Spectral-edited MRS can improve the resolution of coupled signals from low-concentration metabolites, for example GABA, glutathione, lactate, and 2-hydroxyglutarate. These compounds are involved in multiple physiological processes, and their improved detection allows for exciting clinical applications in neurology, psychiatry, and oncology. However, spectral editing is also very sensitive to experimental instabilities and requires great attention to detail during acquisition, data processing, and spectral modeling. This lecture provides a brief introduction to J-difference editing, presents the most promising clinical applications, and discusses the roadblocks on the way to everyday use of spectral edited MRS in a clinical context.