Level of participation in robotic-assisted treadmill walking modulates midline sensorimotor EEG rhythms in able-bodied subjects

Supraspinal Control Predicts Locomotor Function and Forecasts Responsiveness to Training after Spinal Cord Injury

“…During human walking, neuronal activity related to lower extremity movement is represented in the primary motor and sensory cortices. 57,58 The primary motor cortex and corticospinal pathway have received the greatest amount of 1814 FIELD-FOTE ET AL.…”

Effects of 3D Compression Suits on EEG Analysis during and after Walking

“…움직임이 포함되는 뇌파 측정 의 경우 근육의 활동에 따른 근전도 잡음도 유입될 수 있다 (Andreassi, 2000;Thompson et al, 2008). 보행 중 하체에서 일어나는 근육의 수축운동의 저항 을 막는 것은 어려운 일이지만 (Wagner et al, 2012). 이 BS: basic sportswear, 3D CS: 3D compression suit, 3D WCS: power film welded on 3D…”

Mapping the Spatial and Temporal Dynamics of Sensorimotor Integration During the Perception and Performance of Wallowing

“…In addition to providing a novel means to localize patterns of SMI, measured via mu components across groups and conditions, ICA has been suggested as a potential solution to problems that muscle artifacts pose to EEG signals during studies involving movement (Ma, Tao, Bayram, Svetnik, 2012;van der Meer, Tijssen, Bour, Rootselaar, Nederveen, 2010). Recently, a number of studies have used ICA to separate muscular components from neural components, including studies of tongue movements (Morash, Bai, Furlani, Lin, Hallet, 2009), finger movements and hand movements (Morash et al, 2009;Shou et al, 2012), walking and running movements (Gwin et al, 2010;Wagner et al, 2012), knee and ankle movements (Gwin and Ferris, 2012), and foot movements (Morash et al, 2009). Collectively, the studies above all reported mu-alpha and mu-beta ERD in component clusters that were localized to the premotor and/or primary motor and somatosensory cortices during action execution, and further validated the use of whole head EEG and ICA to analyze dynamic changes in SMI during tasks that require movement.…”

“…Blind source separation (BSS) of raw EEG signals using independent component analysis (ICA) provides a means to localize and separate cortical sensorimotor activity from muscular activity (McMennamin et al, 2011;Onton, Westerfield, Townsend, & Makeig, 2012;Schelenz et al, 2013;Wagner et al, 2012). Based upon the assumption that the neural sources of EEG activity stream from temporally independent and spatially fixed sources, ICA separates mixtures of surface EEG activity into temporally independent and spatially fixed functional components Delorme, Senjowski, Makeig, 2007).…”

“…Based upon the assumption that the neural sources of EEG activity stream from temporally independent and spatially fixed sources, ICA separates mixtures of surface EEG activity into temporally independent and spatially fixed functional components Delorme, Senjowski, Makeig, 2007). Using ICA to estimate cortical sources of sensorimotor activity, a number of studies involving observation, imagination, and performance of movement, have identified mu components that are localized to the PMC and primary sensorimotor cortices (Arnstein, Cui, Keysers, Mauritz, Gazzola, 2011;Kourtis, De Saedeleer, Vingerhoets, 2014;McFarland et al, 2000;Paek, Harshavardhan, Agashe, Contreras-Vidal, 2014;Wagner et al, 2012). Additional studies involving the perception of tactile and somatosensory information have reported mu components localized to the sensorimotor and sensory association areas (Gaetz & Cheyne, 2006;Palva et al, 2005;Quandt, Marshall, Bouquet, Shipley, 2013).…”