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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.
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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
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Matsuba ESM, Prieve BA, Cary E, Pacheco D, Madrid A, McKernan E, Kaplan-Kahn E, Russo N. A Preliminary Study Characterizing Subcortical and Cortical Auditory Processing and Their Relation to Autistic Traits and Sensory Features. J Autism Dev Disord 2024; 54:75-92. [PMID: 36227444 PMCID: PMC9559145 DOI: 10.1007/s10803-022-05773-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/21/2022] [Indexed: 11/23/2022]
Abstract
This study characterizes the subcortical auditory brainstem response (speech-ABR) and cortical auditory processing (P1 and Mismatch Negativity; MMN) to speech sounds and their relationship to autistic traits and sensory features within the same group of autistic children (n = 10) matched on age and non-verbal IQ to their typically developing (TD) peers (n = 21). No speech-ABR differences were noted, but autistic individuals had larger P1 and faster MMN responses. Correlations revealed that larger P1 amplitudes and MMN responses were associated with greater autistic traits and more sensory features. These findings highlight the complexity of the auditory system and its relationships to behaviours in autism, while also emphasizing the importance of measurement and developmental matching.
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Affiliation(s)
- Erin S. M. Matsuba
- Department of Psychology, Syracuse University, 430 Huntington Hall, Syracuse, NY 13079 USA
| | - Beth A. Prieve
- Department of Communication Sciences and Disorders, Syracuse University, 1200 Skytop Road, Syracuse, NY 13079 USA
| | - Emily Cary
- Department of Psychology, Syracuse University, 430 Huntington Hall, Syracuse, NY 13079 USA
| | - Devon Pacheco
- Department of Communication Sciences and Disorders, Syracuse University, 1200 Skytop Road, Syracuse, NY 13079 USA
| | - Angela Madrid
- Department of Communication Sciences and Disorders, Syracuse University, 1200 Skytop Road, Syracuse, NY 13079 USA
| | - Elizabeth McKernan
- Department of Psychology, Syracuse University, 430 Huntington Hall, Syracuse, NY 13079 USA
| | - Elizabeth Kaplan-Kahn
- Department of Psychology, Syracuse University, 430 Huntington Hall, Syracuse, NY 13079 USA
| | - Natalie Russo
- Department of Psychology, Syracuse University, 430 Huntington Hall, Syracuse, NY 13079 USA
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3
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Ribas-Prats T, Cordero G, Lip-Sosa DL, Arenillas-Alcón S, Costa-Faidella J, Gómez-Roig MD, Escera C. Developmental Trajectory of the Frequency-Following Response During the First 6 Months of Life. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2023; 66:4785-4800. [PMID: 37944057 DOI: 10.1044/2023_jslhr-23-00104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2023]
Abstract
PURPOSE The aim of the present study is to characterize the maturational changes during the first 6 months of life in the neural encoding of two speech sound features relevant for early language acquisition: the stimulus fundamental frequency (fo), related to stimulus pitch, and the vowel formant composition, particularly F1. The frequency-following response (FFR) was used as a snapshot into the neural encoding of these two stimulus attributes. METHOD FFRs to a consonant-vowel stimulus /da/ were retrieved from electroencephalographic recordings in a sample of 80 healthy infants (45 at birth and 35 at the age of 1 month). Thirty-two infants (16 recorded at birth and 16 recorded at 1 month) returned for a second recording at 6 months of age. RESULTS Stimulus fo and F1 encoding showed improvements from birth to 6 months of age. Most remarkably, a significant improvement in the F1 neural encoding was observed during the first month of life. CONCLUSION Our results highlight the rapid and sustained maturation of the basic neural machinery necessary for the phoneme discrimination ability during the first 6 months of age.
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Affiliation(s)
- Teresa Ribas-Prats
- Brainlab - Cognitive Neuroscience Research Group, Department of Clinical Psychology and Psychobiology, University of Barcelona, Spain
- Institute of Neurosciences, University of Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Gaël Cordero
- Brainlab - Cognitive Neuroscience Research Group, Department of Clinical Psychology and Psychobiology, University of Barcelona, Spain
- Institute of Neurosciences, University of Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Diana Lucia Lip-Sosa
- Institut de Recerca Sant Joan de Déu, Barcelona, Spain
- BCNatal - Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Sant Joan de Déu and Hospital Clínic), University of Barcelona, Spain
| | - Sonia Arenillas-Alcón
- Brainlab - Cognitive Neuroscience Research Group, Department of Clinical Psychology and Psychobiology, University of Barcelona, Spain
- Institute of Neurosciences, University of Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - Jordi Costa-Faidella
- Brainlab - Cognitive Neuroscience Research Group, Department of Clinical Psychology and Psychobiology, University of Barcelona, Spain
- Institute of Neurosciences, University of Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, Barcelona, Spain
| | - María Dolores Gómez-Roig
- Institut de Recerca Sant Joan de Déu, Barcelona, Spain
- BCNatal - Barcelona Center for Maternal-Fetal and Neonatal Medicine (Hospital Sant Joan de Déu and Hospital Clínic), University of Barcelona, Spain
| | - Carles Escera
- Brainlab - Cognitive Neuroscience Research Group, Department of Clinical Psychology and Psychobiology, University of Barcelona, Spain
- Institute of Neurosciences, University of Barcelona, Spain
- Institut de Recerca Sant Joan de Déu, Barcelona, Spain
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4
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Gonçalves AM, Monteiro P. Autism Spectrum Disorder and auditory sensory alterations: a systematic review on the integrity of cognitive and neuronal functions related to auditory processing. J Neural Transm (Vienna) 2023; 130:325-408. [PMID: 36914900 PMCID: PMC10033482 DOI: 10.1007/s00702-023-02595-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 01/17/2023] [Indexed: 03/15/2023]
Abstract
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition with a wide spectrum of symptoms, mainly characterized by social, communication, and cognitive impairments. Latest diagnostic criteria according to DSM-5 (Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, 2013) now include sensory issues among the four restricted/repetitive behavior features defined as "hyper- or hypo-reactivity to sensory input or unusual interest in sensory aspects of environment". Here, we review auditory sensory alterations in patients with ASD. Considering the updated diagnostic criteria for ASD, we examined research evidence (2015-2022) of the integrity of the cognitive function in auditory-related tasks, the integrity of the peripheral auditory system, and the integrity of the central nervous system in patients diagnosed with ASD. Taking into account the different approaches and experimental study designs, we reappraise the knowledge on auditory sensory alterations and reflect on how these might be linked with behavior symptomatology in ASD.
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Affiliation(s)
- Ana Margarida Gonçalves
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal
- ICVS/3B's-PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal
| | - Patricia Monteiro
- Life and Health Sciences Research Institute, School of Medicine, University of Minho, Campus de Gualtar, 4710-057, Braga, Portugal.
- ICVS/3B's-PT Government Associate Laboratory, 4710-057, Braga/Guimarães, Portugal.
- Experimental Biology Unit, Department of Biomedicine, Faculty of Medicine, University of Porto, Porto, Portugal.
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5
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de Carvalho Borges B, Meng X, Long P, Kanold PO, Corfas G. Loss of oligodendrocyte ErbB receptor signaling leads to hypomyelination, reduced density of parvalbumin-expressing interneurons, and inhibitory function in the auditory cortex. Glia 2023; 71:187-204. [PMID: 36052476 PMCID: PMC9771935 DOI: 10.1002/glia.24266] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 08/18/2022] [Accepted: 08/19/2022] [Indexed: 12/24/2022]
Abstract
For a long time, myelin was thought to be restricted to excitatory neurons, and studies on dysmyelination focused primarily on excitatory cells. Recent evidence showed that axons of inhibitory neurons in the neocortex are also myelinated, but the role of myelin on inhibitory circuits remains unknown. Here we studied the impact of mild hypomyelination on both excitatory and inhibitory connectivity in the primary auditory cortex (A1) with well-characterized mouse models of hypomyelination due to loss of oligodendrocyte ErbB receptor signaling. Using laser-scanning photostimulation, we found that mice with mild hypomyelination have reduced functional inhibitory connections to A1 L2/3 neurons without changes in excitatory connections, resulting in altered excitatory/inhibitory balance. These effects are not associated with altered expression of GABAergic and glutamatergic synaptic components, but with reduced density of parvalbumin-positive (PV+ ) neurons, axons, and synaptic terminals, which reflect reduced PV expression by interneurons rather than PV+ neuronal loss. While immunostaining shows that hypomyelination occurs in both PV+ and PV- axons, there is a strong correlation between MBP and PV expression, suggesting that myelination influences PV expression. Together, the results indicate that mild hypomyelination impacts A1 neuronal networks, reducing inhibitory activity, and shifting networks towards excitation.
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Affiliation(s)
- Beatriz de Carvalho Borges
- Kresge Hearing Research Institute - Department of Otolaryngology Head and Neck Surgery, University of Michigan, Ann Arbor, MI
| | - Xiangying Meng
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205,Department of Biology, University of Maryland, College Park, MD 20742
| | - Patrick Long
- Kresge Hearing Research Institute - Department of Otolaryngology Head and Neck Surgery, University of Michigan, Ann Arbor, MI
| | - Patrick Oliver Kanold
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205,Department of Biology, University of Maryland, College Park, MD 20742
| | - Gabriel Corfas
- Kresge Hearing Research Institute - Department of Otolaryngology Head and Neck Surgery, University of Michigan, Ann Arbor, MI
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6
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Jeng FC, Jeng YS. Implementation of Machine Learning on Human Frequency-Following Responses: A Tutorial. Semin Hear 2022; 43:251-274. [PMID: 36313046 PMCID: PMC9605809 DOI: 10.1055/s-0042-1756219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
The frequency-following response (FFR) provides enriched information on how acoustic stimuli are processed in the human brain. Based on recent studies, machine learning techniques have demonstrated great utility in modeling human FFRs. This tutorial focuses on the fundamental principles, algorithmic designs, and custom implementations of several supervised models (linear regression, logistic regression, k -nearest neighbors, support vector machines) and an unsupervised model ( k -means clustering). Other useful machine learning tools (Markov chains, dimensionality reduction, principal components analysis, nonnegative matrix factorization, and neural networks) are discussed as well. Each model's applicability and its pros and cons are explained. The choice of a suitable model is highly dependent on the research question, FFR recordings, target variables, extracted features, and their data types. To promote understanding, an example project implemented in Python is provided, which demonstrates practical usage of several of the discussed models on a sample dataset of six FFR features and a target response label.
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Affiliation(s)
- Fuh-Cherng Jeng
- Communication Sciences and Disorders, Ohio University, Athens, Ohio
| | - Yu-Shiang Jeng
- Computer Science and Engineering, Ohio State University, Columbus, Ohio
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Emmons KA, Lee AKC, Estes A, Dager S, Larson E, McCloy DR, St. John T, Lau BK. Auditory Attention Deployment in Young Adults with Autism Spectrum Disorder. J Autism Dev Disord 2022; 52:1752-1761. [PMID: 34013478 PMCID: PMC8860962 DOI: 10.1007/s10803-021-05076-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2021] [Indexed: 10/21/2022]
Abstract
Difficulty listening in noisy environments is a common complaint of individuals with autism spectrum disorder (ASD). However, the mechanisms underlying such auditory processing challenges are unknown. This preliminary study investigated auditory attention deployment in adults with ASD. Participants were instructed to maintain or switch attention between two simultaneous speech streams in three conditions: location (co-located versus ± 30° separation), voice (same voice versus male-female contrast), and both cues together. Results showed that individuals with ASD can selectively direct attention using location or voice cues, but performance was best when both cues were present. In comparison to neurotypical adults, overall performance was less accurate across all conditions. These findings warrant further investigation into auditory attention deployment differences in individuals with ASD.
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Affiliation(s)
| | - Adrian KC Lee
- Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA,Institute for Learning and Brain Sciences, University of Washington, Box 357988, Seattle, WA 98195, USA
| | - Annette Estes
- UW Autism Center, University of Washington, Seattle, WA, USA,Department of Speech and Hearing Sciences, University of Washington, Seattle, WA, USA
| | - Stephen Dager
- Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA
| | - Eric Larson
- Institute for Learning and Brain Sciences, University of Washington, Box 357988, Seattle, WA 98195, USA
| | - Daniel R. McCloy
- Institute for Learning and Brain Sciences, University of Washington, Box 357988, Seattle, WA 98195, USA
| | - Tanya St. John
- UW Autism Center, University of Washington, Seattle, WA, USA
| | - Bonnie K. Lau
- Institute for Learning and Brain Sciences, University of Washington, Box 357988, Seattle, WA 98195, USA,Department of Otolaryngology—Head and Neck Surgery, University of Washington School of Medicine, Seattle, WA, USA
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8
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Impaired Subcortical Processing of Amplitude-Modulated Tones in Mice Deficient for Cacna2d3, a Risk Gene for Autism Spectrum Disorders in Humans. eNeuro 2022; 9:ENEURO.0118-22.2022. [PMID: 35410870 PMCID: PMC9034753 DOI: 10.1523/eneuro.0118-22.2022] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Accepted: 03/21/2022] [Indexed: 12/18/2022] Open
Abstract
Temporal processing of complex sounds is a fundamental and complex task in hearing and a prerequisite for processing and understanding vocalization, speech, and prosody. Here, we studied response properties of neurons in the inferior colliculus (IC) in mice lacking Cacna2d3, a risk gene for autism spectrum disorders (ASDs). The α2δ3 auxiliary Ca2+ channel subunit encoded by Cacna2d3 is essential for proper function of glutamatergic synapses in the auditory brainstem. Recent evidence has shown that much of auditory feature extraction is performed in the auditory brainstem and IC, including processing of amplitude modulation (AM). We determined both spectral and temporal properties of single- and multi-unit responses in the IC of anesthetized mice. IC units of α2δ3−/− mice showed normal tuning properties yet increased spontaneous rates compared with α2δ3+/+. When stimulated with AM tones, α2δ3−/− units exhibited less precise temporal coding and reduced evoked rates to higher modulation frequencies (fm). Whereas first spike latencies (FSLs) were increased for only few modulation frequencies, population peak latencies were increased for fm ranging from 20 to 100 Hz in α2δ3−/− IC units. The loss of precision of temporal coding with increasing fm from 70 to 160 Hz was characterized using a normalized offset-corrected (Pearson-like) correlation coefficient, which appeared more appropriate than the metrics of vector strength. The processing deficits of AM sounds analyzed at the level of the IC indicate that α2δ3−/− mice exhibit a subcortical auditory processing disorder (APD). Similar deficits may be present in other mouse models for ASDs.
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9
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Seif A, Shea C, Schmid S, Stevenson RA. A Systematic Review of Brainstem Contributions to Autism Spectrum Disorder. Front Integr Neurosci 2021; 15:760116. [PMID: 34790102 PMCID: PMC8591260 DOI: 10.3389/fnint.2021.760116] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 09/30/2021] [Indexed: 02/05/2023] Open
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects one in 66 children in Canada. The contributions of changes in the cortex and cerebellum to autism have been studied for decades. However, our understanding of brainstem contributions has only started to emerge more recently. Disruptions of sensory processing, startle response, sensory filtering, sensorimotor gating, multisensory integration and sleep are all features of ASD and are processes in which the brainstem is involved. In addition, preliminary research into brainstem contribution emphasizes the importance of the developmental timeline rather than just the mature brainstem. Therefore, the purpose of this systematic review is to compile histological, behavioral, neuroimaging, and electrophysiological evidence from human and animal studies about brainstem contributions and their functional implications in autism. Moreover, due to the developmental nature of autism, the review pays attention to the atypical brainstem development and compares findings based on age. Overall, there is evidence of an important role of brainstem disruptions in ASD, but there is still the need to examine the brainstem across the life span, from infancy to adulthood which could lead the way for early diagnosis and possibly treatment of ASD.
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Affiliation(s)
- Ala Seif
- Brain and Mind Institute, University of Western Ontario, London, ON, Canada.,Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada.,Department of Psychology, University of Western Ontario, London, ON, Canada
| | - Carly Shea
- Brain and Mind Institute, University of Western Ontario, London, ON, Canada.,Department of Psychology, University of Western Ontario, London, ON, Canada
| | - Susanne Schmid
- Brain and Mind Institute, University of Western Ontario, London, ON, Canada.,Department of Anatomy and Cell Biology, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada.,Department of Psychology, University of Western Ontario, London, ON, Canada
| | - Ryan A Stevenson
- Brain and Mind Institute, University of Western Ontario, London, ON, Canada.,Department of Psychology, University of Western Ontario, London, ON, Canada
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Madrid AM, Walker KA, Smith SB, Hood LJ, Prieve BA. Relationships between click auditory brainstem response and speech frequency following response with development in infants born preterm. Hear Res 2021; 407:108277. [PMID: 34091212 DOI: 10.1016/j.heares.2021.108277] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 04/20/2021] [Accepted: 05/10/2021] [Indexed: 10/21/2022]
Abstract
The speech evoked frequency following response (sFFR) is used to study relationships between neural processing and functional aspects of speech and language that are not captured by click or toneburst evoked auditory brainstem responses (ABR). The sFFR is delayed, deviant, or weak in school age children having a variety of disorders, including autism, dyslexia, reading and language disorders, in relation to their typically developing peers. Much less is known about the developmental characteristics of sFFR, especially in preterm infants, who are at risk of having language delays. In term neonates, phase locking and spectral representation of the fundamental frequency is developed in the early days of life. Spectral representation of higher harmonics and latencies associated with transient portions of the stimulus are still developing in term infants through at least 10 months of age. The goal of this research was to determine whether sFFR could be measured in preterm infants and to characterize its developmental trajectory in the time and frequency domain. Click ABR and sFFR were measured in 28 preterm infants at ages 33 to 64 weeks gestational age. The sFFR could be measured in the majority of infants at 33 weeks gestational age, and the detectability of all sFFR waves was 100% by 64 weeks gestational age. The latency of all waves associated with the transient portion of the response (waves V, A, and O), and most waves (waves D and E) associated with the quasi-steady state decreased with increasing age. The interpeak wave A-O latency did not change with age, indicating that these waves share a neural generator, or the neural generators are developing at the same rate. The spectral amplitude of F0 and the lower frequencies of the first formant increased with age, but that for higher frequencies of the first formant and higher harmonics did not. The results suggest that the sFFR can be reliably recorded in preterm infants, including those cared for in the neonatal intensive care unit. These findings support that in preterm infants, F0 amplitude continues to develop within the first 6 months of life and develops before efficient representation of higher frequency harmonics. Further research is needed to determine if the sFFR in preterm infants is predictive of long-term language or learning disorders.
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Affiliation(s)
- Angela M Madrid
- Department of Communication Sciences and Disorders, Syracuse University, 621 Skytop Suite 1200, Syracuse, NY 13244, USA
| | - Kerry A Walker
- Department of Communication Sciences and Disorders, Syracuse University, 621 Skytop Suite 1200, Syracuse, NY 13244, USA
| | - Spencer B Smith
- Department of Speech, Language, and Hearing Sciences, University of Texas at Austin, 2504A Whitis Avenue Stop A1100, Austin, TX 78712, USA
| | - Linda J Hood
- Hearing and Speech Sciences. Vanderbilt University Medical Center, 1215 21(st) Avenue South, Medical Center East, 8310, Nashville, TN 37232, USA
| | - Beth A Prieve
- Department of Communication Sciences and Disorders, Syracuse University, 621 Skytop Suite 1200, Syracuse, NY 13244, USA.
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