A very simple, re-executable neuroimaging publication

Area of Science:

• Neuroimaging
• Computational Neuroscience
• Scientific Computing

Background:

• Reproducible research is fundamental to scientific integrity.
• The neuroimaging community has not fully adopted re-executable workflow standards.
• Lack of standardized re-executability hinders verification of neuroimaging findings.

Purpose of the Study:

• To establish a framework for verifiable and re-executable neuroimaging publications.
• To address the gap in re-executability within the neuroimaging research community.
• To provide clear procedures for defining neuroimaging analysis components.

Main Methods:

• Documenting procedures for defining data, workflow, and execution environments.
• Integrating supplemental materials with manuscripts for comprehensive documentation.
• Focusing on unambiguous definition of all analysis components.

Main Results:

• A set of documented procedures for creating verifiable neuroimaging publications.
• Clear guidelines for defining the data, workflow, execution environment, and results.
• A foundation for assessing the generalizability and reproducibility of neuroimaging findings.

Conclusions:

• Implementing these procedures enhances the re-executability of neuroimaging studies.
• Re-executable publications are essential for validating scientific conclusions.
• This work facilitates rigorous examination of neuroimaging research reproducibility.