Molgora Sara , Corbetta Daniela , Di Tella Sonia , Raynaud Savina , Silveri Maria Caterina
{"title":"不同类型失语症的语言特征:利用T-LAB进行计算机辅助定性分析","authors":"Molgora Sara , Corbetta Daniela , Di Tella Sonia , Raynaud Savina , Silveri Maria Caterina","doi":"10.1016/j.jneuroling.2021.101056","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Aphasic disorders are observed in patients<span> with both vascular and neurodegenerative pathology. Although spontaneous speech in the various forms of aphasia has some features that are identifiable on a purely linguistic level, diagnosing the type of aphasia critically relies on the support of clinical and neuroimaging data.</span></p></div><div><h3>Objective</h3><p>To identify some core characteristics of different types of fluent aphasias (i.e., disorders of speech production due to lesions in the posterior regions of the left perisylvian areas not associated with articulatory deficits or apraxia of speech) in spontaneous speech using T-LAB computer-assisted qualitative analyses. This is a mixed-method software that allows exploring narratives by highlighting their key features using linguistic, statistical and graphical tools.</p></div><div><h3>Methods</h3><p>We collected samples of spontaneous speech (narratives) from 34 fluent aphasic Italian speakers (i.e.,11 post-stroke aphasic patients, 17 with the logopenic variant of Primary Progressive Aphasia and 6 with the semantic variant) during the description of the Cookie Theft Picture of the Boston Diagnostic Aphasia Examination. Thirty-four healthy control subjects were asked to complete the same task. Analyses of the entire corpus (all of the narratives), specific metadata introduction and tagging were performed by two raters and any conflicts were resolved by a third rater.</p></div><div><h3>Results</h3><p>T-LAB analysis revealed statistically significant differences between both aphasic patients and healthy controls and between vascular and degenerative patients. Although the main distinction emerged between post-stroke and neurodegenerative aphasias, important differences also emerged between the individuals with the logopenic variant and the semantic variant.</p></div><div><h3>Discussion</h3><p>These findings underline the potential usefulness of a computer-assisted analysis of speech production to identify the core linguistic characteristics of different aphasic disorders, independently of any clinical support.</p></div>","PeriodicalId":50118,"journal":{"name":"Journal of Neurolinguistics","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Linguistic characteristics of different types of aphasia: A computer-assisted qualitative analysis using T-LAB\",\"authors\":\"Molgora Sara , Corbetta Daniela , Di Tella Sonia , Raynaud Savina , Silveri Maria Caterina\",\"doi\":\"10.1016/j.jneuroling.2021.101056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Aphasic disorders are observed in patients<span> with both vascular and neurodegenerative pathology. Although spontaneous speech in the various forms of aphasia has some features that are identifiable on a purely linguistic level, diagnosing the type of aphasia critically relies on the support of clinical and neuroimaging data.</span></p></div><div><h3>Objective</h3><p>To identify some core characteristics of different types of fluent aphasias (i.e., disorders of speech production due to lesions in the posterior regions of the left perisylvian areas not associated with articulatory deficits or apraxia of speech) in spontaneous speech using T-LAB computer-assisted qualitative analyses. This is a mixed-method software that allows exploring narratives by highlighting their key features using linguistic, statistical and graphical tools.</p></div><div><h3>Methods</h3><p>We collected samples of spontaneous speech (narratives) from 34 fluent aphasic Italian speakers (i.e.,11 post-stroke aphasic patients, 17 with the logopenic variant of Primary Progressive Aphasia and 6 with the semantic variant) during the description of the Cookie Theft Picture of the Boston Diagnostic Aphasia Examination. Thirty-four healthy control subjects were asked to complete the same task. Analyses of the entire corpus (all of the narratives), specific metadata introduction and tagging were performed by two raters and any conflicts were resolved by a third rater.</p></div><div><h3>Results</h3><p>T-LAB analysis revealed statistically significant differences between both aphasic patients and healthy controls and between vascular and degenerative patients. Although the main distinction emerged between post-stroke and neurodegenerative aphasias, important differences also emerged between the individuals with the logopenic variant and the semantic variant.</p></div><div><h3>Discussion</h3><p>These findings underline the potential usefulness of a computer-assisted analysis of speech production to identify the core linguistic characteristics of different aphasic disorders, independently of any clinical support.</p></div>\",\"PeriodicalId\":50118,\"journal\":{\"name\":\"Journal of Neurolinguistics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Neurolinguistics\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0911604421000725\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Neurolinguistics","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0911604421000725","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"LINGUISTICS","Score":null,"Total":0}
Linguistic characteristics of different types of aphasia: A computer-assisted qualitative analysis using T-LAB
Background
Aphasic disorders are observed in patients with both vascular and neurodegenerative pathology. Although spontaneous speech in the various forms of aphasia has some features that are identifiable on a purely linguistic level, diagnosing the type of aphasia critically relies on the support of clinical and neuroimaging data.
Objective
To identify some core characteristics of different types of fluent aphasias (i.e., disorders of speech production due to lesions in the posterior regions of the left perisylvian areas not associated with articulatory deficits or apraxia of speech) in spontaneous speech using T-LAB computer-assisted qualitative analyses. This is a mixed-method software that allows exploring narratives by highlighting their key features using linguistic, statistical and graphical tools.
Methods
We collected samples of spontaneous speech (narratives) from 34 fluent aphasic Italian speakers (i.e.,11 post-stroke aphasic patients, 17 with the logopenic variant of Primary Progressive Aphasia and 6 with the semantic variant) during the description of the Cookie Theft Picture of the Boston Diagnostic Aphasia Examination. Thirty-four healthy control subjects were asked to complete the same task. Analyses of the entire corpus (all of the narratives), specific metadata introduction and tagging were performed by two raters and any conflicts were resolved by a third rater.
Results
T-LAB analysis revealed statistically significant differences between both aphasic patients and healthy controls and between vascular and degenerative patients. Although the main distinction emerged between post-stroke and neurodegenerative aphasias, important differences also emerged between the individuals with the logopenic variant and the semantic variant.
Discussion
These findings underline the potential usefulness of a computer-assisted analysis of speech production to identify the core linguistic characteristics of different aphasic disorders, independently of any clinical support.
期刊介绍:
The Journal of Neurolinguistics is an international forum for the integration of the neurosciences and language sciences. JNL provides for rapid publication of novel, peer-reviewed research into the interaction between language, communication and brain processes. The focus is on rigorous studies of an empirical or theoretical nature and which make an original contribution to our knowledge about the involvement of the nervous system in communication and its breakdowns. Contributions from neurology, communication disorders, linguistics, neuropsychology and cognitive science in general are welcome. Published articles will typically address issues relating some aspect of language or speech function to its neurological substrates with clear theoretical import. Interdisciplinary work on any aspect of the biological foundations of language and its disorders resulting from brain damage is encouraged. Studies of normal subjects, with clear reference to brain functions, are appropriate. Group-studies on well defined samples and case studies with well documented lesion or nervous system dysfunction are acceptable. The journal is open to empirical reports and review articles. Special issues on aspects of the relation between language and the structure and function of the nervous system are also welcome.