大脑年龄不是晚年抑郁症复发风险的重要预测因素
Helmet T Karim1, Andrew Gerlach2, Meryl A Butters2
1Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Bioengineering, University of Pittsburgh, Pittsburgh, Pennsylvania.
Biological psychiatry. Cognitive neuroscience and neuroimaging
|September 30, 2024
概括
大脑年龄没有预测晚年抑郁症 (LLD) 的复发. 这项研究没有发现LLD和健康对照人之间大脑年龄的显著差异,也没有预测复发风险.
科学领域:
- 神经科学是一个神经科学.
- 精神病学是一个精神病学.
- 老年学是指老年学的学科.
背景情况:
- 晚年抑郁症 (LLD) 与大脑体积减少和大脑衰老加速有关.
- 对LLD复发的神经生物学预测因素的纵向研究很少.
- 机器学习大脑年龄模型为预测LLD复发提供了潜在的可能性.
研究的目的:
- 调查机器学习大脑年龄模型与LLD复发风险之间的潜在关联.
- 为了比较患有LLD和健康对照个体之间的大脑年龄.
- 为了确定基线大脑年龄是否预测LLD患者的复发.
主要方法:
- 一项为期2年的纵向研究包括102名LLD患者 (缓解期) 和43名健康对照 (HC).
- 基线神经成像被用来通过机器学习算法计算大脑年龄.
- 考克斯的比例危险模型评估了LLD复发的基线大脑年龄的预测值.
主要成果:
- 在HC和LLD组之间没有观察到大脑年龄的显著差异.
- 在HC,缓解LLD和复发LLD组中,大脑年龄没有显著差异.
- 基线大脑年龄并不能显著预测LLD患者复发时间.
结论:
- 与假设相反,大脑年龄在健康对照组和经过缓解的LLD患者之间没有差异.
- 大脑年龄与随后的LLD复发无关.
- 这些发现与一些关于基线大脑年龄差异的文献形成对比,但与基于粗略结构措施没有复发预测的研究一致.
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