Age-associated trajectories of hippocampus subregion volumes from childhood through later adulthood

IF 4 3区 医学 Q2 GERIATRICS & GERONTOLOGY
Neurobiology of Aging Pub Date : 2025-12-01 Epub Date: 2025-08-13 DOI:10.1016/j.neurobiolaging.2025.08.002
Suril Gohel , Chi C. Chan , Isabelle Baptista , Philip R. Szeszko
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引用次数: 0

Abstract

The hippocampus has been widely implicated in the neurobiology of neurologic and psychiatric disorders. This structure is heterogeneous, however, and comprised of multiple subregions that have different connectivity patterns and functions. Better understanding how these subregions are affected by age and their relationship with neurocognition could provide information regarding how alterations in normal trajectories play a role in disease and cognitive dysfunction. Using natural splines we modeled the trajectory of 4 hippocampus subregions (i.e., CA composite, DG composite, tail and subiculum) derived from automated segmentation of magnetic resonance images using FreeSurfer in a cohort of 674 (440F/234M) healthy individuals ranging in age from 6 to 85 years. Following adjustment for covariates the best fitting model for all subregions was a spline with 2 degrees of freedom, which included one internal knot and two boundary knots. The peak age at which all subregions achieved maximum volume occurred in the fourth decade of life. Prior to the peak age there was no significant mediating effect of hippocampus subregion volume on the relationship between age and memory. Following the peak age, however, hippocampal subregions partially mediated the relationship between age and memory performance with the proportion mediated ranging from 11 % (subiculum) to 17 % (CA composite), but with no significant effects observed for the tail. These findings provide novel information regarding the trajectory of individual hippocampus subregion volumes across the age span and suggest they mediate the relationship between age and memory performance.
从童年到成年后期海马亚区体积的年龄相关轨迹
海马体与神经和精神疾病的神经生物学有着广泛的联系。然而,这种结构是异构的,由具有不同连接模式和功能的多个子区域组成。更好地了解这些亚区如何受到年龄的影响,以及它们与神经认知的关系,可以提供关于正常轨迹的改变如何在疾病和认知功能障碍中发挥作用的信息。利用FreeSurfer对674名(440F/234M)年龄在6岁至85岁之间的健康个体的磁共振图像进行自动分割,我们利用自然样条模型模拟了4个海马亚区(即CA复合区、DG复合区、尾区和下托区)的轨迹。在协变量调整后,所有子区域的最佳拟合模型是2自由度的样条曲线,其中包括一个内部结和两个边界结。所有分区域实现最大体积的高峰年龄发生在生命的第四个十年。在峰值年龄之前,海马次区域体积对年龄与记忆的关系没有显著的中介作用。然而,在峰值年龄之后,海马亚区部分介导了年龄与记忆表现之间的关系,介导的比例从11. %(下骨)到17. % (CA复合)不等,但对尾巴没有显著影响。这些发现提供了关于个体海马体亚区体积在年龄范围内的轨迹的新信息,并表明它们介导了年龄和记忆表现之间的关系。
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来源期刊
Neurobiology of Aging
Neurobiology of Aging 医学-老年医学
CiteScore
8.40
自引率
2.40%
发文量
225
审稿时长
67 days
期刊介绍: Neurobiology of Aging publishes the results of studies in behavior, biochemistry, cell biology, endocrinology, molecular biology, morphology, neurology, neuropathology, pharmacology, physiology and protein chemistry in which the primary emphasis involves mechanisms of nervous system changes with age or diseases associated with age. Reviews and primary research articles are included, occasionally accompanied by open peer commentary. Letters to the Editor and brief communications are also acceptable. Brief reports of highly time-sensitive material are usually treated as rapid communications in which case editorial review is completed within six weeks and publication scheduled for the next available issue.
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