Rezaii Neguine, Ren Boyu, Quimby Megan, Hochberg Daisy, Dickerson Bradford C
Frontotemporal Disorders Unit, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA.
Department of Psychiatry, Laboratory for Psychiatric Biostatistics, McLean Hospital, Belmont, MA 02478, USA.
Brain Commun. 2023 Apr 25;5(3):fcad136. doi: 10.1093/braincomms/fcad136. eCollection 2023.
Agrammatism is a disorder of language production characterized by short, simplified sentences, the omission of function words, an increased use of nouns over verbs and a higher use of heavy verbs. Despite observing these phenomena for decades, the accounts of agrammatism have not converged. Here, we propose and test the hypothesis that the lexical profile of agrammatism results from a process that opts for words with a lower frequency of occurrence to increase lexical information. Furthermore, we hypothesize that this process is a compensatory response to patients' core deficit in producing long, complex sentences. In this cross-sectional study, we analysed speech samples of patients with primary progressive aphasia ( = 100) and healthy speakers ( = 65) as they described a picture. The patient cohort included 34 individuals with the non-fluent variant, 41 with the logopenic variant and 25 with the semantic variant of primary progressive aphasia. We first analysed a large corpus of spoken language and found that the word types preferred by patients with agrammatism tend to have lower frequencies of occurrence than less preferred words. We then conducted a computational simulation to examine the impact of word frequency on lexical information as measured by entropy. We found that strings of words that exclude highly frequent words have a more uniform word distribution, thereby increasing lexical entropy. To test whether the lexical profile of agrammatism results from their inability to produce long sentences, we asked healthy speakers to produce short sentences during the picture description task. We found that, under this constrained condition, a similar lexical profile of agrammatism emerged in the short sentences of healthy individuals, including fewer function words, more nouns than verbs and more heavy verbs than light verbs. This lexical profile of short sentences resulted in their lower average word frequency than unconstrained sentences. We extended this finding by showing that, in general, shorter sentences get packaged with lower-frequency words as a basic property of efficient language production, evident in the language of healthy speakers and all primary progressive aphasia variants.
语法缺失是一种语言生成障碍,其特征为句子简短、简化,功能词省略,名词使用频率高于动词,重动词使用频率更高。尽管对这些现象的观察已有数十年,但对语法缺失的解释尚未达成共识。在此,我们提出并检验如下假设:语法缺失的词汇特征源于一个选择出现频率较低的词汇以增加词汇信息的过程。此外,我们假设这一过程是对患者在生成长而复杂句子时的核心缺陷的一种补偿反应。在这项横断面研究中,我们分析了原发性进行性失语患者(n = 100)和健康说话者(n = 65)在描述一幅图片时的言语样本。患者队列包括34名非流利型原发性进行性失语患者、41名语音性原发性进行性失语患者和25名语义性原发性进行性失语患者。我们首先分析了一个大型口语语料库,发现语法缺失患者偏好的词类出现频率往往低于不太偏好的词。然后,我们进行了一项计算模拟,以检验词频对以熵衡量的词汇信息的影响。我们发现,排除高频词的词串具有更均匀的词分布,从而增加了词汇熵。为了检验语法缺失的词汇特征是否源于他们无法生成长句子,我们要求健康说话者在图片描述任务中生成短句子。我们发现,在这种受限条件下,健康个体的短句子中出现了类似语法缺失的词汇特征,包括功能词较少、名词多于动词以及重动词多于轻动词。这种短句子的词汇特征导致其平均词频低于不受限句子。我们通过表明一般来说,较短的句子会与低频词组合在一起,这是高效语言生成的一个基本属性,在健康说话者的语言以及所有原发性进行性失语变体中都很明显,从而扩展了这一发现。