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识别老年抑郁症个体化脑生物标志物面临的挑战。

Challenges in Identifying Individualized Brain Biomarkers of Late Life Depression.

作者信息

Hannon Kayla, Bijsterbosch Janine

机构信息

Department of Radiology, Washington University in St Louis, St Louis MO, 63110, USA.

出版信息

Adv Geriatr Med Res. 2023;5(4). doi: 10.20900/agmr20230010. Epub 2024 Jan 24.

Abstract

Research into neuroimaging biomarkers for Late Life Depression (LLD) has identified neural correlates of LLD including increased white matter hyperintensities and reduced hippocampal volume. However, studies into neuroimaging biomarkers for LLD largely fail to converge. This lack of replicability is potentially due to challenges linked to construct variability, etiological heterogeneity, and experimental rigor. We discuss suggestions to help address these challenges, including improved construct standardization, increased sample sizes, multimodal approaches to parse heterogeneity, and the use of individualized analytical models.

摘要

对老年期抑郁症(LLD)神经影像学生物标志物的研究已经确定了LLD的神经关联,包括白质高信号增加和海马体积减小。然而,对LLD神经影像学生物标志物的研究在很大程度上未能达成共识。这种缺乏可重复性可能是由于与结构变异性、病因异质性和实验严谨性相关的挑战。我们讨论了有助于应对这些挑战的建议,包括改进结构标准化、增加样本量、采用多模态方法剖析异质性以及使用个性化分析模型。

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The Role of Analytical Flexibility in Determining Mental Health Biomarkers.分析灵活性在确定心理健康生物标志物中的作用。
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J Affect Disord. 2022 Sep 1;312:46-53. doi: 10.1016/j.jad.2022.06.005. Epub 2022 Jun 9.

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