jeanette mumford

Jeanette A Mumford, PhD
Research Assistant Professor
Department of Psychology
University of Texas at Austin

Office: 5.248 Seay Hall
Email: jeanette.mumford@gmail.com

Summary of my work

My work involves the statistical analysis of functional magnetic resonance imaging (fMRI) data. My current interests are in calculating power for group fMRI studies, connectivity analyses and functional based image segmentation.

Tools

• The fmripower tool! A matlab-based application for calulating power for future group fMRI experiments based on similar, older FSL anlayses.

Guides

• Mean centering continuous covariates: This webpage describes when mean centering continuous covariates has an impact on your contrast estimates and when it does not.
  
  
• Linear Contrast Use: This tutorial explains how linear contrasts work and how the resulting hypothesis tests may be misleading. The document also contains R code for recreating the illustrations on your own.
  
  
• Guide for Calculating Percent Change with Featquery: This guide describes how featquery calculates percent change and how for certain types of studies a different procedure is necessary to calculate interpretable percent changes.
  
  

Recent Talks

• 2010 UCLA Advanced Neuroimaging Summer School
  • Statistical modeling and Inference (for non-fMRI data)
  • Single subject modeling of fMRI data
  • Group modeling of fMRI data
  • Multiple testing and thresholding:Note that these slides are based off of the slides of Tom Nichols (with permission).
  • Percent signal change calculations
  • Setting up group design matrices, including description of orthogonalization.

• 2009 UCLA Advanced Neuroimaging Summer School
  • Statistical modeling and Inference (for non-fMRI data)
  • Single subject modeling of fMRI data
  • Group modeling of fMRI data
  • Multiple testing and thresholding:Note that these slides are based off of the slides of Tom Nichols (with permission).
  • Percent signal change calculation and power analysis
  • Setting up group design matrices, including description of orthogonalization.

• 2008 UCLA Advanced Neuroimaging Summer School
  • Statistical modeling and Inference (for non-fMRI data)
  • Single subject modeling of fMRI data
  • Group modeling of fMRI data
  • Multiple testing and thresholding:Note that these slides are based off of the slides of Tom Nichols (with permission).
  • Percent change calculation and power analysis

• 2007 UCLA Advanced Neuroimaging Summer School
  • Statistical modeling and Inference (for non-fMRI data)
  • Group modeling of fMRI data
  • Multiple testing and thresholding:Note that these slides are based off of the slides of Tom Nichols (with permission).
  • Percent change calculation and power analysis