AIMC Topic: Autism Spectrum Disorder

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Autism spectrum disorder diagnosis with EEG signals using time series maps of brain functional connectivity and a combined CNN-LSTM model.

Computer methods and programs in biomedicine Apr 24, 2024
BACKGROUND AND OBJECTIVE: People with autism spectrum disorder (ASD) often have cognitive impairments. Effective connectivity between different areas of the brain is essential for normal cognition. Electroencephalography (EEG) has been widely used in...
Signal Processing, Computer-Assisted Child Brain Mapping Electroencephalography Humans Algorithms Neural Networks, Computer Autism Spectrum Disorder Brain Female Male Adolescent
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Early identification of autism spectrum disorder based on machine learning with eye-tracking data.

Journal of affective disorders Apr 12, 2024
BACKGROUND: Early identification of autism spectrum disorder (ASD) improves long-term outcomes, yet significant diagnostic delays persist.
Humans Machine Learning Social Cognition Retrospective Studies Algorithms Child Eye-Tracking Technology Female Prospective Studies Support Vector Machine Eye Movements Male Autism Spectrum Disorder Early Diagnosis Child, Preschool
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BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping.

NeuroImage Apr 1, 2024
Converging evidence increasingly suggests that psychiatric disorders, such as major depressive disorder (MDD) and autism spectrum disorder (ASD), are not unitary diseases, but rather heterogeneous syndromes that involve diverse, co-occurring symptoms...
Mental Disorders Autism Spectrum Disorder Brain Humans Neural Networks, Computer Male Depressive Disorder, Major Magnetic Resonance Imaging Nerve Net Female Young Adult Adult
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Graph Node Classification to Predict Autism Risk in Genes.

Genes Apr 1, 2024
This study explores the genetic risk associations with autism spectrum disorder (ASD) using graph neural networks (GNNs), leveraging the Sfari dataset and protein interaction network (PIN) data. We built a gene network with genes as nodes, chromosome...
Humans Neural Networks, Computer Genetic Predisposition to Disease Autistic Disorder Autism Spectrum Disorder Protein Interaction Maps Gene Regulatory Networks
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Identification of autism spectrum disorder using multiple functional connectivity-based graph convolutional network.

Medical & biological engineering & computing Mar 8, 2024
Presently, the combination of graph convolutional networks (GCN) with resting-state functional magnetic resonance imaging (rs-fMRI) data is a promising approach for early diagnosis of autism spectrum disorder (ASD). However, the prevalent approach in...
Brain Mapping Child Image Processing, Computer-Assisted Magnetic Resonance Imaging Autism Spectrum Disorder Humans Male Brain Young Adult Neural Networks, Computer Adolescent Female Adult
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Assisted Robots in Therapies for Children with Autism in Early Childhood.

Sensors (Basel, Switzerland) Feb 26, 2024
Children with autism spectrum disorder (ASD) have deficits that affect their social relationships, communication, and flexibility in reasoning. There are different types of treatment (pharmacological, educational, psychological, and rehabilitative). ...
Humans Child Autism Spectrum Disorder Robotics Child, Preschool Autistic Disorder
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Detecting Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder Using Multimodal Time-Frequency Analysis with Machine Learning Using the Electroretinogram from Two Flash Strengths.

Journal of autism and developmental disorders Feb 23, 2024
PURPOSE: Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) are conditions that similarly alter cognitive functioning ability and challenge the social interaction, attention, and communication skills of affected indivi...
Female Humans Young Adult Retina Male Machine Learning Attention Deficit Disorder with Hyperactivity Photic Stimulation Adult Adolescent Autism Spectrum Disorder Electroretinography Child
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Diagnostic machine learning applications on clinical populations using functional near infrared spectroscopy: a review.

Reviews in the neurosciences Feb 5, 2024
Functional near-infrared spectroscopy (fNIRS) and its interaction with machine learning (ML) is a popular research topic for the diagnostic classification of clinical disorders due to the lack of robust and objective biomarkers. This review provides ...
Humans Machine Learning Mental Disorders Support Vector Machine Biomarkers Autism Spectrum Disorder Spectroscopy, Near-Infrared
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Deep-Learning-Based Analysis Reveals a Social Behavior Deficit in Mice Exposed Prenatally to Nicotine.

Cells Feb 1, 2024
Cigarette smoking during pregnancy is known to be associated with the incidence of attention-deficit/hyperactive disorder (ADHD). Recent developments in deep learning algorithms enable us to assess the behavioral phenotypes of animal models without c...
Nicotine Social Behavior Attention Deficit Disorder with Hyperactivity Animals Deep Learning Mice Autism Spectrum Disorder Pregnancy Female
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Multiple Classification of Brain MRI Autism Spectrum Disorder by Age and Gender Using Deep Learning.

Journal of medical systems Jan 22, 2024
The fact that the rapid and definitive diagnosis of autism cannot be made today and that autism cannot be treated provides an impetus to look into novel technological solutions. To contribute to the resolution of this problem through multiple classif...
Deep Learning Humans Magnetic Resonance Imaging Autism Spectrum Disorder Neuroimaging Brain
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