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帕金森病和异动症纹状体微回路中功能连接组学的病理生理特征

Pathophysiological signatures of functional connectomics in parkinsonian and dyskinetic striatal microcircuits.

作者信息

Pérez-Ortega Jesús, Duhne Mariana, Lara-González Esther, Plata Victor, Gasca Deisy, Galarraga Elvira, Hernández-Cruz Arturo, Bargas José

机构信息

División de Neurociencias, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, México City, DF, Mexico.

Instituto de Neurobiología, Universidad Nacional Autónoma de México, Juriquilla, Querétaro, Mexico.

出版信息

Neurobiol Dis. 2016 Jul;91:347-61. doi: 10.1016/j.nbd.2016.02.023. Epub 2016 Mar 4.

Abstract

A challenge in neuroscience is to integrate the cellular and system levels. For instance, we still do not know how a few dozen neurons organize their activity and relations in a microcircuit or module of histological scale. By using network theory and Ca(2+) imaging with single-neuron resolution we studied the way in which striatal microcircuits of dozens of cells orchestrate their activity. In addition, control and diseased striatal tissues were compared in rats. In the control tissue, functional connectomics revealed small-world, scale-free and hierarchical network properties. These properties were lost during pathological conditions in ways that could be quantitatively analyzed. Decorticated striatal circuits disclosed that corticostriatal interactions depend on privileged connections with a set of highly connected neurons or "hubs". In the 6-OHDA model of Parkinson's disease there was a decrease in hubs number; but the ones that remained were linked to dominant network states. l-DOPA induced dyskinesia provoked a loss in the hierarchical structure of the circuit. All these conditions conferred distinct temporal sequences to circuit activity. Temporal sequences appeared as particular signatures of disease process thus bringing the possibility of a future quantitative pathophysiology at a histological scale.

摘要

神经科学面临的一个挑战是整合细胞水平和系统水平。例如,我们仍然不知道几十万个神经元是如何在组织学尺度的微电路或模块中组织它们的活动和关系的。通过使用网络理论和具有单神经元分辨率的Ca(2+)成像技术,我们研究了由几十个细胞组成的纹状体微电路协调其活动的方式。此外,还对大鼠的对照纹状体组织和患病纹状体组织进行了比较。在对照组织中,功能连接组学揭示了小世界、无标度和分层网络特性。在病理状态下,这些特性以可定量分析的方式丧失。去皮质纹状体回路表明,皮质-纹状体相互作用依赖于与一组高度连接的神经元或“枢纽”的特殊连接。在帕金森病的6-OHDA模型中,枢纽数量减少;但剩下的枢纽与占主导地位的网络状态相关联。左旋多巴诱发的运动障碍导致回路分层结构的丧失。所有这些情况都赋予了回路活动不同的时间序列。时间序列表现为疾病过程的特殊特征,从而为未来在组织学尺度上进行定量病理生理学研究带来了可能性。

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