[HTML][HTML] Wnt/β-catenin-dependent transcription in autism spectrum disorders

MO Caracci, ME Avila… - Frontiers in molecular …, 2021 - frontiersin.org
Autism spectrum disorders (ASD) is a heterogeneous group of neurodevelopmental
disorders characterized by synaptic dysfunction and defects in dendritic spine morphology …

[HTML][HTML] Technologies to support the diagnosis and/or treatment of neurodevelopmental disorders: A systematic review

MO Ribas, M Micai, A Caruso, F Fulceri, M Fazio… - Neuroscience & …, 2023 - Elsevier
In recent years, there has been a great interest in utilizing technology in mental health
research. The rapid technological development has encouraged researchers to apply …

Motor impairment increases in children with autism spectrum disorder as a function of social communication, cognitive and functional impairment, repetitive behavior …

AN Bhat - Autism research, 2021 - Wiley Online Library
Eighty‐seven percent of a large sample of children with autism spectrum disorder (ASD) are
at risk for motor impairment (Bhat, Physical Therapy, 2020, 100, 633–644). In spite of the …

Evaluation of risk of bias in neuroimaging-based artificial intelligence models for psychiatric diagnosis: a systematic review

Z Chen, X Liu, Q Yang, YJ Wang, K Miao… - JAMA network …, 2023 - jamanetwork.com
Importance Neuroimaging-based artificial intelligence (AI) diagnostic models have
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …

[HTML][HTML] Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry

Z Chen, B Hu, X Liu, B Becker, SB Eickhoff, K Miao… - BMC medicine, 2023 - Springer
Background The development of machine learning models for aiding in the diagnosis of
mental disorder is recognized as a significant breakthrough in the field of psychiatry …

FC–HAT: hypergraph attention network for functional brain network classification

J Ji, Y Ren, M Lei - Information Sciences, 2022 - Elsevier
Recently, functional brain network analysis via graph neural networks has achieved state-of-
the-art results as it can directly extract information from irregular graphs without any …

Brain imaging-based machine learning in autism spectrum disorder: methods and applications

M Xu, V Calhoun, R Jiang, W Yan, J Sui - Journal of neuroscience methods, 2021 - Elsevier
Autism spectrum disorder (ASD) is a neurodevelopmental condition with early childhood
onset and high heterogeneity. As the pathogenesis is still elusive, ASD diagnosis is …

[HTML][HTML] Reduced inter-hemispheric resting state functional connectivity and its association with social deficits in autism

S Yao, B Becker, KM Kendrick - Frontiers in Psychiatry, 2021 - frontiersin.org
Autism spectrum disorder (ASD) is an early onset developmental disorder which persists
throughout life and is increasing in prevalence over the last few decades. Given its early …

[HTML][HTML] CDKL5 sculpts functional callosal connectivity to promote cognitive flexibility

PN Awad, V Zerbi, EM Johnson-Venkatesh… - Molecular …, 2023 - nature.com
Functional and structural connectivity alterations in short-and long-range projections have
been reported across neurodevelopmental disorders (NDD). Interhemispheric callosal …

[HTML][HTML] EEG resting-state functional connectivity: evidence for an imbalance of external/internal information integration in autism

P Wantzen, P Clochon, F Doidy, F Wallois… - Journal of …, 2022 - Springer
Background Autism spectrum disorder (ASD) is associated with atypical neural activity in
resting state. Most of the studies have focused on abnormalities in alpha frequency as a …