Community‐organized resources for reproducible MRS data analysis

Brian J. Soher; William T. Clarke; Martin Wilson; Jamie Near; Georg Oeltzschner

doi:10.1002/mrm.29387

Community‐organized resources for reproducible MRS data analysis

Brian J. Soher, William T. Clarke, Martin Wilson, Jamie Near, Georg Oeltzschner^*

^*Corresponding author for this work

Psychology

Research output: Contribution to journal › Letter › peer-review

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Abstract

In 2021, the de facto gold-standard in vivo MRS analysis software, LCModel,1 transitioned from proprietary/paid to an open-source/free model. For 29 years, this software has fulfilled the demand for robust analysis workflows, while at the same time restricting access and dissuading continued development. We argue that this moment represents a golden opportunity for MRS developers and users to transition toward collaborative community-sourced workflows and datasets.

Original language	English
Pages (from-to)	1959-1961
Number of pages	3
Journal	Magnetic Resonance in Medicine
Volume	88
Issue number	5
Early online date	18 Jul 2022
DOIs	https://doi.org/10.1002/mrm.29387
Publication status	Published - Nov 2022

Bibliographical note

Funding Information:
All authors contributed equally to this letter.

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Cite this

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Community‐organized resources for reproducible MRS data analysis

Abstract

Bibliographical note

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