During recent years, the integration between EEG and fMRI has been largely investigated due to their highly complementary characteristics, leading to different multimodal approaches recognised as promising new tools in different conditions, especially the post-stroke neurorehabilitation process, which strongly benefits from the recent advancements in BCI-NF. However, the use of fMRI has been deemed the main limitation due to its high cost, low portability and discomfort for the patient. This sparked the research for models completely based on the widely-available EEG which are capable of providing information about the simultaneous BOLD signal. These models, called fMRI-informed EEG models, are a promising technique which still needs to be explored in detail for the post-stroke neurorehabilitation.