title: Longitudinal fMRI analysis: A review of methods.
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.
authors.affiliation: Martha Skup, Division of Biostatistics, Yale University School of Public Health, Yale Station, P.O. Box 206510, New Haven, CT 06520, USA,  martha.skup@yale.edu.
authors.forename: Martha
authors.initials: M
authors.lastname: Skup