There is mounting criticism regarding the validity of blood oxygenation level dependent contrast functional magnetic resonance imaging (BOLD-fMRI) studies. The main sources of error in BOLD-fMRI are pixel misalignment and physiological noise. One of the widely practiced tactics to ameliorate motion related fictitious activation is post-processing motion correction algorithms. Nevertheless, the validity of activation data following application of such algorithms has not been totally confirmed. In this article, the practical pitfalls of BOLD-fMRI and potential correction algorithms are concisely discussed.