Neurodevelopmental heterogeneity and computational approaches for understanding autism
In recent years, the emerging field of computational psychiatry has impelled the use of
machine learning models as a means to further understand the pathogenesis of multiple …
machine learning models as a means to further understand the pathogenesis of multiple …
The impacts of elevated autism spectrum disorder traits on clinical and psychosocial features and long-term treatment outcome in adult patients with obsessive …
H Mito, N Matsuura, K Mukai, Y Yanagisawa… - Comprehensive …, 2014 - Elsevier
Background While a close relation between obsessive-compulsive disorder (OCD) and
autism spectrum disorder (ASD) has been pointed out, there are few studies that have …
autism spectrum disorder (ASD) has been pointed out, there are few studies that have …
[HTML][HTML] Imaging genetics in obsessive-compulsive disorder: linking genetic variations to alterations in neuroimaging
Obsessive-compulsive disorder (OCD) occurs in∼ 1–3% of the general population, and its
often rather early onset causes major disabilities in the everyday lives of patients. Although …
often rather early onset causes major disabilities in the everyday lives of patients. Although …
Neural correlates of polygenic risk score for autism spectrum disorders in general population
B Khundrakpam, U Vainik, J Gong… - Brain …, 2020 - academic.oup.com
Autism spectrum disorder is a highly prevalent and highly heritable neurodevelopmental
condition, but studies have mostly taken traditional categorical diagnosis approach (yes/no …
condition, but studies have mostly taken traditional categorical diagnosis approach (yes/no …
Distinct cortical correlates of autistic versus antisocial traits in a longitudinal sample of typically developing youth
In humans, behaviors associated with autism and antisociality, disorders characterized by
distinct social impairments, can be viewed as quantitative traits that range from frank …
distinct social impairments, can be viewed as quantitative traits that range from frank …
A small number of abnormal brain connections predicts adult autism spectrum disorder
Although autism spectrum disorder (ASD) is a serious lifelong condition, its underlying
neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and …
neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and …
Imaging genetics and genomics in psychiatry: a critical review of progress and potential
Imaging genetics and genomics research has begun to provide insight into the molecular
and genetic architecture of neural phenotypes and the neural mechanisms through which …
and genetic architecture of neural phenotypes and the neural mechanisms through which …
Neuroimaging: technologies at the interface of genes, brain, and behavior
Neuroimaging technologies provide a powerful approach to exploring the genetic basis of
individual differences in complex behaviors and vulnerability to neuropsychiatric illness …
individual differences in complex behaviors and vulnerability to neuropsychiatric illness …
Use of machine learning for behavioral distinction of autism and ADHD
Although autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD)
continue to rise in prevalence, together affecting> 10% of today's pediatric population, the …
continue to rise in prevalence, together affecting> 10% of today's pediatric population, the …
[HTML][HTML] Specific medical conditions are associated with unique behavioral profiles in autism spectrum disorders
DA Zachor, E Ben-Itzchak - Frontiers in Neuroscience, 2016 - frontiersin.org
Autism spectrum disorder (ASD) is a heterogeneous group of disorders which occurs with
numerous medical conditions. In previous research, subtyping in ASD has been based …
numerous medical conditions. In previous research, subtyping in ASD has been based …