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

<strong>Model information:</strong>
    Number of observations             222
    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
    -63.848    -43.432    37.924           -75.848 
<strong>Fixed effects coefficients (95% CIs):</strong>
    Name                                      Estimate     SE         tStat       DF     pValue        Lower       Upper   
    {'(Intercept)'                   }          -1.2349    0.11034     -11.192    218    2.8664e-23     -1.4524     -1.0175
    {'genotype_WT'                   }         -0.43662    0.15083     -2.8947    218     0.0041806     -0.7339    -0.13934
    {'movement_headfixed'            }          0.50218    0.31344      1.6021    218       0.11057    -0.11559      1.1199
    {'genotype_WT:movement_headfixed'}        -0.079606    0.34646    -0.22977    218       0.81849    -0.76245     0.60324
<strong>Random effects covariance parameters:</strong>
Group: trial (24 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        0.28605 
Group: Error
    Name                        Estimate
    {'sqrt(Dispersion)'}        0.17238