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个体水平贯穿整个生命周期的灰质体积轨迹研究。

Investigating grey matter volumetric trajectories through the lifespan at the individual level.

机构信息

School of Data Science, Fudan University, Shanghai, China.

Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.

出版信息

Nat Commun. 2024 Jul 15;15(1):5954. doi: 10.1038/s41467-024-50305-0.

Abstract

Adolescents exhibit remarkable heterogeneity in the structural architecture of brain development. However, due to limited large-scale longitudinal neuroimaging studies, existing research has largely focused on population averages, and the neurobiological basis underlying individual heterogeneity remains poorly understood. Here we identify, using the IMAGEN adolescent cohort followed up over 9 years (14-23 y), three groups of adolescents characterized by distinct developmental patterns of whole-brain gray matter volume (GMV). Group 1 show continuously decreasing GMV associated with higher neurocognitive performances than the other two groups during adolescence. Group 2 exhibit a slower rate of GMV decrease and lower neurocognitive performances compared with Group 1, which was associated with epigenetic differences and greater environmental burden. Group 3 show increasing GMV and lower baseline neurocognitive performances due to a genetic variation. Using the UK Biobank, we show these differences may be attenuated in mid-to-late adulthood. Our study reveals clusters of adolescent neurodevelopment based on GMV and the potential long-term impact.

摘要

青少年的大脑发育结构表现出显著的异质性。然而,由于大规模纵向神经影像学研究的局限性,现有研究主要集中在人群平均值上,个体异质性的神经生物学基础仍知之甚少。在这里,我们使用 IMAGEN 青少年队列进行了超过 9 年(14-23 岁)的随访,确定了三组青少年,他们的全脑灰质体积(GMV)表现出不同的发育模式。组 1 表现出 GMV 的持续减少,与青春期其他两组相比,神经认知表现更高。组 2 与组 1 相比,GMV 减少的速度较慢,神经认知表现较低,这与表观遗传差异和更大的环境负担有关。组 3 由于遗传变异表现出 GMV 的增加和较低的基线神经认知表现。使用英国生物银行,我们发现这些差异可能在中年到晚年时会减弱。我们的研究揭示了基于 GMV 的青少年神经发育聚类及其潜在的长期影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/285e/11251262/63280fe84ea6/41467_2024_50305_Fig1_HTML.jpg

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