2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2019
DOI: 10.1109/embc.2019.8856762
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Electrocortical activity changes in response to unpredictable trip perturbations induced by a split-belt treadmill

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Cited by 10 publications
(12 citation statements)
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“…There was also evidence that the PPC is involved in challenging gaits such as dual-task walking [ 48 , 49 ]. An et al reported that unpredictable perturbations increased cortical activity in the SMA and PPC compared to normal walking [ 52 ]. Pizzamiglio et al reported that gait speed and left PPC alpha (8–12 Hz) band were correlated when walking during conversation, and that mid-lateral trunk acceleration was predicted by left PPC beta (15–25 Hz) band when walking while texting [ 53 ].…”
Section: Discussionmentioning
confidence: 99%
“…There was also evidence that the PPC is involved in challenging gaits such as dual-task walking [ 48 , 49 ]. An et al reported that unpredictable perturbations increased cortical activity in the SMA and PPC compared to normal walking [ 52 ]. Pizzamiglio et al reported that gait speed and left PPC alpha (8–12 Hz) band were correlated when walking during conversation, and that mid-lateral trunk acceleration was predicted by left PPC beta (15–25 Hz) band when walking while texting [ 53 ].…”
Section: Discussionmentioning
confidence: 99%
“…Compared to the loss of balance due to a physical pull at the waist, however, visual perturbations elicited more prominent responses from the parieto-occipital areas. During recovery from loss of balance during unexpected slips, compared to steady walking, spectral power from sensorimotor cortex similarly increased in the theta band and decreased in the alpha band, while alpha and beta band spectral power decreased from the parietal cortex (An et al, 2019 ). In response to unexpected obstacles that appeared on a treadmill belt during walking and running, event-related spectral power fluctuations from time-frequency analysis further identified spectral power increases from the premotor cortex, supplementary motor area, and the parietal cortex in the delta, theta, and alpha bands.…”
Section: Mobile Eeg For Studying the Neural Control Of Locomotionmentioning
confidence: 99%
“…Low signal-to-noise ratio and comparatively poor spatial resolution in relation to fMRI and molecular imaging methods have been progressively addressed through advanced signal processing to isolate and localize electrocortical source activity using independent component analysis and forward head modeling techniques (Delorme and Makeig, 2004 ; Acar and Makeig, 2010 ; Vorwerk et al, 2018 ). Leveraging these advancements, recent locomotion studies have extended our understanding of human brain activity during treadmill (Castermans et al, 2014 ; Nathan and Contreras-Vidal, 2016 ; Bradford et al, 2016 ; Nordin et al, 2019a ) and overground locomotion (Luu et al, 2017a ) in complex virtual (Luu et al, 2016 , 2017b ) and real-world environments (Bruijn et al, 2015 ; An et al, 2019 ; Peterson and Ferris, 2019 ), and during robotically assisted gait (Wagner et al, 2012 ; Li et al, 2018 ).…”
Section: Introductionmentioning
confidence: 99%
“…This observation argues for an involvement of both areas in the anticipation and probably also compensation of an expected postural imbalance. Likewise, An et al [13] who investigated the contribution of the sensory motor cortex and the PPC to recovery responses following unpredictable perturbations during standing or walking. Both areas showed a suppressed activity in the alpha band during periods of balance recovery [13].…”
Section: Introductionmentioning
confidence: 99%
“…Likewise, An et al [13] who investigated the contribution of the sensory motor cortex and the PPC to recovery responses following unpredictable perturbations during standing or walking. Both areas showed a suppressed activity in the alpha band during periods of balance recovery [13]. The significant role of the posterior parietal cortex in the stabilization of balance is further corroborated by Lin et al [14].…”
Section: Introductionmentioning
confidence: 99%