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Time-varying functional connectivity of rat brain during bipedal walking on unexpected terrain

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Time-varying functional connectivity of rat brain during bipedal walking on unexpected terrain. / Liu, Honghao; Li, Bo; Xi, Pengcheng et al.
In: Cyborg and Bionic Systems, Vol. 4, 31.03.2023, p. 0017.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Liu, H, Li, B, Xi, P, Liu, Y, Li, F, Lang, Y, Tang, R, Ma, N & He, J 2023, 'Time-varying functional connectivity of rat brain during bipedal walking on unexpected terrain', Cyborg and Bionic Systems, vol. 4, pp. 0017. https://doi.org/10.34133/cbsystems.0017

APA

Liu, H., Li, B., Xi, P., Liu, Y., Li, F., Lang, Y., Tang, R., Ma, N., & He, J. (2023). Time-varying functional connectivity of rat brain during bipedal walking on unexpected terrain. Cyborg and Bionic Systems, 4, 0017. https://doi.org/10.34133/cbsystems.0017

Vancouver

Liu H, Li B, Xi P, Liu Y, Li F, Lang Y et al. Time-varying functional connectivity of rat brain during bipedal walking on unexpected terrain. Cyborg and Bionic Systems. 2023 Mar 31;4:0017. Epub 2023 Mar 6. doi: 10.34133/cbsystems.0017

Author

Liu, Honghao ; Li, Bo ; Xi, Pengcheng et al. / Time-varying functional connectivity of rat brain during bipedal walking on unexpected terrain. In: Cyborg and Bionic Systems. 2023 ; Vol. 4. pp. 0017.

Bibtex

@article{c024e440357040a486ee960a59d6dc6b,
title = "Time-varying functional connectivity of rat brain during bipedal walking on unexpected terrain",
abstract = "The cerebral cortex plays an important role in human and other animal adaptation to unpredictable terrain changes, but little was known about the functional network among the cortical areas during this process. To address the question, we trained 6 rats with blocked vision to walk bipedally on a treadmill with a random uneven area. Whole-brain electroencephalography signals were recorded by 32-channel implanted electrodes. Afterward, we scan the signals from all rats using time windows and quantify the functional connectivity within each window using the phase-lag index. Finally, machine learning algorithms were used to verify the possibility of dynamic network analysis in detecting the locomotion state of rats. We found that the functional connectivity level was higher in the preparation phase compared to the walking phase. In addition, the cortex pays more attention to the control of hind limbs with higher requirements for muscle activity. The level of functional connectivity was lower where the terrain ahead can be predicted. Functional connectivity bursts after the rat accidentally made contact with uneven terrain, while in subsequent movement, it was significantly lower than normal walking. In addition, the classification results show that using the phase-lag index of multiple gait phases as a feature can effectively detect the locomotion states of rat during walking. These results highlight the role of the cortex in the adaptation of animals to unexpected terrain and may help advance motor control studies and the design of neuroprostheses.",
keywords = "General Earth and Planetary Sciences, General Environmental Science",
author = "Honghao Liu and Bo Li and Pengcheng Xi and Yafei Liu and Fenggang Li and Yiran Lang and Rongyu Tang and Nan Ma and Jiping He",
year = "2023",
month = mar,
day = "31",
doi = "10.34133/cbsystems.0017",
language = "English",
volume = "4",
pages = "0017",
journal = "Cyborg and Bionic Systems",
issn = "2692-7632",
publisher = "American Association for the Advancement of Science (AAAS)",

}

RIS

TY - JOUR

T1 - Time-varying functional connectivity of rat brain during bipedal walking on unexpected terrain

AU - Liu, Honghao

AU - Li, Bo

AU - Xi, Pengcheng

AU - Liu, Yafei

AU - Li, Fenggang

AU - Lang, Yiran

AU - Tang, Rongyu

AU - Ma, Nan

AU - He, Jiping

PY - 2023/3/31

Y1 - 2023/3/31

N2 - The cerebral cortex plays an important role in human and other animal adaptation to unpredictable terrain changes, but little was known about the functional network among the cortical areas during this process. To address the question, we trained 6 rats with blocked vision to walk bipedally on a treadmill with a random uneven area. Whole-brain electroencephalography signals were recorded by 32-channel implanted electrodes. Afterward, we scan the signals from all rats using time windows and quantify the functional connectivity within each window using the phase-lag index. Finally, machine learning algorithms were used to verify the possibility of dynamic network analysis in detecting the locomotion state of rats. We found that the functional connectivity level was higher in the preparation phase compared to the walking phase. In addition, the cortex pays more attention to the control of hind limbs with higher requirements for muscle activity. The level of functional connectivity was lower where the terrain ahead can be predicted. Functional connectivity bursts after the rat accidentally made contact with uneven terrain, while in subsequent movement, it was significantly lower than normal walking. In addition, the classification results show that using the phase-lag index of multiple gait phases as a feature can effectively detect the locomotion states of rat during walking. These results highlight the role of the cortex in the adaptation of animals to unexpected terrain and may help advance motor control studies and the design of neuroprostheses.

AB - The cerebral cortex plays an important role in human and other animal adaptation to unpredictable terrain changes, but little was known about the functional network among the cortical areas during this process. To address the question, we trained 6 rats with blocked vision to walk bipedally on a treadmill with a random uneven area. Whole-brain electroencephalography signals were recorded by 32-channel implanted electrodes. Afterward, we scan the signals from all rats using time windows and quantify the functional connectivity within each window using the phase-lag index. Finally, machine learning algorithms were used to verify the possibility of dynamic network analysis in detecting the locomotion state of rats. We found that the functional connectivity level was higher in the preparation phase compared to the walking phase. In addition, the cortex pays more attention to the control of hind limbs with higher requirements for muscle activity. The level of functional connectivity was lower where the terrain ahead can be predicted. Functional connectivity bursts after the rat accidentally made contact with uneven terrain, while in subsequent movement, it was significantly lower than normal walking. In addition, the classification results show that using the phase-lag index of multiple gait phases as a feature can effectively detect the locomotion states of rat during walking. These results highlight the role of the cortex in the adaptation of animals to unexpected terrain and may help advance motor control studies and the design of neuroprostheses.

KW - General Earth and Planetary Sciences

KW - General Environmental Science

U2 - 10.34133/cbsystems.0017

DO - 10.34133/cbsystems.0017

M3 - Journal article

C2 - 37027341

VL - 4

SP - 0017

JO - Cyborg and Bionic Systems

JF - Cyborg and Bionic Systems

SN - 2692-7632

ER -