A longitudinal study of automated analysis of acoustic speech markers in FTD and PPA: Biomarkers (non‐neuroimaging) / Longitudinal change over time. (7th December 2020)

• Record Type: Journal Article
• Authors: Nevler, Naomi; Ash, Sharon; Cho, Sunghye; Shellikeri, Sanjana; Parjane, Natalia; Irwin, David J; Liberman, Mark Y; Grossman, Murray
• Is Part Of: Alzheimer's & dementia. Volume 16(2020)Supplement 5
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-12-07
• Subjects: Alzheimer's disease -- Periodicals; Alzheimer Disease -- Periodicals; Dementia -- Periodicals; Démence; Maladie d'Alzheimer; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.83
• DOI: 10.1002/alz.045315
• Languages: English
• ISSNs: 1552-5260

Abstract

Abstract: Background: Speech is a complex activity requiring proper function and connectivity of multiple brain networks and as such is sensitive to focal neurodegeneration. We have previously reported on acoustic markers of dysprosody in speech samples of speakers with frontotemporal dementia (FTD) phenotypes. In the current study we explore the longitudinal changes in acoustic‐prosodic markers in FTD. Method: We analyzed 102 speech samples of picture descriptions from 46 participants with FTD (Table 1): 8 with non‐fluent/agrammatic primary progressive aphasia (naPPA), 14 with semantic variant PPA (svPPA), 10 with logopenic aphasia (lvPPA) and 14 with behavioral FTD (bvFTD). We automatically segmented the acoustic signal into segments of continuous speech or silence, measured their durations, and derived other measures. We used linear mixed effects (lme) models to test changes over time for each acoustic measure, controlling for sex, education, and random intercepts. We also examined any interaction between phenotypes and disease duration. Result: bvFTD speakers increased their pause duration by 0.27 seconds per year and their pause rate by 3.9 pauses per minute (ppm) each year. Their speech segment duration shortened by 0.1 seconds per year (p=0.041), decreasing their total speech time by 6.6 seconds (p=0.003) per year. Thus, bvFTD patients reduced the proportion of speech in their samples by 5.16 percent per year (p=0.008). svPPA speakers increased their pause rate similarly, but in contrast, their pause duration decreased by 0.097 seconds per year and they increased their speech segment frequency by 8.32 per minute each year (p=0.054). naPPA and lvPPA speakers increased their pause rate over time and spent less total time (speech + pause) describing the picture (by 5.6 seconds per year; p=0.018). They did not differ from bvFTD and svPPA in these two acoustic measures. Conclusion: In our study all FTD speakers became more dysfluent and produced shorter descriptions with time, however, only bvFTD speakers actually exhibited reduced speech production. In contrast, svPPA speech had more frequent pauses and speech segments over time, rendering it "fragmented" and inefficient. These findings support the role of automated acoustic analysis in characterizing speech longitudinally in neurodegeneration.