从大脑结构的规范模型捕获个人偏差,用于抑郁症诊断和治疗
Junneng Shao1, Jiaolong Qin2, Huan Wang1
1School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China; Key Laboratory of Child Development and Learning Science, Ministry of Education, Southeast University, Nanjing, China.
Biological psychiatry
|August 14, 2023
概括
个体大脑灰质偏差,而不是群体平均值,可以识别抑郁症风险并指导治疗. 这种个性化的方法可以更准确地了解抑郁症.
科学领域:
- 神经成像和计算精神病学
- 精神健康障碍中的大脑结构异常
背景情况:
- 抑郁症的异质性使得可重现的大脑成像研究变得复杂.
- 目前的诊断和治疗方法缺乏个性化,原因是不一致的解剖图.
研究的目的:
- 通过分析与规范灰色物质体积范围的个别偏差来研究抑郁症.
- 开发一个个性化的抑郁症诊断和治疗框架.
主要方法:
- 使用1092名健康成年人 (18-65岁) 的结构性MRI数据建立了灰色物质体积的规范模型.
- 从规范范围对187名抑郁患者和166名健康对照患者的量化个体偏差,使用规范概率图.
- 利用贝叶斯模型来识别疾病风险和与治疗相关的潜在因素.
主要成果:
- 规范性建模揭示了抑郁症中大脑异常的高度个性化模式,极端偏差不到11%的重叠.
- 使用个人规范概率图的分类模型的表现优于使用原始灰色物质体积的分类模型 (AUC 0.7146-0.7836对比 0.6800-0.7036).
- 确定了与抗抑郁药治疗反应相关的明显的潜在大脑结构因素.
结论:
- 从规范性大脑结构偏差的个性化分析对于理解抑郁症的神经生物学至关重要.
- 这种方法可以显著提高临床诊断和抑郁症的个性化治疗.
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