Statistics and Its Interface

Volume 3 (2010)

Number 2

Longitudinal fMRI analysis: A review of methods

Pages: 235 – 252

DOI: http://dx.doi.org/10.4310/SII.2010.v3.n2.a10

Author

Martha Skup (Division of Biostatistics, Yale University School of Public Health, New Haven, Conn., U.S.A.)

Abstract

Functional magnetic resonance imaging (fMRI) investigations of a longitudinal nature, where participants are scanned repeatedly over time and imaging data are obtained at more than one time-point, are essential to understanding functional changes and development in healthy and pathological brains. The main objective of this paper is to provide a brief summary of common longitudinal analysis approaches, develop an overview of fMRI by introducing how such data manifest, and explore the statistical challenges that arise at the intersection of these two techniques.

Keywords

functional magnetic resonance imaging (fMRI), longitudinal data analysis (LDA), repeated-measures fMRI, multi-session fMRI analysis

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