ArticleJournal of neurolinguistics2012
Measures to Evaluate the Effects of DBS on Speech Production.
Article in Journal of neurolinguistics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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.
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.
Who cites it
31 citing papers in PubMed, 83 citations in OpenAlex.
- Variable Speech Cueing Effects in Talkers With Parkinson's Disease.American journal of speech-language pathology · 2026Article
- Acoustic and Kinematic Predictors of Intelligibility and Articulatory Precision in Parkinson's Disease.Journal of speech, language, and hearing research : JSLHR · 2024Article
- Contributions of Speech Timing and Articulatory Precision to Listener Perceptions of Intelligibility and Naturalness in Parkinson's Disease.Journal of speech, language, and hearing research : JSLHR · 2024Article
- Effects of Deep-Brain Stimulation on Speech: Perceptual and Acoustic Data.Journal of speech, language, and hearing research : JSLHR · 2024Article
- Effects of Speaking Rate on Variability of Second Formant Frequency Transitions in Dysarthria.Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) · 2024Article
- The Relationship Between Acoustic and Kinematic Vowel Space Areas With and Without Normalization for Speakers With and Without Dysarthria.American journal of speech-language pathology · 2023Article
- Vowel Acoustics as Predictors of Speech Intelligibility in Dysarthria.Journal of speech, language, and hearing research : JSLHR · 2023Article
- Oromotor Nonverbal Performance and Speech Motor Control: Theory and Review of Empirical Evidence.Brain sciences · 2023Review
- Intelligibility Across a Reading Passage: The Effect of Dysarthria and Cued Speaking Styles.American journal of speech-language pathology · 2022Article
- Article
- Detection of Articulatory Deficits in Parkinson's Disease: Can Systematic Manipulations of Phonetic Complexity Help?Journal of speech, language, and hearing research : JSLHR · 2020Article
- Detecting Bulbar Motor Involvement in ALS: Comparing speech and chewing tasks.International journal of speech-language pathology · 2019Article
- Tongue- and Jaw-Specific Articulatory Underpinnings of Reduced and Enhanced Acoustic Vowel Contrast in Talkers With Parkinson's Disease.Journal of speech, language, and hearing research : JSLHR · 2019Article
- Treating Speech Movement Hypokinesia in Parkinson's Disease: Does Movement Size Matter?Journal of speech, language, and hearing research : JSLHR · 2018Article
- Acoustic Predictors of Pediatric Dysarthria in Cerebral Palsy.Journal of speech, language, and hearing research : JSLHR · 2018Article
- Dysarthria in Mandarin-Speaking Children With Cerebral Palsy: Speech Subsystem Profiles.Journal of speech, language, and hearing research : JSLHR · 2018Article
- Vocalic transitions as markers of speech acoustic changes with STN-DBS in Parkinson's Disease.Journal of communication disorders · 2017Article
- Clear Speech Variants: An Acoustic Study in Parkinson's Disease.Journal of speech, language, and hearing research : JSLHR · 2016Article
- Articulatory Changes in Vowel Production following STN DBS and Levodopa Intake in Parkinson's Disease.Parkinson's disease · 2015Article
- The Feasibility of Using Acoustic Markers of Speech for Optimizing Patient Outcomes during Randomized Amplitude Variation in Deep Brain Stimulation: A Proof of Principle Methods Study.Frontiers in bioengineering and biotechnology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
The purpose of this paper is to review and evaluate measures of speech production that could be used to document effects of Deep Brain Stimulation (DBS) on speech performance, especially in persons with Parkinson disease (PD). A small set of evaluative criteria for these measures is presented first, followed by consideration of several speech physiology and speech acoustic measures that have been studied frequently and reported on in the literature on normal speech production, and speech production affected by neuromotor disorders (dysarthria). Each measure is reviewed and evaluated against the evaluative criteria. Embedded within this review and evaluation is a presentation of new data relating speech motions to speech intelligibility measures in speakers with PD, amyotrophic lateral sclerosis (ALS), and control speakers (CS). These data are used to support the conclusion that at the present time the slope of second formant transitions (F2 slope), an acoustic measure, is well suited to make inferences to speech motion and to predict speech intelligibility. The use of other measures should not be ruled out, however, and we encourage further development of evaluative criteria for speech measures designed to probe the effects of DBS or any treatment with potential effects on speech production and communication skills.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.