为了更好地衡量功能横向性:在静止状态的功能连接中比较和完善横向性指数
Taeyoung Lee1, Kyunghwan Kim2, Seo Yeong Ha3
1Department of Biomedical Engineering, Hanyang University Graduate School of Biomedical Science & Engineering, Seoul, Korea; Department of Psychiatry, Kyungpook National University School of Medicine, Daegu, Korea; Department of Psychiatry, Kyungpook National University Hospital, Daegu, Korea.
NeuroImage
|February 6, 2026
概括
这项研究表明,使用积极的功能连接与宽松的门最好地捕捉与语言和视觉空间技能相关的大脑横向化. 这些发现改进了我们如何使用静止状态fMRI测量大脑侧向化.
科学领域:
- 神经科学是一个神经科学.
- 认知神经科学 认知神经科学
- 脑部成像 脑部成像
背景情况:
- 人类大脑表现出一种基于认知过程的两种功能架构.
- 这种架构涉及半球间和半球内侧面化,反映神经集成和分离.
研究的目的:
- 为了全面评估静止状态fMRI连接中的定量横向性指标.
- 为了说明相关性如何塑造功能横向化,并突出影响因素.
主要方法:
- 休息状态功能磁共振成像 (fMRI) 连接数据的分析.
- 评估多个定量横向性指标.
- 概念模型的应用,以了解相关性影响.
主要成果:
- 基于只有正的功能连接和宽松的值的横向度量最有效地捕捉大脑的横向化.
- 功能性大脑横向化和语言/视觉空间表现之间的确立关系一直被确定.
结论:
- 衡量标准和值的选择对基于功能连接的横向性指数的解释产生重大影响.
- 只有积极的连接与宽松的门为研究大脑横向化及其认知相关的研究提供了强大的方法.
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