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亨廷顿舞蹈病中一致性皮质-纹状体变性的功能连接建模

Functional connectivity modeling of consistent cortico-striatal degeneration in Huntington's disease.

作者信息

Dogan Imis, Eickhoff Claudia R, Fox Peter T, Laird Angela R, Schulz Jörg B, Eickhoff Simon B, Reetz Kathrin

机构信息

Department of Neurology, RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen, Germany ; Institute of Neuroscience and Medicine (INM-1, INM-4), Research Center Jülich GmbH, 52425 Jülich, Germany ; JARA - Translational Brain Medicine, Aachen, Jülich, Germany.

Institute of Neuroscience and Medicine (INM-1, INM-4), Research Center Jülich GmbH, 52425 Jülich, Germany ; Department of Psychiatry, Psychotherapy and Psychosomatic, RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen, Germany.

出版信息

Neuroimage Clin. 2015 Feb 27;7:640-52. doi: 10.1016/j.nicl.2015.02.018. eCollection 2015.

Abstract

Huntington's disease (HD) is a progressive neurodegenerative disorder characterized by a complex neuropsychiatric phenotype. In a recent meta-analysis we identified core regions of consistent neurodegeneration in premanifest HD in the striatum and middle occipital gyrus (MOG). For early manifest HD convergent evidence of atrophy was most prominent in the striatum, motor cortex (M1) and inferior frontal junction (IFJ). The aim of the present study was to functionally characterize this topography of brain atrophy and to investigate differential connectivity patterns formed by consistent cortico-striatal atrophy regions in HD. Using areas of striatal and cortical atrophy at different disease stages as seeds, we performed task-free resting-state and task-based meta-analytic connectivity modeling (MACM). MACM utilizes the large data source of the BrainMap database and identifies significant areas of above-chance co-activation with the seed-region via the activation-likelihood-estimation approach. In order to delineate functional networks formed by cortical as well as striatal atrophy regions we computed the conjunction between the co-activation profiles of striatal and cortical seeds in the premanifest and manifest stages of HD, respectively. Functional characterization of the seeds was obtained using the behavioral meta-data of BrainMap. Cortico-striatal atrophy seeds of the premanifest stage of HD showed common co-activation with a rather cognitive network including the striatum, anterior insula, lateral prefrontal, premotor, supplementary motor and parietal regions. A similar but more pronounced co-activation pattern, additionally including the medial prefrontal cortex and thalamic nuclei was found with striatal and IFJ seeds at the manifest HD stage. The striatum and M1 were functionally connected mainly to premotor and sensorimotor areas, posterior insula, putamen and thalamus. Behavioral characterization of the seeds confirmed that experiments activating the MOG or IFJ in conjunction with the striatum were associated with cognitive functions, while the network formed by M1 and the striatum was driven by motor-related tasks. Thus, based on morphological changes in HD, we identified functionally distinct cortico-striatal networks resembling a cognitive and motor loop, which may be prone to early disruptions in different stages of the disease and underlie HD-related cognitive and motor symptom profiles. Our findings provide an important link between morphometrically defined seed-regions and corresponding functional circuits highlighting the functional and ensuing clinical relevance of structural damage in HD.

摘要

亨廷顿舞蹈症(HD)是一种进行性神经退行性疾病,其特征为复杂的神经精神表型。在最近的一项荟萃分析中,我们确定了无症状期HD患者纹状体和枕中回(MOG)中持续神经退行性变的核心区域。对于早期有症状的HD患者,萎缩的趋同证据在纹状体、运动皮质(M1)和额下交界区(IFJ)最为明显。本研究的目的是从功能上描述这种脑萎缩的地形图,并研究HD中由一致的皮质-纹状体萎缩区域形成的差异连接模式。我们以不同疾病阶段的纹状体和皮质萎缩区域为种子区,进行了静息态和基于任务的荟萃分析连接建模(MACM)。MACM利用BrainMap数据库的大数据源,并通过激活似然估计方法识别与种子区有高于机会水平的共同激活的显著区域。为了描绘由皮质和纹状体萎缩区域形成的功能网络,我们分别计算了HD无症状期和有症状期纹状体和皮质种子区共同激活图谱之间的交集。利用BrainMap的行为元数据对种子区进行功能特征描述。HD无症状期的皮质-纹状体萎缩种子区与一个相当认知的网络共同激活,该网络包括纹状体、前岛叶、外侧前额叶、运动前区、辅助运动区和顶叶区域。在有症状的HD阶段,纹状体和IFJ种子区发现了类似但更明显的共同激活模式,另外还包括内侧前额叶皮质和丘脑核。纹状体和M1主要与运动前区和感觉运动区、后岛叶、壳核和丘脑功能连接。种子区的行为特征证实,激活MOG或IFJ并联合纹状体的实验与认知功能相关,而由M1和纹状体形成的网络由运动相关任务驱动。因此,基于HD的形态学变化,我们确定了功能上不同的皮质-纹状体网络,类似于认知和运动环路,这可能在疾病的不同阶段容易早期中断,并构成HD相关认知和运动症状谱的基础。我们的发现提供了形态学定义的种子区与相应功能回路之间的重要联系,突出了HD结构损伤的功能及随后的临床相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0ce/4375786/02c33a7146dd/gr1.jpg

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