Jeanette A Mumford
Affiliation: University of Texas
- A power calculation guide for fMRI studiesJeanette 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...
- Detecting network modules in fMRI time series: a weighted network analysis approachJeanette 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...
- Engagement of large-scale networks is related to individual differences in inhibitory controlEliza 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...
- Deconvolving BOLD activation in event-related designs for multivoxel pattern classification analysesJeanette 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...
- Inhibitory motor control in response stopping and response switchingNaomi M Kenner
Department of Psychology, University of California, Los Angeles, Los Angeles, California 90095 1563, USA
J Neurosci 30:8512-8. 2010....
- Perceptual criteria in the human brainCorey 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...
- Human anterior and posterior hippocampus respond distinctly to state and trait anxietyAjay 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...
- 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...
- Common and dissociable prefrontal loci associated with component mechanisms of analogical reasoningSoohyun Cho
Department of Psychology, University of California, Los Angeles, Los Angeles, CA 90095 1563, USA
Cereb Cortex 20:524-33. 2010....
- Simple group fMRI modeling and inferenceJeanette 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...
- Modeling group fMRI dataJeanette 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...
- Decreasing ventromedial prefrontal cortex activity during sequential risk-taking: an FMRI investigation of the balloon analog risk taskTom 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...