[HTML][HTML] Disentangling the role of gray matter volume and concentration in autism spectrum disorder: A meta-analytic investigation of 25 years of voxel-based …
Despite over two decades of neuroimaging research, a unanimous definition of the pattern
of structural variation associated with autism spectrum disorder (ASD) has yet to be found …
of structural variation associated with autism spectrum disorder (ASD) has yet to be found …
Review of progress in diagnostic studies of autism spectrum disorder using neuroimaging
This review article summarizes the recent advances in the diagnostic studies of autism
spectrum disorders (ASDs) considering some of the most influential research articles from …
spectrum disorders (ASDs) considering some of the most influential research articles from …
Population heterogeneity in clinical cohorts affects the predictive accuracy of brain imaging
Brain imaging research enjoys increasing adoption of supervised machine learning for
single-participant disease classification. Yet, the success of these algorithms likely depends …
single-participant disease classification. Yet, the success of these algorithms likely depends …
Structural brain abnormalities and their association with language impairment in school-aged children with Autism Spectrum Disorder
V Arutiunian, M Gomozova, A Minnigulova… - Scientific Reports, 2023 - nature.com
Abstract Language impairment is comorbid in most children with Autism Spectrum Disorder
(ASD) but its neural basis is poorly understood. Using structural magnetic resonance …
(ASD) but its neural basis is poorly understood. Using structural magnetic resonance …
[HTML][HTML] The midpoint of cortical thinning between late childhood and early adulthood differs between individuals and brain regions: Evidence from longitudinal …
D Fuhrmann, KS Madsen, LB Johansen, WFC Baaré… - NeuroImage, 2022 - Elsevier
Charting human brain maturation between childhood and adulthood is a fundamental
prerequisite for understanding the rapid biological and psychological changes during …
prerequisite for understanding the rapid biological and psychological changes during …
The role of structure MRI in diagnosing autism
This study proposes a Computer-Aided Diagnostic (CAD) system to diagnose subjects with
autism spectrum disorder (ASD). The CAD system identifies morphological anomalies within …
autism spectrum disorder (ASD). The CAD system identifies morphological anomalies within …
Atypical local brain connectivity in pediatric autism spectrum disorder? A coordinate-based meta-analysis of regional homogeneity studies
Despite decades of massive neuroimaging research, the comprehensive characterization of
short-range functional connectivity in autism spectrum disorder (ASD) remains a major …
short-range functional connectivity in autism spectrum disorder (ASD) remains a major …
Diagnosis of autism spectrum disorder based on functional brain networks and machine learning
Autism is a multifaceted neurodevelopmental condition whose accurate diagnosis may be
challenging because the associated symptoms and severity vary considerably. The wrong …
challenging because the associated symptoms and severity vary considerably. The wrong …
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 …
Understanding the impact of preprocessing pipelines on neuroimaging cortical surface analyses
Background The choice of preprocessing pipeline introduces variability in neuroimaging
analyses that affects the reproducibility of scientific findings. Features derived from structural …
analyses that affects the reproducibility of scientific findings. Features derived from structural …