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Neuroimaging reporting checklists enhance study transparency and reproducibility. This review outlines their development, implementation, and impact on research quality.

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Research Methodology

Background:

  • Neuroimaging research faces challenges with transparency, reproducibility, and reliability.
  • Reporting checklists are being developed to standardize study design and execution reporting.

Purpose of the Study:

  • To define neuroimaging reporting checklists and discuss their development and implementation.
  • To review existing checklists, their effectiveness, and propose a development cycle.
  • To highlight the role of checklists in improving data quality, education, and leveraging AI.

Main Methods:

  • Review of current neuroimaging reporting checklists and their motivations.
  • Discussion of core values for checklist design: transparency, repeatability, data sharing, diversity, innovation.
  • Proposal of a development cycle and implementation steps for new checklists.

Main Results:

  • Neuroimaging reporting checklists are essential for improving research quality.
  • Checklists enhance data repositories, support education, and can be aided by AI.
  • Funding agencies and global collaborations are key to adoption.

Conclusions:

  • Adherence to and development of neuroimaging reporting checklists are crucial.
  • Checklists will ultimately increase the quality, transparency, and reproducibility of neuroimaging research.
  • Standardized reporting is vital for advancing brain science.