word frequency TRF amplitude 6.44 × 10– 3 ±3.00 × 10– 3 <0.001 Does not improve AIC
TRF latency −1.09 × 10– 4 ±3.06 × 10– 3 NS Does not improve AIC

aEvery line indicates a different model.