AIMC Topic: Autistic Disorder

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PANDA: Prioritization of autism-genes using network-based deep-learning approach.

Genetic epidemiology Feb 10, 2020
Understanding the genetic background of complex diseases and disorders plays an essential role in the promising precision medicine. The evaluation of candidate genes, however, requires time-consuming and expensive experiments given a large number of ...
Gene Regulatory Networks Genetic Association Studies Autistic Disorder Genome, Human Humans Deep Learning
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Data-Driven Diagnostics and the Potential of Mobile Artificial Intelligence for Digital Therapeutic Phenotyping in Computational Psychiatry.

Biological psychiatry. Cognitive neuroscience and neuroimaging Dec 13, 2019
Data science and digital technologies have the potential to transform diagnostic classification. Digital technologies enable the collection of big data, and advances in machine learning and artificial intelligence enable scalable, rapid, and automate...
Psychiatry Humans Child Artificial Intelligence Autistic Disorder Machine Learning
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Functional connectivity-based classification of autism and control using SVM-RFECV on rs-fMRI data.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Aug 22, 2019
Considering the unsatisfactory classification accuracy of autism due to unsuitable features selected in current studies, a functional connectivity (FC)-based algorithm for classifying autism and control using support vector machine-recursive feature ...
Adolescent Humans Child Female Image Processing, Computer-Assisted Young Adult Support Vector Machine Adult Magnetic Resonance Imaging Male Autistic Disorder Case-Control Studies
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Deep learning of spontaneous arousal fluctuations detects early cholinergic defects across neurodevelopmental mouse models and patients.

Proceedings of the National Academy of Sciences of the United States of America Jul 22, 2019
Neurodevelopmental spectrum disorders like autism (ASD) are diagnosed, on average, beyond age 4 y, after multiple critical periods of brain development close and behavioral intervention becomes less effective. This raises the urgent need for quantita...
Humans Female Animals Male Pupil Arousal Methyl-CpG-Binding Protein 2 Rett Syndrome Disease Models, Animal Protein Serine-Threonine Kinases Acetylcholine Autistic Disorder Deep Learning Cohort Studies Mice
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Real-time analysis of the behaviour of groups of mice via a depth-sensing camera and machine learning.

Nature biomedical engineering May 20, 2019
Preclinical studies of psychiatric disorders use animal models to investigate the impact of environmental factors or genetic mutations on complex traits such as decision-making and social interactions. Here, we introduce a method for the real-time an...
Mutation Video Recording Autistic Disorder Behavior, Animal Disease Models, Animal Nerve Tissue Proteins Mice, Knockout Behavioral Research Social Behavior Microfilament Proteins Machine Learning Phenotype Female Animals Male Mice
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Automated identification for autism severity level: EEG analysis using empirical mode decomposition and second order difference plot.

Behavioural brain research Jan 11, 2019
BACKGROUND: Previous automated EEG-based diagnosis of autism spectrum disorders (ASD) using various nonlinear EEG analysis methods were limited to distinguish only children with ASD from those normally developed without approaching their autistic fea...
Behavior Child Electroencephalography Signal Processing, Computer-Assisted Autistic Disorder Sensitivity and Specificity Male Child, Preschool Humans Neural Networks, Computer Autism Spectrum Disorder Female
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A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms.

International journal of neural systems Dec 13, 2018
Although much research has been undertaken, the spatial patterns, developmental course, and sexual dimorphism of brain structure associated with autism remains enigmatic. One of the difficulties in investigating differences between the sexes in autis...
Support Vector Machine Machine Learning Humans Female Phenotype Magnetic Resonance Imaging Young Adult Databases, Factual Autistic Disorder Adult Male
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Mobile detection of autism through machine learning on home video: A development and prospective validation study.

PLoS medicine Nov 27, 2018
BACKGROUND: The standard approaches to diagnosing autism spectrum disorder (ASD) evaluate between 20 and 100 behaviors and take several hours to complete. This has in part contributed to long wait times for a diagnosis and subsequent delays in access...
Female Reproducibility of Results Male Infant Diagnosis, Computer-Assisted Remote Consultation Adolescent Age Factors Child, Preschool Early Diagnosis Time Factors Predictive Value of Tests Autistic Disorder Child Feasibility Studies Humans Child Behavior Adolescent Behavior Video Recording Machine Learning Prospective Studies
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An accessible and efficient autism screening method for behavioural data and predictive analyses.

Health informatics journal Sep 19, 2018
Autism spectrum disorder is associated with significant healthcare costs, and early diagnosis can substantially reduce these. Unfortunately, waiting times for an autism spectrum disorder diagnosis are lengthy due to the fact that current diagnostic p...
Autistic Disorder Mobile Applications Mass Screening Early Diagnosis Humans Machine Learning
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Predictive connectome subnetwork extraction with anatomical and connectivity priors.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 25, 2018
We present a new method to identify anatomical subnetworks of the human connectome that are optimally predictive of targeted clinical variables, developmental outcomes or disease states. Given a training set of structural or functional brain networks...
Humans Infant, Premature Machine Learning Predictive Value of Tests Connectome Infant, Newborn Anatomic Landmarks Magnetic Resonance Imaging Autistic Disorder
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