Evidence map›Paper›PMID 37122073›Full record

ArticleClinical linguistics & phonetics2024

The association between longitudinal declines in speech sound accuracy and speech intelligibility in speakers with amyotrophic lateral sclerosis.

Hannah P Rowe, Kaila L Stipancic, Thomas F Campbell, Yana Yunusova, Jordan R Green

Open access · greenAbstract read
In one paragraph

Article in Clinical linguistics & phonetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

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

5 authors at 4 institutions in 2 countries.

Hannah P RoweDepartment of Rehabilitation Sciences, MGH Institute of Health Professions, Boston, Massachusetts, USA.ORCID 0000-0002-8788-347X
Kaila L StipancicDepartment of Communicative Disorders and Sciences, The State University of New York, Buffalo, New York, USA.
Thomas F CampbellCallier Center for Communication Disorders, University of Texas, Dallas, Texas, USA.
Yana YunusovaDepartment of Speech-Language Pathology and Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario, Canada.
Jordan R GreenDepartment of Rehabilitation Sciences, MGH Institute of Health Professions, Boston, Massachusetts, USA.
MGH Institute of Health Professions · USSunnybrook Health Science Centre · CAThe University of Texas at Dallas · USUniversity at Buffalo, State University of New York · US

Funding

The development and validation of a novel tool for the assessment of bulbar dysfunction in ALSR01DC017291 · NIDCD · SUNNYBROOK RESEARCH INSTITUTE · PI JORDAN R GREEN, Yana Yunusova · 2018 to 2026
$3.6M
SPEECH MOVEMENT CLASSIFICATION FOR ASSESSING AND TREATING ALSR01DC013547 · NIDCD · MGH INSTITUTE OF HEALTH PROFESSIONS · PI GREEN, JORDAN R · 2014 to 2018
$3.2M
A digital tool for monitoring speech decline in ALSR42DC019877 · NIDCD · MODALITY.AI , INC · PI GREEN, JORDAN R, RAMANARAYANAN, VIKRAM · 2022 to 2024
$2.3M
Prolonging Functional Speech in Persons with Amyotrophic Lateral Sclerosis: A Real-Time Virtual Vocal TractK24DC016312 · NIDCD · MGH INSTITUTE OF HEALTH PROFESSIONS · PI GREEN, JORDAN R · 2017 to 2021
$949k
Exploring the validity of articulatory impairment phenotypes in speech motor disordersF31DC019556 · NIDCD · MGH INSTITUTE OF HEALTH PROFESSIONS · PI ROWE, HANNAH PRESCOTT · 2021 to 2022
$50k
NIDCD NIH HHS F31 DC019556NIDCD NIH HHS K24 DC016312NIDCD NIH HHS R01 DC013547NIDCD NIH HHS R01 DC017291NIDCD NIH HHS R42 DC019877
6 · The paper itself

Abstract

The purpose of this study was to examine how neurodegeneration secondary to amyotrophic lateral sclerosis (ALS) impacts speech sound accuracy over time and how speech sound accuracy, in turn, is related to speech intelligibility. Twenty-one participants with ALS read the Bamboo Passage over multiple data collection sessions across several months. Phonemic and orthographic transcriptions were completed for all speech samples. The percentage of phonemes accurately produced was calculated across each phoneme, sound class (i.e. consonants versus vowels), and distinctive feature (i.e. features involved in Manner of Articulation, Place of Articulation, Laryngeal Voicing, Tongue Height, and Tongue Advancement). Intelligibility was determined by calculating the percentage of words correctly transcribed orthographically by naive listeners. Linear mixed effects models were conducted to assess the decline of each distinctive feature over time and its impact on intelligibility. The results demonstrated that overall phonemic production accuracy had a nonlinear relationship with speech intelligibility and that a subset of features (i.e. those dependent on precise lingual and labial constriction and/or extensive lingual and labial movement) were more important for intelligibility and were more impacted over time than other features. Furthermore, findings revealed that consonants were more strongly associated with intelligibility than vowels, but consonants did not significantly differ from vowels in their decline over time. These findings have the potential to (1) strengthen mechanistic understanding of the physiological constraints imposed by neuronal degeneration on speech production and (2) inform the timing and selection of treatment and assessment targets for individuals with ALS.

Indexed as

Amyotrophic Lateral SclerosisVoiceHumansMovementPhoneticsSpeech IntelligibilitySpeech Production Measurementintelligibilityneurodegenerative diseasePhonemic analysisspeech impairment

Identifiers

PMID37122073
PMCPMC10613582
OpenAlexW4367548821

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.