Evidence map›Paper›PMID 41479611›Full record

ArticleFrontiers in neurology2025

Kinematic correlates of early speech motor changes in cognitively intact APOE-ε4 carriers: a preliminary study using a color-word interference task.

Mehrdad Dadgostar, Lindsay C Hanford, Jordan R Green, Brian D Richburg, Averi Taylor Cannon, Nelson V Barnett, David H Salat, Steven E Arnold, Marziye Eshghi

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. 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

5 · Who and what money

Authors and funding

9 authors.

Mehrdad DadgostarMGH Institute of Health Professions, Charlestown, MA, United States.
Lindsay C HanfordDepartment of Psychology, Harvard University, Cambridge, MA, United States.
Jordan R GreenMGH Institute of Health Professions, Charlestown, MA, United States.
Brian D RichburgMGH Institute of Health Professions, Charlestown, MA, United States.
Averi Taylor CannonMGH Institute of Health Professions, Charlestown, MA, United States.
Nelson V BarnettMGH Institute of Health Professions, Charlestown, MA, United States.
David H SalatAthinoula A. Martinos Center for Biomedical Imaging, Harvard-MIT Health Sciences and Technology, Charlestown, MA, United States.
Steven E ArnoldDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Marziye EshghiMGH Institute of Health Professions, Charlestown, MA, United States.

Funding

A digital tool for monitoring speech decline in ALSR42DC019877 · NIDCD · MODALITY.AI , INC · PI GREEN, JORDAN R, RAMANARAYANAN, VIKRAM · 2022 to 2024
$2.3M
Social Connectedness in People with Amyotrophic Lateral Sclerosis: The Impact of Dysarthria, Immobility, and Psychosocial FactorsR01DC021446 · NIDCD · MGH INSTITUTE OF HEALTH PROFESSIONS · PI Kathryn Patricia Connaghan, JORDAN R GREEN · 2024 to 2026
$1.8M
Early Biomarkers of Alzheimer's Disease: Using Speech Markers to Detect Mild Cognitive ImpairmentK23DC019179 · NIDCD · MGH INSTITUTE OF HEALTH PROFESSIONS · PI ESHGHI, MARZIYE · 2021 to 2025
$1.1M
NIDCD NIH HHS K23 DC019179NIDCD NIH HHS R01 DC021446NIDCD NIH HHS R42 DC019877
6 · The paper itself

Abstract

Introduction: Alzheimer's disease (AD) is the most prevalent form of dementia and a major public health challenge. In the absence of a cure, accurate and innovative early diagnostic methods are essential for proactive life and healthcare planning. Speech metrics have shown promising potential for identifying individuals with mild cognitive impairment (MCI) and AD, prompting investigation into whether speech motor features can detect elevated risk even prior to cognitive decline. This preliminary study examined whether speech kinematic features measured during a color-word interference task could distinguish cognitively normal APOE-ε4 carriers (ε4 Methods: Sixteen cognitively normal older adults ( Results: Although no group differences reached statistical significance after accounting for multiple testing, several features showed moderate effect sizes. The optimal SVM model achieved 87.5% cross-validated accuracy (precision 88.9%, sensitivity 88.9%, specificity 85.7%) using three features: (1) lip movement duration during the pre-interference segment, (2) average lip speed during interference, and (3) the change in lip movement range from pre- to during-interference segments (ΔDuring-Pre). Discussion: These findings suggest that lip kinematic responses to mild cognitive-motor interference may capture subtle neuromotor differences associated with APOE-ε4 status in cognitively intact older adults. The identified features point to potential alterations in anticipatory motor planning, interference susceptibility, and articulatory adaptability in ε4

Indexed as

Alzheimer’s diseaseAPOE-ε4 genotypecolor-word interferencegenetic risk factorkinematicsspeech biomarkersstroop-induced speech tasks

Identifiers

PMID41479611
PMCPMC12755850

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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.