Autism Spectrum Disorder – Frost Institute for Data Science & Computing

Objective Measurement of Vocalizations in the Assessment of Autism…

Determination of the severity of autism spectrum disorder is based in part on expert (but subjective) clinician observations during the ADOS-2. Two characteristics of child vocalizations—a smaller number of speech-like sounds per vocalization and higher pitched vocalizations (including cries)—were associated with greater autism symptom severity. Read more “Objective Measurement of Vocalizations in the Assessment of Autism Symptoms in Preschool-Age Children” →

Events

Meet a Data Scientist presents Dr. Shri Narayanan 2/9

The Meet a Data Scientist series is a chance to get up close and personal with top-level data science professionals. Join us for a talk with Dr. Shrikanth “Shri” Narayanan, an interdisciplinary engineer-scientist with a focus on human-centered signal processing and machine intelligence with speech and spoken language processing at its core. Read more “Meet a Data Scientist presents Dr. Shri Narayanan 2/9” →

Meet a Data Scientist presents Shrikanth Narayanan 2/9

The purpose of the Meet a Data Scientist lecture series is to introduce our audience to the people behind the data, their lives, interests, career choices, their work, and passion for how they can use data to solve grand challenges in their respective fields. Join us for a talk with Dr. Shri Narayanan, an interdisciplinary engineer-scientist with a focus on human-centered signal processing and machine intelligence with speech and spoken language processing at its core. Read more “Meet a Data Scientist presents Shrikanth Narayanan 2/9” →

Publications

Objectively Measured Interactions of Preschoolers With and Without Autism

This study objectively measured associations between children’s peer vocal interactions and assessed language abilities in inclusion classrooms for children with autism spectrum disorder (ASD) and their peers. All children benefited from peers talking to them, but children with ASD were less central to classroom speech networks than were typically developing children. Read more “Objectively Measured Interactions of Preschoolers With and Without Autism” →

Publications

Deep Learning Based Multimedia Data Mining for Autism Spectrum…

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and restricted and repetitive patterns of behavior. Autism is estimated to affect 1 in 59 children in the United States and costs roughly $35 billion dollars to the society. Read more “Deep Learning Based Multimedia Data Mining for Autism Spectrum Disorder (ASD) Diagnosis” →

Publications

Developmental Trajectories of Infants with Multiplex Family Risk for…

Autism spectrum disorder (ASD) is a neurodevelopmental disorder associated with different genetic etiologies. Prospective examination of familial-risk infants informs understanding of developmental trajectories preceding ASD diagnosis, potentially improving early detection. Read more “Developmental Trajectories of Infants with Multiplex Family Risk for Autism: A Baby Siblings Research Consortium Study” →

Publications

Predictive Impact of Rare Genomic Copy Number Variations in…

Behavioral assessments remain the gold standard for autism spectrum disorder (ASD) diagnosis, and prospective analysis permits objective and longitudinal assessment for the earliest symptoms. Published estimates of sibling recurrence for ASD range from 6.9 to 19.5%. Read more “Predictive Impact of Rare Genomic Copy Number Variations in Siblings of Individuals with Autism Spectrum Disorders” →

Publications

Sympathetic-Parasympathetic Interaction and Externalizing Problems in Children with Autism…

Children with autism spectrum disorder (ASD) exhibit significant difficulties with emotion regulation and reactivity, which may be linked to underlying psychophysiology. The present study examined associations between autonomic nervous system activity and individual differences in externalizing behavior problems in children with ASD. Read more “Sympathetic-Parasympathetic Interaction and Externalizing Problems in Children with Autism Spectrum Disorder” →

Publications

Categorical Timeline Allocation and Alignment for Diagnostic Head Movement…

Atypical head movement pattern characterization is a potentially important cue for identifying children with autism spectrum disorder. In this paper, we implemented a computational framework for extracting the temporal patterns of head movement and utilizing the imbalance of temporal pattern distribution between diagnostic categories (e.g., children with or without autism spectrum disorder) as potential diagnostic cues. Read more “Categorical Timeline Allocation and Alignment for Diagnostic Head Movement Tracking Feature Analysis” →

Publications

An Early Behavioral Index of ASD from Automated Microanalysis…

Symptoms of ASD may alter the coordination infant-parent interactions, disrupting successful communication and social interactions. Previous research indicated that six-month-old infants with later ASD did showed no reduction in smiling following parental unresponsiveness (the still-face effect). Read more “An Early Behavioral Index of ASD from Automated Microanalysis of Movement Dynamics” →

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