额颞叶痴呆患者宏观功能网络组织的紊乱-动脉网

Disruption of macroscale functional network organisation in patients with frontotemporal dementia

Nature 等信源发布 2024-11-24 14:17



可切换为仅中文







AbstractNeurodegenerative dementias have a profound impact on higher-order cognitive and behavioural functions. Investigating macroscale functional networks through cortical gradients provides valuable insights into the neurodegenerative dementia process and overall brain function. This approach allows for the exploration of unimodal-multimodal differentiation and the intricate interplay between functional brain networks.

摘要神经退行性痴呆对高阶认知和行为功能有着深远的影响。。这种方法允许探索单峰多峰分化和功能性大脑网络之间复杂的相互作用。

We applied cortical gradients mapping to resting-state functional MRI data of patients with frontotemporal dementia (FTD) (behavioural-bvFTD, non-fluent and semantic) and healthy controls. In healthy controls, the principal gradient maximally distinguished sensorimotor from default-mode network (DMN) and the secondary gradient visual from salience network (SN).

我们将皮质梯度映射应用于额颞叶痴呆（FTD）（行为bvFTD，非流利和语义）患者和健康对照者的静息状态功能MRI数据。在健康对照组中，主梯度最大程度地将感觉运动与默认模式网络（DMN）区分开来，将视觉二级梯度与显着网络（SN）区分开来。

In all FTD variants, the principal gradient’s unimodal-multimodal differentiation was disrupted. The secondary gradient, however, showed widespread disruptions impacting the interactions among all networks specifically in bvFTD, while semantic and non-fluent variants exhibited more focal alterations in limbic and sensorimotor networks.

在所有FTD变体中，主梯度的单峰多峰分化被破坏。然而，二级梯度显示出广泛的破坏，特别是在bvFTD中影响了所有网络之间的相互作用，而语义和非流畅变体在边缘和感觉运动网络中表现出更多的焦点改变。

Additionally, the visual network showed responsive and/or compensatory changes in all patients. Importantly, these disruptions extended beyond atrophy distribution and related to symptomatology in patients with bvFTD. In conclusion, optimal brain function requires networks to operate in a segregated yet collaborative manner.

此外，视觉网络在所有患者中均显示出反应性和/或代偿性变化。重要的是，这些破坏超出了萎缩分布范围，并与bvFTD患者的症状有关。。

In FTD, our findings indicate a collapse and loss of differentiation between networks not solely explained by atrophy. These specific cortical gradients’ fingerprints could serve as a functional signature for identifying early changes in neurodegenerative diseases or potential compensatory processes..

在FTD中，我们的发现表明，网络之间的崩溃和分化丧失不仅仅是由萎缩引起的。这些特定的皮质梯度指纹可以作为识别神经退行性疾病或潜在代偿过程早期变化的功能特征。。

IntroductionComplex behaviours and higher-order cognition rely on distributed brain systems working synergistically for both serial and parallel processing [1, 2]. Extensively studied over the past 30 years, these functional networks are investigated by measuring temporal correlations between distributed and adjacent brain areas at rest [3].

引言复杂的行为和高阶认知依赖于分布式大脑系统协同工作以进行串行和并行处理[1，2]。在过去的30年中，通过测量休息时分布和相邻大脑区域之间的时间相关性来研究这些功能网络。

Some networks, like visual or sensorimotor networks, are implicated in sensory processing, while others, such as the salience network (SN) and the default-mode network (DMN), are crucial for higher-order cognitive tasks like detecting salient stimuli or mind wandering. Examining functional networks through resting-state functional magnetic resonance imaging (rs-fMRI) to measure functional connectivity (FC) between regions [3, 4] is thus valuable to understand how neurodegeneration affects the brain and consequently, cognitive and behavioural functions.Pioneering studies in resting-state FC have suggested that brain networks show both inter-network correlations and anticorrelations, meaning that cognitive and behavioural functions are not simply due to the activation of certain networks but also to an interplay between networks involving the simultaneous decrease and increase of activity within different networks [5].

一些网络，如视觉或感觉运动网络，与感觉处理有关，而另一些网络，如显着网络（SN）和默认模式网络（DMN），对于检测显着刺激或思维游移等高阶认知任务至关重要。因此，通过静息状态功能磁共振成像（rs-fMRI）检查功能网络以测量区域之间的功能连接（FC）[3，4]，对于了解神经变性如何影响大脑以及认知和行为功能非常有价值。静息状态FC的开创性研究表明，大脑网络显示出网络间的相关性和反相关性，这意味着认知和行为功能不仅是由于某些网络的激活，而且是由于网络之间的相互作用，涉及不同网络内活动的同时减少和增加〔5〕。

These activities play a crucial role in the brain’s functional architecture, emerging during brain development [5, 6]. Similarly, changes in FC during aging and neurodegeneration involve not only abnormalities within networks but also a change of the interactions between large-scale networks [7, 8].With this in mind, cortical gradient mapping offers a lens through which to characterise the relationship between connectivity patterns of macroscale functional networks in low-dimensional space.

这些活动在大脑发育过程中出现的大脑功能结构中起着至关重要的作用[5，6]。同样，衰老和神经退行性疾病期间FC的变化不仅涉及网络内的异常，还涉及大规模网络之间相互作用的变化[7，8]。考虑到这一点，皮质梯度映射提供了一个透镜，通过该透镜可以表征低维空间中宏观功能网络的连接模式之间的关系。

Applied to a large group of h.

应用于大量h。

Data availability

数据可用性

Data from participants who agreed to the public distribution of data are available from the corresponding author upon reasonable request, while maintaining the anonymity of the participants.

同意公开分发数据的参与者的数据可在合理要求下从通讯作者处获得，同时保持参与者的匿名性。

ReferencesFelleman DJ, Van Essen DC. Distributed hierarchical processing in the primate cerebral cortex. Cereb Cortex N Y N. 1991;1:1–47.Article

参考范埃森特区费勒曼DJ。灵长类大脑皮层的分布式分层处理。；1： 1-47.文章

CAS

中科院

Google Scholar

谷歌学者

Mesulam MM. Large-scale neurocognitive networks and distributed processing for attention, language, and memory. Ann Neurol. 1990;28:597–613.Article

大规模神经认知网络和注意力、语言和记忆的分布式处理。Ann Neurol。1990年；28:597–613.文章

CAS

中科院

PubMed

Google Scholar

谷歌学者

Biswal B, Zerrin Yetkin F, Haughton VM, Hyde JS. Functional connectivity in the motor cortex of resting human brain using echo-planar mri. Magn Reson Med. 1995;34:537–41.Article

比斯瓦尔B，泽林·叶特金F，豪顿VM，海德JS。使用回声平面mri在静息人脑运动皮层中的功能连接。Magn Reson Med。1995；34:537–41.文章

CAS

中科院

PubMed

Google Scholar

谷歌学者

Friston KJ. Functional and effective connectivity in neuroimaging: A synthesis. Hum Brain Mapp. 1994;2:56–78.Article

弗里斯顿KJ。神经影像学中的功能和有效连接：综合。。1994年；2： 56-78.文章

Google Scholar

谷歌学者

Fox MD, Snyder AZ, Vincent JL, Corbetta M, Van Essen DC, Raichle ME. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci. 2005;102:9673–8.Article

Fox MD，Snyder AZ，Vincent JL，Corbetta M，Van Essen DC，Raichle ME。人脑本质上被组织成动态的，反相关的功能网络。美国国家科学院院刊。2005年；

CAS

中科院

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

DeSerisy M, Ramphal B, Pagliaccio D, Raffanello E, Tau G, Marsh R, et al. Frontoparietal and default mode network connectivity varies with age and intelligence. Dev Cogn Neurosci. 2021;48:100928.Article

DeSerisy M，Ramphal B，Pagliaccio D，Raffanello E，Tau G，Marsh R等。额顶和默认模式网络连接随年龄和智力而变化。Dev Cogn Neurosci。2021年；48:100928.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Ferreira LK, Lindberg O, Santillo AF, Wahlund LO. Functional connectivity in behavioral variant frontotemporal dementia. Brain Behav. 2022;12:e2790.Article

费雷拉（Ferreira LK），林德伯格（Lindberg O），桑蒂略（Santillo AF），瓦伦德（Wahlund LO）。行为变异性额颞叶痴呆的功能连接。大脑行为。2022年；12： e2790条款

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Ng ASL, Wang J, Ng KK, Chong JSX, Qian X, Lim JKW, et al. Distinct network topology in Alzheimer’s disease and behavioral variant frontotemporal dementia. Alzheimers Res Ther. 2021;13:13.Article

吴ASL，王杰，吴KK，Chong JSX，Qian X，Lim JKW，等。阿尔茨海默病和行为变异性额颞叶痴呆的独特网络拓扑。阿尔茨海默病。2021年；13： 13、条款

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Margulies DS, Ghosh SS, Goulas A, Falkiewicz M, Huntenburg JM, Langs G, et al. Situating the default-mode network along a principal gradient of macroscale cortical organization. Proc Natl Acad Sci. 2016;113:12574–9.Article

Margulies DS，Ghosh SS，Goulas A，Falkiewicz M，Huntenburg JM，Langs G等。沿着宏观皮层组织的主要梯度设置默认模式网络。美国国家科学院院刊。2016年；113:12574–9.文章

CAS

中科院

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Bayrak, Khalil AA, Villringer K, Fiebach JB, Villringer A, Margulies DS, et al. The impact of ischemic stroke on connectivity gradients. NeuroImage Clin. 2019;24:101947.Article

Bayrak，Khalil AA，Villinger K，Fiebach JB，Villinger A，Margulies DS等。缺血性中风对连通性梯度的影响。神经影像临床。2019年；24:101947.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Hong SJ, Vos de Wael R, Bethlehem RAI, Lariviere S, Paquola C, Valk SL, et al. Atypical functional connectome hierarchy in autism. Nat Commun. 2019;10:1022.Article

Hong SJ，Vos de Wael R，Bethlehem RAI，Lariviere S，Paquola C，Valk SL等。自闭症中的非典型功能连接体层次结构。纳特公社。2019年；10：第1022条

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Meng Y, Yang S, Chen H, Li J, Xu Q, Zhang Q, et al. Systematically disrupted functional gradient of the cortical connectome in generalized epilepsy: Initial discovery and independent sample replication. NeuroImage. 2021;230:117831.Article

孟Y，杨S，陈H，李J，徐Q，张Q等。系统性破坏全身性癫痫皮质连接体的功能梯度：初步发现和独立样本复制。神经影像。2021年；230:117831.文章

PubMed

Google Scholar

谷歌学者

Wang J, Zhou Y, Ding J, Xiao J. Functional gradient alteration in individuals with cognitive vulnerability to depression. J Psychiatr Res. 2021;144:338–44.Article

Wang J，Zhou Y，Ding J，Xiao J.抑郁症认知易感性个体的功能梯度改变。J精神病学研究2021；144:338-44.文章

PubMed

Google Scholar

谷歌学者

Pasquini L, Fryer SL, Eisendrath SJ, Segal ZV, Lee AJ, Brown JA, et al. Dysfunctional Cortical Gradient Topography in Treatment-Resistant Major Depressive Disorder. Biol Psychiatry Cogn Neurosci Neuroimaging. 2023;8:928–39.PubMed

Pasquini L，Fryer SL，Eisendrath SJ，Segal ZV，Lee AJ，Brown JA等。难治性重性抑郁障碍中功能失调的皮质梯度地形图。生物精神病学认知神经影像学。2023年；8： 928–39.PubMed

Google Scholar

谷歌学者

Dong D, Luo C, Guell X, Wang Y, He H, Duan M, et al. Compression of Cerebellar Functional Gradients in Schizophrenia. Schizophr Bull. 2020;46:1282–95.Article

董丹，罗C，圭尔X，王毅，何浩，段明，等。精神分裂症小脑功能梯度的压缩。精神分裂症公牛。2020年；46:1282–95.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Koen JD, Rugg MD. Neural Dedifferentiation in the Aging Brain. Trends Cogn Sci. 2019;23:547–59.Article

Koen JD，Rugg MD。衰老大脑中的神经去分化。趋势认知科学。2019年；23:547-59.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Hong SJ, Xu T, Nikolaidis A, Smallwood J, Margulies DS, Bernhardt B, et al. Toward a connectivity gradient-based framework for reproducible biomarker discovery. NeuroImage. 2020;223:117322.Article

Hong SJ，Xu T，Nikolaidis A，Smallwood J，Margulies DS，Bernhardt B等人，致力于基于连通梯度的可重复生物标志物发现框架。神经影像。2020年；223:117322.文章

CAS

中科院

PubMed

Google Scholar

谷歌学者

Rascovsky K, Hodges JR, Knopman D, Mendez MF, Kramer JH, Neuhaus J, et al. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain. 2011;134:2456–77.Article

Rascovsky K，Hodges JR，Knopman D，Mendez MF，Kramer JH，Neuhaus J等。修订的额颞叶痴呆行为变异诊断标准的敏感性。大脑。2011年；134:2456–77.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Gorno-Tempini ML, Hillis AE, Weintraub S, Kertesz A, Mendez M, Cappa SF, et al. Classification of primary progressive aphasia and its variants. Neurology. 2011;76:1006–14.Article

Gorno Tempini ML，Hillis AE，Weintraub S，Kertesz A，Mendez M，Cappa SF等。原发性进行性失语症及其变体的分类。神经病学。2011年；76:1006–14.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Warren JD, Rohrer JD, Hardy J. Disintegrating brain networks: from syndromes to molecular nexopathies. Neuron. 2012;73:1060–2.Article

Warren JD，Rohrer JD，Hardy J.瓦解大脑网络：从综合征到分子神经病。神经元。2012年；73:1060–2.文章

CAS

中科院

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Zhou J, Liu S, Ng KK, Wang J. Applications of Resting-State Functional Connectivity to Neurodegenerative Disease. Neuroimaging Clin. 2017;27:663–83.Article

Zhou J，Liu S，Ng KK，Wang J.静息状态功能连接在神经退行性疾病中的应用。神经影像学临床。2017年；27:663–83.文章

Google Scholar

谷歌学者

Filippi M, Basaia S, Canu E, Imperiale F, Meani A, Caso F, et al. Brain network connectivity differs in early-onset neurodegenerative dementia. Neurology. 2017;89:1764–72.Article

Filippi M，Basaia S，Canu E，Imperiale F，Meani A，Caso F等。早发性神经退行性痴呆的脑网络连通性不同。神经病学。2017年；89:1764-72.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Agosta F, Canu E, Sarro L, Comi G, Filippi M. Neuroimaging findings in frontotemporal lobar degeneration spectrum of disorders. Cortex. 2012;48:389–413.Article

Agosta F，Canu E，Sarro L，Comi G，Filippi M.额颞叶变性疾病谱的神经影像学发现。皮质。2012年；48:389-413.文章

PubMed

Google Scholar

谷歌学者

Batrancourt B, Lecouturier K, Ferrand-Verdejo J, Guillemot V, Azuar C, Bendetowicz D, et al. Exploration Deficits Under Ecological Conditions as a Marker of Apathy in Frontotemporal Dementia. Front Neurol. 2019;10. Available from: https://www.frontiersin.org/articles/10.3389/fneur.2019.00941/full.Russell LL, Greaves CV, Convery RS, Nicholas J, Warren JD, Kaski D, et al.

Batrancourt B，Lecouturier K，Ferrand Verdejo J，Guillemot V，Azuar C，Bendetowicz D等。生态条件下的探索缺陷是额颞叶痴呆冷漠的标志。前神经。2019年；10、可从以下地址获得：https://www.frontiersin.org/articles/10.3389/fneur.2019.00941/full.RussellLL，Greaves CV，Convery RS，Nicholas J，Warren JD，Kaski D等。

Novel instructionless eye tracking tasks identify emotion recognition deficits in frontotemporal dementia. Alzheimers Res Ther. 2021;13:39.Article .

新颖的无指导眼球追踪任务可识别额颞叶痴呆的情绪识别缺陷。阿尔茨海默病。2021年；13：第39条。

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Bertoux M, Volle E, Funkiewiez A, Souza LC, de, Leclercq D, et al. Social Cognition and Emotional Assessment (SEA) is a Marker of Medial and Orbital Frontal Functions: A Voxel-Based Morphometry Study in Behavioral Variant of Frontotemporal Degeneration. J Int Neuropsychol Soc. 2012;18:972–85.Article .

Bertoux M，Volle E，Funkiewiez A，Souza LC，de，Leclercq D等。社会认知和情绪评估（SEA）是内侧和眼眶额叶功能的标志：基于体素的额颞叶变性行为变异的形态计量学研究。J Int Neuropsychol Soc。2012；18： 972-85。第条。

PubMed

Google Scholar

谷歌学者

Esteban O, Markiewicz CJ, Blair RW, Moodie CA, Isik AI, Erramuzpe A, et al. fMRIPrep: a robust preprocessing pipeline for functional MRI. Nat Methods. 2019;16:111–6.Article

Esteban O，Markiewicz CJ，Blair RW，Moodie CA，Isik AI，Erramuzpe A等。fMRIPrep：功能性MRI的强大预处理管道。Nat方法。2019年；16： 111-6.文章

CAS

中科院

PubMed

Google Scholar

谷歌学者

Faskowitz J. faskowit/multiAtlasTT v0.1 (v0.0.1). Zenodo; 2021. Available from: https://doi.org/10.5281/zenodo.4459737.Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage.

。泽诺多；2021年。可从以下网站获得：https://doi.org/10.5281/zenodo.4459737.PowerJD，Barnes KA，Snyder AZ，Schlaggar BL，Petersen SE。功能连接MRI网络中的虚假但系统的相关性来自受试者的运动。神经影像。

2012;59:2142–54.Article .

2012年；59:2142-54。文章。

PubMed

Google Scholar

谷歌学者

Schaefer A, Kong R, Gordon EM, Laumann TO, Zuo XN, Holmes AJ, et al. Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI. Cereb Cortex. 2018;28:3095–114.Article

Schaefer A，Kong R，Gordon EM，Laumann TO，Zuo XN，Holmes AJ，等。从内在功能连接MRI对人类大脑皮层的局部-全局分割。大脑皮层。2018年；28:3095–114.文章

PubMed

Google Scholar

谷歌学者

Yeo BTT, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, Hollinshead M, et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol. 2011;106:1125–65.Article

Yeo BTT，Krienen FM，Sepulcre J，Sabuncu MR，Lashkari D，Hollinshead M等。通过内在功能连通性估计的人类大脑皮层组织。神经生理学杂志。2011年；106:1125–65.文章

PubMed

Google Scholar

谷歌学者

Zheng C, Zhao W, Yang Z, Guo S. Initiative for the ADN. Functional connectome hierarchy dysfunction in Alzheimer’s disease and its relationship with cognition and gene expression profiling. J Neurosci Res. 2024;102:e25280.Article

Zheng C，Zhao W，Yang Z，Guo S.ADN倡议。阿尔茨海默病中的功能性连接体层次功能障碍及其与认知和基因表达谱的关系。J Neurosci Res.2024；102:e25280.文章

PubMed

Google Scholar

谷歌学者

Levy R. The prefrontal cortex: from monkey to man. Brain. 2024;147:794–815.Zhou J, Greicius MD, Gennatas ED, Growdon ME, Jang JY, Rabinovici GD, et al. Divergent network connectivity changes in behavioural variant frontotemporal dementia and Alzheimer’s disease. Brain. 2010;133:1352–67.Article .

前额叶皮层：从猴子到人。大脑。2024年；147:794–815.Zhou J，Greicius MD，Gennatas ED，Growdon ME，Jang JY，Rabinovici GD等。行为变异性额颞叶痴呆和阿尔茨海默病的不同网络连通性变化。大脑。2010年；133:1352-67。文章。

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Filippi M, Agosta F, Scola E, Canu E, Magnani G, Marcone A, et al. Functional network connectivity in the behavioral variant of frontotemporal dementia. Cortex. 2013;49:2389–401.Article

Filippi M，Agosta F，Scola E，Canu E，Magnani G，Marcone A等。额颞叶痴呆行为变异中的功能网络连通性。皮质。2013年；49:2389–401.文章

PubMed

Google Scholar

谷歌学者

Agosta F, Sala S, Valsasina P, Meani A, Canu E, Magnani G, et al. Brain network connectivity assessed using graph theory in frontotemporal dementia. Neurology. 2013;81:134–43.Article

Agosta F，Sala S，Valsasina P，Meani A，Canu E，Magnani G等。使用图论评估额颞叶痴呆的脑网络连通性。神经病学。2013年；81:134–43.文章

PubMed

Google Scholar

谷歌学者

Caminiti SP, Canessa N, Cerami C, Dodich A, Crespi C, Iannaccone S, et al. Affective mentalizing and brain activity at rest in the behavioral variant of frontotemporal dementia. NeuroImage Clin. 2015;9:484–97.Article

Caminiti SP，Canessa N，Cerami C，Dodich A，Crespi C，Iannaccone S等。额颞叶痴呆行为变异中的情感心理化和休息时的大脑活动。神经影像临床。2015年；9： 484-97.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Borroni B, Grassi M, Premi E, Gazzina S, Alberici A, Cosseddu M, et al. Neuroanatomical correlates of behavioural phenotypes in behavioural variant of frontotemporal dementia. Behav Brain Res. 2012;235:124–9.Article

Borroni B，Grassi M，Premi E，Gazzina S，Alberici A，Cosseddu M等。额颞叶痴呆行为变异中行为表型的神经解剖学相关性。Behav Brain Res.2012；235:124–9.文章

CAS

中科院

PubMed

Google Scholar

谷歌学者

Farb NAS, Grady CL, Strother S, Tang-Wai DF, Masellis M, Black S, et al. Abnormal network connectivity in frontotemporal dementia: Evidence for prefrontal isolation. Cortex. 2013;49:1856–73.Article

Farb NAS，Grady CL，Strother S，Tang Wai DF，Masellis M，Black S等。额颞叶痴呆的异常网络连接：前额叶隔离的证据。皮质。2013年；

PubMed

Google Scholar

谷歌学者

Lee SE, Khazenzon AM, Trujillo AJ, Guo CC, Yokoyama JS, Sha SJ, et al. Altered network connectivity in frontotemporal dementia with C9orf72 hexanucleotide repeat expansion. Brain. 2014;137:3047–60.Article

Lee SE，Khazenzon AM，Trujillo AJ，Guo CC，Yokoyama JS，Sha SJ等。通过C9orf72六核苷酸重复扩增改变额颞叶痴呆的网络连通性。大脑。2014年；137:3047–60.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Rytty R. Resting-state functional MRI in behavioral variant of frontotemporal dementia. 2016. https://www.semanticscholar.org/paper/Resting-state-functional-MRI-in-behavioral-variant-Rytty/9a3e8e09cf91c9004284719ba131e80acad1ee5b.Premi E, Cauda F, Gasparotti R, Diano M, Archetti S, Padovani A, et al.

Rytty R.额颞叶痴呆行为变异的静息状态功能MRI。2016https://www.semanticscholar.org/paper/Resting-state-functional-MRI-in-behavioral-variant-Rytty/9a3e8e09cf91c9004284719ba131e80acad1ee5b.PremiE，Cauda F，Gasparotti R，Diano M，Archetti S，Padovani A等。

Multimodal fMRI Resting-State Functional Connectivity in Granulin Mutations: The Case of Fronto-Parietal Dementia. PLOS ONE. 2014;9:e106500.Article .

颗粒蛋白突变中的多模式fMRI静息状态功能连接：额顶叶痴呆的情况。PLOS ONE。2014年；9： e106500。文章。

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Hafkemeijer A, Möller C, Dopper EGP, Jiskoot LC, Schouten TM, van Swieten JC, et al. Resting state functional connectivity differences between behavioral variant frontotemporal dementia and Alzheimer’s disease. Front Hum Neurosci. 2015;9. Available from: https://www.frontiersin.org/articles/10.3389/fnhum.2015.00474/full.Moguilner S, García AM, Mikulan E, Hesse E, García-Cordero I, Melloni M, et al.

Hafkemeijer A，Möller C，Dopper EGP，Jiskoot LC，Schouten TM，van Swieten JC等。行为变异性额颞叶痴呆和阿尔茨海默病之间的静息状态功能连接差异。前嗡嗡声神经科学。2015年；9、可从以下地址获得：https://www.frontiersin.org/articles/10.3389/fnhum.2015.00474/full.MoguilnerS，加西亚AM，米库兰E，黑塞E，加西亚-科尔德罗I，梅隆尼M等。

Weighted Symbolic Dependence Metric (wSDM) for fMRI resting-state connectivity: A multicentric validation for frontotemporal dementia. Sci Rep. 2018;8:11181.Article .

fMRI静息状态连通性的加权符号依赖度量（wSDM）：额颞叶痴呆的多中心验证。Sci代表2018；8：第11181条。

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Seeley WW, Crawford RK, Zhou J, Miller BL, Greicius MD. Neurodegenerative Diseases Target Large-Scale Human Brain Networks. Neuron. 2009;62:42–52.Article

Seeley WW，Crawford RK，Zhou J，Miller BL，Greicius MD。神经退行性疾病针对大规模人脑网络。神经元。2009年；62:42–52.文章

CAS

中科院

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Seeley WW, Zhou J, Kim EJ. Frontotemporal Dementia: What Can the Behavioral Variant Teach Us about Human Brain Organization? The Neuroscientist. 2012;18:373–85.Article

Seeley WW，Zhou J，Kim EJ。额颞叶痴呆：行为变异可以教会我们关于人脑组织的什么？神经科学家。2012年；18： 373-85.文章

PubMed

Google Scholar

谷歌学者

Rijpma MG, Yang WFZ, Toller G, Battistella G, Sokolov AA, Sturm VE, et al. Influence of periaqueductal gray on other salience network nodes predicts social sensitivity. Hum Brain Mapp. 2022;43:1694–709.Article

Rijpma MG，Yang WFZ，Toller G，Battistella G，Sokolov AA，Sturm VE等。中脑导水管周围灰质对其他显着网络节点的影响可预测社会敏感性。。2022年；43:1694-709.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Sedeño L, Couto B, García-Cordero I, Melloni M, Baez S, Sepúlveda JPM, et al. Brain Network Organization and Social Executive Performance in Frontotemporal Dementia. J Int Neuropsychol Soc. 2016;22:250–62.Article

Sedeño L，Couto B，García-Cordero I，Melloni M，Baez S，Sepúlveda JPM等。额颞叶痴呆的大脑网络组织和社会执行表现。J Int Neuropsychol Soc。2016；22:250–62.文章

PubMed

Google Scholar

谷歌学者

Sturm VE, Brown JA, Hua AY, Lwi SJ, Zhou J, Kurth F, et al. Network Architecture Underlying Basal Autonomic Outflow: Evidence from Frontotemporal Dementia. J Neurosci. 2018;38:8943–55.Article

Sturm VE，Brown JA，Hua AY，Lwi SJ，Zhou J，Kurth F等。基础自主神经流出的网络结构：额颞叶痴呆的证据。J神经科学。2018年；38:8943–55.文章

CAS

中科院

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Bonakdarpour B, Rogalski EJ, Wang A, Sridhar J, Mesulam MM, Hurley RS. Functional connectivity is reduced in early stage primary progressive aphasia when atrophy is not prominent. Alzheimer Dis Assoc Disord. 2017;31:101–6.Article

。阿尔茨海默病协会。2017年；31:101–6.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Reyes P, Ortega-Merchan MP, Rueda A, Uriza F, Santamaria-García H, Rojas-Serrano N, et al. Functional Connectivity Changes in Behavioral, Semantic, and Nonfluent Variants of Frontotemporal Dementia. Behav Neurol. 2018;2018:e9684129.Article

Reyes P，Ortega-Merchan MP，Rueda A，Uriza F，Santamaria-GarcíA H，Rojas-Serrano N等。额颞叶痴呆的行为，语义和非流利变体的功能连接变化。行为神经学。2018年；2018:e9684129.Article

Google Scholar

谷歌学者

Botha H, Utianski RL, Whitwell JL, Duffy JR, Clark HM, Strand EA, et al. Disrupted functional connectivity in primary progressive apraxia of speech. NeuroImage Clin. 2018;18:617–29.Article

Botha H，Utianski RL，Whitwell JL，Duffy JR，Clark HM，Strand EA等人破坏了原发性进行性言语失用症的功能连接。神经影像临床。2018年；18： 617-29.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Agosta F, Galantucci S, Valsasina P, Canu E, Meani A, Marcone A, et al. Disrupted brain connectome in semantic variant of primary progressive aphasia. Neurobiol Aging. 2014;35:2646–55.Article

Agosta F，Galantucci S，Valsasina P，Canu E，Meani A，Marcone A等。在原发性进行性失语症的语义变体中破坏了大脑连接体。神经生物学老化。2014年；35:2646–55.文章

PubMed

Google Scholar

谷歌学者

Josephs KA, Duffy JR, Strand EA, Machulda MM, Senjem ML, Gunter JL, et al. The evolution of primary progressive apraxia of speech. Brain. 2014;137:2783–95.Article

Josephs KA，Duffy JR，Strand EA，Machulda MM，Senjem ML，Gunter JL等。原发性进行性言语失用症的演变。大脑。2014年；

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Botha H, Duffy JR, Whitwell JL, Strand EA, Machulda MM, Schwarz CG, et al. Classification and clinicoradiologic features of primary progressive aphasia (PPA) and apraxia of speech. Cortex. 2015;69:220–36.Article

Botha H，Duffy JR，Whitwell JL，Strand EA，Machulda MM，Schwarz CG等。原发性进行性失语（PPA）和言语失用症的分类和临床放射学特征。皮质。2015年；69:220–36.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Mandelli ML, Caverzasi E, Binney RJ, Henry ML, Lobach I, Block N, et al. Frontal White Matter Tracts Sustaining Speech Production in Primary Progressive Aphasia. J Neurosci. 2014;34:9754–67.Article

Mandelli ML，Caverzasi E，Binney RJ，Henry ML，Lobach I，Block N等。维持原发性进行性失语症言语产生的额叶白质束。J神经科学。2014年；34:9754–67.文章

CAS

中科院

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Agosta F, Ferraro PM, Canu E, Copetti M, Galantucci S, Magnani G, et al. Differentiation between Subtypes of Primary Progressive Aphasia by Using Cortical Thickness and Diffusion-Tensor MR Imaging Measures. Radiology. 2015;276:219–27.Article

Agosta F，Ferraro PM，Canu E，Copetti M，Galantucci S，Magnani G等。通过使用皮质厚度和扩散张量MR成像测量区分原发性进行性失语症的亚型。放射学。2015年；276:219–27.文章

PubMed

Google Scholar

谷歌学者

Yang WFZ, Toller G, Shdo S, Kotz SA, Brown J, Seeley WW, et al. Resting functional connectivity in the semantic appraisal network predicts accuracy of emotion identification. NeuroImage Clin. 2021;31:102755.Article

Yang WFZ，Toller G，Shdo S，Kotz SA，Brown J，Seeley WW等。语义评估网络中的静息功能连通性预测情绪识别的准确性。神经影像临床。2021年；31:102755.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Benhamou E, Marshall CR, Russell LL, Hardy CJD, Bond RL, Sivasathiaseelan H, et al. The neurophysiological architecture of semantic dementia: spectral dynamic causal modelling of a neurodegenerative proteinopathy. Sci Rep. 2020;10:16321.Article

Benhamou E，Marshall CR，Russell，Hardy CJD，Bond RL，Sivasathiaseelan H等。语义痴呆的神经生理学结构：神经退行性蛋白病的光谱动态因果模型。Sci Rep.2020；10：

CAS

中科院

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Chiong W, Wilson SM, D’Esposito M, Kayser AS, Grossman SN, Poorzand P, et al. The salience network causally influences default mode network activity during moral reasoning. Brain. 2013;136:1929–41.Article

Chiong W，Wilson SM，D'Esposito M，Kayser AS，Grossman SN，Poorzand P等。在道德推理过程中，突显网络会因果关系地影响默认模式的网络活动。大脑。2013年；136:1929-41.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Hutchings R, Palermo R, Bruggemann J, Hodges JR, Piguet O, Kumfor F. Looking but not seeing: Increased eye fixations in behavioural-variant frontotemporal dementia. Cortex. 2018;103:71–81.Article

Hutchings R，Palermo R，Bruggemann J，Hodges JR，Piguet O，Kumfor F.看不见：行为变异性额颞叶痴呆的眼睛注视增加。皮质。2018年；103:71–81.文章

PubMed

Google Scholar

谷歌学者

Rosen HJ, Allison SC, Schauer GF, Gorno-Tempini ML, Weiner MW, Miller BL. Neuroanatomical correlates of behavioural disorders in dementia. Brain. 2005;128:2612–25.Article

Rosen HJ，Allison SC，Schauer GF，Gorno Tempini ML，Weiner MW，Miller BL.痴呆症行为障碍的神经解剖学相关性。大脑。2005年；128:2612–25.文章

PubMed

Google Scholar

谷歌学者

Eldaief MC, Brickhouse M, Katsumi Y, Rosen H, Carvalho N, Touroutoglou A, et al. Atrophy in behavioural variant frontotemporal dementia spans multiple large-scale prefrontal and temporal networks. Brain. 2023;146:4476–85.Article

Eldaief MC，Brickhouse M，Katsumi Y，Rosen H，Carvalho N，Touroutoglou A等。行为变异性额颞叶痴呆的萎缩跨越多个大规模的前额叶和颞叶网络。大脑。2023年；146:4476–85.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Tao Y, Ficek B, Rapp B, Tsapkini K. Different patterns of functional network reorganization across the variants of primary progressive aphasia: a graph-theoretic analysis. Neurobiol Aging. 2020;96:184–96.Article

Tao Y，Ficek B，Rapp B，Tsapkini K.跨原发性进行性失语症变体的功能网络重组的不同模式：图论分析。神经生物学老化。2020年；96:184–96.文章

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Brown JA, Deng J, Neuhaus J, Sible IJ, Sias AC, Lee SE, et al. Patient-Tailored, Connectivity-Based Forecasts of Spreading Brain Atrophy. Neuron. 2019;104:856–68.e5.Article

Brown JA，Deng J，Neuhaus J，Sible IJ，Sias AC，Lee SE等。患者定制的，基于连通性的扩散性脑萎缩预测。神经元。2019年；104:856–68.e5.文章

CAS

中科院

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Gordon E, Rohrer JD, Fox NC. Advances in neuroimaging in frontotemporal dementia. J Neurochem. 2016;138:193–210.Article

Gordon E，Rohrer JD，Fox NC。额颞叶痴呆的神经影像学进展。神经化学杂志。2016年；138:193-210.文章

CAS

中科院

PubMed

Google Scholar

谷歌学者

Bethlehem RAI, Paquola C, Seidlitz J, Ronan L, Bernhardt B, Consortium CC, et al. Dispersion of functional gradients across the adult lifespan. NeuroImage. 2020;222:117299.Article

伯利恒RAI，Paquola C，Seidlitz J，Ronan L，Bernhardt B，Consortium CC等。功能梯度在成人寿命中的分散。神经影像。2020年；222:117299.文章

PubMed

Google Scholar

谷歌学者

Warren JD, Rohrer JD, Schott JM, Fox NC, Hardy J, Rossor MN. Molecular nexopathies: a new paradigm of neurodegenerative disease. Trends Neurosci. 2013;36:561–9.Article

Warren JD，Rohrer JD，Schott JM，Fox NC，Hardy J，Rossor MN。分子神经病：神经退行性疾病的新范例。。2013年；36:561–9.文章

CAS

中科院

PubMed

PubMed Central

公共医学中心

Google Scholar

谷歌学者

Rohrer JD, Warren JD. Phenotypic signatures of genetic frontotemporal dementia. Curr Opin Neurol. 2011;24:542.Article

Rohrer JD，Warren JD。遗传性额颞叶痴呆的表型特征。Curr Opin Neurol。2011年；24:542.文章

PubMed

Google Scholar

谷歌学者

Download referencesAcknowledgementsWe would like to thank all the participants from both the Paris and London sites for their dedication to research. The ECOCAPTURE study was funded by grant ANR-10-IAIHU-06 from the program “Investissements d’avenir”, by grant FRM DEQ20150331725 from the foundation “Fondation pour la recherche médicale”, and by the ENEDIS company: https://www.enedis.fr/.

下载参考文献致谢我们要感谢巴黎和伦敦网站的所有参与者对研究的奉献。ECOCAPTURE研究由“avenir投资”计划的ANR-10-IAIHU-06资助，由“医学研究基金会”基金会的FRM DEQ20150331725资助，并由ENEDIS公司资助：https://www.enedis.fr/.

AB is funded by a PhD Fellowship from the Fondation Recherche Alzheimer and this work was started when supported by Fondation Vaincre Alzheimer. JDW receives grant support from the Alzheimer’s Society, Alzheimer’s Research UK, the Royal National Institute for Deaf People, the UCL/UCLH NIHR Biomedical Research Centre and the National Brain Appeal (Frontotemporal Dementia Research Studentship in Memory of David Blechner).

AB由阿尔茨海默病研究基金会的博士奖学金资助，这项工作是在Vaincre阿尔茨海默病基金会的支持下开始的。JDW获得了阿尔茨海默氏病学会，英国阿尔茨海默氏病研究所，皇家国家聋人研究所，UCL/UCLH NIHR生物医学研究中心和国家大脑呼吁（纪念David Blechner的额颞叶痴呆研究学生）的资助。

JDR has received funding from a Miriam Marks Brain Research UK Senior Fellowship, an MRC Clinician Scientist Fellowship (MR/M008525/1) and the NIHR Rare Disease Translational Research Collaboration (BRC149/NS/MH) as well as the MRC UK GENFI grant (MR/M023664/1), the Bluefield Project and the JPND GENFI-PROX grant (2019-02248).

JDR获得了Miriam Marks Brain Research UK高级奖学金，MRC临床医生科学家奖学金（MR/M008525/1）和NIHR罕见病转化研究合作（BRC149/NS/MH）以及MRC UK GENFI grant（MR/M023664/1），Bluefield项目和JPND GENFI-PROX grant（2019-02248）的资助。

DSM received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 866533-CORTIGRAD), the Wellcome Trust Core Award and the NIHR Oxford BRC. RM is supported by France Alzheimer, Fondation Recherche Alzheimer, Fondation Philippe Chatrier and Rosita Gomez association.Author informationAuthors and AffiliationsParis Brain Institute – Institut du Cerveau (ICM), Sorbonne Université, Inserm U1127, CNRS UMR 7225, AP-HP - Hôpital Pitié-Salpêtrière, Paris, FranceA.

DSM获得了欧盟地平线2020研究与创新计划（赠款协议号866533-CORTIGRAD）、惠康信托核心奖和NIHR牛津BRC下的欧洲研究理事会（ERC）的资助。RM得到了法国阿尔茨海默病基金会，Recherche阿尔茨海默病基金会，Philippe Chatrier基金会和罗西塔·戈麦斯协会的支持。作者信息作者和附属机构巴黎大脑研究所（ICM），索邦大学，Inserm U1127，CNRS UMR 7225，AP-HP-Hôpital Pitié-Salpêtrière，巴黎，法国。

Bouzigues, V. Le Du, M. Houot, I. Le Ber, B. Batrancourt, R. Levy & R. MigliaccioDementia .

布齐格，V。杜，M。霍特，我。BER，B。Batrancourt，R。Levy&R。Migliacciodementia。

PubMed Google ScholarV. GodefroyView author publicationsYou can also search for this author in

PubMed Google ScholarV。GodefroyView作者出版物您也可以在

PubMed Google ScholarV. Le DuView author publicationsYou can also search for this author in

PubMed Google ScholarV。Le DuView作者出版物您也可以在

PubMed Google ScholarL. L. RussellView author publicationsYou can also search for this author in

PubMed Google ScholarL.L.RussellView作者出版物您也可以在

PubMed Google ScholarM. HouotView author publicationsYou can also search for this author in

你也可以在

PubMed Google ScholarI. Le BerView author publicationsYou can also search for this author in

PubMed Google ScholarI.Le BerView作者出版物您也可以在

PubMed Google ScholarB. BatrancourtView author publicationsYou can also search for this author in

PubMed谷歌学术论坛。BatrancourtView作者出版物您也可以在

PubMed Google ScholarR. LevyView author publicationsYou can also search for this author in

PubMed Google ScholarR。LevyView作者出版物您也可以在

PubMed Google ScholarJ. D. WarrenView author publicationsYou can also search for this author in

PubMed Google ScholarJ.D.WarrenView作者出版物您也可以在

PubMed Google ScholarJ. D. RohrerView author publicationsYou can also search for this author in

PubMed Google ScholarJ.D.Rohreview作者出版物您也可以在

PubMed Google ScholarD. S. MarguliesView author publicationsYou can also search for this author in

PubMed Google ScholarD。S、 MarguliesView作者出版物您也可以在

PubMed Google ScholarR. MigliaccioView author publicationsYou can also search for this author in

PubMed Google ScholarR.MigliaccioView作者出版物您也可以在

PubMed Google ScholarContributionsConceptualisation: RM, AB, DSM; Data collection: LLR, BB, RL, JDW; JDR; Methodology: AB, VLD, DSM; Data analysis: AB, MH, DSM, RM; Manuscript writing: AB, DSM, RM; Manuscript reviewing: AB, VG, LLR, VLD, MH, ILB, BB, RL, JDW, JDR, DSM, RM.Corresponding authorsCorrespondence to.

PubMed谷歌学术贡献概念：RM，AB，DSM；数据收集：LLR，BB，RL，JDW；JDR；方法学：AB，VLD，DSM；数据分析：AB，MH，DSM，RM；手稿撰写：AB，DSM，RM；稿件审查：AB，VG，LLR，VLD，MH，ILB，BB，RL，JDW，JDR，DSM，RM。通讯作者通讯。

A. Bouzigues or R. Migliaccio.Ethics declarations

A、 Bouzigues或R.Migliaccio。道德宣言

Competing interests

相互竞争的利益

The authors declare no competing interests.

作者声明没有利益冲突。

Ethics approval and consent to participate

道德批准和同意参与

All methods were performed in accordance with the relevant guidelines and regulations. Each study was granted approval by the local ethics committee. The ECOCAPTURE study was approved by the “Comité de Protection des Personnes,” on May 17, 2017 (CPP 17–31) and registered in a public clinical trial registry (clinicaltrials.gov: NCT03272230).

所有方法均按照相关指南和规定进行。每项研究都得到了当地伦理委员会的批准。ECOCAPTURE研究于2017年5月17日获得“人事保护委员会”的批准（CPP 17-31），并在公共临床试验注册处（clinicaltrials.gov:NCT03272230）注册。

The LIFTD study was granted approval by the London Queen Square Research Ethics Committee (ID 15/0805). All participants provided written informed consent prior to participating in the studies in accordance with the declaration of Helsinki. Anonymity was preserved for all participants..

伦敦皇后广场研究伦理委员会（ID 15/0805）批准了LIFTD研究。根据赫尔辛基宣言，所有参与者在参与研究之前都提供了书面知情同意书。所有参与者都保持匿名。。

Additional informationPublisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.Supplementary informationSupplementary MaterialsRights and permissions

Additional informationPublisher的注释Springer Nature在已发布的地图和机构隶属关系中的管辖权主张方面保持中立。补充信息补充材料权利和权限

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material.

开放获取本文是根据知识共享署名非商业性NoDerivatives 4.0国际许可证授权的，该许可证允许以任何媒介或格式进行任何非商业性使用，共享，分发和复制，只要您对原始作者和来源给予适当的信任，提供知识共享许可证的链接，并指出您是否修改了许可材料。

You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/..

要查看此许可证的副本，请访问http://creativecommons.org/licenses/by-nc-nd/4.0/..

Reprints and permissionsAbout this articleCite this articleBouzigues, A., Godefroy, V., Le Du, V. et al. Disruption of macroscale functional network organisation in patients with frontotemporal dementia.

转载和许可本文引用本文Bouzigues，A.，Godefroy，V.，Le Du，V。等人。额颞叶痴呆患者宏观功能网络组织的破坏。

Mol Psychiatry (2024). https://doi.org/10.1038/s41380-024-02847-4Download citationReceived: 24 January 2024Revised: 08 November 2024Accepted: 13 November 2024Published: 24 November 2024DOI: https://doi.org/10.1038/s41380-024-02847-4Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard.

摩尔精神病学（2024）。https://doi.org/10.1038/s41380-024-02847-4Download引文收到日期：2024年1月24日修订日期：2024年11月8日接受日期：2024年11月13日发布日期：2024年11月24日OI：https://doi.org/10.1038/s41380-024-02847-4Share本文与您共享以下链接的任何人都可以阅读此内容：获取可共享链接对不起，本文目前没有可共享的链接。复制到剪贴板。

Provided by the Springer Nature SharedIt content-sharing initiative

由Springer Nature SharedIt内容共享计划提供

全球产业链接平台

重庆市渝北区金星科技大厦A区5楼512室

联系电话：023-67139735（重庆）

关于我们

产品服务