Evidence map›Paper›PMID 29551600›Full record

ArticleResearch in developmental disabilities2018

Typical vs. atypical: Combining auditory Gestalt perception and acoustic analysis of early vocalisations in Rett syndrome.

Florian B Pokorny, Katrin D Bartl-Pokorny, Christa Einspieler, Dajie Zhang, Ralf Vollmann, Sven Bölte, Markus Gugatschka, Björn W Schuller, Peter B Marschik

Abstract read
In one paragraph

Article in Research in developmental disabilities, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 21 citations in OpenAlex.

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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

9 authors at 4 institutions in 4 countries.

Florian B PokornyiDN - interdisciplinary Developmental Neuroscience, Department of Phoniatrics, Medical University of Graz, Graz, Austria; Machine Intelligence & Signal Processing group, MMK, Technical University of Munich, Munich, Germany; Brain, Ears & Eyes - Pattern Recognition Initiative, BioTechMed-Graz, Graz, Austria.
Katrin D Bartl-PokornyiDN - interdisciplinary Developmental Neuroscience, Department of Phoniatrics, Medical University of Graz, Graz, Austria.
Christa EinspieleriDN - interdisciplinary Developmental Neuroscience, Department of Phoniatrics, Medical University of Graz, Graz, Austria.
Dajie ZhangiDN - interdisciplinary Developmental Neuroscience, Department of Phoniatrics, Medical University of Graz, Graz, Austria; Department of Child and Adolescent Psychiatry and Psychotherapy, iDN - interdisciplinary Developmental Neuroscience, University Medical Center Göttingen, Göttingen, Germany.
Ralf VollmannBrain, Ears & Eyes - Pattern Recognition Initiative, BioTechMed-Graz, Graz, Austria; Department of Linguistics, University of Graz, Graz, Austria.
Sven BölteCenter of Neurodevelopmental Disorders (KIND), Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden; Child and Adolescent Psychiatry, Center for Psychiatry Research, Stockholm County Council, Sweden.
Markus GugatschkaiDN - interdisciplinary Developmental Neuroscience, Department of Phoniatrics, Medical University of Graz, Graz, Austria.
Björn W SchullerChair of Embedded Intelligence for Health Care and Wellbeing, Augsburg University, Augsburg, Germany; Group on Language, Audio & Music (GLAM), Department of Computing, Imperial College London, London, UK.
Peter B MarschikiDN - interdisciplinary Developmental Neuroscience, Department of Phoniatrics, Medical University of Graz, Graz, Austria; Brain, Ears & Eyes - Pattern Recognition Initiative, BioTechMed-Graz, Graz, Austria; Department of Child and Adolescent Psychiatry and Psychotherapy, iDN - interdisciplinary Developmental Neuroscience, University Medical Center Göttingen, Göttingen, Germany; Center of Neurodevelopmental Disorders (KIND), Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden. Electronic address: peter.marschik@medunigraz.at.
Medical University of Graz · ATStockholm County Council · SEUniversity of Augsburg · DEUniversity of Graz · AT

Funding

Austrian Science Fund FWF P 25241
6 · The paper itself

Abstract

backgroundEarly speech-language development of individuals with Rett syndrome (RTT) has been repeatedly characterised by a co-occurrence of apparently typical and atypical vocalisations.

aimsTo describe specific features of this intermittent character of typical versus atypical early RTT-associated vocalisations by combining auditory Gestalt perception and acoustic vocalisation analysis. METHODS AND PROCEDURES: We extracted N = 363 (pre-)linguistic vocalisations from home video recordings of an infant later diagnosed with RTT. In a listening experiment, all vocalisations were assessed for (a)typicality by five experts on early human development. Listeners' auditory concepts of (a)typicality were investigated in context of a comprehensive set of acoustic time-, spectral- and/or energy-related higher-order features extracted from the vocalisations. OUTCOMES AND

resultsMore than half of the vocalisations were rated as 'atypical' by at least one listener. Atypicality was mainly related to the auditory attribute 'timbre', and to prosodic, spectral, and voice quality features in the acoustic domain. CONCLUSIONS AND IMPLICATIONS: Knowledge gained in our study shall contribute to the generation of an objective model of early vocalisation atypicality. Such a model might be used for increasing caregivers' and healthcare professionals' sensitivity to identify atypical vocalisation patterns, or even for a probabilistic approach to automatically detect RTT based on early vocalisations.

Indexed as

Auditory PerceptionLanguage DevelopmentLanguage TestsRett SyndromeSpeech AcousticsAcoustic StimulationAudiometry, SpeechEarly DiagnosisFemaleHumansInfantNonverbal CommunicationPsychoacousticsReproducibility of ResultsSocial BehaviorVideotape RecordingAcoustic vocalisation analysisAuditory perceptionEarly vocalisationsPreserved speech variantRett syndromeSpeech-language pathology

Identifiers

PMID29551600
PMCPMC6093280
OpenAlexW2791798663

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.