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Passive activity enhances residual control ability in patients with complete spinal cord injury

neural Regeneration research 2025年第8期20卷 2337-2347页

作者： Yanqing Xiao Mingming Gao Zejia He Jia Zheng Hongming Bai Jia-Sheng Rao Guiyun Song Wei Song Xiaoguang Li Beijing Key Laboratory for Biomaterials and Neural Regeneration Beijing Advanced Innovation Center for Biomedical EngineeringSchool of Biological Science and Medical EngineeringBeihang UniversityBeijingChina Department of Rehabilitation Evaluation China Rehabilitation Research CenterBeijingChina Cardiac Center Beijing Children’s HospitalCapital Medical UniversityBeijingChina The State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijingChina Department of Rehabilitation Engineering China Rehabilitation Science InstituteBeijingChina

Patients with complete spinal cord injury retain the potential for volitional muscle activity in muscles located below the spinal injury ***,because of prolonged inactivity,initial attempts to activate these muscles may not effectively engage any of the remaining neurons in the descending pathway.A previous study unexpectedly found that a brief clinical round of passive activity significantly increased volitional muscle activation,as measured by surface *** this study,we further explored the effect of passive activity on surface electromyographic signals during volitional control tasks among individuals with complete spinal cord *** patients with chronic complete thoracic spinal cord injury were *** electromyography data from eight major leg muscles were acquired and compared before and after the passive activity *** results indicated that the passive activity led to an increased number of activated volitional muscles and an increased frequency of *** the cumulative root mean square of surface electromyography amplitude for volitional control of movement showed a slight increase after passive activity,the difference was not statistically *** findings suggest that brief passive activity may enhance the ability to initiate volitional muscle activity during surface electromyography tasks and underscore the potential of passive activity for improving residual motor control among patients with motor complete spinal cord injury.

关键词： complete spinal cord injury cycle training epidural electrical stimulation motor training passive activity physiological state spinal cord circuit surface electromyography volitional control task

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Activation of adult endogenous neurogenesis by a hyaluronic acid collagen gel containing basic fibroblast growth factor promotes remodeling and functional recovery of the injured cerebral cortex

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neural Regeneration research 2025年第10期20卷 2923-2937页

作者： Yan Li Peng Hao Hongmei Duan Fei Hao Wen Zhao Yudan Gao Zhaoyang Yang Kwok-Fai So Xiaoguang Li Department of Neurobiology School of Basic Medical SciencesCapital Medical UniversityBeijingChina China Rehabilitation Science Institute China Rehabilitation Research CenterBeijing Key Laboratory of Neural Injury and RehabilitationBeijingChina Center of Neural Injury and Repair Beijing Institute for Brain DisordersBeijingChina Beijing Key Laboratory for Biomaterials and Neural Regeneration School of Engineering MedicineBeihang UniversityBeijingChina Guangdong-HongKong-Macao Institute of CNS Regeneration Ministry of Education CNS Regeneration Collaborative Joint LaboratoryJinan UniversityGuangzhouGuangdong ProvinceChina Bioland Laboratory(Guangzhou Regenerative Medicine and Health Guangdong Laboratory) GuangzhouGuangdong ProvinceChina Department of Ophthalmology and State Key Laboratory of Brain and Cognitive Sciences The University of Hong KongHong Kong Special Administration RegionChina Center for Brain Science and Brain-Inspired Intelligence Guangdong-HongKong-Macao Greater Bay AreaGuangzhouGuangdong ProvinceChina Co-innovation Center of Neuroregeneration Nantong UniversityNantongJiangsu ProvinceChina Department of Biomedical Engineering School of Biological Science and Medical EngineeringBeihang UniversityBeijingChina

The presence of endogenous neural stem/progenitor cells in the adult mammalian brain suggests that the central nervous system can be repaired and regenerated after ***,whether it is possible to stimulate neurogenesis and reconstruct cortical layers II to VI in non-neurogenic regions,such as the cortex,remains *** this study,we implanted a hyaluronic acid collagen gel loaded with basic fibroblast growth factor into the motor cortex immediately following traumatic *** findings reveal that this gel effectively stimulated the proliferation and migration of endogenous neural stem/progenitor cells,as well as their differentiation into mature and functionally integrated ***,these new neurons reconstructed the architecture of cortical layers II to VI,integrated into the existing neural circuitry,and ultimately led to improved brain *** findings offer novel insight into potential clinical treatments for traumatic cerebral cortex injuries.

关键词： adult endogenous neurogenesis basic fibroblast growth factor-hyaluronic acid collagen gel cortical remodeling functional recovery migration motor cortex injury neural circuits neural stem cells newborn neurons proliferation

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Motion Sickness Sensitivity Modifies the Cortical Neurodynamics of Postural Control in the Virtual Reality BioVRSea Paradigm 3

Motion Sickness Sensitivity Modifies the Cortical Neurodynam...

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3rd IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and neural engineering, MetroXRAINE 2024

作者： Edmunds, Kyle Guerrini, Lorena Pescaglia, Federica Ostheimer, Casey Garbisch, Alexis Jacob, Deborah Aubonnet, Romain Recenti, Marco Hassan, Mahmoud Petersen, Hannes Gargiulo, Paolo Institute of Biomedical and Neural Engineering Reykjavik University Reykjavik Iceland Wisconsin Alzheimer's Disease Research Center University of Wisconsin School of Medicine and Public Health MadisonWI United States University of Campania L. Vanvitelli Department of Engineering Caserta Italy University of Rome Tor Vergata Laboratory of Psychophysiology and Cognitive Neuroscience Department of Systems Medicine Rome Italy School of Health Sciences University of Iceland Faculty of Medicine Department of Anatomy Reykjavik Iceland Akureyri Hospital Akureyri Iceland Landspitali National University Hospital of Iceland Department of Science Reykjavik Iceland

ISBN: (纸本)9798350378009

Motion sickness influences postural control in virtual reality environments, but its impact on cortical neurodynamics remains unclear. This study investigated the association between postural sway-measured via center of pressure excursion-and regional power spectral density changes in participants with varying motion sickness sensitivity during the RioVRSea paradigm. Linear mixed-effects models revealed significant associations between center of pressure excursion and power spectral density in the left temporal lobe in θ and β bands. Moreover, moderation analysis demonstrated that motion sickness sensitivity modified this relationship in the left temporal β band. These findings highlight the role of motion sickness in modifying the cortical neurodynamics of postural control in dynamic virtual reality environments. © 2024 IEEE.

关键词： Virtual environments

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Wireless, Multifunctional System-Integrated Programmable Soft Robot

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Nano-Micro Letters 2025年第7期 20-33页

作者： Sungkeun Han Jeong-Woong Shin Joong Hoon Lee Bowen Li Gwan-Jin Ko Tae-Min Jang Ankan Dutta Won Bae Han Seung Min Yang Dong-Je Kim Heeseok Kang Jun Hyeon Lim Chan-Hwi Eom So Jeong Choi Huanyu Cheng Suk-Won Hwang KU-KIST Graduate School of Converging Science and Technology Korea University Semiconductor R&D Center Samsung Electronics Co.Ltd. SK Hynix Department of Engineering Science and Mechanics The Pennsylvania State UniversityUniversity Park Center for Neural Engineering The Pennsylvania State UniversityState CollegeUniversity Park Department of Integrative Energy Engineering Korea University Hanwha Systems Co. Ltd. Department of Materials Science and Engineering The Pennsylvania State UniversityState CollegeUniversity Park Materials Research Institute The Pennsylvania State UniversityState CollegeUniversity Park Center for Biomaterials Biomedical Research InstituteKorea Institute of Science and Technology (KIST) Department of Mechanical Engineering The Pennsylvania State UniversityUniversity Park

Soft robots have partially or entirely provided versatile opportunities for issues or roles that cannot be addressed by conventional machine robots, although most studies are limited to designs, controls, or physical/mechanical motions. Here, we present a transformable, reconfigurable robotic platform created by the integration of magnetically responsive soft composite matrices with deformable multifunctional electronics. Magnetic compounds engineered to undergo phase transition at a low temperature can readily achieve reversible magnetization and conduct various changes of motions and shapes. Thin and flexible electronic system designed with mechanical dynamics does not interfere with movements of the soft electronic robot, and the performances of wireless circuit, sensors, and devices are independent of a variety of activities, all of which are verified by theoretical studies. Demonstration of navigations and electronic operations in an artificial track highlights the potential of the integrated soft robot for on-demand, environments-responsive movements/metamorphoses, and optoelectrical detection and stimulation. Further improvements to a miniaturized, sophisticated system with material options enable in situ monitoring and treatment in envisioned areas such as biomedical implants.

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Comfort Assessment Method of EEG-Based Exoskeleton Walking-Assistive Device

Comfort Assessment Method of EEG-Based Exoskeleton Walking-A...

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17th International Joint Conference on biomedical engineering systems and Technologies, BIOSTEC 2024

作者： Wang, Heyuan Li, Kaitai Liu, Hui Ye, Xuesong Zhou, Congcong College of Biomedical Engineering & Instrument Science Biosensor National Special Laboratory Zhejiang University Zhejiang Hangzhou310027 China Cognitive Systems Lab University of Bremen Bremen28359 Germany Sir Run Run Shaw Hospital School of Medicine Zhejiang University National Engineering Research Center for Innovation and Application of Minimally Invasive Devices East Qingchun Road Zhejiang Hangzhou310016 China

The study of wearable exoskeleton robotics has garnered significant attention, amidst a rapidly expanding corpus of scholarly work aimed at the empirical evaluation of the performance characteristics of robotic exoskeletons. However, quantifying comfort performance is still a significant and challenging task. This study aimed to perform comfort assessment based on EEG (Electroencephalography) signals and classical machine learning models as well as deep learning model. It involved collecting EEG data from users wearing lower limb exoskeleton walking-assistive devices for comfort assessment during walking experiments. The subjective evaluation labels of comfort were obtained using a semantic differential scale, providing comfort labels data for each participant in each trial. This study conducted a comparative analysis of three classical ML (Machine Learning) models, Naive Bayes, K-Nearest Neighbors, and Support Vector Machine models, with DL (Deep Learning) model, LSTM (Long Short-Term Memory), in terms of their accuracy for comfort assessment. The results of the analysis showed that the deep learning model, LSTM, outperformed the classical machine learning models, in terms of accuracy for evaluating comfort. Specifically, we get an accuracy of 0.91±0.12 on the LSTM model. The LSTM model demonstrated higher accuracy and better performance in capturing complex patterns and relationships within the EEG data, leading to the potential of more accurate predictions of comfort levels. © 2024 by SCITEPRESS–Science and Technology Publications, Lda.

关键词： Exoskeleton (Robotics)

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Developing a Multi-site Hyperscanning Procedure for Investigating Interbrain Synchrony Underlying Remote Social Interaction 17th

Developing a Multi-site Hyperscanning Procedure for Investig...

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17th International Conference on Brain Informatics, BI 2024

作者： Limtragooltongchai, Sirapakit Yamtuan, Kawin Gracia, Javier O. Chunharas, Chaipat Sriravanasan, Ramesh Chaisilprungraung, Thitaporn Itthipuripat, Sirawaj Neuroscience Center for Research and Innovation King Mongkut’s University of Technology Thonburi Bangkok Thailand Institute of Field Robotics King Mongkut’s University of Technology Thonburi Thonburi Thailand DEVCOM Army Research Laboratory Humans in Complex Systems Division AdelphiMD United States Chula Neuroscience Center King Chulalongkorn Memorial Hospital Thai Red Cross Society Bangkok10330 Thailand Cognitive Clinical and Computational Neuroscience Department of Internal Medicine Faculty of Medicine Chulalongkorn University Bangkok10330 Thailand Department of Cognitive Sciences University of California IrvineCA United States Department of Biomedical Engineering University of California IrvineCA United States Department of Computer Engineering King Mongkut’s University of Technology Thonburi Bangkok10600 Thailand

ISBN: (纸本)9789819632930

EEG hyperscanning provides novel insights into inter-brain connectivity during social interactions by enabling the simultaneous recording of neural activity from multiple individuals. This research aims to develop and validate a new protocol in which dyads engage in a synchronized button-pressing task across both same-location and multi-location setups. Our findings reveal significantly higher interpersonal neural synchronization during the interaction period compared to the baseline. Notably, the increased neural synchronization is comparable across the same- and multi-location setups, spanning frontal, central, and posterior electrodes. Interestingly, the level of synchronization in the multi-location setup is greater than in the same-location setup over electrodes positioned above the right superior temporal gyrus (STG), a region associated with social cognition and the mirror neuron system (MNS). These findings validate our methodology for studies across different locations and open new avenues for research into inter-brain synchronization in remote environments. Our experimental protocol could enhance the design of experiments and applications involving social interaction, particularly in remote settings, which have gained popularity due to COVID-19. It also advances our understanding of the neural mechanisms that support social communication in the new normal era. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Economic and social effects

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Shifts in intrinsic neural timescale of hippocampus support the maturation of inhibitory control and working memory in youth

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Medicine in Novel Technology and Devices 2024年第2期22卷 115-123页

作者： Debin Zeng Qiongling Li Deyu Li Shuyu Li Beijing Advanced Innovation Center for Biomedical Engineering School of Biological Science&Medical EngineeringBeihang UniversityBeijing100083China State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal UniversityBeijing100875China Beijing Key Laboratory of Brain Imaging and Connectomics Beijing Normal UniversityBeijing100875China IDG/McGovern Institute for Brain Research Beijing Normal UniversityBeijing100875China State Key Laboratory of Virtual Reaility technology and Systems Beihang UniversityBeijing100083China

The intrinsic neural timescale(INT)provides temporal windows in brain activity that process information of different durations,crucial for the integration and segregation of external inputs and ultimately shaping cognition and *** research has uncovered a pronounced INT hierarchy along the adult hippocampus's long***,the development of INT organization within the hippocampus—particularly the pattern of its hierarchical structure and its impact on cognitive development—has not been thoroughly investigated in ***,we discovered that the INT distribution in youth presents a distinct hierarchical structure along both posterioranterior and proximal-distal axes of the ***,this hierarchical structure correlates signifi-cantly with the first principal gradient of the hippocampal-cortical functional connectome and the thickness of hippocampal grey ***,we observed notable changes in the hippocampal INT landscape during youth,characterized by a general narrowing of timescales,alongside dedifferentiation along the hippocampal organizational *** maturational changes significantly link to improvements in inhibitory control and working memory ***,our findings reveal the developmental patterns of temporal integration and segregation hierarchies within hippocampus,and highlights the profound significance of INT as a neural underpinning that orchestrates cognitive growth.

关键词： Intrinsic neural timescale Hippocampus Development Inhibitory control and working memory

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Methods for Performance Improvement in Recurrent Rehabilitative Brain Computer Interface Applications*

Methods for Performance Improvement in Recurrent Rehabilitat...

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IEEE International Conference on Cyborg and Bionic systems (CBS)

作者： Xin Zhang Carlo Menon Department of Biomedical Engineering College of Precision Instruments and Optoelectronics Engineering Laboratory of Neural Engineering and Rehabilitation Tianjin University Tianjin International Joint Research Center for Neural Engineering Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin China Menrva Research Group School of Mechatronic Systems Engineering School of Engineering Science Simon Fraser University Metro Vancouver Canada Biomedical and Mobile Health Technology Laboratory ETH Zurich Lengghalde 5 Zurich Switzerland

EEG based brain computer interfaces (BCIs) have been proven to be effective in priming recovery in stroke rehabilitation. Due to the non-stationary nature of the EEG signal, cross-sessional BCI applications generally suffer from performance issues, which not only reduce the training efficiency but also deteriorate the entire system stability, especially with increased false positive outputs. However, it is very inefficient to train BCI models everyday for long-term recurrent applications like rehabilitation training. In this paper, we preliminarily investigated the feasibility of two methods for suppressing false positive outputs and fast re-calibrating online application in long-term recurrent scenarios. Biased-classification and moving-average methods were proposed to mitigate the gap between offline model generation and online application. The proposed two methods were evaluated on EEG data from one participant with chronic stroke during six weeks of rehabilitation training using BCI-controlled exoskeleton. Two proposed configuration methods were introduced and evaluated on the recorded EEG data in a simulated online paradigm. The result showed that the proposed online classification filtering methods were able to improve classification performance by considerably suppressing false positive outputs in rehabilitation applications. The proposed methods contributed in improving the online BCI performance and streamlining the re-calibration BCI process in recurrent long-term BCI applications.

关键词： Training Filtering Exoskeletons Stroke (medical condition) Brain modeling Electroencephalography Brain-computer interfaces

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Distinct cortical connectome organization of hippocampal subfields is associated with episodic memory

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Science Bulletin 2025年第1期70卷 33-37页

作者： Debin Zeng Deyu Li Qiongling Li Yong He Shuyu Li Beijing Advanced Innovation Center for Biomedical Engineering School of Biological Science&Medical EngineeringBeihang UniversityBeijing 100083China State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal UniversityBeijing 100875China State Key Laboratory of Virtual Reaility Technology and Systems Beihang UniversityBeijing 100083China Beijing Key Laboratory of Brain Imaging and Connectomics Beijing Normal UniversityBeijing 100875China IDG/McGovern Institute for Brain Research Beijing Normal UniversityBeijing 100875China Chinese Institute for Brain Research Beijing 102206China

The hippocampus is considerably important in terms of its phylogenetic origins and participates in an extensive array of cognitive tasks and behaviors[1].The hippocampus can be partitioned into subfields based on its ... 详细信息

关键词： partitioned considerably fields

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Forecasting Slow-Wave Sleep Deficiency Through Stress-Related Markers in Forehead EEG

Forecasting Slow-Wave Sleep Deficiency Through Stress-Relate...

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2024 IEEE International Conference on systems, Man, and Cybernetics, SMC 2024

作者： Su, Cheng-Hua Ko, Li-Wei Jung, Tzyy-Ping Onton, Julie Tzou, Shey-Cherng Juang, Jia-Chi Hsu, Chung-Yao Institute of Bioinformatics and Systems Biology National Yang Ming Chiao Tung University Hsinchu300 Taiwan Institute of Electrical and Control Engineering National Yang Ming Chiao Tung University Hsinchu300 Taiwan Kaohsiung Medical University Drug Development and Value Creation Research Center Department of Biomedical Science and Environmental Biology Kaohsiung807 Taiwan Institute for Neural Computation Institute of Engineering in Medicine University of California San Diego La Jolla CA92093 United States College of Electrical Engineering National Yang Ming Chiao Tung University Hsinchu300 Taiwan Institute for Neural Computation University of California San Diego La Jolla CA92093 United States Kaohsiung Medical University Hospital Sleep Disorders Center Department of Neurology Kaohsiung807 Taiwan College of Medicine Kaohsiung Medical University Department of Neurology Kaohsiung807 Taiwan

ISBN: (纸本)9781665410205

Sleep quality is critical for human well-being. Lack of sleep and poor sleep quality impair daily cognitive functions and health. While stress has been recognized as a detrimental factor on sleep quality, the relationship between pre-sleep stress level, resting EEG and subsequent sleep structure remains to be explored. This study presents a novel approach that evaluates pre-sleep stress levels using a 2-channel EEG to predict slow-wave sleep (SWS) deficiency. We recorded forehead EEG immediately before sleep onset, then utilized power spectra and entropy analysis to extract stress-related neurological features, including beta/delta correlation, alpha asymmetry, fuzzy entropy (FuzzEn), and spectral entropy (SpEn). We found that individuals with SWS deficiency exhibited signs of stress, such as a robust beta/delta correlation, higher alpha asymmetry, and increased FuzzEn. Conversely, individuals with ample SWS displayed weak beta/delta correlation and reduced FuzzEn in EEG recordings. Finally, we tested the robustness of the selected neuro markers with two supervised learning models and found that the selected markers predict SWS deficiency with an accuracy above 70%. Our study demonstrated that stress-related neurological markers derived from pre-sleep EEG can effectively predict SWS deficiency. The proposed method can be integrated with a portable EEG device and sleep-improving interventions to develop a personalized sleep-improvement solution. © 2024 IEEE.

关键词： Sleep research

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