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关联规划绩效与中背外侧前额叶皮层的灰质密度:年龄和性别调节作用。

Linking planning performance and gray matter density in mid-dorsolateral prefrontal cortex: moderating effects of age and sex.

机构信息

Dept. of Neurology, University Medical Center, University of Freiburg, Germany.

出版信息

Neuroimage. 2012 Nov 15;63(3):1454-63. doi: 10.1016/j.neuroimage.2012.08.032. Epub 2012 Aug 17.

Abstract

Planning of behavior relies on the integrity of the mid-dorsolateral prefrontal cortex (mid-dlPFC). Yet, only indirect evidence exists on the association of protracted maturation of dlPFC and continuing gains in planning performance post adolescence. Here, gray matter density of mid-dlPFC in young, healthy adults (18-32 years) was regressed onto performance on the Tower of London planning task while accounting for moderating effects of age and sex on this interrelation. Multiple regression analysis revealed an association of planning performance and mid-dlPFC gray matter density that was especially strong in late adolescence and early twenties. As expected, for males better planning performance was linked to reduced gray matter density of mid-dlPFC, possibly due to maturational processes such as synaptic pruning. Most surprisingly, females showed an inverted, positive interrelation of planning performance and mid-dlPFC gray matter density, indicating that sexually dimorphic development of dlPFC continues during early adulthood. Age and sex are hence important moderators of the link between planning performance and gray matter density in mid-dlPFC. Consequently, the assessment of moderator effects in regression designs can significantly enhance understanding of brain-behavior relationships.

摘要

行为规划依赖于中背外侧前额叶皮层(mid-dlPFC)的完整性。然而,关于 dlPFC 持续成熟与青春期后规划表现持续提高之间的关联,只有间接证据。在此,对年轻健康成年人(18-32 岁)的 mid-dlPFC 灰质密度进行回归分析,以研究塔伦图规划任务的表现,同时考虑年龄和性别对这种相互关系的调节作用。多元回归分析显示,规划表现与 mid-dlPFC 灰质密度之间存在关联,这种关联在青少年后期和二十出头时尤为强烈。正如预期的那样,对于男性来说,更好的规划表现与 mid-dlPFC 灰质密度的降低有关,这可能是由于突触修剪等成熟过程。最令人惊讶的是,女性的规划表现与 mid-dlPFC 灰质密度之间呈现出相反的正相关关系,这表明 dlPFC 的性别二态性发育在成年早期仍在继续。因此,年龄和性别是规划表现与 mid-dlPFC 灰质密度之间联系的重要调节因素。因此,在回归设计中评估调节效应可以显著提高对大脑-行为关系的理解。

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