识别晚年抑郁症个性化脑生物标志物的挑战。

Advances in geriatric medicine and research Pub Date : 2023-01-01 Epub Date: 2024-01-24 DOI:10.20900/agmr20230010
Kayla Hannon, Janine Bijsterbosch
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引用次数: 0

摘要

对晚年抑郁症(LLD)神经影像生物标志物的研究发现了晚年抑郁症的神经相关因素,包括白质高密度增加和海马体积缩小。然而,对晚年抑郁症神经影像生物标志物的研究在很大程度上并不一致。这种缺乏可复制性的现象可能是由于与构建变异性、病因异质性和实验严谨性相关的挑战造成的。我们讨论了帮助应对这些挑战的建议,包括改进构造标准化、增加样本量、采用多模态方法分析异质性以及使用个性化分析模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Challenges in Identifying Individualized Brain Biomarkers of Late Life Depression.

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.

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