Optimization of blocked designs in fMRI studies

B. Maus, G.J.P. van Breukelen, R. Goebel, M.P.F. Berger

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Blocked designs in functional magnetic resonance imaging (fMRI) are useful to localize functional brain areas. A blocked design consists of different blocks of trials of the same stimulus type and is characterized by three factors: the length of blocks, i.e., number of trials per blocks, the ordering of task and rest blocks, and the time between trials within one block. Optimal design theory was applied to find the optimal combination of these three design factors. Furthermore, different error structures were used within a general linear model for the analysis of fMRI data, and the maximin criterion was applied to find designs which are robust against misspecification of model parameters.

Original languageEnglish
Pages (from-to)373-390
Number of pages18
JournalPsychometrika
Volume75
Issue number2
DOIs
Publication statusPublished - Jun 2010

Keywords

  • blocked design
  • fMRI
  • optimal design
  • efficiency
  • maximin
  • EVENT-RELATED FMRI
  • MULTIPLE TRIAL TYPES
  • MIXED EFFECTS MODELS
  • FUNCTIONAL MRI
  • TIME-SERIES
  • HEMODYNAMIC-RESPONSE
  • CORTICAL ACTIVATION
  • STATISTICAL-METHODS
  • EFFICIENT DESIGN
  • NOISE

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