title: Multivariate pattern analysis of fMRI: the early beginnings.
abstract: In 2001, we published a paper on the representation of faces and objects in ventral temporal cortex that introduced a new method for fMRI analysis, which subsequently came to be called multivariate pattern analysis (MVPA). MVPA now refers to a diverse set of methods that analyze neural responses as patterns of activity that reflect the varying brain states that a cortical field or system can produce. This paper recounts the circumstances and events that led to the original study and later developments and innovations that have greatly expanded this approach to fMRI data analysis, leading to its widespread application.
authors.affiliation: Center for Cognitive Neuroscience, Dartmouth College, Hanover, NH, USA. james.v.haxby@dartmouth.edu
authors.forename: James V
authors.initials: JV
authors.lastname: Haxby
mesh_terms: D001185:Artificial Intelligence; D001921:Brain / Q000502:physiology; D001931:Brain Mapping / Q000266:history / Q000379:methods; D049673:History, 20th Century; D049674:History, 21st Century; D007091:Image Processing, Computer-Assisted / Q000266:history* / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000266:history* / Q000379:methods*