帕金森病语音生产网络通过图形理论网络分析确定
Jana Schill1, Kristina Simonyan2,3, Simon Lang1
1Department of Neurology, School of Medicine and Health Sciences, University of Oldenburg, Oldenburg, Germany.
Network neuroscience (Cambridge, Mass.)
|July 3, 2023
概括
帕金森病损害了大脑的语言网络,减少了整合和隔离. 在帕金森病患者中,情绪分心进一步破坏了这种网络.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 医疗成像医学成像
背景情况:
- 众所周知,帕金森病 (PD) 影响语言和情绪处理.
- 了解PD中神经网络的变化对于开发有针对性的干预措施至关重要.
研究的目的:
- 通过图形理论网络分析,研究帕金森病时语音处理网络 (SPN) 的变化.
- 评估情绪分心对PD患者SPN的影响.
主要方法:
- 功能性磁共振成像 (fMRI) 用于在图片命名任务中研究14名PD患者和23名健康对照.
- 这项任务涉及以中性或情绪化的面部表情为基础的超级皮质培养.
- 整个大脑图形理论网络分析应用于fMRI数据.
主要成果:
- 患有PD的患者表现出显著下降的网络指标,包括平均节点程度,平均节点强度,全球网络效率和平均集群系数.
- 在PD的SPN显示没有连接器枢纽,网络集成和隔离减少.
- 情绪分心导致PD患者的关键网络枢纽变得混乱,转向听觉,感官和运动皮层,与对照组不同.
结论:
- 帕金森病中全脑SPN的特征是整合和分离减少,信息流动模块化.
- 情绪刺激显著破坏了PD中的SPN,导致网络枢纽混乱和功能连接改变.
- 这些发现凸显了PD语音网络对情绪处理需求的脆弱性.
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