Maleki Balajoo Somayeh, Plachti Anna, Nicolaisen-Sobesky Eliana, Dong Debo, Hoffstaedter Felix, Meuth Sven G, Melzer Nico, Eickhoff Simon B, Genon Sarah
Institute of Systems Neuroscience, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Institute of Neuroscience and Medicine (INM-7: Brain and Behaviour), Research Centre Jülich, Jülich, Germany.
Hum Brain Mapp. 2024 Dec 15;45(18):e70099. doi: 10.1002/hbm.70099.
The human hippocampus is a key region in cognitive and emotional processing, but also a vulnerable and plastic region. Accordingly, there is a great interest in understanding how variability in the hippocampus' structure relates to variability in behavior in healthy and clinical populations. In this study, we aimed to link interindividual variability in subregional hippocampal networks (i.e., the brain grey matter networks of hippocampal subregions) to variability in behavioral phenotype. To do so, we used a multiblock multivariate approach mapping the association between grey matter volume in hippocampal subregions, grey matter volume in the whole brain regions, and behavioral variables in healthy adults. To ensure the robustness and generalizability of the findings, we implemented a cross-cohort discovery and validation framework. This framework utilized two independent cohorts: the Human Connectome Project Young Adult (HCP-YA) cohort and the Human Connectome Project Aging (HCP-A) cohort, enabling us to assess the replicability and generalizability of hippocampal-brain-behavior phenotypes across different age groups in the population. Our results highlighted a left anterior hippocampal morphological network including the left amygdala and the posterior midline structures whose expression relates to higher self-regulation, life satisfaction, and better performance at standard neuropsychological tests. The cross-cohort generalizability of the hippocampus-brain-behavior mapping demonstrates its relevance beyond a specific population sample. Our previous work in developmental populations showed that the hippocampus' head co-maturates with most of the brain during childhood. The current data-driven study further suggests that grey matter volume in the left hippocampal head network would be particularly relevant for self-regulation abilities in adults that influence a range of life outcomes. Future studies should thus investigate the factors influencing the development of this morphological network across childhood, as well as its relationship to neurocognitive phenotypes in various brain diseases.
人类海马体是认知和情绪处理的关键区域，同时也是一个脆弱且具有可塑性的区域。因此，人们对了解海马体结构的变异性如何与健康人群和临床人群的行为变异性相关联有着浓厚的兴趣。在本研究中，我们旨在将海马体亚区域网络（即海马体亚区域的脑灰质网络）的个体间变异性与行为表型的变异性联系起来。为此，我们采用了多块多变量方法，绘制海马体亚区域的灰质体积、全脑区域的灰质体积与健康成年人行为变量之间的关联。为确保研究结果的稳健性和普遍性，我们实施了跨队列发现和验证框架。该框架利用了两个独立的队列：人类连接体项目青年成人（HCP - YA）队列和人类连接体项目衰老（HCP - A）队列，使我们能够评估海马体 - 脑 - 行为表型在人群中不同年龄组的可重复性和普遍性。我们的结果突出了一个左侧前海马体形态网络，包括左侧杏仁核和后中线结构，其表达与更高的自我调节能力、生活满意度以及在标准神经心理学测试中的更好表现相关。海马体 - 脑 - 行为映射的跨队列普遍性证明了其在特定人群样本之外的相关性。我们之前在发育人群中的研究表明，海马体头部在童年时期与大脑的大部分区域共同成熟。当前的数据驱动研究进一步表明，左侧海马体头部网络中的灰质体积对于影响一系列生活结果的成年人自我调节能力可能特别重要。因此，未来的研究应调查影响该形态网络在整个童年时期发育的因素，以及它与各种脑部疾病中神经认知表型的关系。
