Responsive Social Smile: A Machine Learning based Multimodal Behavior Assessment Framework towards Early Stage Autism Screening

Pan, Yueran; Cai, Kunjing; Cheng, Ming Shien; Zou, Xiaobing; Li, Ming

doi:10.1109/icpr48806.2021.9412766

Cited by 5 publications

(2 citation statements)

References 27 publications

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“…The process of myelination temporally coincides with progression of ASD and immediately precedes the first appearances of the disorder (18). In addition, it was shown that ongoing myelination is a requirement for long-term consolidation of spatial memory and motor learning in several mouse models (48–50), which suggests abnormal developmental myelination could underlie intellectual disability and motor deficits, which are common comorbidities in ASD. Fortunately, OPCs are the most abundant proliferating cell population in the human brain and are present throughout the lifespan, which makes them suitable therapeutic targets for NDDs.…”

Section: Discussionmentioning

confidence: 99%

Clemastine fumarate enhances myelination and promotes functional recovery in a syndromic ASD mouse model of Pitt-Hopkins Syndrome

Bohlen

Cleary²,

Das

et al. 2022

Preprint

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Pitt-Hopkins syndrome (PTHS) is an autism spectrum disorder (ASD) caused by autosomal dominant mutations in the Transcription Factor 4 gene (TCF4). One pathobiological process caused by Tcf4 mutation is a cell autonomous reduction in oligodendrocytes (OLs) and myelination. In this study, we show that clemastine is effective at restoring myelination defects in a PTHS mouse model. In vitro, clemastine treatment reduced excess oligodendrocyte precursor cells (OPCs) and normalized OL density. In vivo, two-week intraperitoneal administration of clemastine also normalized OPC and OL density in the cortex of Tcf4 mutant mice and appeared to increase the number of axons undergoing myelination, as EM imaging of the corpus callosum showed a significant increase in uncompacted myelin. Importantly, this treatment paradigm resulted in functional rescue by improving electrophysiology and behavior. Together, these results provide preclinical evidence that remyelination therapies may be beneficial in PTHS and potentially other neurodevelopmental disorders characterized by demyelination.

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Section: Discussionmentioning

confidence: 99%

Clemastine fumarate enhances myelination and promotes functional recovery in a syndromic ASD mouse model of Pitt-Hopkins Syndrome

Bohlen

Cleary²,

Das

et al. 2022

Preprint

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“…SVM with combined feature set achieved 92.31% accuracy. Pan et al [27] extracted multimodal behavioral features and deployed to decision tree and achieved 85.20% accuracy. Pavithra et al [28] implemented Indian Scale for Assessment of Autism (ISAA) tool for data collection.…”

Section: Diagnosis Based On Kinetic Features Eye Movements and Other ...mentioning

confidence: 99%

A Systematic Review on Prognosis of Autism Using Machine Learning Techniques

Malviya

Chandra

2022

ECS Trans.

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Quality of life (QoL) and QoL predictors have become crucial in the pandemic. Neurological anomalies are at the highest level of QoL threats. Autism is a multi-system disorder that causes behavioural, neurological, cognitive, and physical differences. Recent studies state that neurological disorders can result in dysfunction of brain or whole nervous system, which may cause other symptoms of Autism. The paper focuses on reviewing various Machine Learning techniques used for diagnosing Autism at an early age with the help of multiple datasets. The study of brain Magnetic Resonance Imaging (MRI) provides astute knowledge of brain structure that helps to study any minor to significant changes inside the brain that have emerged due to the disorder. Early diagnosis leads to a healthy life by getting timely treatment and training. "Early diagnosis of Autism Spectrum Disorder" is an objective and one of the prime goals of health establishments worldwide. The research paper aims to systematically review and find which machine learning algorithms are efficient for prognosis of Autism.

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Analysis of the recognition and expression of emotions by people with ASD: A comparative study

Uma¹,

Sundaram²,

Rakshitha³

et al. 2022

2022 5th International Conference on Contemporary Computing and Informatics (IC3I)

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Responsive Social Smile: A Machine Learning based Multimodal Behavior Assessment Framework towards Early Stage Autism Screening

Cited by 5 publications

References 27 publications

Clemastine fumarate enhances myelination and promotes functional recovery in a syndromic ASD mouse model of Pitt-Hopkins Syndrome

Clemastine fumarate enhances myelination and promotes functional recovery in a syndromic ASD mouse model of Pitt-Hopkins Syndrome

A Systematic Review on Prognosis of Autism Using Machine Learning Techniques

Analysis of the recognition and expression of emotions by people with ASD: A comparative study

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