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首页> 外文期刊>Cerebral cortex >Age-Related Declines in Motor Performance are Associated With Decreased Segregation of Large-Scale Resting State Brain Networks
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Age-Related Declines in Motor Performance are Associated With Decreased Segregation of Large-Scale Resting State Brain Networks

机译:与年龄相关的电机性能下降与大规模休息状态脑网络的分离下降有关

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摘要

Aging is typically associated with substantial declines inmotor functioning as well as robust changes in the functional organization of brain networks. Previous research has investigated the link between these 2 age-varying factors but examinations were predominantly limited to the functional organization within motor-related brain networks. Little is known about the relationship between age-related behavioral impairments and changes in functional organization at the whole brain (i.e., multiple network) level. This knowledge gap is surprising given that the decreased segregation of brain networks ( i.e., increased internetwork connectivity) can be considered a hallmark of the aging process. Accordingly, we investigated the association between declines in motor performance across the adult lifespan (20-75 years) and age-related modulations of functional connectivity within and between resting state networks. Results indicated that stronger internetwork resting state connectivity observed as a function of age was significantly related to worse motor performance. Moreover, performance had a significantly stronger association with the strength of internetwork as compared with intranetwork connectivity, including connectivity within motor networks. These findings suggest that age-related declines in motor performance may be attributed to a breakdown in the functional organization of large-scale brain networks rather than simply age-related connectivity changes within motor-related networks.
机译:老化通常与大量拒绝功能下降相关的衰老以及脑网络功能组织的强劲变化。以前的研究已经调查了这两个年龄不同因素之间的联系,但考试主要限于电机相关脑网络中的功能组织。关于与年龄相关的行为障碍与整个大脑功能组织的变化的关系很少。鉴于大脑网络的分离(即,增加互联网连接)的分离可以被视为老化过程的标志,这种知识差距令人惊讶。因此,我们调查了成人寿命(20-75岁)的电机性能下降与休息状态网络内和之间的功能连通性的年龄相关调制之间的关联。结果表明,随着年龄函数观察到的更强大的互联网休息状态连接与更糟糕的电机性能显着。此外,与Intranetwork连通性相比,性能与互联网的强度有明显更强的关联,包括电机网络中的连接。这些调查结果表明,电机性能的年龄相关的下降可能归因于大规模脑网络的功能组织中的故障,而不是在电机相关网络中的简单年龄相关的连接变化。

著录项

  • 来源
    《Cerebral cortex》 |2018年第12期|共13页
  • 作者单位

    Katholieke Univ Leuven Dept Movement Sci Biomed Sci Movement Control &

    Neuroplast Res Grp B-3000;

    Katholieke Univ Leuven Dept Movement Sci Biomed Sci Movement Control &

    Neuroplast Res Grp B-3000;

    Katholieke Univ Leuven Dept Movement Sci Biomed Sci Movement Control &

    Neuroplast Res Grp B-3000;

    Katholieke Univ Leuven Dept Movement Sci Biomed Sci Movement Control &

    Neuroplast Res Grp B-3000;

    Katholieke Univ Leuven Dept Movement Sci Biomed Sci Movement Control &

    Neuroplast Res Grp B-3000;

    Katholieke Univ Leuven Dept Movement Sci Biomed Sci Movement Control &

    Neuroplast Res Grp B-3000;

    Katholieke Univ Leuven Dept Movement Sci Biomed Sci Movement Control &

    Neuroplast Res Grp B-3000;

    Katholieke Univ Leuven Dept Movement Sci Biomed Sci Movement Control &

    Neuroplast Res Grp B-3000;

    Katholieke Univ Leuven Dept Movement Sci Biomed Sci Movement Control &

    Neuroplast Res Grp B-3000;

    Katholieke Univ Leuven Dept Movement Sci Biomed Sci Movement Control &

    Neuroplast Res Grp B-3000;

    Katholieke Univ Leuven Dept Movement Sci Biomed Sci Movement Control &

    Neuroplast Res Grp B-3000;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 头部及神经外科学;
  • 关键词

    aging; bimanual; functional connectivity; motor performance; resting state;

    机译:老化;Bimanual;功能连通性;电机性能;休息状态;

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