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相关概念视频

Neuroplasticity01:01

Neuroplasticity

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Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
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Neural Regulation01:37

Neural Regulation

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Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
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相关实验视频

Updated: Jun 5, 2025

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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精确的神经学 精确的神经学

Steven L Small1

  • 1Department of Neuroscience, University of Texas at Dallas, Dallas, TX, USA; Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Neurology, The University of Chicago, Chicago, IL, USA; Department of Neurology, University of California, Irvine, Orange, CA, USA.

Ageing research reviews
|December 10, 2024
PubMed
概括
此摘要是机器生成的。

神经学的精准医学利用基因组和现象数据,以及成像和行为洞察力,以实现个性化的神经疾病预测和预防. 这种以数据为导向的方法超越了人口研究,为量身定制的患者护理.

关键词:
生物标志物生物标志物模拟大脑的模拟神经退行性疾病是一种神经退行性疾病.俄米克斯 (Omics) 是一个电子游戏.个性化医疗是个性化的医疗.基于价值的护理是基于价值的护理.

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科学领域:

  • 神经学 神经学
  • 基因组学就是基因组学.
  • 现象学 是一种现象学.
  • 神经成像是一种神经成像.
  • 计算神经科学是一种神经科学.

背景情况:

  • 神经诊断已经从传统方法发展到数据密集型,计算机辅助的过程.
  • 人口级随机对照试验 (RCT) 有先进的治疗方法,但也有局限性.
  • 越来越多的个人数据需要转向个性化方法.

研究的目的:

  • 审查神经学中精准医学的基因组,现象和计算方面.
  • 探索各种数据类型的整合,以实现个性化的神经保健.
  • 讨论计算和大脑模拟在精密神经学中的作用.

主要方法:

  • 对神经学中基因组,现象和神经成像数据的现有文献的审查.
  • 讨论生物标记物及其应用.
  • 探索计算方法和大脑模拟的探索.

主要成果:

  • 神经学中的精准医学集成了基因组,现象学,成像和行为数据.
  • 这种整合使得个性化的预测,预防和治疗策略成为可能.
  • 计算工具和大脑模拟对于推进精确神经学的发展至关重要.

结论:

  • 精准医学提供了一个范式的转变,从基于人群的研究到个性化的神经治疗.
  • 多模式数据的结合是实现个性化预测,预防和治疗的关键.
  • 这篇文章讨论了精准医学和基于价值的医疗保健模型之间的关系.