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A recent expert consensus article recommends linear combination modeling (LCM) of edited MRS but does not give specific details regarding implementation. This study explores different modeling strategies to adapt LCM for GABA\u2010edited MRS. Sixty\u2010one medial parietal lobe GABA\u2010edited MEGA\u2010PRESS spectra from a recent 3\u2010T multisite study were modeled using 102 different strategies combining six different approaches to account for co\u2010edited macromolecules (MMs), three modeling ranges, three baseline knot spacings, and the use of basis sets with or without homocarnosine. The resulting GABA and GABA+ estimates (quantified relative to total creatine), the residuals at different ranges, standard deviations and coefficients of variation (CVs), and Akaike information criteria, were used to evaluate the models' performance. Significantly different GABA+ and GABA estimates were found when a well\u2010parameterized MM<jats:sub>3co<\/jats:sub> basis function was included in the model. The mean GABA estimates were significantly lower when modeling MM<jats:sub>3co<\/jats:sub>, while the CVs were similar. A sparser spline knot spacing led to lower variation in the GABA and GABA+ estimates, and a narrower modeling range\u2014only including the signals of interest\u2014did not substantially improve or degrade modeling performance. Additionally, the results suggest that LCM can separate GABA and the underlying co\u2010edited MM<jats:sub>3co<\/jats:sub>. Incorporating homocarnosine into the modeling did not significantly improve variance in GABA+ estimates. In conclusion, GABA\u2010edited MRS is most appropriately quantified by LCM with a well\u2010parameterized co\u2010edited MM<jats:sub>3co<\/jats:sub> basis function with a constraint to the nonoverlapped MM<jats:sub>0.93<\/jats:sub>, in combination with a sparse spline knot spacing (0.55\u2009ppm) and a modeling range of 0.5\u20134\u00a0ppm.<\/jats:p>","DOI":"10.1002\/nbm.4618","type":"journal-article","created":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T15:09:11Z","timestamp":1632496151000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":62,"title":["Comparison of linear combination modeling strategies for edited magnetic resonance spectroscopy at 3\u00a0T"],"prefix":"10.1002","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7148-292X","authenticated-orcid":false,"given":"Helge J.","family":"Z\u00f6llner","sequence":"first","affiliation":[{"name":"Russell H. 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