Striving toward translation: strategies for reliable fMRI measurement.

Journal Article (Review;Journal Article)

fMRI has considerable potential as a translational tool for understanding risk, prioritizing interventions, and improving the treatment of brain disorders. However, recent studies have found that many of the most widely used fMRI measures have low reliability, undermining this potential. Here, we argue that many fMRI measures are unreliable because they were designed to identify group effects, not to precisely quantify individual differences. We then highlight four emerging strategies [extended aggregation, reliability modeling, multi-echo fMRI (ME-fMRI), and stimulus design] that build on established psychometric properties to generate more precise and reliable fMRI measures. By adopting such strategies to improve reliability, we are optimistic that fMRI can fulfill its potential as a clinical tool.

Full Text

Duke Authors

Cited Authors

  • Elliott, ML; Knodt, AR; Hariri, AR

Published Date

  • September 2021

Published In

Volume / Issue

  • 25 / 9

Start / End Page

  • 776 - 787

PubMed ID

  • 34134933

Pubmed Central ID

  • PMC8363569

Electronic International Standard Serial Number (EISSN)

  • 1879-307X

International Standard Serial Number (ISSN)

  • 1364-6613

Digital Object Identifier (DOI)

  • 10.1016/j.tics.2021.05.008

Language

  • eng