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Kate Fissell

Researcher at University of Pittsburgh

Publications -  9
Citations -  2623

Kate Fissell is an academic researcher from University of Pittsburgh. The author has contributed to research in topics: Prefrontal cortex & Brain mapping. The author has an hindex of 8, co-authored 9 publications receiving 2507 citations.

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Conflict monitoring versus selection-for-action in anterior cingulate cortex

TL;DR: Functional magnetic resonance imaging was used to measure brain activation during performance of a task where, for a particular subset of trials, the strength of selection-for-action is inversely related to the degree of response conflict, providing evidence in favour of the conflict-monitoring account of ACC function.
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Elevated striatal and decreased dorsolateral prefrontal cortical activity in response to emotional stimuli in euthymic bipolar disorder: no associations with psychotropic medication load

TL;DR: No relationship between medication load and abnormal neural activity in bipolar individuals suggests that the findings may reflect pathophysiologic mechanisms of the illness rather than medication confounds, and future studies should examine whether this pattern of abnormal neuralactivity could distinguish bipolar from unipolar depression.
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The change of the brain activation patterns as children learn algebra equation solving

TL;DR: This finding suggests that adolescents' brain responses are more plastic and change more with practice, and is integrated in a cognitive model that predicts both the behavioral and brain imaging results.
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Fiswidgets: a graphical computing environment for neuroimaging analysis.

TL;DR: A graphical computing environment, Functional Imaging Software Widgets (fiswidgets), is described, which provides a desktop style framework into which 100 subcomponents from a number of widely used fMRI analysis software packages are incorporated, an open-source, extensible environment available for reuse and modification by other software developers.
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Predicting the practice effects on the blood oxygenation level-dependent (BOLD) function of fMRI in a symbolic manipulation task

TL;DR: This paper shows that the base-level activation learning in the ACT-R theory can predict the change of the BOLD response in practice in a left prefrontal region reflecting retrieval of information.