Evidence map›Paper›PMID 39639569›Full record

ArticleJournal of Alzheimer's disease : JAD2025

Articulatory precision from connected speech as a marker of cognitive decline in Alzheimer's disease risk-enriched cohorts.

Lingfeng Xu, Kewei Chen, Kimberly D Mueller, Julie Liss, Visar Berisha

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

5 authors.

Lingfeng XuSchool of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA.ORCID 0000-0002-6554-9438
Kewei ChenCollege of Health Solutions, Arizona State University, Tempe, AZ, USA.
Kimberly D MuellerDepartment of Communication Sciences and Disorders, The University of Wisconsin-Madison, Madison, WI, USA.
Julie LissCollege of Health Solutions, Arizona State University, Tempe, AZ, USA.
Visar BerishaCollege of Health Solutions, School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA.

Funding

Wisconsin Registry for Alzheimer's Prevention: Sex Differences in DNA MethylationR01AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Nathaniel Ark Chin, Sterling C Johnson · 2007 to 2026
$35.6M
The Longitudinal Course of Neural Function and Amyloid in People At Risk for ADR01AG021155 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sterling C Johnson · 2004 to 2026
$27.0M
African Americans Fighting Alzheimer’s in Midlife (AA-FAIM)R01AG054059 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAREY E GLEASON · 2016 to 2026
$15.3M
Perception of dysarthric speech: An objective model of dysarthric speech evaluation with actionable outcomesR01DC006859 · NIDCD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI BERISHA, VISAR, LISS, JULIE M · 2004 to 2021
$4.8M
Connected Language and Speech Along the Spectrum of Alzheimer’s Disease and Related Dementias: Digital Assessment and Monitoring.R01AG082052 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Kimberly D Mueller · 2023 to 2026
$3.0M
The effects of telepractice technology on dysarthric speech evaluationR21DC019475 · NIDCD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI BERISHA, VISAR, LISS, JULIE M · 2021 to 2022
$414k
Quantitative Measures of Intelligibility of Dysarthric SpeechR21DC012558 · NIDCD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI LISS, JULIE M · 2012 to 2013
$392k
A web-based platform for cross-linguistic research in dysarthric speechR21DC013812 · NIDCD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI BERISHA, VISAR, LISS, JULIE M · 2015 to 2016
$359k
NIA NIH HHS R01 AG021155NIA NIH HHS R01 AG027161NIA NIH HHS R01 AG054059NIA NIH HHS R01 AG082052NIDCD NIH HHS R01 DC006859NIDCD NIH HHS R21 DC012558NIDCD NIH HHS R21 DC013812NIDCD NIH HHS R21 DC019475
6 · The paper itself

Abstract

backgroundMild cognitive impairment (MCI) has been recognized as a possible precursor to Alzheimer's disease (AD). Recent research focusing on connected speech has uncovered various features strongly correlated with MCI due to AD and related dementias. Despite these advancements, the impact of early cognitive decline on articulatory precision has not been thoroughly investigated.

objectiveThis study introduced the phoneme log-likelihood ratio (PLLR) to assess the articulatory precision of speakers across different cognitive status levels and compared its effectiveness to existing well-studied acoustic features.

methodsThe study utilized speech recordings from a picture description task, which included data from 324 cognitively unimpaired participants with low amyloid-β burden (CU, Aβ(

resultsA reduction in speech fluency and pace was observed among participants in the MCI and dementia groups. The PLLR shows large effect sizes in distinguishing between cognitively unimpaired participants with low Aβ burden and those diagnosed with MCI or dementia. Additionally, the test-retest reliability experiment indicated moderate repeatability of the features under study.

conclusionsThe study reveals PLLR as a sensitive indicator capable of detecting subtle articulatory variations across groups, while also providing further support for the association between reduced articulatory precision and early cognitive decline.

Indexed as

Alzheimer DiseaseCognitive DysfunctionSpeechAgedAged, 80 and overAmyloid beta-PeptidesCohort StudiesFemaleHumansMaleMiddle AgedNeuropsychological TestsAmyloid beta-PeptidesAlzheimer’s diseaseamyloidbiomarkermild cognitive impairmentspeech

Identifiers

PMID39639569
PMCPMC11798706

What OpenQuestion holds

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Registered trials

None linked

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.