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相关概念视频

Biological Influences on Intelligence01:30

Biological Influences on Intelligence

Intelligence is often thought to be linked to brain size, but the relationship is more complex than that. While brain size does correlate modestly with some abilities, like verbal skills, the connection is weaker for others, such as spatial reasoning. Other factors, like brain structure, also play crucial roles. For instance, despite Einstein's smaller-than-average brain, his parietal cortex, which is involved in spatial reasoning, was 15% wider, suggesting that neural density might matter more...

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相关实验视频

Updated: Jun 19, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
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从大脑网络预测执行功能:模式特异性和年龄影响

Marisa K Heckner1,2, Edna C Cieslik1,2, Lya K Paas Oliveros1,2

  • 1Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, 52425 Jülich, Germany.

Cerebral cortex (New York, N.Y. : 1991)
|October 2, 2023
PubMed
概括
此摘要是机器生成的。

大脑结构和功能随着年龄的增长而发生变化,影响执行功能 (EF). 这项研究发现,从灰色质量和功能连接等大脑指标预测个体EF的成功有限,这表明需要新的方法.

关键词:
认知老龄化 认知老龄化他们的精神能力.多层静止状态 fMRI 多层静止状态 fMRI预测建模预测建模结构性核磁共振成像 (MRI)

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科学领域:

  • 神经科学是一个神经科学.
  • 认知心理学 认知心理学
  • 衰老研究研究 衰老研究

背景情况:

  • 健康老龄化涉及与执行功能 (EF) 衰退相关的大脑网络变化.
  • 个体EF差异的神经支仍然不清楚.
  • 对EF的静止状态功能连接 (RSFC) 的生物标志物潜力进行了讨论.

研究的目的:

  • 从年轻和老年人的大脑指标来预测个人的执行功能 (EF) 能力.
  • 在不同大脑网络中调查模式特定的预测准确性.
  • 为了确定EF的脑行为关系的年龄和任务依赖性.

主要方法:

  • 检查的灰色物质体积 (GMV),区域均性,低频波动的分数振幅 (fALFF) 和RSFC.
  • 利用单变量和多变量分析框架进行样本外预测.
  • 在不同的大脑网络中,年轻人和老年人之间的预测准确度进行了比较.

主要成果:

  • 总的来说,发现预测准确度较低 (R2 < 0.07) 和脑行为相关性较弱 (r < 0.28).
  • 对于老年人的EF,区域GMV的信息性最强,而对于年轻人的EF,fALFF的预测性更强.
  • 预测准确度在很大程度上取决于模式,并随年龄而变化.

结论:

  • 目前的大脑指标 (GMV,fALFF,RSFC) 作为个人EF生物标志物具有有限的实用性.
  • 未来的研究应该探索全球大脑特性和基于任务的功能连接.
  • 适应性行为测试可能会在不同年龄组中产生更敏感的EF预测指标.