Optimal and efficient designs for functional brain imaging experiments

Ching Shui Cheng, Ming-Hung Kao, Federick Kin Hing Phoa

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This article concerns optimal experimental designs for neuroimaging studies in which the pioneering functional magnetic resonance imaging (fMRI) technology is used to investigate functions of the human brain. We develop analytical results for identifying designs that allow precise estimates of the contrasts between hemodynamic response functions (HRFs), each describing the effect of a mental stimulus over time. We also provide systematic methods for constructing optimal and very efficient designs, and show that fMRI designs obtained by relabeling the symbols of m-sequences can be very efficient in comparing the HRFs.

Original languageEnglish (US)
Pages (from-to)71-80
Number of pages10
JournalJournal of Statistical Planning and Inference
Volume181
DOIs
StatePublished - Feb 1 2017

Keywords

  • Circulant orthogonal array
  • De Bruijn sequence
  • Hadamard sequence
  • Schur optimality
  • Type 1 criterion

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Optimal and efficient designs for functional brain imaging experiments'. Together they form a unique fingerprint.

Cite this