Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/44755
Title: A systematic review of the quantitative markers of speech and language of the frontotemporal degeneration spectrum and their potential for cross-linguistic implementation
Authors: Coppieters, Rosie
Bouzigues, Arabella
Jiskoot, Lize
Montembeault, Maxime
Tee, Boon Lead
Rohrer, Jonathan D.
BRUFFAERTS, Rose 
Issue Date: 2024
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Source: Neuroscience and biobehavioral reviews, 167 (Art N° 105909)
Abstract: Frontotemporal dementia (FTD) is a neurodegenerative disease spectrum with an urgent need for reliable biomarkers for early diagnosis and monitoring. Speech and language changes occur in the early stages of FTD and offer a potential non-invasive, early, and accessible diagnostic tool. The use of speech and language markers in this disease spectrum is limited by the fact that most studies investigate English-speaking patients. This systematic review examines the literature on psychoacoustic and linguistic features of speech that occur across the FTD spectrum across as many different languages as possible. 76 papers were identified that investigate psychoacoustic and linguistic markers in discursive speech. 75 % of these papers studied English-speaking patients. The most generalizable features found across different languages, are speech rate, articulation rate, pause frequency, total pause duration, noun-verb ratio, and total number of nouns. While there are clear interlinguistic differences across patient groups, the results show promise for implementation of cross-linguistic markers of speech and language across the FTD spectrum particularly for psychoacoustic features.
Keywords: FTD;PPA;PSP;CBS;ALS-FTD;Biomarkers;Speech;Language
Document URI: http://hdl.handle.net/1942/44755
ISSN: 0149-7634
e-ISSN: 1873-7528
DOI: 10.1016/j.neubiorev.2024.105909
ISI #: 001338825800001
Rights: 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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