model = 
<strong>Generalized linear mixed-effects model fit by PL</strong>

<strong>Model information:</strong>
    Number of observations            2132
    Fixed effects coefficients           4
    Random effects coefficients         24
    Covariance parameters                2
    Distribution                    Normal
    Link                            Identity
    FitMethod                       MPL   

<strong>Formula:</strong>
    bandpower ~ 1 + genotype*movement + (1 | trial)

<strong>Model fit statistics:</strong>
    AIC       BIC      LogLikelihood    Deviance
    625.91    659.9    -306.96          613.91  
<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                                      Estimate    SE          tStat      DF      pValue        Lower      Upper   
    {'(Intercept)'                   }        -1.2776     0.074863    -17.065    2128    2.6704e-61    -1.4244     -1.1307
    {'genotype_WT'                   }        0.83883      0.10268     8.1691    2128    5.2674e-16    0.63746      1.0402
    {'movement_headfixed'            }         1.0333      0.21843     4.7307    2128    2.3846e-06    0.60497      1.4617
    {'genotype_WT:movement_headfixed'}        -1.1727       0.2403    -4.8802    2128    1.1383e-06     -1.644    -0.70148
<strong>Random effects covariance parameters:</strong>
Group: trial (24 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0.19631 
Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.27381