When a sound field is sampled by a finite number of microphones, the upper-frequency range of the recorded content is affected by spatial aliasing. The frequency beyond which aliasing-induced artifacts occur is related to the distance between a microphone and its nearest neighbors. In this study, ambisonics signals of order N=7 are encoded from simulated recordings made by virtual spherical microphone arrays of varying characteristics (radius, sampling scheme and sampling grid order) using diffuse-field equalized encoding matrices. These aliased stimuli were then compared to unaliased stimuli of order N=7. Results showed that the aliasing-induced artifacts were not perceived on music samples, whatever the sampling grid order, probably due to the benefits of the diffuse-field equalization.