Brain Imaging Analysis

Posted: 7 Mar 2014

See all articles by F. DuBois Bowman

F. DuBois Bowman

Columbia University - Biostatistics

Date Written: January 2014

Abstract

The increasing availability of brain imaging technologies has led to intense neuroscientific inquiry into the human brain. Studies often investigate brain function related to emotion, cognition, language, memory, and responses to numerous other external stimuli, as well as resting-state brain function. Brain imaging studies also attempt to determine the functional or structural basis for psychiatric or neurological disorders and to examine the responses of these disorders to treatment. Neuroimaging is a highly interdisciplinary field, and statistics plays a critical role in establishing rigorous methods to extract information and to quantify evidence for formal inferences. Neuroimaging data present numerous challenges for statistical analysis, including the vast amounts of data collected from each individual and the complex temporal and spatial dependencies present in the data. I briefly provide background on various types of neuroimaging data and analysis objectives that are commonly targeted in the field. I also present a survey of existing methods aimed at these objectives and identify particular areas offering opportunities for future statistical contribution.

Suggested Citation

Bowman, F. DuBois, Brain Imaging Analysis (January 2014). Annual Review of Statistics and Its Application, Vol. 1, Issue 1, pp. 61-85, 2014. Available at SSRN: https://ssrn.com/abstract=2405888 or http://dx.doi.org/10.1146/annurev-statistics-022513-115611

F. DuBois Bowman (Contact Author)

Columbia University - Biostatistics ( email )

722 West 168th Street
New York, NY 10032
United States

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