2008/11/01 by Martin A. Lindquist · 2 citations
Biochemistry, Genetics and Molecular Biology · Mathematics · Medicine · Neuroscience · Psychology · #Advanced MRI Techniques and Applications #Advanced Neuroimaging Techniques and Applications #Artificial intelligence #Cognitive psychology #Computer science #Data science #Field (mathematics) #Functional Brain Connectivity Studies #Functional magnetic resonance imaging #Inference #Machine learning #Mathematics #Neuroimaging #Neuroscience #Psychology #Raw data #Statistical inference #Statistics #q-bio.NC #stat.ME
paper · pdf · doi:10.1214/09-sts282
published as Statistical Science 2008, Vol. 23, No. 4, 439-464 · Published in at http://dx.doi.org/10.1214/09-STS282 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
openalex publication_date 2008/11/01 · arxiv created 2009/06/19 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
In recent years there has been explosive growth in the number of neuroimaging studies performed using functional Magnetic Resonance Imaging (fMRI). The field that has grown around the acquisition and analysis of fMRI data is intrinsically interdisciplinary in nature and involves contributions from researchers in neuroscience, psychology, physics and statistics, among others. A standard fMRI study gives rise to massive amounts of noisy data with a complicated spatio-temporal correlation structure. Statistics plays a crucial role in understanding the nature of the data and obtaining relevant results that can be used and interpreted by neuroscientists. In this paper we discuss the analysis of fMRI data, from the initial acquisition of the raw data to its use in locating brain activity, making inference about brain connectivity and predictions about psychological or disease states. Along the way, we illustrate interesting and important issues where statistics already plays a crucial role. We also seek to illustrate areas where statistics has perhaps been underutilized and will have an increased role in the future.