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查看所有相关文章
  1. 首页
  3. 使用功能连接识别左半球和右半球.
  1. 首页
  3. 使用功能连接识别左半球和右半球.

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Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice
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使用功能连接识别左半球和右半球.

Trevor K M Day1, Peter E Turkeltaub1,2, Elissa L Newport1,2

  • 1Center for Brain Plasticity and Recovery, Georgetown University, Washington, D.C., U.S.A.

bioRxiv : the preprint server for biology
|December 19, 2025

在PubMed 上查看摘要

概括
此摘要是机器生成的。

监督学习准确地区分使用功能连接的右脑半球和左脑半球. 这种大脑半球分类对于右手的人来说是非常准确的,对于左手的人来说是中度准确的.

关键词:
连接ome 连接ome 连接ome这是一种双手性.半球组织 半球组织他是左撇子,是左撇子.这是右撇子的右撇子.

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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科学领域:

  • 神经科学是一个神经科学.
  • 认知科学 认知科学
  • 机器学习 机器学习

背景情况:

  • 人类大脑的左半球和右半球表现出组织上的差异,特别是在语言处理方面.
  • 了解半球专业化对于神经科学和临床应用至关重要.
  • 功能连接模式为研究大脑组织提供了一种新的方法.

研究的目的:

  • 为了确定监督学习是否可以根据功能连接数据对大脑半球 (左与右) 进行分类.
  • 调查手性对半球分类准确性的影响.
  • 探索使用功能连接的潜力,同时识别手性和半球性.

主要方法:

  • 利用了来自人类连接组项目 (Human Connectome Project) 的功能连接数据.
  • 雇用监督学习算法用于半球分类.
  • 分析了不同程度手性参与者的分类准确性 (爱丁堡手性库存[EHI]).

主要成果:

  • 在右撇子参与者中实现了高分类准确度 (> .90) 来区分左半球和右半球 (EHI > 0).
  • 在左撇子参与者 (EHI ≤0) 中分类半球时保持高,但略有降低的准确性.
  • 没有成功地识别与半球奇拉性一起的双手性,但发现半球区分能力减少与左手性更强相关.

结论:

  • 监督学习有效地根据功能连接性对人类大脑半球进行分类,特别是在右撇子个体中.
  • 半球组织和独特性受到手性的影响.
  • 研究结果提供了对发育和伤害后半球组织的见解,并为未来的研究提供了潜力.