The role of language ability in verbal fluency of individuals with multiple sclerosis

Lebkuecher, Amy L.; Chiaravalloti, Nancy D.; Strober, Lauren B.

doi:10.1016/j.msard.2021.102846

Cited by 18 publications

(24 citation statements)

References 42 publications

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“…In addition to letter-guided, category-guided fluency (sometimes referred to as semantic fluency) is an alternative fluency task where participants are asked to produce words that belong to a certain semantic category (e.g., animals or tools). In clinical settings, the fluency score has been shown to be sensitive to diverse types of neurodegenerative disease, psychosis, and many other neurological conditions ( Elvevåg et al, 2002 ; Forbes-Mckay et al, 2005 ; Rascovsky et al, 2007 ; Libon et al, 2009 ; Juhasz et al, 2012 ; Cook et al, 2014 ; Van Den Berg et al, 2017 ; Lebkuecher et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Automated Analysis of Digitized Letter Fluency Data

et al. 2021

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The letter-guided naming fluency task is a measure of an individual’s executive function and working memory. This study employed a novel, automated, quantifiable, and reproducible method to investigate how language characteristics of words produced during a fluency task are related to fluency performance, inter-word response time (RT), and over task duration using digitized F-letter-guided fluency recordings produced by 76 young healthy participants. Our automated algorithm counted the number of correct responses from the transcripts of the F-letter fluency data, and individual words were rated for concreteness, ambiguity, frequency, familiarity, and age of acquisition (AoA). Using a forced aligner, the transcripts were automatically aligned with the corresponding audio recordings. We measured inter-word RT, word duration, and word start time from the forced alignments. Articulation rate was also computed. Phonetic and semantic distances between two consecutive F-letter words were measured. We found that total F-letter score was significantly correlated with the mean values of word frequency, familiarity, AoA, word duration, phonetic similarity, and articulation rate; total score was also correlated with an individual’s standard deviation of AoA, familiarity, and phonetic similarity. RT was negatively correlated with frequency and ambiguity of F-letter words and was positively correlated with AoA, number of phonemes, and phonetic and semantic distances. Lastly, the frequency, ambiguity, AoA, number of phonemes, and semantic distance of words produced significantly changed over time during the task. The method employed in this paper demonstrates the successful implementation of our automated language processing pipelines in a standardized neuropsychological task. This novel approach captures subtle and rich language characteristics during test performance that enhance informativeness and cannot be extracted manually without massive effort. This work will serve as the reference for letter-guided category fluency production similarly acquired in neurodegenerative patients.

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Section: Introductionmentioning

confidence: 99%

Automated Analysis of Digitized Letter Fluency Data

et al. 2021

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“…In MS, language has been poorly studied, and while some researches have shown largely preserved linguistic functionality, 7 more recent studies have reported speech disturbances in 20% of relapsing-remitting pMS (RRMS) and in 58% of secondary-progressive pMS (SPMS). 43 Some researchers argue that pMS experience subtle language deficits not easily detectable, 44 such as the difficulty in finding words. 45 Indeed, several papers suggest that individuals with MS show deficits in pragmatics 46 and in morphosyntactic production.…”

Section: Languagementioning

confidence: 99%

“…These results suggest that VF deficits in pMS are the consequence of a reduction in both language skills and IPS. 44 In MS, aphasia is a very rare clinical manifestation, with a percentage ranging from 0.7 to 3%. 52 Among the various forms of aphasia, Broca's aphasia appears to be the most frequent in pMS, followed by mixed transcortical aphasia.…”

Section: Languagementioning

confidence: 99%

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Cognitive impairment in multiple sclerosis: “classic” knowledge and recent acquisitions

2023

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Multiple sclerosis (MS) is a central nervous system (CNS) disease characterized by inflammation, axonal demyelination, and neurodegeneration, which can have a strong impact on all aspects of the life of the patient. Multiple sclerosis causes motor, sensory, cerebellar, and autonomic dysfunctions, as well as cognitive and psychoemotional impairment. The most frequently compromised cognitive domains are complex attention/information processing, memory, executive and visuospatial functions. Recently, alterations have also been evidenced in complex cognitive functions, such as social cognition, moral judgment, and decision-making. Cognitive impairment is characterized by high variability and can affect work skills, social interactions, coping strategies and more generally the quality of life of patients and their families. With the use of sensitive and easy-to-administer test batteries, an increasingly accurate and early diagnosis is feasible: this allows to determine the effectiveness of possible preventive measures, to predict the future progression of the disease and to improve the quality of life of patients. There is currently limited evidence regarding the efficacy, on cognitive impairment, of disease-modifying therapies. The most promising approach, which has received strong empirical support, is cognitive rehabilitation.

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“…jazykového oslabení (např. Shamsian et al, 2019;Soltani, Rahimifar, 2020;Lebkuecher, Chiaravalloti, Strober, 2021). V rámci lexikálně-sémantické roviny jsou udávány četnější sémantické chyby oproti fonemickým (např.…”

Section: Jazykové Deficityunclassified

Speech/Language Comprehension in the Context of Language Difficulties in Persons with Neurocognitive Disorders

Nohová¹,

Vitásková²

2022

LKL

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The role of language ability in verbal fluency of individuals with multiple sclerosis

Cited by 18 publications

References 42 publications

Automated Analysis of Digitized Letter Fluency Data

Automated Analysis of Digitized Letter Fluency Data

Cognitive impairment in multiple sclerosis: “classic” knowledge and recent acquisitions

Speech/Language Comprehension in the Context of Language Difficulties in Persons with Neurocognitive Disorders

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