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Highman C, Overby M, Leitão S, Abbiati C, Velleman S. Update on Identification and Treatment of Infants and Toddlers With Suspected Childhood Apraxia of Speech. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2024; 67:3288-3308. [PMID: 37441847 DOI: 10.1044/2023_jslhr-22-00639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/15/2023]
Abstract
PURPOSE The purpose of this tutorial is to (a) provide an updated review of the literature pertaining to proposed early features of childhood apraxia of speech (CAS), (b) discuss the findings of recent treatment studies of infants and toddlers with suspected CAS (sCAS), and (c) present evidence-based strategies and tools that can be used for the identification of and intervention for infants and toddlers with sCAS or at high risk for the disorder. METHOD Since Davis and Velleman's (2000) seminal work on assessment and intervention in infants and toddlers with sCAS, limited research has guided clinicians in the complex task of identifying and treating early speech motor difficulties prior to a definitive diagnosis of CAS. Following the structure of Davis and Velleman, we explore the proposed early characteristics of CAS with reference to contemporary research. Next, we describe the limited treatment studies that have investigated intervention for infants and toddlers at risk of or suspected of having CAS. Finally, we present practical suggestions for integrating this knowledge into clinical practice. CONCLUSIONS Many of the originally proposed correlates of CAS in infants and toddlers now have research supporting their presence. However, questions remain about the developmental trajectory of the disorder. Although limited in number and restricted by lack of experimental control, emerging treatment studies can help guide clinicians in providing appropriate intervention to infants and toddlers with sCAS who need not wait for a definitive diagnosis to initiate intervention.
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Affiliation(s)
- Chantelle Highman
- Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia
| | - Megan Overby
- Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia
| | - Suze Leitão
- Curtin School of Allied Health, Curtin University, Perth, Western Australia, Australia
| | - Claudia Abbiati
- Department of Communication Sciences and Disorders, University of Vermont, Burlington
| | - Shelley Velleman
- Department of Communication Sciences and Disorders, University of Vermont, Burlington
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Triantafyllopoulos A, Kathan A, Baird A, Christ L, Gebhard A, Gerczuk M, Karas V, Hübner T, Jing X, Liu S, Mallol-Ragolta A, Milling M, Ottl S, Semertzidou A, Rajamani ST, Yan T, Yang Z, Dineley J, Amiriparian S, Bartl-Pokorny KD, Batliner A, Pokorny FB, Schuller BW. HEAR4Health: a blueprint for making computer audition a staple of modern healthcare. Front Digit Health 2023; 5:1196079. [PMID: 37767523 PMCID: PMC10520966 DOI: 10.3389/fdgth.2023.1196079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 09/01/2023] [Indexed: 09/29/2023] Open
Abstract
Recent years have seen a rapid increase in digital medicine research in an attempt to transform traditional healthcare systems to their modern, intelligent, and versatile equivalents that are adequately equipped to tackle contemporary challenges. This has led to a wave of applications that utilise AI technologies; first and foremost in the fields of medical imaging, but also in the use of wearables and other intelligent sensors. In comparison, computer audition can be seen to be lagging behind, at least in terms of commercial interest. Yet, audition has long been a staple assistant for medical practitioners, with the stethoscope being the quintessential sign of doctors around the world. Transforming this traditional technology with the use of AI entails a set of unique challenges. We categorise the advances needed in four key pillars: Hear, corresponding to the cornerstone technologies needed to analyse auditory signals in real-life conditions; Earlier, for the advances needed in computational and data efficiency; Attentively, for accounting to individual differences and handling the longitudinal nature of medical data; and, finally, Responsibly, for ensuring compliance to the ethical standards accorded to the field of medicine. Thus, we provide an overview and perspective of HEAR4Health: the sketch of a modern, ubiquitous sensing system that can bring computer audition on par with other AI technologies in the strive for improved healthcare systems.
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Affiliation(s)
- Andreas Triantafyllopoulos
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Alexander Kathan
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Alice Baird
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Lukas Christ
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Alexander Gebhard
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Maurice Gerczuk
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Vincent Karas
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Tobias Hübner
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Xin Jing
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Shuo Liu
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Adria Mallol-Ragolta
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
- Centre for Interdisciplinary Health Research, University of Augsburg, Augsburg, Germany
| | - Manuel Milling
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Sandra Ottl
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Anastasia Semertzidou
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | | | - Tianhao Yan
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Zijiang Yang
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Judith Dineley
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Shahin Amiriparian
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Katrin D. Bartl-Pokorny
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
- Division of Phoniatrics, Medical University of Graz, Graz, Austria
| | - Anton Batliner
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
| | - Florian B. Pokorny
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
- Division of Phoniatrics, Medical University of Graz, Graz, Austria
- Centre for Interdisciplinary Health Research, University of Augsburg, Augsburg, Germany
| | - Björn W. Schuller
- EIHW – Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
- Centre for Interdisciplinary Health Research, University of Augsburg, Augsburg, Germany
- GLAM – Group on Language, Audio, & Music, Imperial College London, London, United Kingdom
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Marschik PB, Widmann CAA, Lang S, Kulvicius T, Boterberg S, Nielsen-Saines K, Bölte S, Esposito G, Nordahl-Hansen A, Roeyers H, Wörgötter F, Einspieler C, Poustka L, Zhang D. Emerging Verbal Functions in Early Infancy: Lessons from Observational and Computational Approaches on Typical Development and Neurodevelopmental Disorders. ADVANCES IN NEURODEVELOPMENTAL DISORDERS 2022; 6:369-388. [PMID: 36540761 PMCID: PMC9762685 DOI: 10.1007/s41252-022-00300-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
OBJECTIVES Research on typically developing (TD) children and those with neurodevelopmental disorders and genetic syndromes was targeted. Specifically, studies on autism spectrum disorder, Down syndrome, Rett syndrome, fragile X syndrome, cerebral palsy, Angelman syndrome, tuberous sclerosis complex, Williams-Beuren syndrome, Cri-du-chat syndrome, Prader-Willi syndrome, and West syndrome were searched. The objectives are to review observational and computational studies on the emergence of (pre-)babbling vocalisations and outline findings on acoustic characteristics of early verbal functions. METHODS A comprehensive review of the literature was performed including observational and computational studies focusing on spontaneous infant vocalisations at the pre-babbling age of TD children, individuals with genetic or neurodevelopmental disorders. RESULTS While there is substantial knowledge about early vocal development in TD infants, the pre-babbling phase in infants with neurodevelopmental and genetic syndromes is scarcely scrutinised. Related approaches, paradigms, and definitions vary substantially and insights into the onset and characteristics of early verbal functions in most above-mentioned disorders are missing. Most studies focused on acoustic low-level descriptors (e.g. fundamental frequency) which bore limited clinical relevance. This calls for computational approaches to analyse features of infant typical and atypical verbal development. CONCLUSIONS Pre-babbling vocalisations as precursor for future speech-language functions may reveal valuable signs for identifying infants at risk for atypical development. Observational studies should be complemented by computational approaches to enable in-depth understanding of the developing speech-language functions. By disentangling features of typical and atypical early verbal development, computational approaches may support clinical screening and evaluation.
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Affiliation(s)
- Peter B. Marschik
- Child and Adolescent Psychiatry and Psychotherapy, Göttingen, Germany and Leibniz ScienceCampus Primate Cognition, University Medical Center Göttingen, Göttingen, Germany
- iDN - Interdisciplinary Developmental Neuroscience, Division of Phoniatrics, Medical University of Graz, Graz, Austria
| | - Claudius A. A. Widmann
- Child and Adolescent Psychiatry and Psychotherapy, Göttingen, Germany and Leibniz ScienceCampus Primate Cognition, University Medical Center Göttingen, Göttingen, Germany
| | - Sigrun Lang
- Child and Adolescent Psychiatry and Psychotherapy, Göttingen, Germany and Leibniz ScienceCampus Primate Cognition, University Medical Center Göttingen, Göttingen, Germany
| | - Tomas Kulvicius
- Child and Adolescent Psychiatry and Psychotherapy, Göttingen, Germany and Leibniz ScienceCampus Primate Cognition, University Medical Center Göttingen, Göttingen, Germany
| | - Sofie Boterberg
- Research in Developmental Disorders Lab, Department of Experimental Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium
| | - Karin Nielsen-Saines
- Department of Pediatrics, David Geffen UCLA School of Medicine, Los Angeles, CA, USA
| | - Sven Bölte
- Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women’s and Children’s Health, Child and Adolescent Psychiatry, Region Stockholm, Karolinska Institutet & Stockholm Health Care Services, Stockholm, Sweden
- Curtin Autism Research Group, Curtin School of Allied Health, Curtin University, Perth, WA, Austria
| | - Gianluca Esposito
- Affiliative Behavior and Physiology Lab, Department of Psychology and Cognitive Science, University of Trento, Trento, Italy
| | - Anders Nordahl-Hansen
- Department of Education, ICT and Learning, Østfold University College, Halden, Norway
| | - Herbert Roeyers
- Research in Developmental Disorders Lab, Department of Experimental Clinical and Health Psychology, Faculty of Psychology and Educational Sciences, Ghent University, Ghent, Belgium
| | - Florentin Wörgötter
- Third Institute of Physics-Biophysics, Georg-August University Göttingen, Göttingen, Germany
- Bernstein Center for Computational Neuroscience Göttingen, Göttingen, Germany
| | - Christa Einspieler
- iDN - Interdisciplinary Developmental Neuroscience, Division of Phoniatrics, Medical University of Graz, Graz, Austria
| | - Luise Poustka
- Child and Adolescent Psychiatry and Psychotherapy, Göttingen, Germany and Leibniz ScienceCampus Primate Cognition, University Medical Center Göttingen, Göttingen, Germany
| | - Dajie Zhang
- Child and Adolescent Psychiatry and Psychotherapy, Göttingen, Germany and Leibniz ScienceCampus Primate Cognition, University Medical Center Göttingen, Göttingen, Germany
- iDN - Interdisciplinary Developmental Neuroscience, Division of Phoniatrics, Medical University of Graz, Graz, Austria
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