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阿尔茨海默氏症成像联盟

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概括
此摘要是机器生成的。

粉样阴性轻度认知障碍 (aMCI) 的认知衰退是由基线认知和大脑缩预测的. 这些发现有助于识别特定的病理,并为LATE提供新的临床标准.

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科学领域:

  • 神经学 神经学
  • 生物标志物 生物标志物
  • 神经退行发生神经退行.

背景情况:

  • 显著的一部分无记忆性轻度认知障碍 (aMCI) 患者缺乏粉样蛋白-β (Aβ) 生物标志物,这表明除了阿尔茨海默病 (AD) 之外的认知衰退的其他原因.
  • 在Aβ阴性 (Aβ-) aMCI中潜在的潜在病理包括边缘主导的与年龄相关的TDP-43脑病变 (LATE),脑血管疾病和初级与年龄相关的病变 (PART).
  • 在Aβ-aMCI中认知衰退的长期预后和预测因素仍然不清楚.

研究的目的:

  • 在Aβ-aMCI患者中确定认知衰退和发展为痴呆症的预测因素.
  • 调查人口因素,基线认知评估,流体生物标志物和神经成像在预测Aβ-aMCI结果中的实用性.
  • 开发Aβ-aMCI认知衰退的预测模型,潜在地告知差异诊断和临床试验分层.

主要方法:

  • 分析了140名Aβ-aMCI患者的纵向数据,包括迷你精神状态检查 (MMSE) 和临床痴呆症评分总和 (CDR-SB) 评分.
  • 预测因素包括全球和区域大脑缩 (例如皮层厚度,杏仁体体积),脑脊液 (CSF) Aβ42/40,p-tau181,高血压和白质超强度.
  • 线性混合效应模型和使用Akaike信息标准 (AIC) 的模型选择被用于确定认知衰退和痴呆症进展的显著预测因素.

主要成果:

  • 对于MMSE下降,最节制的模型包括基线MMSE和全脑皮层厚度.
  • 对于CDR-SB下降,预测因素是基线CDR-SB,杏仁体体积和中额头环皮层厚度.
  • 进展到痴呆的最佳预测是MMSE,侧腔室体积,脑内皮层和全脑皮层厚度,性别和CSF Aβ42/40.

结论:

  • 基线认知状态和全球和区域大脑缩的测量是Aβ-aMCI认知衰退的显著预测因素.
  • 区域性脑缩模式可能表明特定的潜在病理,有助于认知障碍的差异诊断.
  • 开发的预测模型与LATE的新临床标准保持一致,并保证在ADNI等更大的队列中进行验证.