What Drives Task Performance in Animal Fluency in Individuals Without Dementia? The SMART-MR Study.
Purpose: In this study, we aim to understand whether and how performance in animal fluency (i.e., total correct word count) relates to linguistic levels and/or executive functions by looking at sequence information and item-level metrics (i.e., clusters, switches, and word properties). Method: Seven...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 66; no. 9; pp. 3473 - 3486 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
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American Speech-Language-Hearing Association
Sep2023
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=171950385&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 171950385 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Sep2023 vid: 66 iid: 9 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 171950385 10.1044/2023_JSLHR-22-00445 ppf: 3473 ppct: 13 formats: fmt: @attributes: type: P size: 797KB tig: atl: What Drives Task Performance in Animal Fluency in Individuals Without Dementia? The SMART-MR Study. aug: au: Rofes, Adrià Beran, Magdalena Jonkers, Roel Geerlings, Mirjam I. Vonk, Jet M. J. affil: Center for Language and Cognition Groningen (CLCG), University of Groningen, the Netherlands Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, the Netherlands Department of General Practice, Amsterdam UMC, Location University of Amsterdam, the Netherlands Aging & Later life, and Personalized Medicine, Amsterdam Public Health, Amsterdam UMC, the Netherlands Neurodegeneration, and Mood, Anxiety, Psychosis, Stress, and Sleep, Amsterdam Neuroscience, Amsterdam UMC, the Netherlands Memory and Aging Center, Department of Neurology, University of California San Francisco su: Netherlands Executive function Linguistics Cross-sectional method Task performance Random forest algorithms Regression analysis Descriptive statistics Data analysis software Secondary analysis sug: subj: Executive function Linguistics Cross-sectional method Task performance Netherlands Random forest algorithms Regression analysis Descriptive statistics Data analysis software Secondary analysis ab: Purpose: In this study, we aim to understand whether and how performance in animal fluency (i.e., total correct word count) relates to linguistic levels and/or executive functions by looking at sequence information and item-level metrics (i.e., clusters, switches, and word properties). Method: Seven hundred thirty-one Dutch-speaking individuals without dementia from the Second Manifestations of ARTerial disease-Magnetic Resonance study responded to an animal fluency task (120 s). We obtained cluster size and number of switches for the task, and eight different word properties for each correct word produced. We detected variables that determine total word count with random forests, and used conditional inference trees to assess points along the scales of such variables, at which total word count changes significantly. Results: Number of switches, average cluster size, lexical decision response times, word frequency, and concreteness determined total correct word count in animal fluency. People who produced more correct words produced more switches and bigger clusters. People who produced fewer words produced fewer switches and more frequent words. Conclusions: Concurrent with existing literature, individuals without dementia rely on language and executive functioning to produce words in animal fluency. The novelty of our work is that such results were shown based on a data-driven approach using sequence information and item-level metrics. Supplemental Material: https://doi.org/10.23641/asha.23713269 pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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