多尺度皮质形态学揭示了在整个生命周期中明显的区域和尺度依赖的变化
Karoline Leiberg1, Timo Blattner2, Bethany Little1
1CNNP Lab (www.cnnp-lab.com), Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, 1 Science Square, NE4 5TG, Newcastle upon Tyne, United Kingdom.
Cerebral cortex (New York, N.Y. : 1991)
|June 23, 2025
概括
皮层形态的变化在整个生命周期有很大的不同,随着空间尺度的变化. 多尺度分析揭示了不同尺度上的相反趋势,改善了大脑年龄预测模型.
科学领域:
- 神经成像是一种神经成像.
- 发育神经科学的发展神经科学.
- 计算解剖学的计算解剖学
背景情况:
- 整个寿命的皮层形态变化对于理解大脑发育和衰老至关重要.
- 传统的形态测量通常显示单调的下降,掩盖复杂的,规模依赖的变化.
- 以前的研究仅限于单个长度尺度,可能过度简化了寿命轨迹.
研究的目的:
- 在多个空间尺度上描述皮质形态的寿命变化.
- 为了研究不同长度尺度如何揭示大脑结构的分歧或对立趋势.
- 评估多尺度形态测量对大脑年龄预测的附加值.
主要方法:
- 应用多尺度形态测量分析结构性MRI数据从两个大队伍 (N=1474),年龄在6至88岁.
- 在各种空间尺度 (例如,0.7毫米,1.86毫米) 上推导出人口水平寿命轨迹.
- 在一个大脑年龄预测任务中评估了多尺度形态测量的预测性能.
主要成果:
- 皮层形态的寿命轨迹不同,并在不同的空间尺度上显示相反的趋势.
- 较大的尺度 (例如1.86毫米) 在整个使用寿命中表现出最实质性的变化 (高达60%).
- 多尺度形态测量显著改善了大脑年龄的预测,将调整后的R平方从0.35增加到0.7.
结论:
- 皮层形态在整个生命周期中表现出复杂的,依赖规模的变化.
- 在多个长度尺度上考虑形态学,可以更全面地了解大脑衰老.
- 多尺度形态测量分析为规范建模和识别异常提供了宝贵的基础.
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