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arXiv 2022年

作者： Ma, Qian Gao, Wei Xiao, Qiang Ding, Lingsong Gao, Tianyi Zhou, Yajun Gao, Xinxin Yan, Tao Liu, Che Gu, Ze Kong, Xianghong Abbasi, Qammer H. Li, Lianlin Qiu, Cheng-Wei Li, Yuanqing Cui, Tie Jun Institute of Electromagnetic Space Southeast University Nanjing210096 China School of Automation Science and Engineering South China University of Technology Guangzhou510641 China State Key Laboratory of Millimeter Wave Southeast University Nanjing210096 China Center of Intelligent Metamaterials Pazhou Laboratory Guangzhou510330 China Research Center for Brain-Computer Interface Pazhou Lab Guangzhou510330 China Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore University of Glasgow James Watt School of Engineering GlasgowG12 8QQ United Kingdom State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronics Peking University Beijing100871 China

brain-computer interfaces (BCIs), invasive or non-invasive, have projected unparalleled vision and promise for assisting patients in need to better their interaction with the surroundings. Inspired by the BCI-based rehabilitation technologies for nerve-system impairments and amputation, we propose an electromagnetic brain-computer-metasurface (EBCM) paradigm, regulated by human's cognition by brain signals directly and non-invasively. We experimentally show that our EBCM platform can translate human's mind from evoked potentials of P300-based electroencephalography to digital coding information in the electromagnetic domain non-invasively, which can be further processed and transported by an information metasurface in automated and wireless fashions. Directly wireless communications of the human minds are performed between two EBCM operators with accurate text transmissions. Moreover, several other proof-of-concept mind-control schemes are presented using the same EBCM platform, exhibiting flexibly-customized capabilities of information processing and synthesis like visual-beam scanning, wave modulations, and pattern encoding. © 2022, CC BY.

关键词： Electrophysiology

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Subject inefficiency phenomenon of motor imagery brain-computer interface: Influence factors and potential solutions

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brain Science Advances 2020年第3期6卷 224-241页

作者： Rui Zhang Fali Li Tao Zhang Dezhong Yao Peng Xu Henan Key Laboratory of Brain Science and Brain‐Computer Interface Technology School of Electrical EngineeringZhengzhou UniversityZhengzhou 450001HenanChina MOE Key Lab for NeuroInformation University of Electronic Science and Technology of ChinaChengdu 611731SichuanChina Science of School Xihua UniversityChengdu 610039SichuanChina

Motor imagery brain–computer interfaces(MI-BCIs)have great potential value in prosthetics control,neurorehabilitation,and gaming;however,currently,most such systems only operate in controlled laboratory *** of the most important obstacles is the MI-BCI inefficiency *** accuracy of MI-BCI control varies significantly(from chance level to 100%accuracy)across subjects due to the not easily induced and unstable MI-related EEG *** MI-BCI inefficient subject is defined as a subject who cannot achieve greater than 70%accuracy after sufficient training time,and multiple survey results indicate that inefficient subjects account for 10%–50%of the experimental *** widespread use of MI-BCI has been seriously limited due to these large percentages of inefficient *** this review,we summarize recent findings of the cause of MI-BCI inefficiency from resting-state brain function,task-related brain activity,brain structure,and psychological *** factors help understand the reasons for inter-subject MI-BCI control performance variability,and it can be concluded that the lower resting-state sensorimotor rhythm(SMR)is the key factor in MI-BCI inefficiency,which has been confirmed by multiple independent *** then propose to divide MI-BCI inefficient subjects into three categories according to the resting-state SMR and offline/online accuracy to apply more accurate approaches to solve the inefficiency *** potential solutions include developing transfer learning algorithms,new experimental paradigms,mindfulness meditation practice,novel training strategies,and identifying new motor imagery-related EEG *** date,few studies have focused on improving the control accuracy of MI-BCI inefficient subjects;thus,we appeal to the BCI community to focus more on this research *** by reducing the percentage of inefficient subjects can we create the opportunity to expand the value and influence of MI-BCI.

关键词： motor imagery brain-computer interface(MI-BCI) inefficient BCI user EEG indicator brain structure transfer learning

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Correction: On the role of visual feedback and physiotherapist-patient interaction in robot-assisted gait training: an eye-tracking and HD-EEG study

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Journal of neuroengineering and rehabilitation 2025年第1期22卷 46页

作者： Francesca Patarini Federica Tamburella Floriana Pichiorri Shiva Mohebban Alessandra Bigioni Andrea Ranieri Francesco Di Tommaso Nevio Luigi Tagliamonte Giada Serratore Matteo Lorusso Angela Ciaramidaro Febo Cincotti Giorgio Scivoletto Donatella Mattia Jlenia Toppi Department of Computer Control and Management Engineering Sapienza University of Rome Via Ariosto 25 00185 Rome Italy. Neuroelectrical Imaging and Brain Computer Interface Lab IRCCS Fondazione Santa Lucia Rome Italy. Department of Life Sciences Health and Health Professions Link Campus University Rome Rome Italy. Laboratory of Robotic Neurorehabilitation IRCCS Fondazione Santa Lucia Rome Italy. Università Campus Bio-Medico di Roma Rome Italy. Department of Biomedical Metabolic and Neural Sciences University of Modena and Reggio Emilia Reggio Emilia Italy. Center of Neuroscience and Neurotechnology University of Modena and Reggio Emilia Modena Italy. Department of Computer Control and Management Engineering Sapienza University of Rome Via Ariosto 25 00185 Rome Italy. jlenia.toppi@uniroma1.it. Neuroelectrical Imaging and Brain Computer Interface Lab IRCCS Fondazione Santa Lucia Rome Italy. jlenia.toppi@uniroma1.it.

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Dendrite Net with Acceleration Module for Faster Nonlinear Mapping and System Identification

arXiv

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arXiv 2020年

作者： Liu, Gang Pang, Yajing Yin, Shuai Niu, Xiaoke Wang, Jing Wan, Hong School of Electrical and Information Engineering Zhengzhou University Zhengzhou450001 China Institute of Robotics and Intelligent Systems Xi'an Jiaotong University Xi'An710049 China Henan Provincial Key Laboratory of Brain Science and Brain-Computer Interface Technology Zhengzhou450001 China

Nonlinear mapping is an essential and common demand in online systems, such as sensor systems and mobile phones. Accelerating nonlinear mapping will directly speed up online systems. Previously the authors of this paper proposed a Dendrite Net (DD) with enormously lower time complexity than the existing nonlinear mapping algorithms;however, there still are redundant calculations in DD. This paper presents a DD with an acceleration module (AC) to accelerate nonlinear mapping further. We conduct three experiments to verify whether DD with AC has lower time complexity while retaining DD's nonlinear mapping properties and system identification properties: The first experiment is the precision and identification of unary nonlinear mapping, reflecting the calculation performance using DD with AC for basic functions in online systems. The second experiment is the mapping precision and identification of the multi-input nonlinear system, reflecting the performance for designing online systems via DD with AC. Finally, this paper compares the time complexity of DD and DD with AC and analyzes the theoretical reasons through repeated experiments. Results: DD with AC retains DD's excellent mapping and identification properties and has lower time complexity. Significance: DD with AC can be used for most engineering systems, such as sensor systems, and will speed up computation in these online systems. The code of DD with AC is available on GitHub:Gang neuron. © 2020, CC BY-NC-SA.

关键词： Online systems

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Establishing dorsal-ventral patterning in human neural tube organoids with synthetic organizers

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Cell Stem Cell 2025年

作者： Luo, Tao Liu, Cong Cheng, Tao Zhao, Guo-Qin Huang, Ying Luan, Jing-Yun Guo, Junyu Liu, Xiang Wang, Yi-Fan Dong, Yang Xiao, Yu He, Enhui Sun, Rui-Zhen Chen, Xiuyu Chen, Jiekai Ma, Jun Megason, Sean Ji, Junfeng Xu, Peng-Fei Center of Stem Cell and Regenerative Medicine and Bone Marrow Transplantation Center of the First Affiliated Hospital Zhejiang University School of Medicine Zhejiang Hangzhou 310058 China Nanhu Brain-Computer Interface Institute Zhejiang Hangzhou 311100 China Center for Genetic Medicine the Fourth Affiliated Hospital of School of Medicine and International School of Medicine Zhejiang University Yiwu 322000 China Institute of Genetics Zhejiang University School of Medicine Zhejiang Hangzhou 310058 China Women's Hospital Zhejiang University School of Medicine Zhejiang Hangzhou 310006 China Precision Medicine Research Programme Yong Loo Lin School of Medicine National University of Singapore Singapore 117599 Singapore College of Computer Science and Technology Zhejiang University Hangzhou China The State Key Laboratory of Brain-Machine Intelligence Zhejiang University Hangzhou China Department of Histology and Embryology Harbin Medical University Heilongjiang Harbin 150081 China Center for Biomedical Digital Science Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine Guangzhou Institutes of Biomedicine and Health Chinese Academy of Sciences Guangzhou 510530 China Department of Systems Biology Harvard Medical School 200 Longwood Avenue Boston 02115 MA United States

Precise dorsal-ventral (D-V) patterning of the neural tube (NT) is essential for the development and function of the central nervous system. However, existing models for studying NT D-V patterning and related human diseases remain inadequate. Here, we present organizers derived from pluripotent stem cell aggregate fusion (“ORDER”), a method that establishes opposing BMP and SHH gradients within neural ectodermal cell aggregates. Using this approach, we generated NT organoids with ordered D-V patterning from both zebrafish and human pluripotent stem cells (hPSCs). Single-cell transcriptomic analysis revealed that the synthetic human NT organoids (hNTOs) closely resemble the human embryonic spinal cord at Carnegie stage 12 (CS12) and exhibit greater similarity to human NT than to mouse models. Furthermore, using the hNTO model, we demonstrated the critical role of WNT signaling in regulating intermediate progenitors, modeled TCTN2-related D-V patterning defects, and identified a rescue strategy. © 2025 Elsevier Inc.

关键词： BMP neural tube organoid pluripotent stem cells SHH

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Generation of an induced pluripotent stem cell line (HZSMHCi002-A) from a patient with neuronal intranuclear inclusion disease carrying GGC repeat expansion in the NOTCH2NLC gene

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Stem Cell Research 2025年

作者： Xinyi Ren Chuqing Zhou Youhui Jiang Jun Zhao Xiaoyi Tina Naxin Xu Mengshan Fu Peiyan Ni Tao Li Xiaoying Zhang Affiliated Mental Health Center & Hangzhou Seventh People’s Hospital Zhejiang University School of Medicine Hangzhou 310013 People's Republic of China The Mental Health Center and Psychiatric Laboratory West China Hospital Sichuan University Chengdu 610041 People's Republic of China College of Life Science Yantai University Yantai 264005 People's Republic of China Zhejiang Key Laboratory of Clinical and Basic Research on Psychiatric Disorders Hangzhou 310013 People's Republic of China Zhejiang Engineering Research Center for Intelligent Diagnosis and Treatment of Mental Disorders Hangzhou 310013 People's Republic of China Nanhu Brain-computer Interface Institute Hangzhou 311100 People's Republic of China Key Laboratory of Medical Neurobiology Ministry of Education Frontier Science Centre for Brain Science and Brain-machine Integration School of Brain Science and Brain Medicine Zhejiang University Hangzhou Zhejiang China

The NOTCH2NLC gene contains a GGC repeat expansion in its 5′ untranslated region. This expansion is associated with neuronal intranuclear inclusion disease (NIID). NIID is a rare neurodegenerative disorder. Its clinical features include cognitive decline, paroxysmal symptoms, and autonomic dysfunction. We generated an induced pluripotent stem cell (iPSC) line from a female patient’s PBMCs carrying a high GGC repeat expansion in NOTCH2NLC. The iPSC line displayed typical pluripotent morphology. It expressed key pluripotency markers and demonstrated differentiation potential in teratoma assays. This cell line serves as a useful model for studying disease mechanisms and developing therapeutic strategies.

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Functional Connection Analysis in Nidupallium Caudolaterale of Pigeons During the Operant Conditioning Learning Process

Functional Connection Analysis in Nidupallium Caudolaterale ...

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International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

作者： You Liang Mengmeng Li Lifang Yang Zhigang Shang Hong Wan Industrial Technology Research Institute Zhengzhou University Zhengzhou China Henan Key Laboratory of Brain Science and Brain-Computer Interface Technology Zhengzhou China

The avian nidupallium caudolaterale (NCL), a key region of cognitive learning process, it is believed that it play an important role in the process of operational conditioned learning. To reveal the changes of neural activity in operant conditioning learning process, the experimental paradigms of operant conditioning are designed in this paper. The behavioral data and local field potential (LFP) signals of three experimental periods (induction, acquisition and extinction) from the NCL of three pigeons are recorded. Then, on the basis of coherence calculation, NCL functional networks in specific frequency bands (30-60 Hz) during three experimental periods are constructed, then we analyze and compare the topology characteristics of the network. The experimental results of behavioral and LFP data analysis indicate that during the period of induction, pigeons do not establish stable operant conditioning relationship, and the connection of the network is sparse, in which the connection strength and information transmission efficiency are at a low level. In the acquisition period, pigeons can establish this relationship through learning, the functional network connection becomes tighter, and the connection strength and information transmission efficiency are significantly improved. In the extinction period in which the operant conditioning relationship is destroyed, the functional connection is weakened. These results show that pigeons can establish stable operant conditioning relationship through learning, and strengthen the functional connection of NCL, making the information transmission more efficient. This paper provides basic electrophysiological experimental evidence for further revealing the dynamic functional connection mechanism in NCL of pigeons.

关键词： Coherence Task analysis Information processing Animals Light emitting diodes Time factors Time-frequency analysis

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Comparative cytokine signatures and cognitive deficits in early-onset schizophrenia and adolescent major depression: Toward refined diagnostic classification frameworks

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Journal of affective disorders 2025年 389卷

作者： Xing Luo Jiangwen Dong Tao Li Affiliated Mental Health Centre Hangzhou Seventh People's Hospital Zhejiang University School of Medicine 305 Tianmushan Road Hangzhou Zhejiang 310013 China. Electronic address: ***@***. Affiliated Mental Health Centre Hangzhou Seventh People's Hospital Zhejiang University School of Medicine 305 Tianmushan Road Hangzhou Zhejiang 310013 China. Affiliated Mental Health Centre Hangzhou Seventh People's Hospital Zhejiang University School of Medicine 305 Tianmushan Road Hangzhou Zhejiang 310013 China Liangzhu Laboratory MOE Frontier Science Center for Brain Science and Brain-Machine Integration State Key Laboratory of Brain-machine Intelligence Zhejiang University Hangzhou 311121 China NHC and CAMS Key Laboratory of Medical Neurobiology Zhejiang University Hangzhou 310058 China Nanhu Brain-computer Interface Institute Hangzhou 311100 China. Electronic address: Xuntao26@***.

BACKGROUND:This study analyzed plasma cytokine patterns in individuals with schizophrenia (SCZ), major depressive disorder (MDD), and healthy controls, explored the link between cytokine levels and cognitive function, and created machine learning models to evaluate the diagnostic potential of cytokine and cognitive assessments. METHODS:This study involved 64 early-onset SCZ patients, 53 adolescents with MDD, and 33 healthy controls. The plasma concentrations of 44 cytokines were measured using the LUMINEX multiplex assay. Cognitive function was tested with the Cambridge Neuropsychological Test Automated Battery. Random Forest and Extreme Gradient Boosting models were used for classification, with their effectiveness evaluated via ROC curve analysis. RESULTS:SCZ patients exhibited significantly elevated levels of CCL11, IL-2 and IL-13, while MDD patients displayed increased CXCL2 and G-CSF levels but decreased CCL20 and CCL11 levels. SCZ patients showed significant cognitive impairments compared to healthy controls. Elevated CCL11 were associated with poorer memory accuracy, and higher G-CSF were linked to worse executive function. The XGBoost model was more sensitive in classifying MDD than the Random Forest model, but both struggled to differentiate SCZ patients from healthy controls due to low specificity. CONCLUSION:Early-onset SCZ and adolescent MDD patients showed unique peripheral cytokine profiles, with SCZ patients experiencing significant cognitive deficits. The cytokine CCL11 was found to have a significant association with cognitive dysfunction. Cytokine levels and cognitive assessments may serve as potential biomarkers for the diagnosis of MDD.

关键词： CCL11 Cognitive impairment Cytokines Depression Schizophrenia

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Back Cover: Quantum Mechanical Tunnelling Probes With Redox Cycling for Ultra-Sensitive Detection of Biomolecules (Angew. Chem. Int. Ed. 23/2025)

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Angewandte Chemie International Edition 2025年第23期64卷

作者： Long Yi Tao Jiang Ren Ren Ji Cao Joshua B. Edel Aleksandar P. Ivanov Longhua Tang State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and Engineering Zhejiang University Hangzhou 310027 China Nanhu Brain-Computer Interface Institute Second Affiliated Hospital School of Medicine Hangzhou Zhejiang 311100 China Department of Chemistry Molecular Science Research Hub Imperial College London White City Campus 82 Wood Lane London W12 0BZ UK Institute of Pharmacology and Toxicology Zhejiang Province Key Laboratory of Anti-Cancer Drug Research College of Pharmaceutical Sciences Zhejiang University Hangzhou China

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Back Cover: Quantum Mechanical Tunnelling Probes With Redox Cycling for Ultra-Sensitive Detection of Biomolecules (Angew. Chem. 23/2025)

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Angewandte Chemie 2025年第23期137卷

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