Multichannel deep attention neural networks for the classification of autism spectrum disorder using neuroimaging and personal characteristic data
Autism spectrum disorder (ASD) is a developmental disorder that impacts more than 1.6% of
children aged 8 across the United States. It is characterized by impairments in social …
children aged 8 across the United States. It is characterized by impairments in social …
Beyond words: an investigation of fine motor skills and the verbal communication spectrum in autism
M Simarro Gonzalez, G Ni, V Lam… - Frontiers in …, 2024 - frontiersin.org
Introduction This study investigated the associations between fine motor skills and
expressive verbal abilities in a group of 97 autistic participants (age 8-17, mean= 12.41) and …
expressive verbal abilities in a group of 97 autistic participants (age 8-17, mean= 12.41) and …
Reorganization of functionally connected brain subnetworks in high‐functioning autism
Previous functional connectivity studies have found both hypo‐and hyper‐connectivity in
brains of individuals having autism spectrum disorder (ASD). Here we studied abnormalities …
brains of individuals having autism spectrum disorder (ASD). Here we studied abnormalities …
[HTML][HTML] A personalized classification of behavioral severity of autism spectrum disorder using a comprehensive machine learning framework
Abstract Autism Spectrum Disorder (ASD) is characterized as a neurodevelopmental
disorder with a heterogeneous nature, influenced by genetics and exhibiting diverse clinical …
disorder with a heterogeneous nature, influenced by genetics and exhibiting diverse clinical …
[HTML][HTML] Functional connectivity classification of autism identifies highly predictive brain features but falls short of biomarker standards
Objectives Autism spectrum disorders (ASD) are diagnosed based on early-manifesting
clinical symptoms, including markedly impaired social communication. We assessed the …
clinical symptoms, including markedly impaired social communication. We assessed the …
Disrupted cerebrocerebellar intrinsic functional connectivity in young adults with high-functioning autism spectrum disorder: a data-driven, whole-brain, high-temporal …
This study examines the resting-state functional-connectivity (RsFc) in young adults with
high-functioning autism spectrum disorder (HF-ASD) using state-of-the-art fMRI data …
high-functioning autism spectrum disorder (HF-ASD) using state-of-the-art fMRI data …
Categorical versus dimensional structure of autism spectrum disorder: a multi‐method investigation
TW Frazier, L Chetcuti, FA Al‐Shaban… - JCPP …, 2023 - Wiley Online Library
Background A key question for any psychopathological diagnosis is whether the condition is
continuous or discontinuous with typical variation. The primary objective of this study was to …
continuous or discontinuous with typical variation. The primary objective of this study was to …
Identification of shared and differentiating genetic architecture for autism spectrum disorder, attention-deficit hyperactivity disorder and case subgroups
Attention-deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are
highly heritable neurodevelopmental conditions, with considerable overlap in their genetic …
highly heritable neurodevelopmental conditions, with considerable overlap in their genetic …
Neuroanatomical phenotypes in mental illness: identifying convergent and divergent cortical phenotypes across autism, ADHD and schizophrenia
Background: There is evidence suggesting neuropsychiatric disorders share genomic,
cognitive and clinical features. Here, we ask if autism-spectrum disorders (ASD), attention …
cognitive and clinical features. Here, we ask if autism-spectrum disorders (ASD), attention …
[HTML][HTML] Dissecting the heterogeneous cortical anatomy of autism spectrum disorder using normative models
Background The neuroanatomical basis of autism spectrum disorder (ASD) has remained
elusive, mostly owing to high biological and clinical heterogeneity among diagnosed …
elusive, mostly owing to high biological and clinical heterogeneity among diagnosed …