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Article Dans Une Revue NeuroImage Année : 2020

The empirical replicability of task-based fMRI as a function of sample size

Han Bossier
  • Fonction : Auteur
Sanne Roels
  • Fonction : Auteur
Ruth Seurinck
  • Fonction : Auteur
Tobias Banaschewski
  • Fonction : Auteur
Gareth Barker
  • Fonction : Auteur
Arun Bokde
  • Fonction : Auteur
Erin Burke Quinlan
  • Fonction : Auteur
Sylvane Desrivières
  • Fonction : Auteur
Herta Flor
  • Fonction : Auteur
Antoine Grigis
  • Fonction : Auteur
Hugh Garavan
  • Fonction : Auteur
Penny Gowland
  • Fonction : Auteur
Andreas Heinz
  • Fonction : Auteur
Bernd Ittermann
  • Fonction : Auteur
Frauke Nees
  • Fonction : Auteur
Luise Poustka
  • Fonction : Auteur
Juliane Fröhner Dipl-Psych
  • Fonction : Auteur
Michael Smolka
  • Fonction : Auteur
Henrik Walter
  • Fonction : Auteur
Robert Whelan
  • Fonction : Auteur
Gunter Schumann
  • Fonction : Auteur
Beatrijs Moerkerke
  • Fonction : Auteur
Arun L.W. Bokde
  • Fonction : Auteur

Résumé

Replicating results (i.e. obtaining consistent results using a new independent dataset) is an essential part of good science. As replicability has consequences for theories derived from empirical studies, it is of utmost importance to better understand the underlying mechanisms influencing it. A popular tool for non-invasive neuroimaging studies is functional magnetic resonance imaging (fMRI). While the effect of underpowered studies is well documented, the empirical assessment of the interplay between sample size and replicability of results for task-based fMRI studies remains limited. In this work, we extend existing work on this assessment in two ways. Firstly, we use a large database of 1400 subjects performing four types of tasks from the IMAGEN project to subsample a series of independent samples of increasing size. Secondly, replicability is evaluated using a multi-dimensional framework consisting of 3 different measures: (un)conditional test-retest reliability, coherence and stability. We demonstrate not only a positive effect of sample size, but also a trade-off between spatial resolution and replicability. When replicability is assessed voxelwise or when observing small areas of activation, a larger sample size than typically used in fMRI is required to replicate results. On the other hand, when focussing on clusters of voxels, we observe a higher replicability. In addition, we observe variability in the size of clusters of activation between experimental paradigms or contrasts of parameter estimates within these.

Dates et versions

hal-04478339 , version 1 (26-02-2024)

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Citer

Han Bossier, Sanne Roels, Ruth Seurinck, Tobias Banaschewski, Gareth Barker, et al.. The empirical replicability of task-based fMRI as a function of sample size. NeuroImage, 2020, 212, pp.116601. ⟨10.1016/j.neuroimage.2020.116601⟩. ⟨hal-04478339⟩
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