In the last decade, the source and the functional meaning of motor variability have attracted
considerable attention in behavioral and brain sciences. This construct classically combined …

Motion artifacts hinder source-level analysis of mobile electroencephalography (EEG) data
using independent component analysis (ICA). iCanClean is a novel cleaning algorithm that …

Falls among older adults present a major public health challenge, causing significant
physical, psychological, and economic consequences. Exercise interventions are a proven …

Humans expend more energy walking on uneven terrain, but the amount varies across
terrains. Few experimental characterizations exist, each describing terrain qualitatively …

Accuracy of electroencephalography (EEG) source localization relies on the volume
conduction head model. A previous analysis of young adults has shown that simplified head …

The biomechanics of walking are far less understood for uneven terrain than flat or even
surfaces. This is due in part to a lack of ground reaction force and moment recordings from …

Introduction Walking in complex environments increases the cognitive demand of locomotor
control; however, our understanding of the neural mechanisms contributing to walking on …

Mobile brain imaging with high-density electroencephalography (EEG) can provide insight
into the cortical processes involved in complex human walking tasks. While uneven terrain is …

Falls among older adults present a major public health challenge, causing significant
physical, psychological, and economic consequences. Exercise interventions are a proven …

Aging is associated with declines in walking function. To understand these mobility declines,
many studies have obtained measurements while participants walk on flat surfaces in …