Suppr超能文献

亨廷顿病小脑-纹状体回路的异常发育。

Abnormal development of cerebellar-striatal circuitry in Huntington disease.

机构信息

From the University of Iowa, Iowa City.

出版信息

Neurology. 2020 May 5;94(18):e1908-e1915. doi: 10.1212/WNL.0000000000009364. Epub 2020 Apr 7.

Abstract

OBJECTIVE

To test the hypothesis that the trajectory of functional connections over time of the striatum and the cerebellum differs between presymptomatic patients with the Huntington disease (HD) gene expansion (GE) and patients with a family history of HD but without the GE (GNE), we evaluated functional MRI data from the Kids-HD study.

METHODS

We utilized resting-state, functional MRI data from participants in the Kids-HD study between 6 and 18 years old. Participants were divided into GE (CAG 36-59) and GNE (CAG <36) groups. Seed-to-seed correlations were calculated among 4 regions that provide input signals to the anterior cerebellum: (1) dorsocaudal putamen, (2) globus pallidus externa, (3) subthalamic nucleus, and (4) pontine nuclei; and 2 regions that represented output from the cerebellum: the dentate nucleus to the (1) ventrolateral thalamus and (2) dorsocaudal putamen. Linear mixed effects regression models evaluated differences in developmental trajectories of these connections over time between groups.

RESULTS

Four of the six striatal-cerebellum correlations showed significantly different trajectories between groups. All showed a pattern where in the early age ranges (6-12 years) there was hyperconnectivity in the GE compared to the GNE, with those trajectories showing linear decline in the latter half of the age range.

CONCLUSION

These results parallel previous findings showing striatal hypertrophy in children with GE as early as age 6. These findings support the notion of developmentally higher connectivity between the striatum and cerebellum early in the life of the child with HD GE, possibly setting the stage for cerebellar compensatory mechanisms.

摘要

目的

通过评估 Kids-HD 研究的功能磁共振成像(fMRI)数据,检验纹状体和小脑功能连接轨迹在亨廷顿病(HD)基因扩展(GE)患者和具有 HD 家族史但无 GE(GNE)的患者中随时间变化存在差异的假说。

方法

我们利用 Kids-HD 研究中 6 至 18 岁参与者的静息态 fMRI 数据。参与者分为 GE(CAG36-59)和 GNE(CAG<36)组。在向小脑前叶提供输入信号的 4 个区域(1)背侧尾状核、(2)外苍白球、(3)丘脑底核和(4)桥脑核之间,以及小脑输出代表区域(1)齿状核至(2)腹外侧丘脑和(3)背侧尾状核之间,计算种子与种子的相关性。采用线性混合效应回归模型评估了这些连接在两组间随时间的发育轨迹差异。

结果

6 个纹状体-小脑相关性中有 4 个显示出组间明显不同的轨迹。所有这些都显示出一种模式,即在早期年龄范围(6-12 岁)中,GE 组的连接性高于 GNE 组,在后一半年龄范围中,这些轨迹显示出线性下降。

结论

这些结果与之前的研究结果一致,即 GE 组的儿童早在 6 岁时就出现纹状体肥大。这些发现支持了在具有 HD GE 的儿童生命早期纹状体与小脑之间存在发育性更高连接的观点,可能为小脑代偿机制奠定了基础。

相似文献

1
Abnormal development of cerebellar-striatal circuitry in Huntington disease.
Neurology. 2020 May 5;94(18):e1908-e1915. doi: 10.1212/WNL.0000000000009364. Epub 2020 Apr 7.
2
Abnormal brain development in child and adolescent carriers of mutant huntingtin.
Neurology. 2019 Sep 3;93(10):e1021-e1030. doi: 10.1212/WNL.0000000000008066. Epub 2019 Aug 1.
3
Brain structure in juvenile-onset Huntington disease.
Neurology. 2019 Apr 23;92(17):e1939-e1947. doi: 10.1212/WNL.0000000000007355. Epub 2019 Apr 10.
4
Abnormal striatal resting-state functional connectivity in adolescents with obsessive-compulsive disorder.
Psychiatry Res Neuroimaging. 2016 Jan 30;247:49-56. doi: 10.1016/j.pscychresns.2015.11.002. Epub 2015 Nov 19.
6
Genetic load determines atrophy in hand cortico-striatal pathways in presymptomatic Huntington's disease.
Hum Brain Mapp. 2018 Oct;39(10):3871-3883. doi: 10.1002/hbm.24217. Epub 2018 May 24.
7
Diffusion-weighted versus volumetric imaging of the striatum in early symptomatic Huntington disease.
J Neurol. 2009 Jan;256(1):109-14. doi: 10.1007/s00415-009-0086-0. Epub 2009 Feb 16.
8
Abnormal cerebellar volume and corticocerebellar dysfunction in early manifest Huntington's disease.
J Neurol. 2015;262(4):859-69. doi: 10.1007/s00415-015-7642-6. Epub 2015 Jan 28.
10
Functional connectivity modeling of consistent cortico-striatal degeneration in Huntington's disease.
Neuroimage Clin. 2015 Feb 27;7:640-52. doi: 10.1016/j.nicl.2015.02.018. eCollection 2015.

引用本文的文献

3
Cell-specific mechanisms drive connectivity across the time course of Huntington's disease.
Nat Commun. 2025 Jul 1;16(1):5519. doi: 10.1038/s41467-025-60556-0.
4
Cortical and Striatal Functional Connectivity in Juvenile-Onset Huntington's Disease.
Brain Sci. 2025 Jun 19;15(6):663. doi: 10.3390/brainsci15060663.
6
Dendrite injury triggers neuroprotection in Drosophila models of neurodegenerative disease.
Sci Rep. 2024 Oct 21;14(1):24766. doi: 10.1038/s41598-024-74670-4.
9
Systems Genetics Analyses Reveals Key Genes Related to Behavioral Traits in the Striatum of CFW Mice.
J Neurosci. 2024 Jun 26;44(26):e0252242024. doi: 10.1523/JNEUROSCI.0252-24.2024.

本文引用的文献

1
Abnormal brain development in child and adolescent carriers of mutant huntingtin.
Neurology. 2019 Sep 3;93(10):e1021-e1030. doi: 10.1212/WNL.0000000000008066. Epub 2019 Aug 1.
2
The basal ganglia and the cerebellum: nodes in an integrated network.
Nat Rev Neurosci. 2018 Jun;19(6):338-350. doi: 10.1038/s41583-018-0002-7.
3
Structural brain development: A review of methodological approaches and best practices.
Dev Cogn Neurosci. 2018 Oct;33:129-148. doi: 10.1016/j.dcn.2017.11.008. Epub 2017 Nov 22.
4
Association Between Motor Symptoms and Brain Metabolism in Early Huntington Disease.
JAMA Neurol. 2017 Sep 1;74(9):1088-1096. doi: 10.1001/jamaneurol.2017.1200.
5
Postnatal and adult consequences of loss of huntingtin during development: Implications for Huntington's disease.
Neurobiol Dis. 2016 Dec;96:144-155. doi: 10.1016/j.nbd.2016.09.006. Epub 2016 Sep 10.
6
Huntington disease: a single-gene degenerative disorder of the striatum.
Dialogues Clin Neurosci. 2016 Mar;18(1):91-8. doi: 10.31887/DCNS.2016.18.1/pnopoulos.
9
Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI.
Neuroimage. 2014 Jul 1;94:40-46. doi: 10.1016/j.neuroimage.2014.03.032. Epub 2014 Mar 17.
10
Cerebellar networks with the cerebral cortex and basal ganglia.
Trends Cogn Sci. 2013 May;17(5):241-54. doi: 10.1016/j.tics.2013.03.003. Epub 2013 Apr 9.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验