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Research Article

Role of pause duration in primary progressive aphasia

ORCID Icon, ORCID Icon, , ORCID Icon & ORCID Icon
Received 13 Feb 2024, Accepted 06 Jun 2024, Published online: 21 Jun 2024

References

  • American Speech-Language-Hearing Association. (1993). Definitions of communication disorders and variations. ASHA.
  • Angelopoulou, G., Kasselimis, D., Makrydakis, G., Varkanitsa, M., Roussos, P., Goutsos, D., Evdokimidis, I., & Potagas, C. (2018). Silent pauses in aphasia. Neuropsychologia, 114, 41–49. https://doi.org/10.1016/j.neuropsychologia.2018.04.006
  • Baken, R. J., & Orlikoff, R. F. (2000). Clinical measurement of speech and voice. Cengage Learning.
  • Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1). https://doi.org/10.18637/jss.v067.i01
  • Beeke, S., Wilkinson, R., & Maxim, J. (2003). Exploring aphasic grammar 1: A single case analysis of conversation. Clinical Linguistics & Phonetics, 17(2), 81–107. https://doi.org/10.1080/0269920031000061795
  • Benaglia, T., Chauveau, D., Hunter, D. R., & Young, D. (2009). Mixtools: An R package for analyzing finite mixture models. Journal of Statistical Software, 32(6), 1–29. https://doi.org/10.18637/jss.v032.i06
  • Bergeron, D., Gorno-Tempini, M. L., Rabinovici, G. D., Santos-Santos, M. A., Seeley, W., Miller, B. L., Pijnenburg, Y., Keulen, M. A., Groot, C., van Berckel, B. N. M., van der Flier, W. M., Scheltens, P., Rohrer, J. D., Warren, J. D., Schott, J. M., Fox, N. C., Sanchez-Valle, R., Grau-Rivera, O., Gelpi, E. & Ossenkoppele, R. (2018). Prevalence of amyloid-β pathology in distinct variants of primary progressive aphasia. Annals of Neurology, 84(5), 729–740. https://doi.org/10.1002/ana.25333
  • Bliese, P. D. (2000). Within-group agreement, non-independence, and reliability: Implications for data aggregation and analysis. In K. J. Klein & S. W. J. Kozlowski (Eds.), Multilevel theory, research, and methods in organizations: Foundations, extensions, and new directions (pp. 349–381). Jossey-Bass/Wiley.
  • Boschi, V., Catricalà, E., Consonni, M., Chesi, C., Moro, A., & Cappa, S. F. (2017). Connected speech in neurodegenerative language disorders: A review. Frontiers in Psychology, 8. https://doi.org/10.3389/fpsyg.2017.00269
  • Bosker, R., & Snijders, T. A. (2011). Multilevel analysis: an introduction to basic and advanced multilevel modeling (2nd ed.). Sage Publications.
  • Campione, E., & Véronis, J. (2002). A large-scale multilingual study of silent pause duration. Speech Prosody 2002, International Conference, Aix-en-Provence, France.
  • Cruice, M., Worrall, L., Hickson, L., & Murison, R. (2003). Finding a focus for quality of life with aphasia: Social and emotional health, and psychological well-being. Aphasiology, 17(4), 333–353. https://doi.org/10.1080/02687030244000707
  • Cucchiarini, C., Strik, H., & Boves, L. (2002). Quantitative assessment of second language learners’ fluency: Comparisons between read and spontaneous speech. The Journal of the Acoustical Society of America, 111(6), 2862–2873. https://doi.org/10.1121/1.1471894
  • De Jong, N. H., & Bosker, H. R. (2013). Choosing a threshold for silent pauses to measure second language fluency. The 6th Workshop on Disfluency in Spontaneous Speech (DiSS), KTH Royal Institute of Technology; Stockholm, Sweden (pp. 17–20).
  • Drugman, T., Stylianou, Y., Kida, Y., & Akamine, M. (2015). Voice activity detection: Merging source and filter-based information. IEEE Signal Processing Letters, 23(2), 252–256. https://doi.org/10.1109/LSP.2015.2495219
  • Dubois, B., Slachevsky, A., Litvan, I., & Pillon, B. F. A. B. (2000). The FAB: A frontal assessment battery at bedside. Neurology, 55(11), 1621–1626. https://doi.org/10.1212/WNL.55.11.1621
  • Ephratt, M. (2008). The functions of silence. Journal of Pragmatics, 40(11), 1909–1938. https://doi.org/10.1016/j.pragma.2008.03.009
  • Europa, E., Iaccarino, L., Perry, D. C., Weis, E., Welch, A. E., Rabinovici, G. D., Miller, B. L., Gorno-Tempini, M. L., & Henry, M. L. (2020). Diagnostic assessment in primary progressive aphasia: An illustrative case example. American Journal of Speech-Language Pathology, 29(4), 1833–1849. https://doi.org/10.1044/2020_AJSLP-20-00007
  • Faroqi-Shah, Y., Treanor, A., Ratner, N. B., Ficek, B., Webster, K., & Tsapkini, K. (2020). Using narratives in differential diagnosis of neurodegenerative syndromes. Journal of Communication Disorders, 85, 105994. https://doi.org/10.1016/j.jcomdis.2020.105994
  • Ferré, G. (2021). Gesture, prosody and verbal content in non-fluent aphasic speech. Multimodal Communication, 10(1), 73–91. https://doi.org/10.1515/mc-2020-0016
  • Frank, S. A. (2009). The common patterns of nature. Journal of Evolutionary Biology, 22(8), 1563–1585. https://doi.org/10.1111/j.1420-9101.2009.01775.x
  • Fraser, K., Meltzer, J., Graham, N., Leonard, C., Hirst, G., Black, S., & Rochon, E. (2014). Automated classification of primary progressive aphasia subtypes from narrative speech transcripts. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior, 55, 43–60. https://doi.org/10.1016/j.cortex.2012.12.006
  • Fraser, K., Rudzicz, F., & Rochon, E. (2013). Using text and acoustic features to diagnose progressive aphasia and its subtypes, Interspeech Lyon, France (pp. 2177–2181).
  • Fyndanis, V., Lind, M., Varlokosta, S., Kambanaros, M., Soroli, E., Ceder, K., Grohmann, K. K., Rofes, A., Simonsen, H. G., Bjekić, J., Gavarró, A., Kuvač Kraljević, J., Martínez-Ferreiro, S., Munarriz, A., Pourquie, M., Vuksanović, J., Zakariás, L., & Howard, D. (2017). Cross-linguistic adaptations of the comprehensive aphasia test: Challenges and solutions. Clinical Linguistics & Phonetics, 31(7–9), 697–710. https://doi.org/10.1080/02699206.2017.1310299
  • Geraudie, A., Battista, P., García, A. M., Allen, I. E., Miller, Z. A., Gorno-Tempini, M. L., & Montembeault, M. (2021). Speech and language impairments in behavioral variant frontotemporal dementia: A systematic review. Neuroscience & Biobehavioral Reviews, 131, 1076–1095. https://doi.org/10.1016/j.neubiorev.2021.10.015
  • Goldman-Eisler, F. (1968). Psycholinguistics: Experiments in spontaneous speech. Academic Press.
  • Goodglass, H., Kaplan, E., & Weintraub, S. (2001). BDAE: The Boston diagnostic aphasia examination. Lippincott Williams & Wilkins.
  • Gorno-Tempini, M. L., Hillis, A. E., Weintraub, S., Kertesz, A., Mendez, M., Cappa, S. F., Ogar, J. M., Rohrer, J. D., Black, S., Boeve, B. F., Manes, F., Dronkers, N. F., Vandenberghe, R., Rascovsky, K., Patterson, K., Miller, B. L., Knopman, D. S., Hodges, J. R., Mesulam, M. M., & Grossman, M. (2011). Classification of primary progressive aphasia and its variants. Neurology, 76(11), 1006–1014. https://doi.org/10.1212/WNL.0b013e31821103e6
  • Haider, F., De La Fuente, S., & Luz, S. (2020). An assessment of paralinguistic acoustic features for detection of Alzheimer’s dementia in spontaneous speech. IEEE Journal of Selected Topics in Signal Processing, 14(2), 272–281. https://doi.org/10.1109/JSTSP.2019.2955022
  • Holmes, R. J., Oates, J. M., Phyland, D. J., & Hughes, A. J. (2000). Voice characteristics in the progression of Parkinson’s disease. International Journal of Language & Communication Disorders, 35(3), 407–18. https://doi.org/10.1080/136828200410654
  • Ingram, R. U., Halai, A. D., Pobric, G., Sajjadi, S., Patterson, K., & Lambon Ralph, M. A. (2020). Graded, multidimensional intra- and intergroup variations in primary progressive aphasia and post-stroke aphasia. Brain A Journal of Neurology, 143(10), 3121–3135. https://doi.org/10.1093/brain/awaa245
  • Jarrold, W., Gorno-Tempini, M. L., & Ogar, J. (2014). Aided diagnosis of dementia type through computer-based analysis of spontaneous speech. Proceedings of the Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality, Baltimore, Maryland, USA (pp. 27–37).
  • Kay, J., Lesser, R., & Coltheart, M. (1996). Psycholinguistic assessments of language processing in aphasia (PALPA): An introduction. Aphasiology, 10(2), 159–180. https://doi.org/10.1080/02687039608248403
  • Kertesz, A. (2006). Western aphasia battery–revised. APA PsycTests. https://doi.org/10.1037/t15168-000
  • Kirsner, K., Dunn, J., & Hird, K. (2003). Fluency: Time for a paradigm shift. ISCA Tutorial and Research Workshop on Disfluency in Spontaneous Speech, Red Bank, NJ, United States.
  • Kok, R. M., & Verhey, F. R. J. (2002). Gestandaardiseerde MMSE. Zeist: Altrecht GGZ.
  • Kormos, J., & Dénes, M. (2004). Exploring measures and perceptions of fluency in the speech of second language learners. System, 32(2), 145–164. https://doi.org/10.1016/j.system.2004.01.001
  • Kruschke, J. (2014). Doing Bayesian data analysis: A tutorial with R, JAGS, and stan. Academic Press.
  • Le, D., Licata, K., & Mower Provost, E. (2018). Automatic quantitative analysis of spontaneous aphasic speech. Speech Communication, 100, 1–12. https://doi.org/10.1016/j.specom.2018.04.001
  • Lestary, A., Krismanti, N., & Hermaniar, Y. (2018). Interruptions and silences in conversations: A turn-taking analysis. PAROLE: Journal of Linguistics and Education, 7(2), 53–64. https://doi.org/10.14710/parole.v7i2.64
  • Leyton, C. E., Hodges, J. R., McLean, C. A., Kril, J. J., Piguet, O., & Ballard, K. J. (2015). Is the logopenic-variant of primary progressive aphasia a unitary disorder? Cortex; a Journal Devoted to the Study of the Nervous System and Behavior, 67, 122–133. https://doi.org/10.1016/j.cortex.2015.03.011
  • Lindeboom, J., & Schmand, B. (2014). VAT: Visuele associatie test. Hogrefe Uitgevers.
  • Liu, H., MacWhinney, B., Fromm, D., & Lanzi, A. (2023). Automation of language sample analysis. Journal of Speech, Language, and Hearing Research, 66(7), 2421–2433. https://doi.org/10.1044/2023_JSLHR-22-00642
  • Louwersheimer, E., Keulen, M. A., Steenwijk, M. D., Wattjes, M. P., Jiskoot, L. C., Vrenken, H., Teunissen, C. E., van Berckel, B. N. M., van der Flier, W. M., Scheltens, P., van Swieten, J. C., & Pijnenburg, Y. A. L. (2016). Heterogeneous language profiles in patients with primary progressive aphasia due to Alzheimer’s disease. Journal of Alzheimer’s Disease: JAD, 51(2), 581–590. https://doi.org/10.3233/JAD-150812
  • Luz, S., Haider, F., De La Fuente Garcia, S., Fromm, D., & MacWhinney, B. (2021). Editorial: Alzheimer’s dementia recognition through spontaneous speech. Frontiers in Computer Science, 3, 780169. https://doi.org/10.3389/fcomp.2021.780169
  • Mahajan, P., & Baths, V. (2021). Acoustic and language based deep learning approaches for Alzheimer’s dementia detection from spontaneous speech. Frontiers in Aging Neuroscience, 13, 623607. https://doi.org/10.3389/fnagi.2021.623607
  • Makowski, R., & Hossa, R. (2020). Voice activity detection with quasi-quadrature filters and GMM decomposition for speech and noise. Applied Acoustics, 166, 107344. https://doi.org/10.1016/j.apacoust.2020.107344
  • Matias-Guiu, J. A., Suárez-Coalla, P., Yus, M., Pytel, V., Hernández-Lorenzo, L., Delgado-Alonso, C., Delgado-Álvarez, A., Gómez-Ruiz, N., Polidura, C., Cabrera-Martín, M. N., Matímatías-Guiu, J., & Cuetos, F. (2022). Identification of the main components of spontaneous speech in primary progressive aphasia and their neural underpinnings using multimodal MRI and FDG-PET imaging. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior, 146, 141–160. https://doi.org/10.1016/j.cortex.2021.10.010
  • McElreath, R. (2023). Rethinking: Statistical rethinking book package. manual.
  • Miller, N., Willmes, K., & De Bleser, R. (2000). The psychometric properties of the English language version of the Aachen Aphasia Test (EAAT). Aphasiology, 14(7), 683–722. https://doi.org/10.1080/026870300410946
  • Morris, J. C. (1993). The Clinical Dementia Rating (CDR): Current version and scoring rules. Neurology, 43(11), 2412. https://doi.org/10.1212/WNL.43.11.2412-a
  • Nasreen, S., Rohanian, M., Hough, J., & Purver, M. (2021). Alzheimer’s dementia recognition from spontaneous speech using disfluency and interactional features. Frontiers in Computer Science, 3, 640669. https://doi.org/10.3389/fcomp.2021.640669
  • Oksanen, J., Simpson, G. L., Blanchet, F. G., Kindt, R., Legendre, P., Minchin, P. R., O’Hara, R., Solymos, P., Stevens, M. H. H., Szoecs, E., Wagner, H., Barbour, M., Bedward, M., Bolker, B., Borcard, D., Carvalho, G., Chirico, M., De Caceres, M., Durand, S. & Weedon, J. (2022). Vegan: Community ecology package. manual.
  • Ossewaarde, R., Jonkers, R., Jalvingh, F., & Bastiaanse, R. (2020). Quantifying the uncertainty of parameters measured in spontaneous speech of speakers with dementia. Journal of Speech, Language, and Hearing Research, 63(7), 2255–2270. https://doi.org/10.1044/2020_JSLHR-19-00222
  • Pakhomov, S. V. S., Smith, G. E., Chacon, D., Feliciano, Y., Graff-Radford, N., Caselli, R., & Knopman, D. S. (2010). Computerized analysis of speech and language to identify psycholinguistic correlates of frontotemporal lobar degeneration. Cognitive and Behavioral Neurology, 23(3), 165–177. https://doi.org/10.1097/WNN.0b013e3181c5dde3
  • Parlak, M. M., Saylam, G., Babademez, M. A., Munis, Ö. B., & Tokgöz, S. A. (2023). Voice analysis results in individuals with Alzheimer’s disease: How do age and cognitive status affect voice parameters? Brain and Behavior, 13(11), e3271. https://doi.org/10.1002/brb3.3271
  • Potagas, C., Nikitopoulou, Z., Angelopoulou, G., Kasselimis, D., Laskaris, N., Kourtidou, E., Constantinides, V. C., Bougea, A., Paraskevas, G. P., Papageorgiou, G., Tsolakopoulos, D., Papageorgiou, S. G., & Kapaki, E. (2022). Silent pauses and speech indices as biomarkers for primary progressive aphasia. Medicina, 58(10), 1352. https://doi.org/10.3390/medicina58101352
  • Povey, D., Ghoshal, A., Boulianne, G., Burget, L., Glembek, O., Goel, N., Hannemann, M., Motlicek, P., Qian, Y., & Schwarz, P. (2011). The Kaldi speech recognition toolkit. IEEE 2011 Workshop on Automatic Speech Recognition and Understanding, (EPFL-CONF-192584), Waikoloa, HI, United States.
  • Prins, R., & Bastiaanse, R. (2004). Analysing the spontaneous speech of aphasic speakers. Aphasiology, 18(12), 1075–1091. https://doi.org/10.1080/02687030444000534
  • Qin, Y., Lee, T., & Hin Kong, A. P. (2018). Automatic speech assessment for aphasic patients based on syllable-level embedding and supra-segmental duration features. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 5994–5998). https://doi.org/10.1109/ICASSP.2018.8461289
  • Ramírez, J., Segura, J. C., Benıtez, C., De La Torre, A., & Rubio, A. (2004). Efficient voice activity detection algorithms using long-term speech information. Speech Communication, 42(3–4), 271–287. https://doi.org/10.1016/j.specom.2003.10.002
  • R Core Team. (2017). R: A language and environment for statistical computing.
  • Roark, B., Mitchell, M., Hosom, J. P., Hollingshead, K., & Kaye, J. (2011). Spoken language derived measures for detecting mild cognitive impairment. IEEE Transactions on Audio, Speech and Language Processing, 19(7), 2081–2090. https://doi.org/10.1109/TASL.2011.2112351
  • Rohrer, J. D., Rossor, M. N., & Warren, J. D. (2012). Alzheimer’s pathology in primary progressive aphasia. Neurobiology of Aging, 33(4), 744–752. https://doi.org/10.1016/j.neurobiolaging.2010.05.020
  • Sadeghian, R., Schaffer, J. D., & Zahorian, S. A. (2021). Towards an automatic speech-based diagnostic test for Alzheimer’s disease. Frontiers in Computer Science, 3, 624594. https://doi.org/10.3389/fcomp.2021.624594
  • Schmand, B., Groenink, S. C., & Den Dungen, M. (2008). Letterfluency: Psychometrische eigenschappen en nederlandse normen. Tijdschrift voor Gerontologie en Geriatrie, 39(2), 64–74. https://doi.org/10.1007/BF03078128
  • Scollon, R., & Wong-Scollon, S. (2013). Athabaskan-english interethnic communication. In D. Carbaugh (Ed.), Cultural communication and intercultural contact (pp. 259–286). Routledge. https://doi.org/10.4324/9780203812259
  • Shriberg, E. (2005). Spontaneous speech: How people really talk and why engineers should care. Ninth European Conference on Speech Communication and Technology, Lisboa, Portugal.
  • Simmatis, L. E. R., Robin, J., Spilka, M. J., & Yunusova, Y. (2024). Detecting bulbar amyotrophic lateral sclerosis (ALS) using automatic acoustic analysis. BioMedical Engineering OnLine, 23(1), 15. https://doi.org/10.1186/s12938-023-01174-z
  • Snyder, D., Garcia-Romero, D., Povey, D., & Khudanpur, S. (2017). Deep neural network embeddings for text-independent speaker verification. Interspeech, Stockholm, Sweden (Vol. 2017, pp. 999–1003).
  • Stan Development Team. (2016). RStan: The R interface to stan (Version 2.1).
  • Stan Development Team. (2023). Stan modeling language users guide and reference manual, v.2.32.0.
  • Strimbu, K., & Tavel, J. A. (2010). What are biomarkers? Current Opinion in HIV and AIDS, 5(6), 463–466. https://doi.org/10.1097/COH.0b013e32833ed177
  • Swinburn, K., Porter, G., & Howard, D. (2004). CAT: Comprehensive aphasia test. Psychology Press.
  • Themistocleous, C., Ficek, B., Webster, K., den Ouden, D.-B., Hillis, A. E., & Tsapkini, K. (2021). Automatic subtyping of individuals with primary progressive aphasia. Journal of Alzheimer’s Disease: JAD, 79(3), 1185–1194. https://doi.org/10.3233/JAD-201101
  • Van den Burg, W., Saan, R. J., & Deelman, B. G. (1985). 15-woordentest: Provisional manual. University Hospital, Department of Neuropsychology.
  • Van der Flier, W. M., Pijnenburg, Y. A. L., Prins, N., Lemstra, A. W., Bouwman, F. H., Teunissen, C. E., van Berckel, B. N. M., Stam, C. J., Barkhof, F., Visser, P. J., van Egmond, E., & Scheltens, P. (2014). Optimizing patient care and research: The Amsterdam Dementia Cohort. Journal of Alzheimer’s Disease: JAD, 41(1), 313–327. https://doi.org/10.3233/JAD-132306
  • Yesavage, J. A. (1988). Geriatric depression scale. Psychopharmacology Bulletin, 24(4), 709–711.
  • Yuan, J., Cai, X., Bian, Y., Ye, Z., & Church, K. (2021). Pauses for detection of Alzheimer’s disease. Frontiers in Computer Science, 2, 624488. https://doi.org/10.3389/fcomp.2020.624488
  • Zwan, M. D., van der Flier, W. M., Cleutjens, S., Schouten, T. C., Vermunt, L., Jutten, R. J., van Maurik, I. S., Sikkes, S. A. M., Flenniken, D., Howell, T., Weiner, M. W., Scheltens, P., & Prins, N. D. (2021). Dutch brain research registry for study participant recruitment: Design and first results. Alzheimer’s & Dementia (New York, NY), 7(1), e12132. https://doi.org/10.1002/trc2.12132

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