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Updated: Jan 30, 2026

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Visualization of Cortical Modules in Flattened Mammalian Cortices
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补偿皮层厚度用于皮层折叠相关的变化
Nagehan Demirci1, Timothy S Coalson2, Maria A Holland3
1Department of Radiology, Washington University School of Medicine, St. Louis, MO, United States.
Imaging neuroscience (Cambridge, Mass.)
|January 29, 2026
概括
这项研究引入了一种新方法,通过消除折叠变异来准确测量大脑皮层厚度. 这提高了用于健康和疾病研究的大脑成像生物标志物的可靠性.
科学领域:
- 神经成像是一种神经成像.
- 大脑形态学 大脑形态学
- 计算神经科学是一种神经科学.
背景情况:
- 皮层厚度是一个关键的大脑生物标志物,但受当地皮层折叠的影响.
- 现有的折叠补偿方法不完整或降低空间精度.
- 皮层折叠的个体变化将噪声引入厚度测量.
研究的目的:
- 开发和验证一种用于折叠补偿皮质厚度估计的新方法.
- 为了提供一个更生物可解释的皮质结构的尺度.
- 提高皮层厚度作为结构表型的实用性.
主要方法:
- 开发了一种使用非线性局部多重回归与五个折叠测量的新方法.
- 模拟并从皮质厚度测量中删除与折叠相关的差异.
- 将该方法应用于人类结合体项目 (HCP-YA和HCA) 数据集.
主要成果:
- 证明了区域内和个体间的变异性大幅减少.
- 年龄对皮质厚度的标准化效应大小增加了41%.
- 保持神经生物学预期的模式和空间精度,与空间平滑不同.
结论:
- 新方法提供了更准确和可解释的皮质厚度测量.
- 这种技术可以提高皮质厚度,作为大脑健康和疾病的生物标志物.
- 该方法被整合到HCP管道中,以便在神经科学研究中得到更广泛的应用.
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