Medicine and Health Sciences Commons^™

Applications Of Unsupervised Machine Learning In Autism Spectrum Disorder Research: A Review, Chelsea Parlett-Pelleriti, Elizabeth Stevens, Dennis R. Dixon, Erik J. Linstead

Engineering Faculty Articles and Research

Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data—both genetic and behavioral—that are collected as part of scientific studies or a part of treatment can provide a deeper, more nuanced insight into both diagnosis and treatment of ASD. This paper reviews 43 papers using unsupervised machine learning in ASD, including k-means clustering, hierarchical clustering, model-based clustering, and self-organizing maps. The aim of this review is to provide a survey of the current uses of …

Unsupervised Machine Learning For Identifying Challenging Behavior Profiles To Explore Cluster-Based Treatment Efficacy In Children With Autism Spectrum Disorder: Retrospective Data Analysis Study, Julie Gardner-Hoag, Marlena N. Novack, Chelsea Parlett-Pelleriti, Elizabeth Stevens, Dennis Dixon, Erik Linstead

Engineering Faculty Articles and Research

Background: Challenging behaviors are prevalent among individuals with autism spectrum disorder; however, research exploring the impact of challenging behaviors on treatment response is lacking.

Objective: The purpose of this study was to identify types of autism spectrum disorder based on engagement in different challenging behaviors and evaluate differences in treatment response between groups.

Methods: Retrospective data on challenging behaviors and treatment progress for 854 children with autism spectrum disorder were analyzed. Participants were clustered based on 8 observed challenging behaviors using k means, and multiple linear regression was performed to test interactions between skill mastery and treatment …

Patterns Of Cilia Gene Dysregulations In Major Psychiatric Disorders, Wedad Alhassen, Siwei Chen, Marquis Vawter, Brianna Kay Robbins, Henry Nguyen, Thant Nyi Myint, Yumiko Saito, Anton Schulmann, Surya M. Nauli, Olivier Civelli, Pierre Baldi, Amal Alachkar

Pharmacy Faculty Articles and Research

Primary cilia function as cells' antennas to detect and transduce external stimuli and play crucial roles in cell signaling and communication. The vast majority of cilia genes that are causally linked with ciliopathies are also associated with neurological deficits, such as cognitive impairments. Yet, the roles of cilia dysfunctions in the pathogenesis of psychiatric disorders have not been studied. Our aim is to identify patterns of cilia gene dysregulation in the four major psychiatric disorders: schizophrenia (SCZ), autism spectrum disorder (ASD), bipolar disorder (BP), and major depressive disorder (MDD). For this purpose, we acquired differentially expressed genes (DEGs) from the …

Interactive Sonification To Assist Children With Autism During Motor Therapeutic Interventions, Franceli L. Cibrian, Judith Ley-Flores, Joseph W. Newbold, Aneesha Singh, Nadia Bianchi-Berthouze, Monica Tentori

Engineering Faculty Articles and Research

Interactive sonification is an effective tool used to guide individuals when practicing movements. Little research has shown the use of interactive sonification in supporting motor therapeutic interventions for children with autism who exhibit motor impairments. The goal of this research is to study if children with autism understand the use of interactive sonification during motor therapeutic interventions, its potential impact of interactive sonification in the development of motor skills in children with autism, and the feasibility of using it in specialized schools for children with autism. We conducted two deployment studies in Mexico using Go-with-the-Flow, a framework to sonify movements …

Circus In Motion: A Multimodal Exergame Supporting Vestibular Therapy For Children With Autism, Oscar Peña, Franceli L. Cibrian, Monica Tentori

Engineering Faculty Articles and Research

Exergames are serious games that involve physical exertion and are thought of as a form of exercise by using novel input models. Exergames are promising in improving the vestibular differences of children with autism but often lack of adaptation mechanisms that adjust the difficulty level of the exergame. In this paper, we present the design and development of Circus in Motion, a multimodal exergame supporting children with autism with the practice of non-locomotor movements. We describe how the data from a 3D depth camera enables the tracking of non-locomotor movements allowing children to naturally interact with the exergame . A …

Searching For Neural Mechanisms Of Social Cognition, Chandler Siemonsma, Cristina Uribe, Louanne Boyd, Aaron Schurger, Deanna Hughes, Tian Lan

Student Scholar Symposium Abstracts and Posters

Social cognition involves the integration and pruning of perceptual information which leads to the formation of an abstract representation, which is also known as the perceptual gist. This study examined 87 differences in visual perception of Mooney face stimuli of differing sizes and the relationship to gist formation in ten individuals with autism compared to neurotypical controls. Parents of both groups completed the Social Responsiveness Scale (SRS-2) to assess social functioning in real-world scenarios.

A Virtual Reality System For Practicing Conversation Skills For Children With Autism, Natalia Stewart Rosenfield, Kathleen Lamkin, Jennifer Re, Kendra Day, Louanne E. Boyd, Erik J. Linstead

Engineering Faculty Articles and Research

We describe a virtual reality environment, Bob’s Fish Shop, which provides a system where users diagnosed with Autism Spectrum Disorder (ASD) can practice social interactions in a safe and controlled environment. A case study is presented which suggests such an environment can provide the opportunity for users to build the skills necessary to carry out a conversation without the fear of negative social consequences present in the physical world. Through the repetition and analysis of these virtual interactions, users can improve social and conversational understanding.

Bendablesound: An Elastic Multisensory Surface Using Touch-Based Interactions To Assist Children With Severe Autism During Music Therapy, Franceli L. Cibrian, Oscar Peña, Deysi Ortega, Monica Tentori

Engineering Faculty Articles and Research

Neurological Music Therapy uses live music to improve the sensorimotor regulation of children with severe autism. However, they often lack musical training and their impairments limit their interactions with musical instruments. In this paper, we present our co-design work that led to the BendableSound prototype: an elastic multisensory surface encouraging users to practice coordination movements when touching a fabric to play sounds. We present the results of a formative study conducted with 18 teachers showing BendableSound was perceived as “usable” and “attractive”. Then, we present a deployment study with 24 children with severe autism showing BendableSound is “easy to use” …

Impairment Of Trkb-Psd-95 Signaling In Angelman Syndrome, Cong Cao, Mengia S. Rioult-Pedotti, Paolo Migani, Crystal J. Yu, Rakesh Tiwari, Keykavous Parang, Mark R. Spaller, Dennis J. Goebel, John Marshall

Pharmacy Faculty Articles and Research

Angelman syndrome (AS) is a neurodevelopment disorder characterized by severe cognitive impairment and a high rate of autism. AS is caused by disrupted neuronal expression of the maternally inherited Ube3A ubiquitin protein ligase, required for the proteasomal degradation of proteins implicated in synaptic plasticity, such as the activity-regulated cytoskeletal-associated protein (Arc/Arg3.1). Mice deficient in maternal Ube3A express elevated levels of Arc in response to synaptic activity, which coincides with severely impaired long-term potentiation (LTP) in the hippocampus and deficits in learning behaviors. In this study, we sought to test whether elevated levels of Arc interfere with brain-derived neurotrophic factor (BDNF) …

Thinking Outside Of The Assessment Box: Assessing Social Communicative Functioning In Students With Asd, Janet L. Dodd

Communication Sciences and Disorders Faculty Articles and Research

The assessment of a student suspected of an autism spectrum disorder (ASD) diagnosis requires the integration of information collected by a variety of professionals across various domains of functioning. One of the core deficits of students with ASD is a deficit related to social communicative competence (SCC). SCC requires the integration of language, social cognition, and higher order executive functions (Coggins, Olswang, Carmichael Olsson, & Timler, 2003) This article will propose an assessment model of social communicative functioning that was developed based on the SCC framework of Coggins and colleagues as a component of the Comprehensive Multidisciplinary Assessment Protocols for …