检索结果-内蒙古大学图书馆

A weighted dispersion entropy based EEG analysis for ADHD diagnosis

Biomedical Signal Processing and Control 2025年 108卷

作者： Ullah, Muhammad Zakir Ta, Na Yu, Dongchuan Key Laboratory of Child Development and Learning Science of Ministry of Education School of Biological Science and Medical Engineering Southeast University Nanjing China Henan Provincial Medical Key Lab of Child Developmental Behavior and Learning The Third Affiliated Hospital of Zhengzhou University Henan Zhengzhou China

Background: Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental condition that may exhibit atypical electroencephalogram (EEG) across certain cerebral regions. Recently, entropy has been widely used to quantify the aberrant complexity of EEG signals in ADHD patients. Even though a number of entropy algorithms have been developed, there are still some technical drawbacks, such as failing to discern the individual contribution of each EEG channel to the diagnosis of ADHD. Methods: This study suggested a new entropy called weighted dispersion entropy (WDE) to determine the specific brain channels that contribute the most to group differences between ADHD and typically developing (TD) children. A Gated Recurrent Unit (GRU) based classifier was constructed, where WDE values in some channels of interest were taken as feature parameters. To illustrate the feasibility of the suggested technique, this study used a publicly accessible database that included the EEG data from 61 children with ADHD (aged 7–12 years) and 60 TD children (aged 7–12 years). Results: Findings showed that WDE can be applied to determine which channels and brain lobes may exhibit higher contribution rates (weights) in distinguishing between the ADHD and TD groups. Additionally, the GRU model achieved a noteworthy accuracy of 93.20% and the highest ROC of 98% for ADHD classification. Conclusion: The WDE, with the ability to identify contributing channels, reinforces the credibility and utility of WDE as a potential biomarker to capture the intricacies of EEG signals and differentiate between ADHD and TD children. © 2025

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Evaluating the strength of functional connectivity during the resting state

Evaluating the strength of functional connectivity during th...

引用

2011 7th International Conference on Natural Computation, ICNC 2011

作者： Wang, Hui Lu, Zuhong Key Lab of Child Development and Learning Science Southeast University Ministry of Education Nanjing China

ISBN: (纸本)9781424499533

Knowledge about the intrinsic functional architecture of the human brain has been greatly expanded by the study of the spontaneous fluctuations observed during the resting-state. Recently, there has been a surge of interest in resting state functional connectivity (RSFC) which has been used to identify large-scale brain networks including the default-mode network (DMN). When these results are thresholded for statistical significance, a considerable amount of gray matter remains uncharacterized. For both potential clinical and basic research purposes, we present a method for evaluating the strength of functional connectivity throughout the entire brain. The value of the method comes from its ability to portray the full picture of functional connection without any prior assumptions on possible membership in any of the major brain networks. After thresholding, a map of the strength of functional connectivity averaged over 30 healthy subjects exhibited striking similarity to the structural connectivity maps of Hagman et al Our comprehensive assessment demonstrates the predominance of the DMN, in agreement with Fransson's voxel-wise frequency analysis. Comparison of lobar ROIs demonstrated that the functional connectivity in parietal areas is significantly higher than in frontal areas (p -6). As a complementary approach to other methods such as ICA, future application of our comprehensive brain analysis includes mapping and characterizing changes in functional connection in both health and disease. © 2011 IEEE.

关键词： Brain mapping

来源：评论

学校读者我要写书评

暂无评论

On dynamic weighting of data in clustering with K-alpha means

On dynamic weighting of data in clustering with K-alpha mean...

引用

2010 20th International Conference on Pattern Recognition, ICPR 2010

作者： Chen, Si-Bao Wang, Hai-Xian Luo, Bin Key Lab. of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei Anhui 230039 China Key Lab. of Child Development and Learning Science Research Center for Learning Science Southeast University Nanjing Jiangsu 210096 China

ISBN: (纸本)9780769541099

Although many methods of refining initialization have appeared, the sensitivity of K-Means to initial centers is still an obstacle in applications. In this paper, we investigate a new class of clustering algorithm, K-Alpha Means (KAM), which is insensitive to the initial centers. With K-Harmonic Means as a special case, KAM dynamically weights data points during iteratively updating centers, which deemphasizes data points that are close to centers while emphasizes data points that are not close to any centers. Through replacing minimum operator in K-Means by alpha-mean operator, KAM significantly improves the clustering performances. © 2010 IEEE.

关键词： Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

On alpha-mean of Kullback-Leibler divergences for subspace selection

On alpha-mean of Kullback-Leibler divergences for subspace s...

引用

2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Chen, Si-Bao Wang, Hai-Xian Zhang, Xing-Yi Luo, Bin Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei 230039 China Key Lab of Child Development and Learning Science of Ministry of Education Research Center for Learning Science Southeast University Nanjing Jiangsu 210096 China

ISBN: (纸本)9781612841816

Fisher's linear discriminant analysis (FLDA) is one of the most well-known linear subspace selection methods. However, FLDA suffers from the class separation problem. The projection to a subspace tends to merge close class pairs. Recent results show that maximizing the geometric mean or harmonic mean of Kullback-Leibler (KL) divergences of class pairs can significantly reduce this problem. In this paper, to further reduce the class separation problem, the alpha-mean of divergences as a framework is proposed for subspace selection, with arithmetic mean, geometric mean and harmonic mean as special cases. We named it the maximization of the alpha-mean of all pairs of KL divergences (MAMD) criterion. A quasi-Newton method is applied to solve the optimization problem. Experiments on synthetic data and two datasets in UCI machine learning repository show the validity of MAMD. © 2011 IEEE.

关键词： Newton-Raphson method

来源：评论

学校读者我要写书评

暂无评论

Subspace selection using semi-supervised harmonic mean of Kullback-Leibler divergences

Subspace selection using semi-supervised harmonic mean of Ku...

引用

2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010

作者： Chen, Si-Bao Wang, Hai-Xian Luo, Bin Key Lab of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei Anhui 230039 China Key Lab of Child Development and Learning Science of Ministry of Education Research Center for Learning Science Southeast University Nanjing Jiangsu 210096 China

ISBN: (纸本)9781424459346

In many areas of pattern recognition and machine learning, subspace selection is an essential step. Fisher's linear discriminant analysis (LDA) is one of the most well-known linear subspace selection methods. However, LDA suffers from the class separation problem. The projection to a subspace tends to merge close class pairs. A recent result, named maximizing the geometric mean of Kullback-Leibler (KL) divergences of class pairs (MGMD), can significantly reduce the class separation problem. Furthermore, maximizing the harmonic mean of Kullback-Leibler (KL) divergences of class pairs (MHMD) emphasizes smaller divergences more than MGMD, and deals with the class separation problem more effectively. However, in many applications, lab.led data are very limited while unlab.led data can be easily obtained. The estimation of divergences of class pairs is unstable using inadequate lab.led data. To take advantage of unlab.led data for subspace selection, semi-supervised MHMD (SSMHMD) is proposed using graph Laplacian as normalization. Quasi-Newton method is adopted to solve the optimization problem. Experiments on synthetic data and real image data show the validity of SSMHMD. ©2010 IEEE.

关键词： Discriminant analysis

来源：评论

学校读者我要写书评

暂无评论

Sparse-network based framework for detecting the overlapping community structure of brain functional network 8th

Sparse-network based framework for detecting the overlapping...

引用

8th International Conference on Brain Inspired Cognitive Systems, BICS 2016

作者： Li, Xuan Hu, Zilan Wang, Haixian Key Lab of Child Development and Learning Science of Ministry of Education Research Center for Learning Science Southeast University NanjingJiangsu210096 China School of Mathematics and Physics Anhui University of Technology MaanshanAnhui243002 China

ISBN: (纸本)9783319496849

Community structure is one of the important features of complex brain network. Recently, major efforts have been made to investigate the non-overlapping community structure of brain network. However, an important fact is often ignored that the community structures of most real networks are overlapping. In this paper, we propose a novel method called sparse symmetric non-negative matrix factorization (ssNMF) to detect the overlapping community structure of the brain functional network, by adding a sparse constraint on the standard symmetric NMF (symNMF). Besides, we apply a sparse-network based framework by using non-negative adaptive sparse representation (NASR) to construct a sparse brain network. Simulated fMRI experimental results show that NMF-based methods achieve higher accuracy than methods of modularity optimization, normalized cuts and affinity propagation. Results of real fMRI experiments also lead to meaningful findings, which can help to promote the understanding of brain functional systems. © Springer International Publishing AG 2016.

关键词： Non-negative matrix factorization

来源：评论

学校读者我要写书评

暂无评论

Research on panoramie vision system of mobile robot 27

Research on panoramie vision system of mobile robot

引用

27th Chinese Control and Decision Conference, CCDC 2015

作者： Yao, Qiaobing Yu, Hualong Yang, Wankou Sun, Changyin School of Autmation Southeast University Nanjing China Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast Univerity Nanjing China Key Laboratory of Child Development and Learning Science of Ministry of Education Southeast University Nanjing China

ISBN: (纸本)9781479970179

This paper presents an imaging method for 360-degree panoramic view based on four wide angle cameras. In order to complete the image mosaic, all the parameters such as focal length, principal point and distortion coefficients, etc are calibrated by our proposed calibration toolbox. Then, our approach does not adopt the scheme which stitching all the images to the surrounding view after distortion correction. The proposed method directly calculates the mapping relationship between the wide-angle lens images and cylindrical projection images to generate lookup tables which can greatly simplifies the computation and reduces the loss of information in each image. Finally, panoramic image is composed by image registration and image fusion. Experimental results show that this method is valid. © 2015 IEEE.

关键词： Cylindrical projection Image mosaic. Camera calibration LUTs

来源：评论

学校读者我要写书评

暂无评论

RETRACTED ARTICLE: Flow injection spectrophotometry determination of salivary a-amylase for stress evaluation

RETRACTED ARTICLE: Flow injection spectrophotometry determin...

引用

作者： Chen, Li-Qin Kang, Xue-Jun Zhou, Xiao-Ling Gu, Zhong-Ze Lu, Zu-Hong Key Laboratory of Child Development and Learning Science Research Center for Learning Science Southeast University Nanjing 210096 China State Key Laboratory of Molecular and Biomolecular Electronics Southeast University Nanjing 210096 China Lab of Environment and Biosafety Research Institute of Southeast University in Suzhou Dushu Lake Higher Education Town Suzhou 215103 China

ISBN: (纸本)9781424450893

Salivary a-amylase is a hot research area of stress; many studies have confirmed that the substance can be used as the marker of stress-related autonomic nervous system. This paper presents a fast and simple method for determination of salivary α-amylase by flow injection spectrophotometry. The cycle of a sample using this method is only 58s; this method can be automated operation with a high precision, which can avoid big differences of determination caused by improper manual control on the operation time. The established method was successfully applied to detection of salivary samples from an exercise stress test. The stress process was better monitored by this method with good reproducibility.. © 2011 IEEE.

关键词： Amylases

来源：评论

学校读者我要写书评

暂无评论

miR-429-3p mediates memory decline by targeting MKP-1 to reduce surface GluA1- containing AMPA receptors in a mouse model of Alzheimer’s disease

引用

Acta Pharmaceutica Sinica B 2024年第2期14卷 635-652页

作者： Man Luo Yayan Pang Junjie Li Lilin Yi Bin Wu Qiuyun Tian Yan He Maoju Wang Lei Xia Guiqiong He Weihong Song Yehong Du Zhifang Dong Pediatric Research Institute Ministry of Education Key Laboratory of Child Development and DisordersNational Clinical Research Center for Child Health and DisordersChina International Science and Technology Cooperation Base of Child Development and Critical DisordersChongqing Key Laboratory of Translational Medical Research in Cognitive Development and Learning and Memory DisordersChildren’s Hospital of Chongqing Medical UniversityChongqing 400014China Department of Anatomy Basic Medical CollegeChongqing Medical UniversityChongqing 400016China Townsend Family Laboratories Department of PsychiatryThe University of British ColumbiaVancouver BC V6T 1Z3Canada Oujiang Laboratory(Zhejiang Lab for Regenerative Medicine Vision and Brain Health)Institute of AgingKey Laboratory of Alzheimer’s Disease of Zhejiang ProvinceZhejiang Clinical Research Center for Mental DisordersSchool of Mental Health and the Affiliated Kangning HospitalWenzhou Medical UniversityWenzhou 325000China Institute for Brain Science and Disease of Chongqing Medical University Chongqing 400016China

Alzheimer ’s disease(AD) is a leading cause of dementia in the ***-activated protein kinase phosphatase 1(MKP-1) plays a neuroprotective role in ***,the molecular mechanisms underlying the effects of MKP-1 on AD have not been extensively ***(miRNAs) regulate gene expression at the post-transcriptional level,thereby repressing mRNA ***,we reported that the microRNA-429-3p(miR-429-3p) was significantly increased in the brain of APP23/PS45 AD model mice and N2AAPPAD model *** further found that miR-429-3p could downregulate MKP-1 expression by directly binding to its 3’-untranslated region(3’ UTR).Inhibition of miR-429-3p by its antagomir(A-miR-429) restored the expression of MKP-1 to a control level and consequently reduced the amyloidogenic processing of APP and Aβ *** importantly,intranasal administration of A-miR-429 successfully ameliorated the deficits of hippocampal CA1 long-term potentiation and spatial learning and memory in AD model mice by suppressing extracellular signal-regulated kinase(ERK1/2)-mediated GluAl hyperphosphorylation at Ser831 site,thereby increasing the surface expression of GluAl-containing α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptors(AMPARs).Together,these results demonstrate that inhibiting miR-429-3p to upregulate MKP-1 effectively improves cognitive and synaptic functions in AD model mice,suggesting that miR-429/MKP-1 pathway may be a novel therapeutic target for AD treatment.

关键词： Alzheimer's disease MKP-1 miR-429-3p AMPAreceptor learning and memory Long-term potentiation

来源：评论

学校读者我要写书评

暂无评论

The effects of positive emotion on working memory:researches from ERPS

The effects of positive emotion on working memory:researches...

引用

中国神经科学学会第九届全国学术会议暨第五届会员代表大会

作者： Yun-Ying DONG Xin GAO Ren-Lai ZHOU Pan LIU Key Laboratory of Child Development and Learning Science (Southeast University) Ministry of Education Nanjing 210096 China Key Laboratory of Child Development and Learning Science (Southeast University) Ministry of Education Nanjing 210096 China State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing 100875 China Beijing Key Lab of Applied Experimental Psychology Beijing Normal University Beijing 100875 China State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing 100875 China

Objective Working memory is divided into separable subsystems, spatial working memory and verbal working memory involving manipulation and retention ofvisuospatial and verbal information *** present study is to assess the influences of positive emotion on spatial and verbal working *** We applied the modified DMS paradigm ("picture-target-delay-probe" 4 stages for an experimental unit) with the positive and neutral picture from the International Affective Picture System (IAPS; Lang, Bradley & Cuthbert, 1999), using ERP technology in healthy *** (a) Positive emotion impairs low load spatial working memory task, not high load, which is revealed by the lower P3 and slow wave in the maintaining phase, and the higher of early LPP, late LPP, and slow wave in the matching phase in the low load spatial working memory task.(b) Positive emotion in a certain extent facilitates both high and low load verbal working memory, which is revealed by the shorter task reaction time, and the higher mean amplitude of P2 in the decoding phase, the higher P3 and slow wave in the maintaining phase, and the lower LPP in the matching *** ERP components respectively reflected attention allocation, attention maintenance, and executive control processes of working *** This research finds the selective effects of positive emotion on working memory, and the interaction with working memory task load, which could primarily demonstrate the potential mechanism of how positive emotion affects working memory.

关键词： positive emotion spatial working memory verbal working memory task load

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：