检索结果-南通市图书馆

Decoding six basic emotions from brain Functional connectivity patterns

Science China(Life Sciences) 2023年第4期66卷 835-847页

作者： Chunyu Liu Yingying Wang Xiaoyue Sun Yizhou Wang Fang Fang School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health Peking UniversityBeijing 100871China Department of Psychology and Behavioral Sciences Zhejiang UniversityHangzhou 310028China IDG/McGovern Institute for Brain Research Peking UniversityBeijing 100871China Peking-Tsinghua Center for Life Sciences Peking UniversityBeijing 100871China Center on Frontiers of Computing Studies School of Computer SciencePeking UniversityBeijing 100871China

Although distinctive neural and physiological states are suggested to underlie the six basic emotions,basic emotions are often indistinguishable from functional magnetic resonance imaging(f MRI)voxelwise activation(VA)patterns.Here,we hypothesize that Functional connectivity(FC)patterns across brain regions may contain emotion-representation information beyond VA patterns.We collected whole-brain f MRI data while human participants viewed pictures of faces expressing one of the six basic emotions(i.e.,anger,disgust,fear,happiness,sadness,and surprise)or showing neutral expressions.We obtained FC patterns for each emotion across brain regions over the whole brain and applied multivariate pattern decoding to decode emotions in the FC pattern representation space.Our results showed that the whole-brain FC patterns successfully classified not only the six basic emotions from neutral expressions but also each basic emotion from other emotions.An emotion-representation network for each basic emotion that spanned beyond the classical brain regions for emotion processing was identified.Finally,we demonstrated that within the same brain regions,FC-based decoding consistently performed better than VA-based decoding.Taken together,our findings revealed that FC patterns contained emotional information and advocated for paying further attention to the contribution of FCs to emotion processing.

关键词： decoding basic emotions Functional connectivity voxelwise activation multivariate pattern analysis

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Correlations between hippocampal Functional connectivity,structural changes,and clinical data in patients with relapsing-remitting multiple sclerosis:a case-control study using multimodal magnetic resonance imaging

引用

Neural Regeneration Research 2022年第5期17卷 1115-1124页

作者： Xin-Quan Gu Ying Liu Jie-Bing Gu Lin-Fang Li Ling-Ling Fu Xue-Mei Han China-Japan Union Hospital of Jilin University ChangchunJilin ProvinceChina First Department of Neurology China-Japan Union Hospital of Jilin UniversityChangchunJilin ProvinceChina Cardre’s Ward Changchun Central hospitalChangchunJilin ProvinceChina

Multiple sclerosis is associated with structural and functional brain alterations leading to cognitive impairments across multiple domains including attention,memory,and the speed of information processing.The hippocampus,which is a brain important structure involved in memory,undergoes microstructural changes in the early stage of multiple sclerosis.In this study,we analyzed hippocampal function and structure in patients with relapsing-remitting multiple sclerosis and explored correlations between the Functional connectivity of the hippocampus to the whole brain,changes in local brain function and microstructure,and cognitive function at rest.We retrospectively analyzed data from 20 relapsing-remitting multiple sclerosis patients admitted to the Department of Neurology at the China-Japan Union Hospital of Jilin University,China,from April 2015 to November 2019.Sixteen healthy volunteers were recruited as the healthy control group.All participants were evaluated using a scale of extended disability status and the Montreal cognitive assessment within 1 week before and after head diffusion tensor imaging and functional magnetic resonance imaging.Compared with the healthy control group,the patients with relapsing-remitting multiple sclerosis had lower Montreal cognitive assessment scores and regions of simultaneously enhanced and attenuated whole-brain Functional connectivity and local Functional connectivity in the bilateral hippocampus.Hippocampal diffusion tensor imaging data showed that,compared with the healthy control group,patients with relapsing-remitting multiple sclerosis had lower hippocampal fractional anisotropy values and higher mean diffusivity values,suggesting abnormal hippocampal structure.The left hippocampus whole-brain Functional connectivity was negatively correlated with the Montreal cognitive assessment score(r=-0.698,P=0.025),and whole-brain Functional connectivity of the right hippocampus was negatively correlated with extended disability status scale score(r=-0.649,P=0.042).The mean diffus

关键词： cognitive impairment diffusion tensor imaging fractional anisotropy Functional connectivity functional magnetic resonance imaging hippocampus local consistency low frequency oscillation amplitude mean diffusivity multiple sclerosis neurodegeneration

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Altered intra- and inter-network brain Functional connectivity in upper-limb amputees revealed through independent component analysis

引用

Neural Regeneration Research 2022年第12期17卷 2725-2729页

作者： Bing-Bo Bao Hong-Yi Zhu Hai-Feng Wei Jing Li Zhi-Bin Wang Yue-Hua Li Xu-Yun Hua Mou-Xiong Zheng Xian-You Zheng Department of Orthopedic Surgery Shanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghaiChina Institute of Diagnostic and Interventional Radiology Shanghai Jiao Tong University Affiliated Sixth People’s HospitalShanghaiChina Department of Traumatology and Orthopedics Yueyang HospitalShanghai University of Traditional Chinese MedicineShanghaiChina

Although cerebral neuroplasticity following amputation has been observed, little is understood about how network-level functional reorganization occurs in the brain following upper-limb amputation. The objective of this study was to analyze alterations in brain network Functional connectivity(FC) in upper-limb amputees(ULAs). This observational study included 40 ULAs and 40 healthy control subjects;all participants underwent resting-state functional magnetic resonance imaging. Changes in intra-and inter-network FC in ULAs were quantified using independent component analysis and brain network FC analysis. We also analyzed the correlation between FC and clinical manifestations, such as pain. We identified 11 independent components using independent component analysis from all subjects. In ULAs, intra-network FC was decreased in the left precuneus(precuneus gyrus) within the dorsal attention network and left precentral(precentral gyrus) within the auditory network;but increased in the left Parietal_Inf(inferior parietal, but supramarginal and angular gyri) within the ventral sensorimotor network, right Cerebelum_Crus2(crus Ⅱ of cerebellum) and left Temporal_Mid(middle temporal gyrus) within the ventral attention network, and left Rolandic_Oper(rolandic operculum) within the auditory network. ULAs also showed decreased inter-network FCs between the dorsal sensorimotor network and ventral sensorimotor network, the dorsal sensorimotor network and right frontoparietal network, and the dorsal sensorimotor network and dorsal attention network. Correlation analyses revealed negative correlations between inter-network FC changes and residual limb pain and phantom limb pain scores, but positive correlations between inter-network FC changes and daily activity hours of stump limb. These results show that post-amputation plasticity in ULAs is not restricted to local remapping;rather, it also occurs at a network level across several cortical regions. This observation provides additional insights into the plasticity of brain netw

关键词： amputation Functional connectivity functional magnetic resonance imaging independent component analysis neuroimaging phantom pain phantom sensation resting-state networks

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Quantum entangled connectivity and Functional connectivity of human brain

引用

生物数学学报:英文版 2023年第8期16卷 109-120页

作者： You Zhai Linjie Qiu Chenxiang He Lina Wang Jian Zhai Research Center for Clinical Pharmacy Zhejiang Provincial Key Laboratory for Drug Evaluation and Clinical Research The First Affiliated Hospital Zhejiang University School of Medicine Hangzhou310003China School of Mathematical Sciences Zhejiang University Hangzhou 310027China The Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou 310003 China

Quantum process may conduce to brain function.Particularly,it was proposed that the Posner molecules,Cag(PO4)6,can serve as neural qubits,which can maintain quantum entanglement between phosphorus nuclei for quite a long time.We study the process from entangled Posner molecules to the synchronized activities of brain.A diffusion model of Posner molecules with appropriate boundary conditions and the mean first arriving time of Posner molecules from one area of brain to another are obtained.We establish linkages between the quantum entangled connectivity of brain and the remaining time of entangled Posner molecules before decoherence.Based on these results,we find direct correlations between entangled Posner molecules and the Functional connectivity of human brain.Furthermore,we discover that the quantum entangled connectivity depends on age.

关键词： Posner molecule diffusion model quantum entangled connectivity Functional connectivity

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

引用

Neural Regeneration Research 2019年第9期14卷 1544-1555页

作者： Laia Farras-Permanyer Nuria Mancho-Fora Marc Montala-Flaquer David Bartres-Faz Lidia Vaque-Alcazar Maribel Pero-Cebollero Joan Guardia-Olmos Quantitative Psychology Section Faculty of PsychologyUniversity of BarcelonaBarcelonaSpain Department of Medicine Faculty of Medicine and Healthy SciencesUniversity of BarcelonaBarcelonaSpain Institute of Neuroscience UB Institute of Complex SystemsUniversity of BarcelonaBarcelonaSpain Institut d’Investigacions Biomediques August Pi i Sunyer BarcelonaSpain

Age-related changes in the brain connectivity of healthy older adults have been widely studied in recent years,with some differences in the obtained results.Most of these studies showed decreases in general Functional connectivity,but they also found increases in some particular regions and areas.Frequently,these studies compared young individuals with older subjects,but few studies compared different age groups only in older populations.The purpose of this study is to analyze whole-brain Functional connectivity in healthy older adult groups and its network characteristics through functional segregation.A total of 114 individuals,48 to 89 years old,were scanned using resting-state functional magnetic resonance imaging in a resting state paradigm and were divided into six different age groups(connectivity were conducted.Our results showed progressive diminution in the Functional connectivity among different age groups and this was particularly pronounced between 75 and 79 years old.The oldest group(≥80 years old)showed a slight increase in Functional connectivity compared to the other groups.This occurred possibly because of compensatory mechanism in brain functioning.This study provides information on the brain functional characteristics of every age group,with more specific information on the functional progressive decline,and supplies methodological tools to study Functional connectivity characteristics.Approval for the study was obtained from the ethics committee of the Comision de Bioetica de la Universidad de Barcelona(approval No.PSI2012-38257)on June 5,2012,and from the ethics committee of the Barcelona’s Hospital Clinic(approval No.2009-5306 and 2011-6604)on October 22,2009 and April 7,2011 respectively.

关键词： brain connectivity resting state default mode network aging healthy Functional connectivity resting state network age groups

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Functional connectivity-Based Modelling Simulates SubjectSpecific Network Spreading Effects of Focal Brain Stimulation

引用

Neuroscience Bulletin 2018年第6期34卷 921-938页

作者： Xiaoyu Chen Chencheng Zhang Yuxin Li Pei Huang Qian Lv Wenwen Yu Shengdi Chen Bomin Sun Zheng Wang Institute of Neuroscience State Key Laboratory of NeuroscienceChinese Academy of Sciences Center for Excellence in Brain Science and Intelligence TechnologyShanghai Instittite for Biological SciencesChinese Academy of SciencesShanghai 200031China University of Chinese Academy of Sciences Beijing 100049China Department of functional Neurosurgery Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200025China Department of Radiology Huashan HospitalFudan UniversityShanghai 200040China Department of Neurology Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghai 200025China

Neurostimulation remarkably alleviates the symptoms in a variety of brain disorders by modulating the brain-wide network. However, how brain-wide effects on the direct and indirect pathways evoked by focal neurostimulation elicit therapeutic effects in an individual patient is unknown. Understanding this remains crucial for advancing neural circuit-based guidance to optimize candidate patient screening, pre-surgical target selection, and post-surgical parameter tuning. To address this issue, we propose a functional brain connectome-based modeling approach that simulates the spreading effects of stimulating different brain regions and quantifies the rectification of abnormal network topology in silico. We validated these analyses by pinpointing nuclei in the basal ganglia circuits as top-ranked targets for 43 local patients with Parkinson’s disease and 90 patients from a public database. Individual connectome-based analysis demonstrated that the globus pallidus was the best choice for 21.1% and the subthalamic nucleus for 19.5% of patients. Down-regulation of Functional connectivity(up to 12%) at these prioritized targets optimally maximized the therapeutic effects. Notably, the priority rank of the subthalamic nucleus significantly correlated with motor symptom severity(Unified Parkinson’s Disease Rating Scale III) in the local cohort. These findings underscore the potential of neural network modeling for advancing personalized brain stimulation therapy,and warrant future experimental investigation to validate its clinical utility.

关键词： Brain stimulation Functional connectivity Whole-brain modeling Parkinson's disease Individual variability

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Quantified assessment of deep brain stimulation on Parkinson’s patients with task fNIRS measurements and Functional connectivity analysis:a pilot study

引用

Chinese Neurosurgical Journal 2021年第3期7卷 171-181页

作者： Ningbo Yu Siquan Liang Jiewei Lu Zhilin Shu Haitao Li Yang Yu Jialing Wu Jianda Han College of Artificial Intelligence Nankai UniversityTianjinChina Tianjin Key Laboratory of Intelligent Robotics Nankai UniversityTianjinChina Department of Neurosurgery Tianjin Huanhu HospitalTianjinChina Department of Neurorehabilitation Tianjin Huanhu HospitalTianjinChina Department of Neurology Tianjin Huanhu HospitalTianjinChina Laboratory of Cerebral Vascular and Neurodegenerative Diseases Tianjin Neurosurgical InstituteTianjin Huanhu HospitalTianjinChina

Background:Deep brain stimulation(DBS)has proved effective for Parkinson’s disease(PD),but the identification of stimulation parameters relies on doctors’subjective judgment on patient behavior.Methods:Five PD patients performed 10-meter walking tasks under different brain stimulation frequencies.During walking tests,a wearable functional near-infrared spectroscopy(fNIRS)system was used to measure the concentration change of oxygenated hemoglobin(ΔHbO_(2))in prefrontal cortex,parietal lobe and occipital lobe.Brain Functional connectivity and global efficiency were calculated to quantify the brain activities.Results:We discovered that both the global and regional brain efficiency of all patients varied with stimulation parameters,and the DBS pattern enabling the highest brain efficiency was optimal for each patient,in accordance with the clinical assessments and DBS treatment decision made by the doctors.Conclusions:Task fNIRS assessments and brain Functional connectivity analysis promise a quantified and objective solution for patient-specific optimization of DBS treatment.Trial registration:Name:Accurate treatment under the multidisciplinary cooperative diagnosis and treatment model of Parkinson’s disease.Registration number is ChiCTR1900022715.Date of registration is April 23,2019.

关键词： Deep brain stimulation programming Parkinson’s disease Brain efficiency Functional connectivity

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Structural and Functional connectivity of the whole brain and subnetworks in individuals with mild traumatic brain injury:predictors of patient prognosis

引用

Neural Regeneration Research 2024年第7期19卷 1553-1558页

作者： Sihong Huang Jungong Han Hairong Zheng Mengjun Li Chuxin Huang Xiaoyan Kui Jun Liu Department of Radiology The Second Xiangya HospitalCentral South UniversityChangshaHunan ProvinceChina Department of Computer Science Aberystwyth UniversityAberystwythCeredigionUK Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhenGuangdong ProvinceChina School of Computer Science and Engineering Central South UniversityChangshaHunan ProvinceChina Department of Radiology Quality Control Center of Hunan ProvinceChangshaHunan ProvinceChina Clinical Research Center for Medical Imaging of Hunan Province ChangshaHunan ProvinceChina

Patients with mild traumatic brain injury have a diverse clinical presentation,and the underlying pathophysiology remains poorly understood.Magnetic resonance imaging is a non-invasive technique that has been widely utilized to investigate neuro biological markers after mild traumatic brain injury.This approach has emerged as a promising tool for investigating the pathogenesis of mild traumatic brain injury.G raph theory is a quantitative method of analyzing complex networks that has been widely used to study changes in brain structure and function.However,most previous mild traumatic brain injury studies using graph theory have focused on specific populations,with limited exploration of simultaneous abnormalities in structural and Functional connectivity.Given that mild traumatic brain injury is the most common type of traumatic brain injury encounte red in clinical practice,further investigation of the patient characteristics and evolution of structural and Functional connectivity is critical.In the present study,we explored whether abnormal structural and Functional connectivity in the acute phase could serve as indicators of longitudinal changes in imaging data and cognitive function in patients with mild traumatic brain injury.In this longitudinal study,we enrolled 46 patients with mild traumatic brain injury who were assessed within 2 wee ks of injury,as well as 36 healthy controls.Resting-state functional magnetic resonance imaging and diffusion-weighted imaging data were acquired for graph theoretical network analysis.In the acute phase,patients with mild traumatic brain injury demonstrated reduced structural connectivity in the dorsal attention network.More than 3 months of followup data revealed signs of recovery in structural and Functional connectivity,as well as cognitive function,in 22 out of the 46 patients.Furthermore,better cognitive function was associated with more efficient networks.Finally,our data indicated that small-worldness in the acute stage could serve as a predictor of longitudinal ch

关键词： cognitive function cross-section follow-up Functional connectivity graph theory longitudinal study mild traumatic brain injury prediction small-worldness structural connectivity subnetworks whole brain network

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Abnormal cortical surface-based spontaneous and Functional connectivity in the whole brain in lifelong premature ejaculation patients

引用

Asian Journal of Andrology 2023年第6期25卷 699-703页

作者： Si-Yan Xing Jia-Ming Lu Yue-Hui Jiang Tong Wang Guang-Jun Du Bai-Bing Yang Qing-Qiang Gao Bin Wang Ning Wu Chun-Lu Xu Tao Song Yu-Tian Dai Department of Andrology Nanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing UniversityNanjing 210008China Department of Radiology Nanjing Drum Tower HospitalAffiliated Hospital of Medical SchoolNanjing UniversityNanjing 210008China Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine Nanjing 210046China

Recent research has highlighted structural and functional abnormalities in the cerebral cortex of patients with premature ejaculation(PE).These anomalies could play a pivotal role in the physiological mechanisms underlying PE.This study leveraged functional magnetic resonance imaging(fMRI),a noninvasive technique,to explore these neural mechanisms.We conducted resting-state fMRI scans on 36 PE patients and 22 healthy controls(HC),and collected data on Premature Ejaculation Diagnostic Tool(PEDT)scores and intravaginal ejaculation latency time(IELT).Employing a surface-based regional homogeneity(ReHo)approach,we analyzed local neural synchronous spontaneous activity,diverging from previous studies that utilized a volume-based ReHo method.Areas with significant ReHo differences between PE and HC groups underwent surface-based Functional connectivity(FC)analysis.Significant discrepancies in ReHo and FC across the cortical surface were observed in the PE cohort.Notably,PE patients exhibited decreased ReHo in the left triangular inferior frontal gyrus and enhanced ReHo in the right middle frontal gyrus.The latter showed heightened connectivity with the left lingual gyrus and the right orbital superior frontal gyrus.Furthermore,a correlation between ReHo and FC values with PEDT scores and IELT was found in the PE group.Our findings,derived from surface-based fMRI data,underscore specific brain regions linked to the neurobiological underpinnings of PE.

关键词： Functional connectivity functional magnetic resonance imaging lifelong premature ejaculation regional homogeneity surface-based

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Acupuncture Treatment Modulates the Resting-State Functional connectivity of Brain Regions in Migraine Patients without Aura

引用

Chinese Journal of Integrative Medicine 2016年第4期22卷 293-301页

作者：张勇李匡时刘宏伟付彩红陈晟谭中建任毅 Department of Neurology and Stroke Center Dongzhimen Hospital the First Affiliated Hospital of Beijing University of Chinese Medicine Department of Acupuncture Dongzhimen Hospital the First Affiliated Hospital of Beijing University of Chinese Medicine Department of Magnetic Resonance Imaging Dongzhimen Hospital the First Affiliated Hospital of Beijing University of Chinese Medicine

Objective： To investigate the modulatory effect of acupuncture treatment on the resting-state Functional connectivity of brain regions in migraine without aura （MWoA） patients. Methods： Twelve MWoA patients were treated with standard acupuncture treatment for 4 weeks. All MWoA patients received resting-state functional magnetic resonance imaging （fMRI） scanning before and after acupuncture treatment. Another 12 normal subjects matched in age and gender were recruited to serve as healthy controls. The changes of resting- state Functional connectivity in MWoA patients before and after the acupuncture treatment and those with the healthy controls were compared. Results： Before acupuncture treatment, the MWoA patients had significantly decreased Functional connectivity in certain brain regions within the frontal and temporal lobe when compared with the healthy controls. After acupuncture treatment, brain regions showing decreased Functional connectivity revealed significant reduction in MWoA patients compared with before acupuncture treatment. Conclusions： Acupuncture treatment could increase the Functional connectivity of brain regions in the intrinsic decreased brain networks in MWoA patients. The results provided further insights into the interpretation of neural mechanisms of acupuncture treatment for migraine.

关键词： acupuncture migraine without aura resting-state Functional connectivity functional magneticresonance imaging

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

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

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

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

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

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：