Evidence map›Paper›PMID 42849896›Full record

Observational studyJMIR formative research2026

Remote Identification of APOE-ε4 Carrier Status in Cognitively Normal Adults via Speech Acoustics: Cross-Sectional Observational Study.

Maryam Tavakoli, Mehrdad Dadgostar, Jordan R Green, David H Salat, Steven E Arnold, Kathryn P Connaghan, Brian Richburg, Nelson V Barnett, Mariam Tkeshelashvili, Marziye Eshghi

Abstract readObservational Study
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In one paragraph

Observational study in JMIR formative research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Maryam Tavakoli *Mass General Brigham University of Health Professions, Charlestown, MA, United States.ORCID https://orcid.org/0009-0004-8085-6227
Mehrdad Dadgostar *Mass General Brigham University of Health Professions, Charlestown, MA, United States.ORCID https://orcid.org/0000-0002-3238-1261
Jordan R GreenMass General Brigham University of Health Professions, Charlestown, MA, United States.ORCID https://orcid.org/0000-0002-1464-1373
David H SalatAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States.ORCID https://orcid.org/0000-0002-2246-9657
Steven E ArnoldAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States.ORCID https://orcid.org/0000-0002-9487-415X
Kathryn P ConnaghanMass General Brigham University of Health Professions, Charlestown, MA, United States.ORCID https://orcid.org/0000-0003-0849-1441
Brian RichburgMass General Brigham University of Health Professions, Charlestown, MA, United States.ORCID https://orcid.org/0000-0002-9191-2202
Nelson V BarnettMass General Brigham University of Health Professions, Charlestown, MA, United States.ORCID https://orcid.org/0009-0000-0363-1244
Mariam TkeshelashviliMass General Brigham University of Health Professions, Charlestown, MA, United States.ORCID https://orcid.org/0009-0001-4393-0473
Marziye EshghiMass General Brigham University of Health Professions, Charlestown, MA, United States.ORCID https://orcid.org/0000-0003-1270-6521

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApolipoprotein E ε4 (APOE-ε4), the strongest genetic risk factor for late-onset Alzheimer disease (AD), is associated with early neuromotor vulnerability that may precede measurable cognitive decline. Because speech integrates fine neuromotor processes, acoustic analysis could offer a sensitive, noninvasive marker of preclinical effects.

objectiveThis study aims to determine if speech acoustics distinguish cognitively normal APOE-ε4 carriers from noncarriers, and to assess which speech tasks provide optimal classification performance.

methodsIn this cross-sectional observational study, 80 cognitively normal adults aged 41 to 89 years (22 APOE-ε4 carriers and 58 noncarriers) completed sustained phonation, oral diadochokinetic syllable repetition, passage reading, and spontaneous-speech tasks. Speech samples were collected remotely using participants' personal devices and processed to extract 88 acoustic features from the extended Geneva Minimalistic Acoustic Parameter Set. Task-specific random forest classifiers were developed to distinguish APOE-ε4 carriers from noncarriers. A genetic algorithm was used to select informative features, and model performance was evaluated using leave-one-participant-out cross-validation. Performance metrics included balanced accuracy, accuracy, precision, sensitivity, specificity, F

resultsSpontaneous speech produced the strongest classification performance, with balanced accuracy of 0.84, accuracy of 0.89, sensitivity of 0.73, specificity of 0.95, F

conclusionsAutomated analysis of task-specific acoustic speech features, particularly spontaneous speech, internally distinguished cognitively normal APOE-ε4 carriers from noncarriers. These findings support further validation of speech acoustics as a low-burden digital biomarker of preclinical AD risk and suggest that spontaneous-speech tasks may be especially well suited for future remote and longitudinal assessment.

Indexed as

Apolipoprotein E4CognitionHeterozygoteSpeech AcousticsAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedSpeechApolipoprotein E4Alzheimer diseaseAPOE-ε4 genotypeapolipoprotein E ε4eGeMAPSextended Geneva Minimalistic Acoustic Parameter Setgenetic risk factorspeech acousticsspeech biomarkers

Identifiers

PMID42849896

What OpenQuestion holds

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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.