AV-FOS: Transformer-Based Audio-Visual Multimodal Interaction Style Recognition for Children with Autism Using the Revised Family Observation Schedule 3rd Edition (FOS-R-III)

Information Science, Computer Science, Artificial Intelligence, Medicine, Pediatrics, Psychiatry, Clinical Psychology, Medical Imaging,
autism spectrum disorder   challenging behaviors   multimodal learning   self-supervised learning   video understanding   interaction style recognition   clinical observation  

1. Background: Clinical Challenges and Technological Prospects in Behavior Monitoring of Children with Autism Autism Spectrum Disorder (ASD, autism) is a lifelong neurodevelopmental disorder. In recent years, the prevalence of autism in the United States has risen rapidly, with current epidemiological data indicating that one in every 36 children i...

Synaptic Neoteny of Human Cortical Neurons Requires Species-Specific Balancing of SRGAP2-SYNGAP1

Medicine, Neurology, Life Sciences, Cell Biology, Biochemistry,
human-specific genes   synaptic neoteny   SRGAP2   SYNGAP1   autism spectrum disorder  

I. Research Background: Neoteny in Human Brain Development and Neurodevelopmental Disorders One of the remarkable features of human brain development is the slow developmental pace of cortical neurons. Compared to other mammals, especially non-human primates, the developmental process of human cortical neurons can last for several years. This neote...

Identifying Diagnostic Biomarkers for Autism Spectrum Disorder Using the PED Algorithm

Identifying Diagnostic Biomarkers for Autism Spectrum Disorder Using the PED Algorithm

Information Science, Computer Science, Artificial Intelligence, Medicine, Psychiatry, Neurology, Medical Imaging,
autism spectrum disorder   higher-order interaction   PED algorithm   redundancy   synergy  

Identifying Diagnostic Biomarkers for Autism Spectrum Disorder using the PED Algorithm In the field of neuroinformatics, research on Autism Spectrum Disorder (ASD) predominantly focuses on the bidirectional connectivity between brain regions, with fewer studies addressing higher-order interaction anomalies among brain regions. To explore the comple...

Identification of Autism Spectrum Disorder Using Multiple Functional Connectivity-Based Graph Convolutional Network

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Clinical Psychology, Medical Imaging,
autism spectrum disorder   graph convolutional network   functional connectivity   brain network   readout layer  

The title of this paper is “Identification of Autism Spectrum Disorder Using Multiple Functional Connectivity-based Graph Convolutional Network,” published in the journal “Medical & Biological Engineering & Computing,” volume 62, pages 2133-2144, in 2024. This paper proposes a multiple functional connectivity-based graph convolutional network (mfc-...