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Rachael D. Seidler

Researcher at University of Florida

Publications -  201
Citations -  13710

Rachael D. Seidler is an academic researcher from University of Florida. The author has contributed to research in topics: Spaceflight & Motor learning. The author has an hindex of 53, co-authored 179 publications receiving 11585 citations. Previous affiliations of Rachael D. Seidler include Arizona State University & Veterans Health Administration.

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Striatal Denervation Pattern Predicts Levodopa Effects on Sequence Learning in Parkinson's Disease

TL;DR: It is demonstrated that the spatial pattern of nigrostriatal dopaminergic denervation predicts medication responsiveness for motor sequence learning.
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Longitudinal MRI-visible perivascular space (PVS) changes with long-duration spaceflight

TL;DR: In this article , the effects of spaceflight on perivascular spaces (PVSs) within the brain, which are believed to facilitate fluid drainage and brain homeostasis, were evaluated.
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Altered cerebral perfusion in response to chronic mild hypercapnia and head-down tilt Bed rest as an analog for Spaceflight

TL;DR: In this article, the effects of head-down tilt bed rest on cerebral perfusion during a prolonged stay on the International Space Station (ISS) were examined. And the authors found that the SANS group experienced a greater reduction in perfusion than the non-SANS group (p =.05, 95% CI:-0.19 to 16.11, d=1.01, large effect).
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Effects of Spaceflight Stressors on Brain Volume, Microstructure, and Intracranial Fluid Distribution.

TL;DR: The results enhance the understanding of the underlying mechanisms of spaceflight-induced brain changes, which is critical for promoting astronaut health and performance, and found asymmetric lateral ventricle enlargement in the SANS group.
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Trunk-Assisted Prehension: Specification of Body Segments With Imposed Temporal Constraints

TL;DR: It is shown that when temporal demand is increased for a trunk-assisted prehensile task, the arm plays a larger role than the trunk in the transport of the hand to the object and the data suggest that the arm participates in the fine accuracy control of the reach, whereas the trunk does not.