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Sunku Kwon; Yang Bai; Youngwon Kim; Ryan D. Burns; Timothy A. Brusseau; Wonwoo Byun – Measurement in Physical Education and Exercise Science, 2025
This study aimed to assess the agreement in physical activity (PA) estimates from Garmin Vivofit Jr. 3 (VFJ 3) and Fitbit Ace 3 (Ace 3) with a research-grade accelerometer (wGT3X-BT) in children under free-living conditions. Twenty-five children (Girls: 56%, Age: 10.1 ± 2.5 years, BMI: 17.1 ± 2.4 kg/m2) performed daily activities for 7 consecutive…
Descriptors: Physical Activity Level, Children, Validity, Handheld Devices
Hardik Kothare; Vikram Ramanarayanan; Michael Neumann; Jackson Liscombe; Vanessa Richter; Linnea Lampinen; Alison Bai; Cristian Preciado; Katherine Brogan; Carly Demopoulos – Journal of Speech, Language, and Hearing Research, 2025
Purpose: We investigate the extent to which automated audiovisual metrics extracted during an affect production task show statistically significant differences between a cohort of children diagnosed with autism spectrum disorder (ASD) and typically developing controls. Method: Forty children with ASD and 21 neurotypical controls interacted with a…
Descriptors: Children, Autism Spectrum Disorders, Affective Behavior, Affective Objectives
Caroline Spencer; Jennifer Vannest; Jonathan L. Preston; Edwin Maas; Erin Redle Sizemore; Tara McAllister; D. H. Whalen; Thomas Maloney; Suzanne Boyce – Journal of Speech, Language, and Hearing Research, 2023
Purpose: Children with residual speech sound disorders (RSSD) have shown differences in neural function for speech production, as compared to their typical peers; however, information about how these differences may change over time and relative to speech therapy is needed. To address this gap, we used functional magnetic resonance imaging (fMRI)…
Descriptors: Children, Speech Impairments, Biofeedback, Speech Therapy
Xinzhou Tang; Zenghui Ma; Kat SiuChing; Lingzi Xu; Qinyi Liu; Li Yang; Yufeng Wang; Qingjiu Cao; Xue Li; Jing Liu – Journal of Attention Disorders, 2024
Objective: The study involved 17 children with Autism Spectrum Disorder (ASD), 21 with ADHD, 30 with both (ASD + ADHD), and 28 typically developing children (TD). Methods: The amplitude of low-frequency fluctuations (ALFF) was measured as a regional brain function index. Intrinsic functional connectivity (iFC) was also analyzed using the region of…
Descriptors: Brain Hemisphere Functions, Children, Autism Spectrum Disorders, Attention Deficit Hyperactivity Disorder
Joanne Cleland; Robyn McCluskey; Marie Dokovova; Lisa Crampin; Linsay Campbell – International Journal of Language & Communication Disorders, 2025
Background: Ultrasound visual biofeedback (UVBF) has the potential to be useful for the treatment of compensatory errors in speakers with cleft palate ± lip (CP±L), but there is little research on its effectiveness, or on how acceptable families find the technique. This study reports on parents' and children's perspectives on taking part in a…
Descriptors: Biofeedback, Congenital Impairments, Physical Disabilities, Children
Kaja K. Jasinska; Shakhlo Nematova; Henry Brice; Xinyi Yang – Mind, Brain, and Education, 2024
Phonological awareness (PA) is an important predictor and outcome of reading. Yet, little is known about the reciprocal relation between PA and reading across development without consistent reading experience (e.g., as a result of limited access to quality education and late enrolment in school). We tested the hypothesis that variable reading…
Descriptors: Brain Hemisphere Functions, Phonological Awareness, Illiteracy, Rural Areas
Steffie van der Steen; Yannick Hill; Ralf F. A. Cox – Journal of Developmental and Physical Disabilities, 2024
Purpose: Dyadic synchrony is positively associated with social competence. Although children diagnosed with Autism Spectrum Disorder (ASD) and children diagnosed with Down Syndrome (DS) both have trouble with dyadic synchrony, the origin of their difficulties is fundamentally different. In this mixed method study, we investigated differences in…
Descriptors: Parents, Children, Correlation, Social Behavior
Shemaila Saleem; Syed Hamid Habib – Journal of Autism and Developmental Disorders, 2024
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by impaired social interaction, verbal and nonverbal communication, and behaviors or interests. Besides behavioral, psychopharmacological and biomedical interventions there is increasing evidence of non-invasive treatments like neurofeedback (NFB) that can improve brain…
Descriptors: Autism Spectrum Disorders, Children, Adolescents, Biofeedback
Catherine A. Bacos; Michael P. McCreery; Randall Boone – Journal of Special Education Technology, 2024
Recent findings from social attention research suggest direct engagement with others is a necessary condition for the social cognitive development of both autistic children and their typically developing peers. These findings come from studies that have used eye-tracking technology and paradigms for measuring social attention in naturalistic,…
Descriptors: Eye Movements, Biofeedback, Attention, Social Science Research
Findley, Brooke R.; Gasparyan, Diana – Perspectives of the ASHA Special Interest Groups, 2022
Purpose: This study was conducted to explore the effectiveness of speech to text as a form of biofeedback intervention for speech sound production in children with articulation disorders. Method: A multiple-baseline across-participants design was used for this study. Speech-to-text biofeedback was implemented with three children aged 7-9 years who…
Descriptors: Speech Language Pathology, Assistive Technology, Biofeedback, Intervention
Torsten Hammann; Jakob Valic; Gašper Slapnicar; Mitja Luštrek – International Journal of Developmental Disabilities, 2024
Introduction: The preferences of people with profound intellectual and multiple disabilities (PIMD) often remain unfulfilled since it stays challenging to decode their idiosyncratic behavior resulting in a negative impact on their quality of life (QoL). Physiological data (i.e. heart rate (variability) and motion data) might be the missing piece…
Descriptors: Psychological Patterns, Intellectual Disability, Comorbidity, Severe Intellectual Disability
Peterson, Laura; Savarese, Christian; Campbell, Twylah; Ma, Zhigong; Simpson, Kenneth O.; McAllister, Tara – Language, Speech, and Hearing Services in Schools, 2022
Purpose: Although mobile apps are used extensively by speech-language pathologists, evidence for app-based treatments remains limited in quantity and quality. This study investigated the efficacy of app-based visual-acoustic biofeedback relative to nonbiofeedback treatment using a single-case randomization design. Because of COVID-19, all…
Descriptors: Telecommunications, Speech Language Pathology, Children, English
Jonathan L. Preston; Nicole F. Caballero; Megan C. Leece; Dongliang Wang; Benedette M. Herbst; Nina R. Benway – Journal of Speech, Language, and Hearing Research, 2024
Purpose: This study examines how ultrasound biofeedback and intensive treatment distribution affect speech sound generalization during an evidence-based treatment, Speech Motor Chaining, for children with persisting speech errors associated with childhood apraxia of speech (CAS). Method: In a 2 × 2 factorial randomized controlled trial, children…
Descriptors: Randomized Controlled Trials, Biofeedback, Speech Communication, Speech Impairments
Cleland, Joanne; Scobbie, James M.; Roxburgh, Zoe; Heyde, Cornelia; Wrench, Alan – Journal of Speech, Language, and Hearing Research, 2019
Purpose: This study evaluated ultrasound visual biofeedback treatment for teaching new articulations to children with a wide variety of speech sound disorders. It was hypothesized that motor-based intervention incorporating ultrasound would lead to rapid acquisition of a range of target lingual gestures with generalization to untreated words.…
Descriptors: Children, Speech Impairments, Articulation (Speech), Biofeedback
Preston, Jonathan L.; Hitchcock, Elaine R.; Leece, Megan C. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: This study evaluated whether outcomes from treatment, which includes ultrasound visual feedback (UVF), would be more or less effective when combined with auditory perception training for children with residual /[voiced alveolar approximant]/ errors. Method: Children ages 8-16 years with /[voiced alveolar approximant]/ distortions…
Descriptors: Auditory Perception, Biofeedback, Outcomes of Treatment, Speech Therapy