Reporting of Resting-State Functional Magnetic Resonance Imaging Preprocessing Methodologies

Syed Hamza Waheed, Saeedeh Mirbagheri, Shruti Agarwal, Arash Kamali, Noushin Yahyavi-Firouz-Abadi, Ammar Chaudhry, Michael Digianvittorio, Sachin K. Gujar, Jay J. Pillai, Haris I. Sair

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

There has been a rapid increase in resting-state functional magnetic resonance imaging (rs-fMRI) literature in the past few years. We aim to highlight the variability in the current reporting practices of rs-fMRI acquisition and preprocessing parameters. The PubMed database was searched for the selection of appropriate articles in the rs-fMRI literature and the most recent 100 articles were selected based on our criteria. These articles were evaluated based on a checklist for reporting of certain preprocessing steps. All of the studies reported the temporal resolution for the scan and the software used for the analysis. Less than half of the studies reported physiologic monitoring, despiking, global signal regression, framewise displacement, and volume censoring. A majority of the studies mentioned the scanning duration, eye status, and smoothing kernel. Overall, we demonstrate the wide variability in reporting of preprocessing methods in rs-fMRI studies. Although there might be potential variability in reporting across studies due to individual requirements for a study, we suggest the need for standardizing reporting guidelines to ensure reproducibility.

Original languageEnglish (US)
Pages (from-to)663-668
Number of pages6
JournalBrain connectivity
Volume6
Issue number9
DOIs
StatePublished - Nov 2016

Keywords

  • analysis
  • preprocessing
  • reporting
  • resting-state fMRI
  • techniques
  • variability

ASJC Scopus subject areas

  • General Neuroscience

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