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Sevdalina Kandilarova¹, Eleonora Maggioni^2,3, Letizia Squarcina⁴

¹Department of Psychiatry and Medical Psychology, Research Institute and SRIPD-MUP, Medical University of Plovdiv, Plovdiv, Bulgaria sevdalina.kandilarova@mu-plovdiv.bg.

BMJ mental health

|June 11, 2025

概括

大型抑郁症 (MDD) 和双相情感障碍 (BD) 之间存在大脑结构上的差异. 神经成像可以改善这些情绪障碍的诊断和治疗.

科学领域:

神经成像是一种神经成像.
神经精神病学是一种神经精神病学.
大脑形态学大脑形态学

背景情况:

区分主要抑郁症 (MDD) 和双相情感障碍 (BD) 在临床上具有挑战性,因为症状重叠.
通过神经成像识别的结构性大脑异常可以作为诊断生物标志物.

研究的目的:

探索大脑形态特征 (灰质体积和皮质厚度) 与MDD,BD和健康对照中的临床变量之间的关系.
为了确定潜在的神经成像生物标志物来区分情绪障碍.

主要方法:

分析了263名参与者 (120名健康对照,95名MDD,48名BD) 的T1加权MRI扫描.
灰色物质体积 (GMV) 和皮质厚度 (CT) 为标准化的大脑区域计算.
多变量部分最小平方 (PLS) 回归评估了与人口统计和诊断变量的关联.

主要成果:

与健康对照人群相比,MDD和BD都显示了前皮层厚度 (CT) 的降低.
在MDD和BD之间观察到CT和小脑灰质体积 (GMV) 的明显模式.
双极性障碍 (BD) 在CT和小脑/状腺的GMV减少中表现出与年龄相关的趋势.

结论:

在MDD和BD中共享和独特的结构性大脑变化突显了神经成像对诊断增强的潜力.
加快皮层稀释和BD中的特定小脑变化需要进一步研究临床干预措施.
客观神经成像标记可以提高情绪障碍诊断和治疗结果的精度.

关键词:

数据解释,统计学抑郁症和情绪障碍抑郁症和情绪障碍机器学习机器学习

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