基于大脑的行为预测的挑战和前景
Jianxiao Wu1,2, Jingwei Li3,4, Simon B Eickhoff3,4
1Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Center Jülich, Jülich, Germany. j.wu@fz-juelich.de.
Nature human behaviour
|July 31, 2023
概括
基于神经成像的预测建模使用大脑模式来预测行为. 本文重点介绍了系统神经科学这个日益增长的领域的当前挑战和潜在解决方案.
科学领域:
- 系统神经科学 系统神经科学
- 神经成像是一种神经成像.
- 机器学习 机器学习
背景情况:
- 将个体大脑模式与行为联系起来,是系统神经科学的一个核心挑战.
- 由于大数据集和计算能力,预测建模方法正在获得引力.
- 神经成像功能可以与机器学习一起用于预测行为差异.
研究的目的:
- 审查基于神经成像的预测建模现有和预期的挑战.
- 分析这些挑战对基于大脑的预测的影响.
- 为可解决的挑战提出解决方案,并承认概念上的局限性.
主要方法:
- 审查当前文献和预期的未来问题在神经成像预测建模.
- 分析识别的挑战如何影响基于大脑的预测的准确性和可靠性.
- 识别潜在的解决方案和战略,以克服局限性.
主要成果:
- 基于神经成像的预测建模领域面临着几个可能阻碍其应用的挑战.
- 这些挑战影响了从大脑数据准确预测行为差异的能力.
- 对于一些挑战,存在潜在的解决方案,而另一些则需要进一步的概念开发.
结论:
- 解决已识别的挑战对于推进基于神经成像的预测建模至关重要.
- 该领域有可能以数据驱动的方式识别生物标志物和神经相关物.
- 为了负责任地开发和应用这些方法,需要仔细考虑限制.
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