Review Paper: Reporting Practices for Task fMRI Studies - Archive ouverte HAL Access content directly
Journal Articles Neuroinformatics Year : 2022

Review Paper: Reporting Practices for Task fMRI Studies

(1) , (2) , (1) , (1) , (1) , (1) , (1)
1
2

Abstract

What are the standards for the reporting methods and results of fMRI studies, and how have they evolved over the years? To answer this question we reviewed 160 papers published between 2004 and 2019. Reporting styles for methods and results of fMRI studies can differ greatly between published studies. However, adequate reporting is essential for the comprehension, replication and reuse of the study (for instance in a meta-analysis). To aid authors in reporting the methods and results of their task-based fMRI study the COBIDAS report was published in 2016, which provides researchers with clear guidelines on how to report the design, acquisition, preprocessing, statistical analysis and results (including data sharing) of fMRI studies (Nichols et al. in Best Practices in Data Analysis and Sharing in Neuroimaging using fMRI, 2016). In the past reviews have been published that evaluate how fMRI methods are reported based on the 2008 guidelines, but they did not focus on how task based fMRI results are reported. This review updates reporting practices of fMRI methods, and adds an extra focus on how fMRI results are reported. We discuss reporting practices about the design stage, specific participant characteristics, scanner characteristics, data processing methods, data analysis methods and reported results.
Fichier principal
Vignette du fichier
Review paper_reporting practices for fMRI studies_Acaretal_Neuroinformatics.pdf (1.47 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inserm-03800029 , version 1 (11-10-2022)

Identifiers

Cite

Freya Acar, Camille Maumet, Talia Heuten, Maya Vervoort, Han Bossier, et al.. Review Paper: Reporting Practices for Task fMRI Studies. Neuroinformatics, 2022, ⟨10.1007/s12021-022-09606-2⟩. ⟨inserm-03800029⟩
22 View
4 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More