1
|
Xu S, Zhang H, Fan J, Jiang X, Zhang M, Guan J, Ding H, Zhang Y. Auditory Challenges and Listening Effort in School-Age Children With Autism: Insights From Pupillary Dynamics During Speech-in-Noise Perception. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2024; 67:2410-2453. [PMID: 38861391 DOI: 10.1044/2024_jslhr-23-00553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2024]
Abstract
PURPOSE This study aimed to investigate challenges in speech-in-noise (SiN) processing faced by school-age children with autism spectrum conditions (ASCs) and their impact on listening effort. METHOD Participants, including 23 Mandarin-speaking children with ASCs and 19 age-matched neurotypical (NT) peers, underwent sentence recognition tests in both quiet and noisy conditions, with a speech-shaped steady-state noise masker presented at 0-dB signal-to-noise ratio in the noisy condition. Recognition accuracy rates and task-evoked pupil responses were compared to assess behavioral performance and listening effort during auditory tasks. RESULTS No main effect of group was found on accuracy rates. Instead, significant effects emerged for autistic trait scores, listening conditions, and their interaction, indicating that higher trait scores were associated with poorer performance in noise. Pupillometric data revealed significantly larger and earlier peak dilations, along with more varied pupillary dynamics in the ASC group relative to the NT group, especially under noisy conditions. Importantly, the ASC group's peak dilation in quiet mirrored that of the NT group in noise. However, the ASC group consistently exhibited reduced mean dilations than the NT group. CONCLUSIONS Pupillary responses suggest a different resource allocation pattern in ASCs: An initial sharper and larger dilation may signal an intense, narrowed resource allocation, likely linked to heightened arousal, engagement, and cognitive load, whereas a subsequent faster tail-off may indicate a greater decrease in resource availability and engagement, or a quicker release of arousal and cognitive load. The presence of noise further accentuates this pattern. This highlights the unique SiN processing challenges children with ASCs may face, underscoring the importance of a nuanced, individual-centric approach for interventions and support.
Collapse
Affiliation(s)
- Suyun Xu
- Speech-Language-Hearing Center, School of Foreign Languages, Shanghai Jiao Tong University, China
- National Research Centre for Language and Well-Being, Shanghai, China
| | - Hua Zhang
- Department of Child and Adolescent Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, China
| | - Juan Fan
- Department of Child and Adolescent Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, China
| | - Xiaoming Jiang
- Institute of Linguistics, Shanghai International Studies University, China
| | - Minyue Zhang
- Speech-Language-Hearing Center, School of Foreign Languages, Shanghai Jiao Tong University, China
- National Research Centre for Language and Well-Being, Shanghai, China
| | | | - Hongwei Ding
- Speech-Language-Hearing Center, School of Foreign Languages, Shanghai Jiao Tong University, China
- National Research Centre for Language and Well-Being, Shanghai, China
| | - Yang Zhang
- Department of Speech-Language-Hearing Sciences and Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis
| |
Collapse
|
2
|
Key AP, Thompson EC, Benítez-Barrera C, Feldman JI, Woynaroski T, Picou E, Tharpe AM. Electrophysiological Measures of Listening-in-Noise With and Without Remote Microphone System Use in Autistic and Non-Autistic Youth. Ear Hear 2024; 45:710-720. [PMID: 38273435 PMCID: PMC11014766 DOI: 10.1097/aud.0000000000001465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2024]
Abstract
OBJECTIVES This study examined the neural mechanisms by which remote microphone (RM) systems might lead to improved behavioral performance on listening-in-noise tasks in autistic and non-autistic youth. DESIGN Cortical auditory evoked potentials (CAEPs) were recorded in autistic (n = 25) and non-autistic (n = 22) youth who were matched at the group level on chronological age ( M = 14.21 ± 3.39 years) and biological sex. Potentials were recorded during an active syllable identification task completed in quiet and in multi-talker babble noise with and without the use of an RM system. The effects of noise and RM system use on speech-sound-evoked P1-N1-P2 responses and the associations between the cortical responses and behavioral performance on syllable identification were examined. RESULTS No group differences were observed for behavioral or CAEP measures of speech processing in quiet or in noise. In the combined sample, syllable identification in noise was less accurate and slower than in the quiet condition. The addition of the RM system to the noise condition restored accuracy, but not the response speed, to the levels observed in quiet. The CAEP analyses noted amplitude reductions and latency delays in the noise compared with the quiet condition. The RM system use increased the N1 amplitude as well as reduced and delayed the P2 response relative to the quiet and noise conditions. Exploratory brain-behavior correlations revealed that larger N1 amplitudes in the RM condition were associated with greater behavioral accuracy of syllable identification. Reduced N1 amplitude and accelerated P2 response were associated with shorter syllable identification response times when listening with the RM system. CONCLUSIONS Findings suggest that although listening-in-noise with an RM system might remain effortful, the improved signal to noise ratio facilitates attention to the sensory features of the stimuli and increases speech sound identification accuracy.
Collapse
Affiliation(s)
- Alexandra P. Key
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN
| | - Emily C. Thompson
- Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, TN
| | | | - Jacob I. Feldman
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN
- Frist Center for Autism and Innovation, Vanderbilt University, Nashville, TN
| | - Tiffany Woynaroski
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN
- Frist Center for Autism and Innovation, Vanderbilt University, Nashville, TN
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN
| | - Erin Picou
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN
| | - Anne Marie Tharpe
- Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN
- Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN
- Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, TN
| |
Collapse
|
3
|
Fu Y, Tian M, Chen J, Chen W, Li H. Improvement of symptoms in children with autism by TOMATIS training: a cross-sectional and longitudinal study. Front Behav Neurosci 2024; 18:1357453. [PMID: 38562516 PMCID: PMC10982311 DOI: 10.3389/fnbeh.2024.1357453] [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: 12/18/2023] [Accepted: 03/01/2024] [Indexed: 04/04/2024] Open
Abstract
Introduction Autism spectrum disorder (ASD) is a neurological condition that is marked by deficits in social interaction, difficulty expressing oneself, lack of enthusiasm, and stereotypical conduct. The TOMATIS training method is an effective music therapy for children with ASD for its individually developed programs to improve behavioral deficits. Methods The research employed both longitudinal and crosssectional designs. Results In the cross-sectional study, the experimental group showed significant improvement in symptoms after TOMATIS training compared to the control group of children with ASD. The results validated the effect of TOMATIS treatment for ASD-related deficits, including perceptual-motor, attentional, social, and emotional issues. Discussion ASD's auditory hypersensitivity hampers social information processing, but TOMATIS enhances cochlear frequency selectivity, aiding in capturing relevant auditory stimuli. In addition, the longitudinal study confirmed these findings, which proved TOMATIS training effective in clinically treating ASD. This study focused on audiometric indicators and behavioural improvement, elucidating the mechanisms behind the training's success. Behavioral improvements might stem from TOMATIS' frequency selectivity, reshaping auditory organ-cortical feedback loops to filter interference and focus on valid information.
Collapse
Affiliation(s)
- Yujia Fu
- Department of Psychology, Renmin University of China, Beijing, China
| | - Mei Tian
- Department of Psychology, Renmin University of China, Beijing, China
- Hai Perui Education Technology Co., Ltd, Shanghai, China
| | - Jiaxi Chen
- Department of Psychology, Renmin University of China, Beijing, China
| | - Wenfeng Chen
- Department of Psychology, Renmin University of China, Beijing, China
| | - Huang Li
- Affiliated Haixia Hospital of Huaqiao University, Quanzhou, China
| |
Collapse
|
4
|
Duville MM, Alonso-Valerdi LM, Ibarra-Zarate DI. Improved emotion differentiation under reduced acoustic variability of speech in autism. BMC Med 2024; 22:121. [PMID: 38486293 PMCID: PMC10941423 DOI: 10.1186/s12916-024-03341-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 03/05/2024] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND Socio-emotional impairments are among the diagnostic criteria for autism spectrum disorder (ASD), but the actual knowledge has substantiated both altered and intact emotional prosodies recognition. Here, a Bayesian framework of perception is considered suggesting that the oversampling of sensory evidence would impair perception within highly variable environments. However, reliable hierarchical structures for spectral and temporal cues would foster emotion discrimination by autistics. METHODS Event-related spectral perturbations (ERSP) extracted from electroencephalographic (EEG) data indexed the perception of anger, disgust, fear, happiness, neutral, and sadness prosodies while listening to speech uttered by (a) human or (b) synthesized voices characterized by reduced volatility and variability of acoustic environments. The assessment of mechanisms for perception was extended to the visual domain by analyzing the behavioral accuracy within a non-social task in which dynamics of precision weighting between bottom-up evidence and top-down inferences were emphasized. Eighty children (mean 9.7 years old; standard deviation 1.8) volunteered including 40 autistics. The symptomatology was assessed at the time of the study via the Autism Diagnostic Observation Schedule, Second Edition, and parents' responses on the Autism Spectrum Rating Scales. A mixed within-between analysis of variance was conducted to assess the effects of group (autism versus typical development), voice, emotions, and interaction between factors. A Bayesian analysis was implemented to quantify the evidence in favor of the null hypothesis in case of non-significance. Post hoc comparisons were corrected for multiple testing. RESULTS Autistic children presented impaired emotion differentiation while listening to speech uttered by human voices, which was improved when the acoustic volatility and variability of voices were reduced. Divergent neural patterns were observed from neurotypicals to autistics, emphasizing different mechanisms for perception. Accordingly, behavioral measurements on the visual task were consistent with the over-precision ascribed to the environmental variability (sensory processing) that weakened performance. Unlike autistic children, neurotypicals could differentiate emotions induced by all voices. CONCLUSIONS This study outlines behavioral and neurophysiological mechanisms that underpin responses to sensory variability. Neurobiological insights into the processing of emotional prosodies emphasized the potential of acoustically modified emotional prosodies to improve emotion differentiation by autistics. TRIAL REGISTRATION BioMed Central ISRCTN Registry, ISRCTN18117434. Registered on September 20, 2020.
Collapse
Affiliation(s)
- Mathilde Marie Duville
- Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501 Sur, Col: Tecnológico, Monterrey, N.L, 64700, México.
| | - Luz María Alonso-Valerdi
- Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501 Sur, Col: Tecnológico, Monterrey, N.L, 64700, México
| | - David I Ibarra-Zarate
- Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501 Sur, Col: Tecnológico, Monterrey, N.L, 64700, México
| |
Collapse
|
5
|
Ross LA, Molholm S, Butler JS, Del Bene VA, Brima T, Foxe JJ. Neural correlates of audiovisual narrative speech perception in children and adults on the autism spectrum: A functional magnetic resonance imaging study. Autism Res 2024; 17:280-310. [PMID: 38334251 DOI: 10.1002/aur.3104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 01/19/2024] [Indexed: 02/10/2024]
Abstract
Autistic individuals show substantially reduced benefit from observing visual articulations during audiovisual speech perception, a multisensory integration deficit that is particularly relevant to social communication. This has mostly been studied using simple syllabic or word-level stimuli and it remains unclear how altered lower-level multisensory integration translates to the processing of more complex natural multisensory stimulus environments in autism. Here, functional neuroimaging was used to examine neural correlates of audiovisual gain (AV-gain) in 41 autistic individuals to those of 41 age-matched non-autistic controls when presented with a complex audiovisual narrative. Participants were presented with continuous narration of a story in auditory-alone, visual-alone, and both synchronous and asynchronous audiovisual speech conditions. We hypothesized that previously identified differences in audiovisual speech processing in autism would be characterized by activation differences in brain regions well known to be associated with audiovisual enhancement in neurotypicals. However, our results did not provide evidence for altered processing of auditory alone, visual alone, audiovisual conditions or AV- gain in regions associated with the respective task when comparing activation patterns between groups. Instead, we found that autistic individuals responded with higher activations in mostly frontal regions where the activation to the experimental conditions was below baseline (de-activations) in the control group. These frontal effects were observed in both unisensory and audiovisual conditions, suggesting that these altered activations were not specific to multisensory processing but reflective of more general mechanisms such as an altered disengagement of Default Mode Network processes during the observation of the language stimulus across conditions.
Collapse
Affiliation(s)
- Lars A Ross
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, The Ernest J. Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
- Department of Imaging Sciences, University of Rochester Medical Center, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
- The Cognitive Neurophysiology Laboratory, Departments of Pediatrics and Neuroscience, Albert Einstein College of Medicine & Montefiore Medical Center, Bronx, New York, USA
| | - Sophie Molholm
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, The Ernest J. Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
- The Cognitive Neurophysiology Laboratory, Departments of Pediatrics and Neuroscience, Albert Einstein College of Medicine & Montefiore Medical Center, Bronx, New York, USA
| | - John S Butler
- The Cognitive Neurophysiology Laboratory, Departments of Pediatrics and Neuroscience, Albert Einstein College of Medicine & Montefiore Medical Center, Bronx, New York, USA
- School of Mathematics and Statistics, Technological University Dublin, City Campus, Dublin, Ireland
| | - Victor A Del Bene
- The Cognitive Neurophysiology Laboratory, Departments of Pediatrics and Neuroscience, Albert Einstein College of Medicine & Montefiore Medical Center, Bronx, New York, USA
- Heersink School of Medicine, Department of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Tufikameni Brima
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, The Ernest J. Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
| | - John J Foxe
- The Frederick J. and Marion A. Schindler Cognitive Neurophysiology Laboratory, The Ernest J. Del Monte Institute for Neuroscience, Department of Neuroscience, University of Rochester School of Medicine and Dentistry, Rochester, New York, USA
- The Cognitive Neurophysiology Laboratory, Departments of Pediatrics and Neuroscience, Albert Einstein College of Medicine & Montefiore Medical Center, Bronx, New York, USA
| |
Collapse
|
6
|
McKenna K, Prasad S, Cooper J, King AM, Shahzeidi S, Mittal J, Zalta M, Mittal R, Eshraghi AA. Incidence of Otolaryngological Manifestations in Individuals with Autism Spectrum Disorder: A Special Focus on Auditory Disorders. Audiol Res 2024; 14:35-61. [PMID: 38247561 PMCID: PMC10801499 DOI: 10.3390/audiolres14010005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 12/14/2023] [Accepted: 12/26/2023] [Indexed: 01/23/2024] Open
Abstract
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by stereotyped and repetitive behavior patterns. In addition to neurological and behavioral problems, individuals with ASD commonly experience otolaryngological comorbidities. Individuals with ASD often have auditory disorders including hearing loss and auditory processing disorders such as central auditory processing disorder (CAPD), as well as both chronic and recurrent otitis media. These challenges negatively impact a person's ability to effectively communicate and may further impact their neurological functioning, particularly when not appropriately treated. Individuals diagnosed with ASD also have difficulty sleeping which contributes to increased irritability and may further aggravate the core behavioral symptoms of autism. The individuals with ASD also have a higher rate of sinusitis which contributes to the worsening of the autism behavior phenotype. The high prevalence of otolaryngological comorbidities in individuals with ASD warrants a better collaboration between their various healthcare providers and otolaryngologists with expertise in auditory, sleep, and sinus disorders in pursuit of improving the quality of life of affected individuals and their families/caregivers.
Collapse
Affiliation(s)
- Keelin McKenna
- Hearing Research and Cochlear Implant Laboratory, Department of Otolaryngology, University of Miami Miller School of Medicine, Miami, FL 33136, USA; (K.M.); (S.P.); (J.C.); (A.M.K.); (J.M.); (R.M.)
- Herbert Wertheim College of Medicine, Florida International University, Miami, FL 33199, USA
| | - Soumil Prasad
- Hearing Research and Cochlear Implant Laboratory, Department of Otolaryngology, University of Miami Miller School of Medicine, Miami, FL 33136, USA; (K.M.); (S.P.); (J.C.); (A.M.K.); (J.M.); (R.M.)
| | - Jaimee Cooper
- Hearing Research and Cochlear Implant Laboratory, Department of Otolaryngology, University of Miami Miller School of Medicine, Miami, FL 33136, USA; (K.M.); (S.P.); (J.C.); (A.M.K.); (J.M.); (R.M.)
- School of Medicine, New York Medical College, Valhalla, NY 10595, USA
| | - Ava M. King
- Hearing Research and Cochlear Implant Laboratory, Department of Otolaryngology, University of Miami Miller School of Medicine, Miami, FL 33136, USA; (K.M.); (S.P.); (J.C.); (A.M.K.); (J.M.); (R.M.)
| | | | - Jeenu Mittal
- Hearing Research and Cochlear Implant Laboratory, Department of Otolaryngology, University of Miami Miller School of Medicine, Miami, FL 33136, USA; (K.M.); (S.P.); (J.C.); (A.M.K.); (J.M.); (R.M.)
| | - Max Zalta
- Hearing Research and Cochlear Implant Laboratory, Department of Otolaryngology, University of Miami Miller School of Medicine, Miami, FL 33136, USA; (K.M.); (S.P.); (J.C.); (A.M.K.); (J.M.); (R.M.)
| | - Rahul Mittal
- Hearing Research and Cochlear Implant Laboratory, Department of Otolaryngology, University of Miami Miller School of Medicine, Miami, FL 33136, USA; (K.M.); (S.P.); (J.C.); (A.M.K.); (J.M.); (R.M.)
| | - Adrien A. Eshraghi
- Hearing Research and Cochlear Implant Laboratory, Department of Otolaryngology, University of Miami Miller School of Medicine, Miami, FL 33136, USA; (K.M.); (S.P.); (J.C.); (A.M.K.); (J.M.); (R.M.)
- Department of Neurological Surgery, University of Miami Miller School of Medicine, Miami, FL 33136, USA
- Department of Biomedical Engineering, University of Miami, Coral Gables, FL 33146, USA
- Department of Pediatrics, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| |
Collapse
|
7
|
Hutchins TL, Knox SE, Fletcher EC. Natural language acquisition and gestalt language processing: A critical analysis of their application to autism and speech language therapy . AUTISM & DEVELOPMENTAL LANGUAGE IMPAIRMENTS 2024; 9:23969415241249944. [PMID: 38784430 PMCID: PMC11113044 DOI: 10.1177/23969415241249944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
Background and Aim Recently, there has been a lot of interest surrounding the term gestalt language processor (GLP) which is associated with Natural Language Acquisition (NLA): a protocol intended to support the language development of autistic people. In NLA, delayed echolalia is presumed raw source material that GLPs use to acquire language in a stage-like progression from delayed echolalia to spontaneous speech. The aim of this article is to evaluate NLA in light of relevant literatures to allow scrutiny of NLA claims. Main contributions First, we review the notion of gestalt language and situate it in the broader literature on language styles to update understanding of its significance. We then review the links from gestalt language processing to autism and identify definitional and conceptual problems and clarify the construct 'episodic memory'. We discuss the 'raw material view of delayed echolalia' and identify theoretical and empirical shortcomings. Finally, we review Blanc's language stages and their accompanying assessment and language support recommendations and challenge their validity. Conclusions & Implications The term 'gestalt language processor' is definitionally and conceptually troubled, the assertion that autistic people are GLPs is misleading and unhelpful, and evidence is lacking that GLP represents a legitimate clinical entity. The theoretical basis of NLA lacks empirical support. NLA stages are implausible and their accompanying assessment and support recommendations lack justification. We recommend the use of alternate, individualized, theoretically-sound, evidence-based, neurodiversity-affirming supports that are sensitive and responsive to the heterogeneity that defines autism.
Collapse
Affiliation(s)
- Tiffany L Hutchins
- Communication Sciences & Disorders, University of Vermont, Burlington, VT, USA
| | - Sophie E Knox
- Communication Sciences & Disorders, University of Vermont, Burlington, VT, USA
| | | |
Collapse
|
8
|
Ruiz Callejo D, Boets B. A systematic review on speech-in-noise perception in autism. Neurosci Biobehav Rev 2023; 154:105406. [PMID: 37797728 DOI: 10.1016/j.neubiorev.2023.105406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 09/20/2023] [Accepted: 09/21/2023] [Indexed: 10/07/2023]
Abstract
Individuals with autism spectrum disorder (ASD) exhibit atypical speech-in-noise (SiN) perception, but the scope of these impairments has not been clearly defined. We conducted a systematic review of the behavioural research on SiN perception in ASD, using a comprehensive search strategy across databases (Embase, Pubmed, Web of Science, APA PsycArticles, LLBA, clinicaltrials.gov and PsyArXiv). We withheld 20 studies that generally revealed intact speech perception in stationary noise, while impairments in speech discrimination were found in temporally modulated noise, concurrent speech, and audiovisual speech perception. An association with auditory temporal processing deficits, exacerbated by suboptimal language skills, is shown. Speech-in-speech perception might be further impaired due to deficient top-down processing of speech. Further research is needed to address remaining challenges and gaps in our understanding of these impairments, including the developmental aspects of SiN processing in ASD, and the impact of gender and social attentional orienting on this ability. Our findings have important implications for improving communication in ASD, both in daily interactions and in clinical and educational settings.
Collapse
Affiliation(s)
- Diego Ruiz Callejo
- University Psychiatric Center KU Leuven, Leuven, Belgium; Center for Developmental Psychiatry, Department of Neurosciences, KU Leuven, Leuven, Belgium.
| | - Bart Boets
- University Psychiatric Center KU Leuven, Leuven, Belgium; Center for Developmental Psychiatry, Department of Neurosciences, KU Leuven, Leuven, Belgium; Leuven Autism Research (LauRes), KU Leuven, Leuven, Belgium; Leuven Brain Institute (LBI), KU Leuven, Leuven, Belgium
| |
Collapse
|
9
|
Morrel J, Singapuri K, Landa RJ, Reetzke R. Neural correlates and predictors of speech and language development in infants at elevated likelihood for autism: a systematic review. Front Hum Neurosci 2023; 17:1211676. [PMID: 37662636 PMCID: PMC10469683 DOI: 10.3389/fnhum.2023.1211676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 07/25/2023] [Indexed: 09/05/2023] Open
Abstract
Autism spectrum disorder (ASD) is an increasingly prevalent and heterogeneous neurodevelopmental condition, characterized by social communicative differences, and a combination of repetitive behaviors, focused interests, and sensory sensitivities. Early speech and language delays are characteristic of young autistic children and are one of the first concerns reported by parents; often before their child's second birthday. Elucidating the neural mechanisms underlying these delays has the potential to improve early detection and intervention efforts. To fill this gap, this systematic review aimed to synthesize evidence on early neurobiological correlates and predictors of speech and language development across different neuroimaging modalities in infants with and without a family history of autism [at an elevated (EL infants) and low likelihood (LL infants) for developing autism, respectively]. A comprehensive, systematic review identified 24 peer-reviewed articles published between 2012 and 2023, utilizing structural magnetic resonance imaging (MRI; n = 2), functional MRI (fMRI; n = 4), functional near-infrared spectroscopy (fNIRS; n = 4), and electroencephalography (EEG; n = 14). Three main themes in results emerged: compared to LL infants, EL infants exhibited (1) atypical language-related neural lateralization; (2) alterations in structural and functional connectivity; and (3) mixed profiles of neural sensitivity to speech and non-speech stimuli, with some differences detected as early as 6 weeks of age. These findings suggest that neuroimaging techniques may be sensitive to early indicators of speech and language delays well before overt behavioral delays emerge. Future research should aim to harmonize experimental paradigms both within and across neuroimaging modalities and additionally address the feasibility, acceptability, and scalability of implementing such methodologies in non-academic, community-based settings.
Collapse
Affiliation(s)
- Jessica Morrel
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Kripi Singapuri
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Rebecca J. Landa
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, MD, United States
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Rachel Reetzke
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, MD, United States
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
| |
Collapse
|
10
|
Irwin J, Harwood V, Kleinman D, Baron A, Avery T, Turcios J, Landi N. Neural and Behavioral Differences in Speech Perception for Children With Autism Spectrum Disorders Within an Audiovisual Context. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2023; 66:2390-2403. [PMID: 37390407 PMCID: PMC10468115 DOI: 10.1044/2023_jslhr-22-00661] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 01/30/2023] [Accepted: 03/27/2023] [Indexed: 07/02/2023]
Abstract
PURPOSE Reduced use of visible articulatory information on a speaker's face has been implicated as a possible contributor to language deficits in autism spectrum disorders (ASD). We employ an audiovisual (AV) phonemic restoration paradigm to measure behavioral performance (button press) and event-related potentials (ERPs) of visual speech perception in children with ASD and their neurotypical peers to assess potential neural substrates that contribute to group differences. METHOD Two sets of speech stimuli, /ba/-"/a/" ("/a/" was created from the /ba/ token by a reducing the initial consonant) and /ba/-/pa/, were presented within an auditory oddball paradigm to children aged 6-13 years with ASD (n = 17) and typical development (TD; n = 33) within two conditions. The AV condition contained a fully visible speaking face; the pixelated (PX) condition included a face, but the mouth and jaw were PX, removing all articulatory information. When articulatory features were present for the /ba/-"/a/" contrast, it was expected that the influence of the visual articulators would facilitate a phonemic restoration effect in which "/a/" would be perceived as /ba/. ERPs were recorded during the experiment while children were required to press a button for the deviant sound for both sets of speech contrasts within both conditions. RESULTS Button press data revealed that TD children were more accurate in discriminating between /ba/-"/a/" and /ba/-/pa/ contrasts in the PX condition relative to the ASD group. ERPs in response to the /ba/-/pa/ contrast within both AV and PX conditions differed between children with ASD and TD children (earlier P300 responses for children with ASD). CONCLUSION Children with ASD differ in the underlying neural mechanisms responsible for speech processing compared with TD peers within an AV context.
Collapse
Affiliation(s)
- Julia Irwin
- Department of Psychology, Southern Connecticut State University, New Haven
- Haskins Laboratories, Yale University, New Haven, CT
| | - Vanessa Harwood
- Department of Communicative Disorders, University of Rhode Island, Kingston
| | | | - Alisa Baron
- Department of Communicative Disorders, University of Rhode Island, Kingston
| | | | - Jacqueline Turcios
- Department of Speech-Language Pathology, University of New Haven, West Haven, CT
| | - Nicole Landi
- Haskins Laboratories, Yale University, New Haven, CT
- Department of Psychological Sciences, University of Connecticut, Storrs
| |
Collapse
|
11
|
Cardon G, Cate M, Cordingley S, Bown B. Auditory Brainstem Response in Autistic Children: Implications for Sensory Processing. HEARING, BALANCE AND COMMUNICATION 2023; 21:224-232. [PMID: 38223460 PMCID: PMC10786617 DOI: 10.1080/21695717.2023.2181558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Purpose Autistic individuals frequently experience sensory processing difficulties. Such difficulties can significantly impact important functions and quality of life. We are only beginning to understand the neural mechanisms of atypical sensory processing. However, one established way to measure aspects of auditory function is the auditory brainstem response (ABR). While ABR has been primarily hypothesized thus far as a means of early detection/diagnosis in autism, it has the potential to aid in examining sensory processing in this population. Method Thus, we investigated standard ABR waveform characteristics in age-matched groups of autistic and typically developing children during various stimulus and intensity conditions. We also examined within ear waveform cross correlations and inter-aural cross correlations (IACC) to assess replicability and synchrony of participants' ABRs, which was a novel approach to ABR analysis in this population. Results We observed longer peak latencies (esp. wave III and V) and interpeak latencies in the autism and typically developing groups in different conditions. There were no statistically significant results in cross correlation or IACC. Conclusions These results suggest that brainstem auditory function may differ slightly, but is mostly similar, between autistic and typically developing children. We discuss these findings in terms of their implications for sensory processing and future utility.
Collapse
Affiliation(s)
- Garrett Cardon
- Brigham Young University, Department of Communication Disorders, Provo, UT
| | - Madelyn Cate
- Brigham Young University, Department of Communication Disorders, Provo, UT
| | | | | |
Collapse
|
12
|
Pierce K, Wen TH, Zahiri J, Andreason C, Courchesne E, Barnes CC, Lopez L, Arias SJ, Esquivel A, Cheng A. Level of Attention to Motherese Speech as an Early Marker of Autism Spectrum Disorder. JAMA Netw Open 2023; 6:e2255125. [PMID: 36753277 PMCID: PMC9909502 DOI: 10.1001/jamanetworkopen.2022.55125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 12/19/2022] [Indexed: 02/09/2023] Open
Abstract
Importance Caregivers have long captured the attention of their infants by speaking in motherese, a playful speech style characterized by heightened affect. Reduced attention to motherese in toddlers with autism spectrum disorder (ASD) may be a contributor to downstream language and social challenges and could be diagnostically revealing. Objective To investigate whether attention toward motherese speech can be used as a diagnostic classifier of ASD and is associated with language and social ability. Design, Setting, and Participants This diagnostic study included toddlers aged 12 to 48 months, spanning ASD and non-ASD diagnostic groups, at a research center. Data were collected from February 2018 to April 2021 and analyzed from April 2021 to March 2022. Exposures Gaze-contingent eye-tracking test. Main Outcomes and Measures Using gaze-contingent eye tracking wherein the location of a toddler's fixation triggered a specific movie file, toddlers participated in 1 or more 1-minute eye-tracking tests designed to quantify attention to motherese speech, including motherese vs traffic (ie, noisy vehicles on a highway) and motherese vs techno (ie, abstract shapes with music). Toddlers were also diagnostically and psychometrically evaluated by psychologists. Levels of fixation within motherese and nonmotherese movies and mean number of saccades per second were calculated. Receiver operating characteristic (ROC) curves were used to evaluate optimal fixation cutoff values and associated sensitivity, specificity, positive predictive value (PPV), and negative predictive value. Within the ASD group, toddlers were stratified based on low, middle, or high levels of interest in motherese speech, and associations with social and language abilities were examined. Results A total of 653 toddlers were included (mean [SD] age, 26.45 [8.37] months; 480 males [73.51%]). Unlike toddlers without ASD, who almost uniformly attended to motherese speech with a median level of 82.25% and 80.75% across the 2 tests, among toddlers with ASD, there was a wide range, spanning 0% to 100%. Both the traffic and techno paradigms were effective diagnostic classifiers, with large between-group effect sizes (eg, ASD vs typical development: Cohen d, 1.0 in the techno paradigm). Across both paradigms, a cutoff value of 30% or less fixation on motherese resulted in an area under the ROC curve (AUC) of 0.733 (95% CI, 0.693-0.773) and 0.761 (95% CI, 0.717-0.804), respectively; specificity of 98% (95% CI, 95%-99%) and 96% (95% CI, 92%-98%), respectively; and PPV of 94% (95% CI, 86%-98%). Reflective of heterogeneity and expected subtypes in ASD, sensitivity was lower at 18% (95% CI, 14%-22%) and 29% (95% CI, 24%-34%), respectively. Combining metrics increased the AUC to 0.841 (95% CI, 0.805-0.877). Toddlers with ASD who showed the lowest levels of attention to motherese speech had weaker social and language abilities. Conclusions and Relevance In this diagnostic study, a subset of toddlers showed low levels of attention toward motherese speech. When a cutoff level of 30% or less fixation on motherese speech was used, toddlers in this range were diagnostically classified as having ASD with high accuracy. Insight into which toddlers show unusually low levels of attention to motherese may be beneficial not only for early ASD diagnosis and prognosis but also as a possible therapeutic target.
Collapse
Affiliation(s)
- Karen Pierce
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Teresa H. Wen
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Javad Zahiri
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Charlene Andreason
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Eric Courchesne
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Cynthia C. Barnes
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Linda Lopez
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Steven J. Arias
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Ahtziry Esquivel
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| | - Amanda Cheng
- Autism Center of Excellence, Department of Neurosciences, University of California San Diego, La Jolla
| |
Collapse
|
13
|
O'Brien AM, Perrachione TK, Wisman Weil L, Sanchez Araujo Y, Halverson K, Harris A, Ostrovskaya I, Kjelgaard M, Kenneth Wexler, Tager-Flusberg H, Gabrieli JDE, Qi Z. Altered engagement of the speech motor network is associated with reduced phonological working memory in autism. Neuroimage Clin 2022; 37:103299. [PMID: 36584426 PMCID: PMC9830373 DOI: 10.1016/j.nicl.2022.103299] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 12/13/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022]
Abstract
Nonword repetition, a common clinical measure of phonological working memory, involves component processes of speech perception, working memory, and speech production. Autistic children often show behavioral challenges in nonword repetition, as do many individuals with communication disorders. It is unknown which subprocesses of phonological working memory are vulnerable in autistic individuals, and whether the same brain processes underlie the transdiagnostic difficulty with nonword repetition. We used functional magnetic resonance imaging (fMRI) to investigate the brain bases for nonword repetition challenges in autism. We compared activation during nonword repetition in functional brain networks subserving speech perception, working memory, and speech production between neurotypical and autistic children. Autistic children performed worse than neurotypical children on nonword repetition and had reduced activation in response to increasing phonological working memory load in the supplementary motor area. Multivoxel pattern analysis within the speech production network classified shorter vs longer nonword-repetition trials less accurately for autistic than neurotypical children. These speech production motor-specific differences were not observed in a group of children with reading disability who had similarly reduced nonword repetition behavior. These findings suggest that atypical function in speech production brain regions may contribute to nonword repetition difficulties in autism.
Collapse
Affiliation(s)
- Amanda M O'Brien
- Program in Speech and Hearing Bioscience and Technology, Harvard University, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, USA.
| | - Tyler K Perrachione
- Department of Speech, Language, and Hearing Sciences, Boston University, USA
| | - Lisa Wisman Weil
- Department of Communication Sciences and Disorders, Emerson College, USA
| | | | - Kelly Halverson
- Department of Clinical Psychology, University of Houston, USA
| | - Adrianne Harris
- The Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, USA
| | | | - Margaret Kjelgaard
- Department of Communication Sciences and Disorders, Bridgewater State University, USA
| | - Kenneth Wexler
- Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, USA; Department of Linguistics and Philosophy, Massachusetts Institute of Technology, USA
| | | | - John D E Gabrieli
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, USA; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, USA
| | - Zhenghan Qi
- Department of Communication Sciences and Disorders & Department of Psychology, Northeastern University, USA
| |
Collapse
|
14
|
Alispahic S, Pellicano E, Cutler A, Antoniou M. Auditory perceptual learning in autistic adults. Autism Res 2022; 15:1495-1507. [PMID: 35789543 DOI: 10.1002/aur.2778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 06/20/2022] [Indexed: 11/09/2022]
Abstract
The automatic retuning of phoneme categories to better adapt to the speech of a novel talker has been extensively documented across various (neurotypical) populations, including both adults and children. However, no studies have examined auditory perceptual learning effects in populations atypical in perceptual, social, and language processing for communication, such as populations with autism. Employing a classic lexically-guided perceptual learning paradigm, the present study investigated perceptual learning effects in Australian English autistic and non-autistic adults. The findings revealed that automatic attunement to existing phoneme categories was not activated in the autistic group in the same manner as for non-autistic control subjects. Specifically, autistic adults were able to both successfully discern lexical items and to categorize speech sounds; however, they did not show effects of perceptual retuning to talkers. These findings may have implications for the application of current sensory theories (e.g., Bayesian decision theory) to speech and language processing by autistic individuals. LAY SUMMARY: Lexically guided perceptual learning assists in the disambiguation of speech from a novel talker. The present study established that while Australian English autistic adult listeners were able to successfully discern lexical items and categorize speech sounds in their native language, perceptual flexibility in updating speaker-specific phonemic knowledge when exposed to a novel talker was not available. Implications for speech and language processing by autistic individuals as well as current sensory theories are discussed.
Collapse
Affiliation(s)
- Samra Alispahic
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, New South Wales, Australia
| | - Elizabeth Pellicano
- Department of Educational Studies, Macquarie University, Sydney, New South Wales, Australia
- Department of Clinical, Educational and Health Psychology, University College London, London, United Kindom
| | - Anne Cutler
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, New South Wales, Australia
- Language Comprehension Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- ARC Centre of Excellence for the Dynamics of Language, Australia
| | - Mark Antoniou
- The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Sydney, New South Wales, Australia
| |
Collapse
|