大脑结构特征与自闭症谱系障碍高风险儿童情绪调节能力之间的相关性
Ning Ding1,2, Linyan Fu1, Lu Qian1
1Child Mental Health Research Center, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
European child & adolescent psychiatry
|February 24, 2024
概括
患有自闭症谱系障碍 (HR-ASD) 的高风险儿童表现出与白质连接相关的情绪调节困难. 机器学习确定了特定的大脑结构的相关性,为早期干预提供了潜在的生物标志物.
科学领域:
- 神经科学是一个神经科学.
- 发展心理学 发展心理学
- 医疗成像医学成像
背景情况:
- 自闭症谱系障碍 (ASD) 通常与情绪失调有关,这种情绪失调会随着年龄的增长而恶化.
- 早期识别和干预对于改善患有自闭症高风险儿童 (HR-ASD) 的结果至关重要.
- 了解HR-ASD儿童情绪调节的神经基础对于开发有针对性的疗法至关重要.
研究的目的:
- 调查白质 (WM) 特性,WM纤维捆连接和HR-ASD儿童情绪调节能力之间的关系.
- 利用机器学习 (ML) 识别潜在的神经生物标志物,用于这群人的情绪调节.
- 为自闭症早期临床干预策略建立经验基础.
主要方法:
- 招募了55名HR-ASD儿童和52名典型发育 (TD) 的儿童.
- 获得的3D-T1结构和扩散张力成像 (DTI) 数据.
- 使用静态面部范式 (SFP) 评估情绪调节,并应用ML模型来分析WM和连接数据与情绪调节措施对比.
主要成果:
- 右桃体和右海马体积与建设性情绪调节策略相关 (R2=0.245,R2=0.197).
- 分数异构 (FA) 和平均扩散性 (MD) 预测了自我刺激行为 (R2=0.32,R2=0.34).
- WM光纤捆绑连接预测了建设性调节策略和寻找母亲的行为 (R2值在0.333到0.667之间).
结论:
- 在HR-ASD儿童中,情绪调节与多个白质纤维捆的连接有显著的关联.
- 特定的WM结构和连接指标显示了情绪和行为调节的不同方面的预测能力.
- 这些发现表明,WM连接模式可能作为评估HR-ASD儿童情绪调节能力的潜在神经生物标志物,支持早期干预努力.
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