Evidence map›Paper›PMID 38050971›Full record

ArticleAmyotrophic lateral sclerosis & frontotemporal degeneration2024

Digital markers of motor speech impairments in spontaneous speech of patients with ALS-FTD spectrum disorders.

Sanjana Shellikeri, Sunghye Cho, Sharon Ash, Carmen Gonzalez-Recober, Corey T Mcmillan, Lauren Elman, Colin Quinn, Defne A Amado, Michael Baer, David J Irwin and 5 more

Open access · greenAbstract read
In one paragraph

Article in Amyotrophic lateral sclerosis & frontotemporal degeneration, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 28% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Developing digital health technologies for frontotemporal degeneration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 2 institutions in 1 country.

Sanjana ShellikeriPenn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA,USA.ORCID 0000-0002-6436-292X
Sunghye ChoLinguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-1569-7608
Sharon AshPenn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA,USA.ORCID 0000-0002-6656-1842
Carmen Gonzalez-RecoberPenn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA,USA.
Corey T McmillanPenn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA,USA.ORCID 0000-0002-7581-6405
Lauren ElmanPenn ALS Clinic, University of Pennsylvania, PA, USA, and.ORCID 0000-0003-4706-950X
Colin QuinnPenn ALS Clinic, University of Pennsylvania, PA, USA, and.ORCID 0000-0003-0618-5854
Defne A AmadoPenn ALS Clinic, University of Pennsylvania, PA, USA, and.ORCID 0000-0001-6202-3900
Michael BaerPenn ALS Clinic, University of Pennsylvania, PA, USA, and.
David J IrwinPenn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA,USA.ORCID 0000-0002-5599-5098
Lauren MassimoPenn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA,USA.ORCID 0000-0002-3407-7335
Christopher A OlmPenn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA,USA.ORCID 0000-0002-4858-2359
Mark Y LibermanLinguistic Data Consortium, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0002-8605-9024
Murray GrossmanPenn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA,USA.ORCID 0000-0002-7447-6218
Naomi NevlerPenn Frontotemporal Degeneration Center and Department of Neurology, University of Pennsylvania, Philadelphia, PA,USA.ORCID 0000-0001-8745-5945
University of Pennsylvania · USPennsylvania Academic Library Consortium · US

Funding

Research Education ComponentP30AG072979 · NIA · UNIVERSITY OF PENNSYLVANIA · PI DAVID A WOLK · 2021 to 2026
$24.8M
Understanding Environmental Contributions to Heterogeneity in bvFTD.P01AG066597 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Edward Byung-Ha Lee · 2020 to 2026
$18.8M
Spreading Tau Pathology in Non-Amnestic Alzheimer's DiseaseR01AG054519 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jeffrey S Phillips · 2018 to 2026
$7.4M
Microscopic and Large-Scale Networks of Molecular Pathology in Frontotemporal Lobar DegenerationR01NS109260 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI IRWIN, DAVID JOHN · 2019 to 2023
$3.8M
Viral-based Therapeutic Approaches for Reversal of ALS PathologyK08NS114106 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI AMADO, DEFNE AUDREY · 2020 to 2024
$1.1M
Digital biomarkers in narrative and conversational speech in Frontotemporal DementiaK99AG073510 · NIA · UNIVERSITY OF PENNSYLVANIA · PI NEVLER, NAOMI · 2021 to 2022
$259k
Department of Defense W81XWH-20-1-0531NIA NIH HHS K99 AG073510NIA NIH HHS P01 AG066597NIA NIH HHS P30 AG072979NIA NIH HHS R01 AG054519NINDS NIH HHS K08 NS114106NINDS NIH HHS R01 NS109260
6 · The paper itself

Abstract

objectiveTo evaluate automated digital speech measures, derived from spontaneous speech (picture descriptions), in assessing bulbar motor impairments in patients with ALS-FTD spectrum disorders (ALS-FTSD).

methodsAutomated vowel algorithms were employed to extract two vowel acoustic measures: vowel space area (VSA), and mean second formant slope (F2 slope). Vowel measures were compared between ALS with and without clinical bulbar symptoms (ALS + bulbar (n = 49, ALSFRS-r bulbar subscore: x¯ = 9.8 (SD = 1.7)) vs. ALS-nonbulbar (n = 23), behavioral variant frontotemporal dementia (bvFTD, n = 25) without a motor syndrome, and healthy controls (HC, n = 32). Correlations with bulbar motor clinical scales, perceived listener effort, and MRI cortical thickness of the orobuccal primary motor cortex (oral PMC) were examined. We compared vowel measures to speaking rate, a conventional metric for assessing bulbar dysfunction.

resultsALS + bulbar had significantly reduced VSA and F2 slope than ALS-nonbulbar (|d|=0.94 and |d|=1.04, respectively), bvFTD (|d|=0.89 and |d|=1.47), and HC (|d|=0.73 and |d|=0.99). These reductions correlated with worse bulbar clinical scores (VSA: R = 0.33,

conclusionAutomatic vowel measures are easily derived from a brief spontaneous speech sample, are sensitive to mild-moderate stage of bulbar disease in ALS-FTSD, and may present better sensitivity to bulbar impairment compared to traditional assessments such as speaking rate.

Indexed as

Amyotrophic Lateral SclerosisDystonic DisordersFrontotemporal DementiaHumansMagnetic Resonance ImagingSpeechbiomarkerdigital speechdysarthriamotor speech

Identifiers

PMID38050971
PMCPMC11023759
OpenAlexW4389348025

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.