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Keywords = bipedal-walking rats

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19 pages, 6294 KB  
Article
Unexpected Terrain Induced Changes in Cortical Activity in Bipedal-Walking Rats
by Honghao Liu, Bo Li, Minjian Zhang, Chuankai Dai, Pengcheng Xi, Yafei Liu, Qiang Huang, Jiping He, Yiran Lang and Rongyu Tang
Biology 2022, 11(1), 36; https://doi.org/10.3390/biology11010036 - 27 Dec 2021
Cited by 2 | Viewed by 3167
Abstract
Humans and other animals can quickly respond to unexpected terrains during walking, but little is known about the cortical dynamics in this process. To study the impact of unexpected terrains on brain activity, we allowed rats with blocked vision to walk on a [...] Read more.
Humans and other animals can quickly respond to unexpected terrains during walking, but little is known about the cortical dynamics in this process. To study the impact of unexpected terrains on brain activity, we allowed rats with blocked vision to walk on a treadmill in a bipedal posture and then walk on an uneven area at a random position on the treadmill belt. Whole brain EEG signals and hind limb kinematics of bipedal-walking rats were recorded. After encountering unexpected terrain, the θ band power of the bilateral M1, the γ band power of the left S1, and the θ to γ band power of the RSP significantly decreased compared with normal walking. Furthermore, when the rats left uneven terrain, the β band power of the bilateral M1 and the α band power of the right M1 decreased, while the γ band power of the left M1 significantly increased compared with normal walking. Compared with the flat terrain, the θ to low β (3–20 Hz) band power of the bilateral S1 increased after the rats contacted the uneven terrain and then decreased in the single- or double- support phase. These results support the hypothesis that unexpected terrains induced changes in cortical activity. Full article
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48 pages, 3571 KB  
Review
Towards Effective Non-Invasive Brain-Computer Interfaces Dedicated to Gait Rehabilitation Systems
by Thierry Castermans, Matthieu Duvinage, Guy Cheron and Thierry Dutoit
Brain Sci. 2014, 4(1), 1-48; https://doi.org/10.3390/brainsci4010001 - 31 Dec 2013
Cited by 46 | Viewed by 15964
Abstract
In the last few years, significant progress has been made in the field of walk rehabilitation. Motor cortex signals in bipedal monkeys have been interpreted to predict walk kinematics. Epidural electrical stimulation in rats and in one young paraplegic has been realized to [...] Read more.
In the last few years, significant progress has been made in the field of walk rehabilitation. Motor cortex signals in bipedal monkeys have been interpreted to predict walk kinematics. Epidural electrical stimulation in rats and in one young paraplegic has been realized to partially restore motor control after spinal cord injury. However, these experimental trials are far from being applicable to all patients suffering from motor impairments. Therefore, it is thought that more simple rehabilitation systems are desirable in the meanwhile. The goal of this review is to describe and summarize the progress made in the development of non-invasive brain-computer interfaces dedicated to motor rehabilitation systems. In the first part, the main principles of human locomotion control are presented. The paper then focuses on the mechanisms of supra-spinal centers active during gait, including results from electroencephalography, functional brain imaging technologies [near-infrared spectroscopy (NIRS), functional magnetic resonance imaging (fMRI), positron-emission tomography (PET), single-photon emission-computed tomography (SPECT)] and invasive studies. The first brain-computer interface (BCI) applications to gait rehabilitation are then presented, with a discussion about the different strategies developed in the field. The challenges to raise for future systems are identified and discussed. Finally, we present some proposals to address these challenges, in order to contribute to the improvement of BCI for gait rehabilitation. Full article
(This article belongs to the Special Issue Emergence of Novel Brain-Computer Interface Applications)
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