ENIGMA's simple seven: Recommendations to enhance the reproducibility of resting-state fMRI in traumatic brain injury

Karen Caeyenberghs*, Phoebe Imms, Andrei Irimia, Martin M. Monti, Carrie Esopenko, Nicola L. de Souza, Juan F. Dominguez D, Mary R. Newsome, Ekaterina Dobryakova, Andrew Cwiek, Hollie A.C. Mullin, Nicholas J. Kim, Andrew R. Mayer, Maheen M. Adamson, Kevin Bickart, Katherine M. Breedlove, Emily L. Dennis, Seth G. Disner, Courtney Haswell, Cooper B. HodgesKristen R. Hoskinson, Paula K. Johnson, Marsh Königs, Lucia M. Li, Spencer W. Liebel, Abigail Livny, Rajendra A. Morey, Alexandra M. Muir, Alexander Olsen, Adeel Razi, Matthew Su, David F. Tate, Carmen Velez, Elisabeth A. Wilde, Brandon A. Zielinski, Paul M. Thompson, Frank G. Hillary

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

3 Scopus citations

Abstract

Resting state functional magnetic resonance imaging (rsfMRI) provides researchers and clinicians with a powerful tool to examine functional connectivity across large-scale brain networks, with ever-increasing applications to the study of neurological disorders, such as traumatic brain injury (TBI). While rsfMRI holds unparalleled promise in systems neurosciences, its acquisition and analytical methodology across research groups is variable, resulting in a literature that is challenging to integrate and interpret. The focus of this narrative review is to address the primary methodological issues including investigator decision points in the application of rsfMRI to study the consequences of TBI. As part of the ENIGMA Brain Injury working group, we have collaborated to identify a minimum set of recommendations that are designed to produce results that are reliable, harmonizable, and reproducible for the TBI imaging research community. Part one of this review provides the results of a literature search of current rsfMRI studies of TBI, highlighting key design considerations and data processing pipelines. Part two outlines seven data acquisition, processing, and analysis recommendations with the goal of maximizing study reliability and between-site comparability, while preserving investigator autonomy. Part three summarizes new directions and opportunities for future rsfMRI studies in TBI patients. The goal is to galvanize the TBI community to gain consensus for a set of rigorous and reproducible methods, and to increase analytical transparency and data sharing to address the reproducibility crisis in the field.

Original languageEnglish
Article number103585
JournalNeuroImage: Clinical
Volume42
DOIs
StatePublished - Jan 2024

Funding

FundersFunder number
Leonard Davis School of Gerontology
University of Southern California
Center for Undergraduate Research in Viterbi Engineering
State Government of Victoria
Department of Jobs, Precincts and Regions
Australian Medical Research Institutes
Provost’s Undergrad Research
Tiny Blue Dot Foundation5 R01 GM 135420, R01-NS121107
Israel Innovation AuthoritySAP #4100077082
National Institutes of HealthR01 NS 100973, R01 AG 079957, RF1 AG 082201
VA R&D SSPIRER61NS120249
U.S. Department of DefenseW81XWH-18-1-0413
Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentK01HD083459

    Keywords

    • Functional MRI
    • Functional connectivity
    • Lesions
    • Reproducibility
    • Resting state fMRI
    • Traumatic brain injury

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