在患者中开发和验证基于非语言共识的语义记忆范式
Edwina B Tran1,2, Jet M J Vonk1,3, Kaitlin Casaletto1,3
1Department of Neurology, University of California, San Francisco, CA, USA.
概括
患有 (PWE) 的患者表现出非语言语义记忆障碍. 一个新的基于视觉的语义关联任务 (ViSAT) 有效地评估这些缺陷,提供可重复和开源的临床工具.
科学领域:
- 神经心理学 神经心理学
- 认知神经科学 认知神经科学
- 的研究研究.
背景情况:
- 语义记忆对于理解至关重要,在患者中,大脑损伤可能会受到影响 (PWE).
- 目前的评估很难将语义缺陷与其他语言处理问题分开.
- 在PWE中,非语言语义处理仍未得到充分探索.
研究的目的:
- 引入和验证基于视觉的语义关联任务 (ViSAT),用于评估PWE中的非语言语义处理.
- 在PWE中区分语义记忆障碍与其他认知功能.
- 为临床和研究环境提供一种新的,可靠的工具.
主要方法:
- 根据既有测试 (PPT,CCT) 改编的ViSAT使用了100个独特的现实生活图片试验.
- 从23个PWE,24个对照和54个亚马逊机械土耳其 (Mturk) 参与者收集的数据.
- 深度学习模型分析了刺激特征和响应模式.
主要成果:
- 在91.3%的试验中,ViSAT获得了>90%的共识,超过了PPT和CCT.
- 视觉特征 (颜色,形状) 并没有影响ViSAT结果 (p=0.577).
- 与对照组相比,PWE的准确性明显较低 (p=0.019),响应时间较长 (p<0.001).
结论:
- ViSAT有效地识别了PWE的非语言语义记忆缺陷,可能与发作区域有关.
- ViSAT是一个可重复的,避免混的,开源工具,用于评估非语言语义记忆.
- 在患者群体中,ViSAT为临床和研究评估提供了有价值的替代方案.
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