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Stochastic fluctuations of permittivity coupling regulate seizure dynamics in partial epilepsy

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Science China(Technological Sciences) 2017年第7期60卷 995-1002页

作者： GUO DaQing XIA Chuan WU ShengDun ZHANG TianJiao ZHANG YangSong XIA Yang yao dezhong Key Laboratory for Neurolnformation of Ministry of Education School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengdu 610054China Center for Information in Medicine University of Electronic Science and Technology of ChinaChengdu 610054China School of Computer Science and Technology Southwest University of Science and TechnologyMianyang 621002China

Partial epilepsy is characterized by recurrent seizures that arise from a localized pathological brain region. During the onset of partial epilepsy, the seizure evolution commonly exhibits typical timescale separation phenomenon. This timescale separation behavior can be mimicked by a paradigmatic model termed as Epileptor, which consists of coupled fast-slow neural populations via a permittivity variable. By incorporating permittivity noise into the Epileptor model, we show here that stochastic fluctuations of permittivity coupling participate in the modulation of seizure dynamics in partial epilepsy. In particular, introducing a certain level of permittivity noise can make the model produce more comparable seizure-like events that capture the temporal variability in realistic partial seizures. Furthermore, we observe that with the help of permittivity noise our stochastic Epileptor model can trigger the seizure dynamics even when it operates in the theoretical nonepileptogenic regime. These findings establish a deep mechanistic understanding on how stochastic fluctuations of permittivity coupling shape the seizure dynamics in partial epilepsy,and provide insightful biological implications.

关键词： partial epilepsy seizures dynamics Epileptor model slow permittivity variable stochastic fluctuations of permittivity coupling

基于四阶累积量矩阵子空间分解的脑电逆问题算法

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生物医学工程学杂志 2000年第2期17卷 174-178页

作者：尧德中电子科技大学自动化系成都610054

根据头表观测电位反演脑电源的空间位置是脑电研究中的一个重要问题。基于四阶累积量矩阵的子空间分解，提出了一种新的脑电逆问题算法。与现有的基于二阶统计量矩阵的子空间分解算法相比，二阶方法存在对空间相关噪音敏感的问题，而四... 详细信息

根据头表观测电位反演脑电源的空间位置是脑电研究中的一个重要问题。基于四阶累积量矩阵的子空间分解，提出了一种新的脑电逆问题算法。与现有的基于二阶统计量矩阵的子空间分解算法相比，二阶方法存在对空间相关噪音敏感的问题，而四阶方法可以抑制在时间方向上呈高斯分布，在空间方向相关的噪音，从而显示了四阶方法的较好性能。

关键词：脑电图逆问题四阶累积量矩阵子空间分解

基于自由界面影响与偏振特性的纵横波分离方法

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石油地球物理勘探 1998年第2期33卷 198-203页

作者：尧德中电子科技大学自动化系

以往分离纵、横渡仅考虑了纵横波的编报特性，未考虑自由界面的影响。实际上入射到自由界面的纵、横波是客观存在的。为此平文试图在纵、横波分离中综合考虑偏振特性与自由界面散射特性。文中理论指导给出的界式．既可体现纵、横渡的动... 详细信息

以往分离纵、横渡仅考虑了纵横波的编报特性，未考虑自由界面的影响。实际上入射到自由界面的纵、横波是客观存在的。为此平文试图在纵、横波分离中综合考虑偏振特性与自由界面散射特性。文中理论指导给出的界式．既可体现纵、横渡的动力学偏振特性，又可自动消除自由界面的影响。对实际资料的试算收到了良好的效果，说明该方法是可行的。

关键词：地震数据处理地震波自由界面偏振特性

Sleep deprivation reorganizes the dynamic configurations of default mode network activity during recovery sleep

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Science China(Technological Sciences) 2022年第7期65卷 1456-1469页

作者： CUI Yan WU ShengDun ZHAO Shi LONG Tianyao JIAN ZhaoXin YU Shuang ZHANG Ge BISWAL Bharat GUO DaQing XIA Yang yao dezhong The Clinical Hospital of Chengdu Brain Science Institute MOE Key Lab for Neuro InformationCentre for Information in MedicineSchool of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengdu 611731China Department of Neurosurgery Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengdu 610072China Chinese Academy of Sciences Sichuan Translational Medicine Research HospitalChengdu 610072China Research Unit of Neuro Information(2019RU035) Chinese Academy of Medical SciencesChengdu 611731China Department of Biomedical Engineering New Jersey Institute of TechnologyNewarkNew Jersey 07102USA School of Electrical Engineering Zhengzhou UniversityZhengzhou 450001China

Sleep deprivation causes disturbances of the neural activity, leading to the impairment of brain functions. However, the exact mechanism of sleep deprivation and how it affects the dynamics of brain activity during the recovery sleep remains unclear. In the current study, we performed sleep deprivation experiments on ten adult rats, and recorded the local field potentials from default mode network(DMN) regions during sleep before and after sleep deprivation. The DMN dynamics was assessed with the configurations of coactive micropatterns(CAMPs) using our previously proposed CAMP method. Our analysis revealed that the effects of sleep deprivation on DMN dynamics in the slow-wave sleep(SWS) state and the rapid eye-movement sleep(REM)state were disparate. Dynamic configurations of DMN activity in the SWS state were significantly impaired after sleep deprivation, with increased occurrence of low-activity CAMP and reorganized transition structure across three CAMPs. Moreover,enhanced functional connectivity and improved efficiencies in all CAMP networks were observed during the SWS state in the recovery sleep. However, there were no significant alterations in either DMN dynamics or CAMP network structures in the REM sleep state after sleep deprivation. Our results described the alterations of DMN dynamics in different sleep states after sleep deprivation, and illustrated the differential effects of sleep deprivation on two sleep states. These findings demonstrated the underlying neural mechanisms of the effects of sleep deprivation on DMN activity during sleep and increased our understanding of the physiological roles of the DMN in maintain sleep homeostasis after sleep deprivation.

关键词： sleep deprivation sleep state default mode network coactive micropattern dynamic configuration efficiency

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脑-机接口:如何从实验室到现实场景?

生物医学工程学杂志 2021年第3期38卷 405-408页

作者：尧德中电子科技大学生命科学与技术学院成都610054 四川省脑科学与类脑智能研究院成都611731 中国医学科学院神经信息创新单元(2019RU035) 成都611731

脑-机接口(BCI)可以概括为利用在线脑信息进行脑与计算机通讯的系统。BCI经历了近半个世纪的发展,虽然在民众中已有了很高的知晓度,但BCI在实际场景中的应用仍然十分有限。本专辑邀请了国内部分脑-机接口团队,报告了他们推进BCI从实验... 详细信息

脑-机接口(BCI)可以概括为利用在线脑信息进行脑与计算机通讯的系统。BCI经历了近半个世纪的发展,虽然在民众中已有了很高的知晓度,但BCI在实际场景中的应用仍然十分有限。本专辑邀请了国内部分脑-机接口团队,报告了他们推进BCI从实验室到现实场景的努力。本文概述了相关论文的主要情况,并展望了BCI技术的未来发展。

关键词：脑-机接口现实场景未来展望

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均匀导电球模型中2^n极子电位的解析解

中国生物医学工程学报 1998年第2期17卷 97-102页

作者：尧德中电子科技大学自动化系

本文借助电位多极展开的思想，发展了一种计算均匀导电球模型中２ｎ极子电位的解析方法，并具体给出了常见的偶极子（ｎ＝１）和四极子（ｎ＝２）两种特殊情况的电位公式。这些公式可用于以均匀导电球模型为基础的，脑电。

关键词： 2^n极子球模型解析解脑电图心电图电位

Multimodal collaborative BCI system based on the improved CSP feature extraction algorithm

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Virtual Reality & Intelligent Hardware 2022年第1期4卷 22-37页

作者： Cunbo LI Ning LI Yuan QIU Yueheng PENG Yifeng WANG Lili DENG Teng MA Fali LI dezhong yao Peng XU The Clinical Hospital of Chengdu Brain Science Institute MOE Key Lab for Neuroinformation and School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengdu 610054China School of Intelligent Engineering Zhengzhou University of AeronauticsZhengzhou 450015China

Background As a novel approach for people to directly communicate with an external device,the study of brain-computer interfaces(BCIs)has become ***,similar to the real-world scenario,where individuals are expected to work in groups,the BCI systems should be able to replicate group *** We proposed a 4-order cumulants feature extraction method(CUM4-CSP)based on the common spatial patterns(CSP)*** experiments conducted using motion visual evoked potentials(mVEP)EEG data verified the robustness of the proposed *** addition,to freely choose paradigms,we adopted the mVEP and steady-state visual evoked potential(SSVEP)paradigms and designed a multimodal collaborative BCI system based on the proposed CUM4-CSP *** feasibility of the proposed multimodal collaborative system framework was demonstrated using a multiplayer game controlling system that simultaneously facilitates the coordination and competitive control of two users on external *** verify the robustness of the proposed scheme,we recruited 30 subjects to conduct online game control experiments,and the results were statistically *** The simulation results prove that the proposed CUM4-CSP algorithm has good noise *** online experimental results indicate that the subjects could reliably perform the game confrontation operation with the selected BCI *** The proposed CUM4-CSP algorithm can effectively extract features from EEG data in a noisy ***,the proposed scheme may provide a new solution for EEG-based group BCI research.

关键词： Collaborative brain-computer interface(BCI) Motion visual evoked potentials(mVEP) Steady-state visual evoked potential(SSVEP) Game controlling system

The Decision Strategies of Adolescents with Different Emotional Stabilities in Unfair Situations

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Neuroscience Bulletin 2021年第10期37卷 1481-1486页

作者： Yajing Si Lin Jiang Chanlin Yi Qi Zhang Cunbo Li Jing Yu Peiyang Li Qiang Liu Feng Wan Fali Li dezhong yao Peng Xu The Clinical Hospital of Chengdu Brain Science Institute Ministry of Education Key Lab for NeuroinformationUniversity of Electronic Science and Technology of ChinaChengdu 611731China School of Life Science and Technology Center for Information in MedicineUniversity of Electronic Science and Technology of ChinaChengdu 611731China School of Psychology Xinxiang Medical UniversityXinxiang 453003China Chengdu Mental Health Center The Fourth People’s Hospital of ChengduChengdu 610000China Faculty of Psychology Southwest UniversityChongqing 400715China School of Bioinformatics Chongqing University of Posts and TelecommunicationsChongqing 400065China Institute for Brain and Psychological Sciences Sichuan Normal UniversityChengdu 610101China Faculty of Science and Technology University of MacaoMacao 999078Special Administrative RegionChina

Dear Editor,Neuroticism,a crucial dimension of human personality,fluctuates from emotional stability to instability[1].Compared to those with emotional stability,individuals with emotional instability show stronger attentional bias to negative stimuli,lower life satisfaction,and tend to perform poorly(i.e.,fewer correct responses)in cognitive *** instance,individuals with different emotional stabilities experience distinct decision-making responses,especially when facing inequity,as the unfairness induces typical conflict between self-interest and fairness[2].

关键词： stability instance dimension

Transcriptomic and Macroscopic Architectures of Multimodal Covariance Network Reveal Molecular–Structural–Functional Co-alterations

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Research 2024年第1期2023卷 471-487页

作者： Lin Jiang Yueheng Peng Runyang He Qingqing Yang Chanlin Yi Yuqin Li Bin Zhu Yajing Si Tao Zhang Bharat B.Biswal dezhong yao Lan Xiong Fali Li Peng Xu The Clinical Hospital of Chengdu Brain Science Institute MOE Key Lab for NeuroinformationUniversity of Electronic Science and Technology of ChinaChengdu 611731China School of Life Science and Technology Center for Information in BioMedicineUniversity of Electronic Science and Technology of ChinaChengdu 611731China School of Psychology Xinxiang Medical UniversityXinxiang 453003China School of Science Xihua UniversityChengdu 610039China Department of Biomedical Engineering New Jersey Institute of TechnologyNewarkNJUSA School of Electrical Engineering Zhengzhou UniversityZhengzhou 450001China Research Unit of NeuroInformation Chinese Academy of Medical Sciences2019RU035ChengduChina Montreal Neurological Institute and Hospital McGill UniversityMontrealQCCanada Department of Electrical and Computer Engineering Faculty of Science and TechnologyUniversity of MacaoMacaoChina Radiation Oncology Key Laboratory of Sichuan Province 610041 ChengduChina Rehabilitation Center Qilu Hospital of Shandong UniversityJinan 250012China

Human cognition is usually underpinned by intrinsic structure and functional neural co-activation in spatially distributed brain *** to lacking an effective approach to quantifying the covarying of structure and functional responses,how the structural–functional circuits interact and how genes encode the relationships,to deepen our knowledge of human cognition and disease,are still ***,we propose a multimodal covariance network(MCN)construction approach to capture interregional covarying of the structural skeleton and transient functional activities for a single *** further explored the potential association between brain-wide gene expression patterns and structural–functional covarying in individuals involved in a gambling task and individuals with major depression disorder(MDD),adopting multimodal data from a publicly available human brain transcriptomic atlas and 2 independent *** analysis showed a replicable cortical structural–functional fine map in healthy individuals,and the expression of cognition-and disease phenotype-related genes was found to be spatially correlated with the corresponding MCN *** analysis of cell type-specific signature genes suggests that the excitatory and inhibitory neuron transcriptomic changes could account for most of the observed correlation with task-evoked MCN differences.

关键词： alterations evoked spatially