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Anders H. Andersen
Researcher at University of Kentucky
Publications - 73
Citations - 5866
Anders H. Andersen is an academic researcher from University of Kentucky. The author has contributed to research in topics: Functional magnetic resonance imaging & Dopaminergic. The author has an hindex of 34, co-authored 72 publications receiving 5426 citations. Previous affiliations of Anders H. Andersen include Purdue University.
Papers
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Journal ArticleDOI
Women at risk for AD show increased parietal activation during a fluency task
Charles D. Smith,Anders H. Andersen,Richard J. Kryscio,F. A. Schmitt,Mark S. Kindy,Lee X. Blonder,Malcolm J. Avison +6 more
TL;DR: Cognitively normal individuals at high risk for AD show increased brain activation in the left parietal region with letter fluency, a region adjacent to that observed by others using a recall task, which indicates disruption of functional circuits involving theleft parietal lobe in asymptomatic individuals at increased risk forAD.
Journal ArticleDOI
Digital ray tracing in two‐dimensional refractive fields
Anders H. Andersen,A. C. Kak +1 more
TL;DR: In this paper, a review of ray tracing in two-dimensional refractive index fields is presented, which does not include the techniques developed in optics and in ocean acoustics.
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How do negative emotions impair self-control? A neural model of negative urgency.
David S. Chester,Donald R. Lynam,Richard Milich,David K. Powell,Anders H. Andersen,C. Nathan DeWall +5 more
TL;DR: The results suggest that, among people whose negative emotions often lead to self-control failure, excessive reactivity of the brain's regulatory resources may be the culprit.
Journal ArticleDOI
Analysis of noise in phase contrast MR imaging.
Anders H. Andersen,J. E. Kirsch +1 more
TL;DR: Results show a progressively increased bias in the processed phase contrast image magnitude at slow flow rates due to contributions from inherent random noise, which is larger for complex difference processed images than for phase difference processing.
Journal ArticleDOI
Structure-seeking multilinear methods for the analysis of fMRI data
TL;DR: Multiway analysis of fMRI data from multiple runs of a bilateral finger-tapping paradigm was performed using the parallel factor (PARAFAC) model, and spatial and temporal response components were extracted and validated by comparison to results from traditional SVD/PCA analyses based on scenarios of unfolding into lower-order bilinear structures.