A systematic review of structural MRI biomarkers in autism spectrum disorder: A machine learning perspective

AM Pagnozzi, E Conti, S Calderoni, J Fripp… - International Journal of …, 2018 - Elsevier
Abstract Autism Spectrum Disorder (ASD) affects approximately 1% of the population and
leads to impairments in social interaction, communication and restricted, repetitive …

Embedded figures test performance in the broader autism phenotype: a meta-analysis

SJ Cribb, M Olaithe, R Di Lorenzo, PD Dunlop… - Journal of Autism and …, 2016 - Springer
People with autism show superior performance to controls on the Embedded Figures Test
(EFT). However, studies examining the relationship between autistic-like traits and EFT …

Reduced gray matter volume in the social brain network in adults with autism spectrum disorder

W Sato, T Kochiyama, S Uono, S Yoshimura… - Frontiers in human …, 2017 - frontiersin.org
Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by
behavioral impairment in social interactions. Although theoretical and empirical evidence …

When are we sure? Predictors of clinician certainty in the diagnosis of autism spectrum disorder

CG McDonnell, CC Bradley, SM Kanne… - Journal of autism and …, 2019 - Springer
Differential diagnosis of autism spectrum disorder (ASD) is challenging, and uncertainty
regarding a child's diagnosis may result in under-identification or prolonged diagnostic …

Automatic classification of autism spectrum disorder in children using cortical thickness and support vector machine

L Squarcina, G Nosari, R Marin, U Castellani… - Brain and …, 2021 - Wiley Online Library
Objective Autism spectrum disorder (ASD) is a neurodevelopmental condition with a
heterogeneous phenotype. The role of biomarkers in ASD diagnosis has been highlighted; …

HDGL: A hierarchical dynamic graph representation learning model for brain disorder classification

P Jalali, M Safayani - arXiv preprint arXiv:2311.02903, 2023 - arxiv.org
The human brain can be considered as complex networks, composed of various regions that
continuously exchange their information with each other, forming the brain network graph …

Statistical learning for non-social and socially-meaningful stimuli in individuals with high and low levels of autistic traits

X Li, X Bai, CM Conway, W Shi, X Wang - Current Psychology, 2023 - Springer
Autism spectrum disorder (ASD) is associated with weaknesses in social communication
and interaction but potential strengths in perceptual processing of non-social stimuli. It is …

'Struggling to appear normal': a moderated mediational analysis of empathy and camouflaging in the association between autistic traits and depressive symptoms

M Lu, F Pang, T Peng, Y Liu, R Wang - International Journal of …, 2023 - Taylor & Francis
Background Camouflaging or camouflaging autistic traits—strategies that hide social
impairments to match societal norms—has been linked to empathy and depressive …

Structural correlates of reading the mind in the eyes in autism spectrum disorder

W Sato, S Uono, T Kochiyama, S Yoshimura… - Frontiers in Human …, 2017 - frontiersin.org
Behavioral studies have shown that individuals with autism spectrum disorder (ASD) have
impaired ability to read the mind in the eyes. Although this impairment is central to their …

Peripheral oxytocin levels are linked to hypothalamic gray matter volume in autistic adults: a cross-sectional secondary data analysis

R Haaf, ML Brandi, L Albantakis, JM Lahnakoski… - Scientific reports, 2024 - nature.com
Oxytocin (OXT) is known to modulate social behavior and cognition and has been discussed
as pathophysiological and therapeutic factor for autism spectrum disorder (ASD). An …