Mobile EEG has become popular in investigating brain dynamics during gait in recent years. Within this development, new preprocessing pipelines have been introduced and improvised. The diversity of approaches, however, complicates comparisons across studies. To provide clarity, we reviewed studies combining mobile EEG with gait measurements to map the preprocessing pipelines employed in the field. Our analysis identified substantial heterogeneity in pipeline steps, their order, combinations, and the level of reporting detail. We visualized this heterogeneity as a map, tracing pathways from raw data to outcomes such as Power spectral density (PSD), Event-related spectral perturbations (ERSP), Event-related (de)-synchronization (ERD/ERS), and Corticomuscular coherence (CMC), along with a subsequent analysis highlighting unique pipelines. Notably, artifact rejection varied across studies in both the tools used and reporting practices. While differences in experimental paradigms can justify this variability, this challenges comparability across findings. These results emphasize the need for transparent reporting standards and jointly developed guidelines within the mobile EEG community.