Evidence map›Paper›PMID 39090738›Full record

ArticleAlzheimer's research & therapy2024

Digital remote assessment of speech acoustics in cognitively unimpaired adults: feasibility, reliability and associations with amyloid pathology.

Rosanne L van den Berg, Casper de Boer, Marissa D Zwan, Roos J Jutten, Mariska van Liere, Marie-Christine A B J van de Glind, Mark A Dubbelman, Lisa Marie Schlüter, Argonde C van Harten, Charlotte E Teunissen and 8 more

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Rosanne L van den BergAlzheimer Center Amsterdam, Neurology, Amsterdam University Medical Center, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands. r.l.vandenberg@amsterdamumc.nl.
Casper de BoerAlzheimer Center Amsterdam, Neurology, Amsterdam University Medical Center, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands.
Marissa D ZwanAlzheimer Center Amsterdam, Neurology, Amsterdam University Medical Center, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands.
Roos J JuttenDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Mariska van LiereAlzheimer Center Amsterdam, Neurology, Amsterdam University Medical Center, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands.
Marie-Christine A B J van de GlindAlzheimer Center Amsterdam, Neurology, Amsterdam University Medical Center, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands.
Mark A DubbelmanDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Lisa Marie SchlüterAlzheimer Center Amsterdam, Neurology, Amsterdam University Medical Center, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands.
Argonde C van HartenAlzheimer Center Amsterdam, Neurology, Amsterdam University Medical Center, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands.
Charlotte E TeunissenAmsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands.
Elsmarieke van de GiessenDepartment of Radiology & Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Frederik BarkhofAmsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands.
Lyduine E CollijAmsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands.
Jessica RobinCambridge Cognition, Bottisham, UK.
William SimpsonCambridge Cognition, Bottisham, UK.
John E HarrisonAlzheimer Center Amsterdam, Neurology, Amsterdam University Medical Center, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands.
Wiesje M van der FlierAlzheimer Center Amsterdam, Neurology, Amsterdam University Medical Center, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands.
Sietske A M SikkesAlzheimer Center Amsterdam, Neurology, Amsterdam University Medical Center, De Boelelaan 1118, Amsterdam, 1081 HZ, The Netherlands.

Funding

Health~Holland LSHM20084-SGF
6 · The paper itself

Abstract

backgroundDigital speech assessment has potential relevance in the earliest, preclinical stages of Alzheimer's disease (AD). We evaluated the feasibility, test-retest reliability, and association with AD-related amyloid-beta (Aβ) pathology of speech acoustics measured over multiple assessments in a remote setting.

methodsFifty cognitively unimpaired adults (Age 68 ± 6.2 years, 58% female, 46% Aβ-positive) completed remote, tablet-based speech assessments (i.e., picture description, journal-prompt storytelling, verbal fluency tasks) for five days. The testing paradigm was repeated after 2-3 weeks. Acoustic speech features were automatically extracted from the voice recordings, and mean scores were calculated over the 5-day period. We assessed feasibility by adherence rates and usability ratings on the System Usability Scale (SUS) questionnaire. Test-retest reliability was examined with intraclass correlation coefficients (ICCs). We investigated the associations between acoustic features and Aβ-pathology, using linear regression models, adjusted for age, sex and education.

resultsThe speech assessment was feasible, indicated by 91.6% adherence and usability scores of 86.0 ± 9.9. High reliability (ICC ≥ 0.75) was found across averaged speech samples. Aβ-positive individuals displayed a higher pause-to-word ratio in picture description (B = -0.05, p = 0.040) and journal-prompt storytelling (B = -0.07, p = 0.032) than Aβ-negative individuals, although this effect lost significance after correction for multiple testing.

conclusionOur findings support the feasibility and reliability of multi-day remote assessment of speech acoustics in cognitively unimpaired individuals with and without Aβ-pathology, which lays the foundation for the use of speech biomarkers in the context of early AD.

Indexed as

Feasibility StudiesSpeech AcousticsAgedAlzheimer DiseaseAmyloid beta-PeptidesFemaleHumansMaleMiddle AgedReproducibility of ResultsSpeechAmyloid beta-PeptidesAlzheimer’s diseaseAmyloidDigital biomarkerLanguageRemote assessmentSpeech acoustics

Identifiers

PMID39090738
PMCPMC11293000

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.