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语义存储损失评分:一种用于测量因神经退行性疾病导致的颞叶损伤而导致个体语义存储损失程度的算法。

The semantic storage loss score: An Algorithm for measuring an individual's level of semantic storage loss due to temporal lobe damage in neurodegenerative disease.

机构信息

Lady Davis Institute for Medical Research, Jewish General Hospital, McGill University, Montréal, Québec, Canada.

Baycrest Health Sciences, Rotman Research Institute, Toronto, Ontario, Canada.

出版信息

PLoS One. 2020 Aug 18;15(8):e0235810. doi: 10.1371/journal.pone.0235810. eCollection 2020.

Abstract

Anomia is common in Primary Progressive Aphasia (PPA), and there is considerable evidence that semantic problems (as opposed to impaired access to output word phonology) exist in many PPA individuals irrespective of their strict subtype, including a loss of representations from semantic memory, which is typical for people with the semantic variant of PPA. In this manuscript we present a straightforward novel clinical algorithm that quantifies this degree of semantic storage impairment. We sought to produce an algorithm by employing tasks that would measure key elements of semantic storage loss: a) whether an unrecalled name could be retrieved with cues; b) if performance for items was consistent across tasks; and c) the degree to which a participant's performance was related to general severity of cognitive impairment rather than semantic loss. More specifically, these tasks were given to 28 individuals with PPA (12 participants had a clinical diagnosis of atypical Alzheimer's Disease with the logopenic variant of PPA; the remaining 16 participants received a clinical diagnosis of Frontotemporal dementia (11 were classified as the non-fluent variant of PPA and five were the semantic variant of PPA). Scores from these tasks produced a single omnibus semantic memory storage loss score (SSL score) for each person that ranged from 0.0 to 1.0, with scores closer to 0 more indicative of semantic storage loss. Indeed, supporting the hypothesis that our scores measure the degree of semantic storage loss, we found participants with the semantic variant of PPA had the lowest scores, and SSL scores could predict the degree of hypometabolism in the anterior temporal lobe; even when only people with the logopenic variant of PPA were examined. Thus, these scores show promise quantitating the degree of a person's semantic representation loss.

摘要

失名症在原发性进行性失语症(PPA)中很常见,有大量证据表明,许多 PPA 患者存在语义问题(与输出单词语音障碍无关),而不论其严格亚型如何,包括语义记忆中的表示丧失,这是语义变异型 PPA 患者的典型特征。在本文中,我们提出了一种简单的新临床算法,可量化这种语义存储损伤程度。我们试图通过使用测量语义存储丢失关键要素的任务来产生算法:a)是否可以通过提示检索未回忆的名称;b)如果在各个任务中,表现是否一致;c)参与者的表现与一般认知障碍的严重程度而不是语义丧失的相关性程度。更具体地说,这些任务是为 28 名患有 PPA 的患者进行的(12 名患者患有典型阿尔茨海默病的临床诊断,伴有语言流畅性变异型 PPA;其余 16 名患者患有额颞叶痴呆的临床诊断(11 名被归类为非流利变异型 PPA,5 名被归类为语义变异型 PPA)。这些任务的分数为每个人产生了一个单一的总体语义记忆存储丢失分数(SSL 分数),范围从 0.0 到 1.0,分数越接近 0,表明语义存储丢失越严重。实际上,支持我们的分数衡量语义存储丢失程度的假设,我们发现语义变异型 PPA 的患者得分最低,SSL 分数可以预测前颞叶代谢低下的程度;即使只检查了语言流畅性变异型 PPA 的患者也是如此。因此,这些分数有望定量衡量一个人语义表示丢失的程度。

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