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The pattern of cortical thickness underlying disruptive behaviors in Alzheimer’s disease

Psychoradiology 2022年第3期2卷 113-120页

作者： Raymond M.Xiong Teng Xie Haifeng Zhang Tao Li gaolang gong Xin Yu Yong He Experimental High School Attached to Beijing Normal University Beijing 100032China Dementia Care&Research Center Peking University Institute of Mental Health&National Clinical Research Center for Mental DisordersBeijing 100191China State Key Laboratory of Cognitive Neuroscience and Learning Beijing 100875China Beijing Key Laboratory of Brain Imaging and Connectomics Beijing Normal UniversityBeijing 100875China IDG/McGovern Institute for Brain Research Beijing Normal UniversityBeijing 100875China

Background Disruptive behaviors,including agitation,disinhibition,irritability,and aberrant motor behaviors,are commonly observed in patients with Alzheimer’s disease(AD).However,the neuroanatomical basis of these disruptive behaviors is not fully understood.Objective To confirm the differences in cortical thickness and surface area between AD patients and healthy controls and to further investigate the features of cortical thickness and surface area associated with disruptive behaviors in patients with AD.Methods One hundred seventy-four participants(125 AD patients and 49 healthy controls)were recruited frommemory clinics at the Peking University Institute of Sixth Hospital.Disruptive behaviors,including agitation/aggression,disinhibition,irritability/lability,and aberrant motor activity subdomain scores,were evaluated using the Neuropsychiatry Inventory.Both whole-brain vertex-based and region-of-interest-based cortical thickness and surface area analyses were automatically conducted with the CIVET pipeline based on structural magnetic resonance images.Both group-based statistical comparisons and brain-behavior association analyses were performed using general linear models,with age,sex,and education level as covariables.Results Compared with healthy controls,the AD patients exhibited widespread reduced cortical thickness,with the most significant thinning located in the medial and lateral temporal and parietal cortex,and smaller surface areas in the left fusiform and left inferior temporal gyrus.High total scores of disruptive behaviors were significantly associated with cortical thinning in several regions that are involved in sensorimotor processing,language,and expression functions.The total score of disruptive behaviors did not show significant associations with surface areas.ConclusionWe highlight that disruptive behaviors in patientswith AD are selectively associated with cortical thickness abnormalities in sensory,motor,and language regions,which provides insights into neuroanatomical substrates underl

关键词： Disruptive behaviors Alzheimer’s disease cortical thickness surface area magnetic resonance imaging(MRI) CIVET algorithm

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White Matter Deficits Underlying the Impaired Consciousness Level in Patients with Disorders of Consciousness

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Neuroscience Bulletin 2018年第4期34卷 668-678页

作者： Xuehai Wu Jiaying Zhang Zaixu Cui Weijun Tang Chunhong Shao Jin Hu Jianhong Zhu Yao Zhao Lu Lu Gang Chen Georg Northoff gaolang gong Ying Mao Yong He Neurosurgical Department Shanghai Huashan HospitalFudan University State Key Laboratory of Cognitive Neuroscience and Learning IDG/Mc Govern Institute for Brain ResearchBeijing Normal University Centre for Medical Image Computing Department of Computer Science University College London Radiological Department Shanghai Huashan Hospital Fudan University Psychiatry Department Shanghai Huashan Hospital Fudan University Huajia Hospital Shanghai Scientific and Statistical Computing Core National Institute of Mental Health National Institutes of Health Department of Health and Human Services Institute of Mental Health Research University of Ottawa

In this study, we aimed to （1） identify white matter （WM） deficits underlying the consciousness level in patients with disorders of consciousness （DOCs） using diffusion tensor imaging （DTI）, and （2） evaluate the relationship between DTI metrics and clinical measures of the consciousness level in DOC patients. With a cohort of 8 comatose, 8 unresponsive wakefulness syndrome/ vegetative state, and 14 minimally conscious state patients and 25 patient controls, we performed group comparisons of the DTI metrics in 48 core WM regions of interest （ROIs）, and examined the clinical relevance using correlation analysis. We identified multiple abnormal WM ROIs in DOC patients compared with normal controls, and the DTI metrics in these ROIs were significantly correlated with clinical measures of the consciousness level. Therefore, our findings suggested that multiple WM tracts are involved in the impaired consciousness levels in DOC patients and demonstrated the clinical relevance of DTI for DOC patients.

关键词： Disorder of consciousness White matter Diffusion tensor imaging Brain injury

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Semantic representation in the white matter pathway

Semantic representation in the white matter pathway

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第四届全国神经动力学学术会议

作者：方宇星 Xiaosha Wang Suyu Zhong Luping Song Zaizhu Han gaolang gong Yanchao Bi National Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research Beijing Normal University Beijing Key Laboratory of Brain Imaging and Connectomics Beijing Normal University

Object conceptual processing has been localized to distributed cortical regions that represent specific attributes. A challenging question is how object semantic space is formed.We tested a novel framework of representing semantic space in the pattern of white matter(WM) connections by extending the representational similarity analysis(RSA) to structural lesion pattern and behavioral data in 80 brain-damaged patients. For each WM connection, a neural representational dissimilarity matrix(RDM) was computed by first building machine-learning models with the voxel-wise WM lesion patterns as features to predict naming performance of a particular item and then computing the correlation between the predicted naming score and the actual naming score of another item in the testing patients.This correlation was used to build the neural RDM based on the assumption that if the connection pattern contains certain aspects of information shared by the naming processes of these two items, models trained with one item should also predict naming accuracy of the other. Correlating the neural RDM with various cognitive RDMs revealed that neural patterns in several WM connections that connect left occipital/middle temporal regions and anterior temporal regions associated with the object semantic space. Such associations were not attributable to modality-specific attributes(shape, manipulation, color, and motion), to peripheral picture-naming processes(picture visual similarity, phonological similarity), to broad semantic categories, or to the properties of the cortical regions that they connected,which tended to represent multiple modality-specific attributes. That is, the semantic space could be represented through WM connection patterns across cortical regions representing modality-specific attributes.

关键词：语义概念概念整合白质纤维束脑损伤病人

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基于磁共振影像的左右脑分离与整合研究

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中华诊断学电子杂志 2023年第3期11卷 152-152页

作者：龚高浪北京师范大学认知神经科学与学习国家重点实验室北京师范大学高性能计算中心北京师范大学IDG/McGovern脑科学研究院研究组

【内容简介】龚高浪教授在本讲座中主要对其课题组近几年的研究成果进行了介绍,包括基于磁共振成像研究的左右脑差异的发生发展规律、左右脑损伤后可塑性的异同和基于胼胝体的左右脑整合研究等方面。其团队发现大脑左半球和右半球损伤... 详细信息

【内容简介】龚高浪教授在本讲座中主要对其课题组近几年的研究成果进行了介绍,包括基于磁共振成像研究的左右脑差异的发生发展规律、左右脑损伤后可塑性的异同和基于胼胝体的左右脑整合研究等方面。其团队发现大脑左半球和右半球损伤可能导致不同的行为症状,其损伤后的可塑性变化模式也可能存在差异。另外,本讲座还重点揭示了胼胝体纤维长度随大脑尺寸变化的缩放规律及其生物学意义,证实了神经纤维长度及其缩放系数的重要科学价值,并为理解大脑进化和发育过程中的左右半脑间信息传导的重组规律提供了重要信息,同时为后续其他大脑纤维束的相关研究提供了方法学框架。

关键词：信息传导磁共振影像磁共振成像左半球左右脑纤维束方法学行为症状

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儿童青少年时期脑功能连接梯度的发育规律

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Science Bulletin 2022年第10期67卷 1049-1061,M0004页

作者：夏云曼夏明睿刘瑾廖旭红雷天缘梁新宇赵腾达石子怡孙良龙陈晓丹门卫伟王延培潘芝颖骆洁彭思雅陈梦璐郝磊谭淑平高家红秦绍正龚高浪陶沙董奇贺永 State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal UniversityBeijing 100875China Beijing Key Laboratory of Brain Imaging and Connectomics Beijing Normal UniversityBeijing 100875China IDG/McGovern Institute for Brain Research Beijing Normal UniversityBeijing 100875China School of Systems Science Beijing Normal UniversityBeijing 100875China Center for MRI Research Academy for Advanced Interdisciplinary StudiesPeking UniversityBeijing 100871China Beijing City Key Laboratory for Medical Physics and Engineering Institute of Heavy Ion PhysicsSchool of PhysicsPeking UniversityBeijing 100871China Beijing Huilongguan Hospital Peking University Huilongguan Clinical Medical SchoolBeijing 100096China IDG/McGovern Institute for Brain Research Peking UniversityBeijing 100871China Chinese Institute for Brain Research Beijing 102206China

成年人脑功能网络呈现从初级皮层到联合皮层渐变的核心连接梯度模式,支持了从初级感知觉到复杂抽象认知的信息加工过程.然而,目前对于人脑网络的初级皮层-联合皮层连接梯度如何发育,及其与认知发展、基因表达的关系依然知之甚少.本研究... 详细信息

成年人脑功能网络呈现从初级皮层到联合皮层渐变的核心连接梯度模式,支持了从初级感知觉到复杂抽象认知的信息加工过程.然而,目前对于人脑网络的初级皮层-联合皮层连接梯度如何发育,及其与认知发展、基因表达的关系依然知之甚少.本研究基于两个独立的6~14岁大样本儿童青少年静息态脑功能影像数据库,定量描绘了人脑功能网络的初级皮层-联合皮层连接梯度的发育轨迹.发现该连接梯度在儿童早期已经出现,并在8~11岁从次级梯度上升为首要核心梯度;其全局指标和局部分数都具有显著的年龄效应,梯度分数变化主要位于默认网络和感知觉皮层;梯度指标与个体工作记忆能力显著正相关,且连接梯度的发育受到脑功能网络分化与整合的中介调控.通过连接组-转录组联合分析,发现核心连接梯度的发育与突触传递等基因的表达水平显著相关.研究结果对理解人脑功能连接组的发育规则,建立脑发育性障碍的临床评估具有重要价值.

关键词： Brain development Functional connectome gradient Primary-to-transmodal Working memory Transcriptome

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