Jeanette A Mumford

Summary

Affiliation: University of Texas
Country: USA

Publications

  1. pmc A power calculation guide for fMRI studies
    Jeanette A Mumford
    Department of Psychology, University of Texas at Austin, 1 University Station A8000 Austin, TX, 78712 0187, USA
    Soc Cogn Affect Neurosci 7:738-42. 2012
  2. pmc Detecting network modules in fMRI time series: a weighted network analysis approach
    Jeanette A Mumford
    Department of Psychology, University of Texas at Austin, Austin, TX 78712 0187, USA
    Neuroimage 52:1465-76. 2010
  3. pmc Engagement of large-scale networks is related to individual differences in inhibitory control
    Eliza Congdon
    Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
    Neuroimage 53:653-63. 2010
  4. pmc Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analyses
    Jeanette A Mumford
    Department of Psychology, University of Texas, Austin, TX 78759, USA
    Neuroimage 59:2636-43. 2012
  5. pmc Inhibitory motor control in response stopping and response switching
    Naomi M Kenner
    Department of Psychology, University of California, Los Angeles, Los Angeles, California 90095 1563, USA
    J Neurosci 30:8512-8. 2010
  6. doi request reprint Perceptual criteria in the human brain
    Corey N White
    Department of Psychology, Imaging Research Center, University of Texas at Austin, Austin, Texas 78712, USA
    J Neurosci 32:16716-24. 2012
  7. doi request reprint Human anterior and posterior hippocampus respond distinctly to state and trait anxiety
    Ajay B Satpute
    Department of Psychology, University of California, Los Angeles, USA
    Emotion 12:58-68. 2012
  8. pmc Independence in ROI analysis: where is the voodoo?
    Russell A Poldrack
    Department of Psychology, University of California, Los Angeles, CA 90095 1563, USA
    Soc Cogn Affect Neurosci 4:208-13. 2009
  9. doi request reprint Common and dissociable prefrontal loci associated with component mechanisms of analogical reasoning
    Soohyun Cho
    Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095 1563, USA
    Cereb Cortex 20:524-33. 2010
  10. pmc Simple group fMRI modeling and inference
    Jeanette A Mumford
    Department of Psychology, University of California, Los Angeles, CA 90095, USA
    Neuroimage 47:1469-75. 2009

Detail Information

Publications12

  1. pmc A power calculation guide for fMRI studies
    Jeanette A Mumford
    Department of Psychology, University of Texas at Austin, 1 University Station A8000 Austin, TX, 78712 0187, USA
    Soc Cogn Affect Neurosci 7:738-42. 2012
    ..This guide provides tips on carrying out power analyses, including obtaining pilot data, defining a region of interest and other choices to help create reliable power calculations...
  2. pmc Detecting network modules in fMRI time series: a weighted network analysis approach
    Jeanette A Mumford
    Department of Psychology, University of Texas at Austin, Austin, TX 78712 0187, USA
    Neuroimage 52:1465-76. 2010
    ..Last, we illustrate how WVCNA modules can be used in a network analysis to find connections between regions of the brain and show that it produces reasonable results...
  3. pmc Engagement of large-scale networks is related to individual differences in inhibitory control
    Eliza Congdon
    Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
    Neuroimage 53:653-63. 2010
    ..The results also highlight the usefulness of using dimensionality reduction to increase the power to detect brain/behavior correlations in individual differences research...
  4. pmc Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analyses
    Jeanette A Mumford
    Department of Psychology, University of Texas, Austin, TX 78759, USA
    Neuroimage 59:2636-43. 2012
    ..This provides the potential for fMRI studies that allow simultaneous optimization of both univariate and MVPA approaches...
  5. pmc Inhibitory motor control in response stopping and response switching
    Naomi M Kenner
    Department of Psychology, University of California, Los Angeles, Los Angeles, California 90095 1563, USA
    J Neurosci 30:8512-8. 2010
    ....
  6. doi request reprint Perceptual criteria in the human brain
    Corey N White
    Department of Psychology, Imaging Research Center, University of Texas at Austin, Austin, Texas 78712, USA
    J Neurosci 32:16716-24. 2012
    ..This work advances our understanding of the neural correlates of decision flexibility and adjustments of behavioral bias...
  7. doi request reprint Human anterior and posterior hippocampus respond distinctly to state and trait anxiety
    Ajay B Satpute
    Department of Psychology, University of California, Los Angeles, USA
    Emotion 12:58-68. 2012
    ..The findings provide several lines of evidence for functional differentiation of anterior and posterior hippocampal involvement across state and trait components of anxiety in humans...
  8. pmc Independence in ROI analysis: where is the voodoo?
    Russell A Poldrack
    Department of Psychology, University of California, Los Angeles, CA 90095 1563, USA
    Soc Cogn Affect Neurosci 4:208-13. 2009
    ..regarding the implausibility of these high correlations are incorrect. We conclude with some recommendations to help limit the potential problems caused by non-independence...
  9. doi request reprint Common and dissociable prefrontal loci associated with component mechanisms of analogical reasoning
    Soohyun Cho
    Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095 1563, USA
    Cereb Cortex 20:524-33. 2010
    ....
  10. pmc Simple group fMRI modeling and inference
    Jeanette A Mumford
    Department of Psychology, University of California, Los Angeles, CA 90095, USA
    Neuroimage 47:1469-75. 2009
    ..In such cases, we find that group mean inferences will be valid under the null hypothesis and will have nearly optimal sensitivity under the alternative...
  11. pmc Modeling group fMRI data
    Jeanette A Mumford
    Department of Psychology, University of California Los Angeles, Los Angeles, CA 90095, USA
    Soc Cogn Affect Neurosci 2:251-7. 2007
    ..This article motivates the need for a mixed effects model and outlines the different stages of the mixed model used to analyze group fMRI data. Different modeling options and their impact on analysis results are also described...
  12. pmc Decreasing ventromedial prefrontal cortex activity during sequential risk-taking: an FMRI investigation of the balloon analog risk task
    Tom Schonberg
    Imaging Research Center, University of Texas at Austin Austin, TX, USA
    Front Neurosci 6:80. 2012
    ..A better understanding of how neural activity changes with risk-taking behavior in the task offers insight into the potential neural mechanisms driving naturalistic risk-taking...