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 …

[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 …

D Liloia, DA Zamfira, M Tanaka, J Manuello… - Neuroscience & …, 2024 - Elsevier
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 …

Cortical and subcortical brain morphometry differences between patients with autism spectrum disorder and healthy individuals across the lifespan: results from the …

D Van Rooij, E Anagnostou, C Arango… - American Journal of …, 2018 - Am Psychiatric Assoc
Objective: Neuroimaging studies show structural differences in both cortical and subcortical
brain regions in children and adults with autism spectrum disorder (ASD) compared with …

Large-scale analyses of the relationship between sex, age and intelligence quotient heterogeneity and cortical morphometry in autism spectrum disorder

SA Bedford, MTM Park, GA Devenyi, S Tullo… - Molecular …, 2020 - nature.com
Significant heterogeneity across aetiologies, neurobiology and clinical phenotypes have
been observed in individuals with autism spectrum disorder (ASD). Neuroimaging-based …

[HTML][HTML] Dissecting the heterogeneous cortical anatomy of autism spectrum disorder using normative models

M Zabihi, M Oldehinkel, T Wolfers, V Frouin… - Biological psychiatry …, 2019 - Elsevier
Background The neuroanatomical basis of autism spectrum disorder (ASD) has remained
elusive, mostly owing to high biological and clinical heterogeneity among diagnosed …

Examining overlap and homogeneity in ASD, ADHD, and OCD: a data-driven, diagnosis-agnostic approach

A Kushki, E Anagnostou, C Hammill, P Duez… - Translational …, 2019 - nature.com
The validity of diagnostic labels of autism spectrum disorder (ASD), attention-
deficit/hyperactivity disorder (ADHD), and obsessive compulsive disorder (OCD) is an open …

Network connectivity determines cortical thinning in early Parkinson's disease progression

Y Yau, Y Zeighami, TE Baker, K Larcher… - Nature …, 2018 - nature.com
Here we test the hypothesis that the neurodegenerative process in Parkinson's disease (PD)
moves stereotypically along neural networks, possibly reflecting the spread of toxic alpha …

Classification of autism spectrum disorder using random support vector machine cluster

X Bi, Y Wang, Q Shu, Q Sun, Q Xu - Frontiers in genetics, 2018 - frontiersin.org
Autism spectrum disorder (ASD) is mainly reflected in the communication and language
barriers, difficulties in social communication, and it is a kind of neurological developmental …

FoxO function is essential for maintenance of autophagic flux and neuronal morphogenesis in adult neurogenesis

I Schäffner, G Minakaki, MA Khan, EA Balta… - Neuron, 2018 - cell.com
Autophagy is a conserved catabolic pathway with emerging functions in mammalian
neurodevelopment and human neurodevelopmental diseases. The mechanisms controlling …

A normative modelling approach reveals age-atypical cortical thickness in a subgroup of males with autism spectrum disorder

RAI Bethlehem, J Seidlitz, R Romero-Garcia… - Communications …, 2020 - nature.com
Understanding heterogeneity is an important goal on the path to precision medicine for
autism spectrum disorders (ASD). We examined how cortical thickness (CT) in ASD can be …