There is provided a method for simulating at least one wet electroencephalogram (EEG) signal from at least one dry EEG signals, comprising: receiving at least one dry EEG signal measured by dry EEG electrode(s) applied to locations on a head of a patient corresponding to at least one of temporal lobe or frontal lobe, computing at least one simulated wet EEG signal by applying a trained statistical model based on at least one dry EEG signal, the at least one simulated wet EEG signal simulating wet EEG signals measured by a wet EEG electrode applied to at least one location corresponding to at least one of: central, parietal lobe, and occipital lobe, and providing the at least one simulated wet EEG signal for adjusting feedback of a neurofeedback treatment applied by a neurofeedback device.