在使用卷积神经网络的通用焦虑症中预测大脑年龄
Corey Richier1,2, André Zugman2, Anita Harrewijn2,3
1Department of Psychology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Research square
|July 9, 2025
概括
这项研究发现,一般性焦虑障碍 (GAD) 患者的脑衰老没有加速. 然而,患有GAD的个体在预测的大脑年龄差异中表现出更大的变化,这表明大脑衰老模式的异质性增加.
科学领域:
- 神经成像是一种神经成像.
- 精神病学是一个精神病学.
- 衰老研究研究 衰老研究
背景情况:
- 加速的大脑衰老与精神疾病有关.
- 通用焦虑症 (GAD) 可能呈现加速衰老的标志物.
研究的目的:
- 为了确定与健康对照组 (HC) 相比,GAD患者的大脑预测年龄差异 (PAD).
- 用结构性MRI来研究PAD变异性的群体差异.
主要方法:
- 利用了来自ENIGMA-焦虑GAD工作组的大数据集 (3,511个对照,1,595个GAD,4,552个HC).
- 采用一个卷积神经网络模型,用于大脑年龄预测的四种输入方式.
- 通过从预测的大脑年龄中减去时间年龄来计算PAD.
主要成果:
- 在训练和HC测试套件中,模型性能显示一致的准确性 (MAE ≈ 2.95年).
- 在患有GAD的个体中没有发现加速大脑衰老的证据.
- 患有GAD的个体在PAD (Levene测试:W = 442.98,p < .001) 中表现出显著更大的变化,特别是25岁以上的个体.
结论:
- 该研究没有发现GAD和加速大脑衰老 (PAD) 之间的显著关联.
- GAD与大脑预测年龄的异质性增加有关,这表明GAD群体内的老化轨迹多样化.
- 在患有GAD的个体中,没有观察到PAD和临床或人口因素之间的相关性.
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