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Experimental Design and Data Analysis for fMRI

  • Geoffrey K. Aguirre
Chapter

Abstract

Functional magnetic resonance imaging (fMRI) methods continue to evolve rapidly. Subtle experimental designs have been joined by more powerful data analysis methods to detect and interpret evoked changes in neural activity. Despite constant development, there are several core principles of fMRI methodology that can be used as a guide to understand both the current state of the field and whatever advance awaits tomorrow. This chapter concerns itself primarily with this core understanding, but considers several specific aspects of fMRI experiments. Along the way, the chapter also notes some of the specific challenges that exist in the fMRI studies of clinical populations, although a detailed consideration of these issues is contained in Chap. 22.

Keywords

Neural Activity Statistical Parametric Mapping Mental Operation Hemodynamic Response Function fMRI Experiment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of NeurologyHospital of the University of PennsylvaniaPhiladelphiaUSA

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