3 results match your criteria: "School of Kinesiology University of Michigan[Affiliation]"
J Am Heart Assoc
November 2024
Integrative Human Physiology Laboratory, Manning College of Nursing & Health Sciences University of Massachusetts Boston Boston MA USA.
Background: Black compared with White adults have a higher risk for left-ventricular hypertrophy and heart failure possibly due to the early onset of alterations in ventricular-vascular coupling (ie, arterial [] to ventricular elastance [] ratio) and wasted pressure effort (). Aerobic training preserves the coupling ratio (/) and attenuates , but whether this applies to Black adults is unknown. We hypothesized that Black rather than White adults would have greater training-induced improvements in the / and .
View Article and Find Full Text PDFBrain Sci
July 2019
Brain and Behavior Laboratory, School of Kinesiology University of Michigan, Ann Arbor, Michigan, MI 48109-2214, USA.
Dual-site transcranial magnetic stimulation to the primary motor cortex (M1) and dorsolateral prefrontal cortex (DLPFC) can be used to probe functional connectivity between these regions. The purpose of this study was to characterize the effect of DLPFC stimulation on ipsilateral M1 excitability while participants were at rest and contracting the left- and right-hand first dorsal interosseous muscle. Twelve participants were tested in two separate sessions at varying inter-stimulus intervals (ISI: 4, 5, 6, 7, 8, 9, 10, 11, 12, 15, and 20 ms) at two different conditioning stimulus intensities (80% and 120% of resting motor threshold).
View Article and Find Full Text PDFJ Neuroeng Rehabil
February 2014
Human Neuromechanics Laboratory, School of Kinesiology University of Michigan, Ann Arbor, MI 48109-2214, USA.
Background: Considerable effort has been devoted to mapping the functional and effective connectivity of the human brain, but these efforts have largely been limited to tasks involving stationary subjects. Recent advances with high-density electroencephalography (EEG) and Independent Components Analysis (ICA) have enabled study of electrocortical activity during human locomotion. The goal of this work was to measure the effective connectivity of cortical activity during human standing and walking.
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