Optimal and efficient designs for functional brain imaging experiments

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

Research output: Contribution to journalArticle

2 Citations (Scopus)

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

Fingerprint

Brain
Functional Magnetic Resonance Imaging
Hemodynamics
Imaging
Response Function
Imaging techniques
Neuroimaging
Optimal Experimental Design
Experiment
M-sequence
Describing functions
Experiments
Design of experiments
Estimate
Design
Brain imaging
Magnetic Resonance Imaging
Functional magnetic resonance imaging
Human
Pioneering

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

Cite this

Optimal and efficient designs for functional brain imaging experiments. / Cheng, Ching Shui; Kao, Ming-Hung; Phoa, Federick Kin Hing.

In: Journal of Statistical Planning and Inference, Vol. 181, 01.02.2017, p. 71-80.

Research output: Contribution to journalArticle

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