A new approach for simultaneous dual-voxel J-difference spectral editing is described, that uses spatially selective spectral-editing pulses and Hadamard encoding. The theoretical framework for Spatial Hadamard Editing and Reconstruction for Parallel Acquisition (SHERPA) was developed, applying gradient pulses during the frequency selective editing pulses. SHERPA was simulated for GABA, tested in a two-compartment GABA phantom, and applied to the left and right hemispheres of ten normal subjects. SHERPA was successfully implemented with results in close agreement with conventional MEGA-PRESS scans. Compared to conventional single-voxel single-metabolite J-difference editing, two-fold acceleration is possible without significant loss of SNR using the SHERPA method.