[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 …
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
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 …
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 …
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 …
proliferated in psychiatry. However, their clinical applicability and reporting quality (ie …
[HTML][HTML] Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry
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 …
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 …
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
Autism spectrum disorder (ASD) is a neurodevelopmental condition with early childhood
onset and high heterogeneity. As the pathogenesis is still elusive, ASD diagnosis is …
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
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 …
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 …
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
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 …
resting state. Most of the studies have focused on abnormalities in alpha frequency as a …