Neurodevelopmental heterogeneity and computational approaches for understanding autism

S Jacob, JJ Wolff, MS Steinbach, CB Doyle… - Translational …, 2019 - nature.com
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 …

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 …

[HTML][HTML] Imaging genetics in obsessive-compulsive disorder: linking genetic variations to alterations in neuroimaging

E Gruenblatt, TU Hauser, S Walitza - Progress in Neurobiology, 2014 - Elsevier
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 …

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 …

Distinct cortical correlates of autistic versus antisocial traits in a longitudinal sample of typically developing youth

GL Wallace, P Shaw, NR Lee, LS Clasen… - Journal of …, 2012 - Soc Neuroscience
In humans, behaviors associated with autism and antisociality, disorders characterized by
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

N Yahata, J Morimoto, R Hashimoto, G Lisi… - Nature …, 2016 - nature.com
Although autism spectrum disorder (ASD) is a serious lifelong condition, its underlying
neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and …

Imaging genetics and genomics in psychiatry: a critical review of progress and potential

R Bogdan, BJ Salmeron, CE Carey, A Agrawal… - Biological …, 2017 - Elsevier
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 …

Neuroimaging: technologies at the interface of genes, brain, and behavior

KL Bigos, AR Hariri - Neuroimaging Clinics of North America, 2007 - Elsevier
Neuroimaging technologies provide a powerful approach to exploring the genetic basis of
individual differences in complex behaviors and vulnerability to neuropsychiatric illness …

Use of machine learning for behavioral distinction of autism and ADHD

M Duda, R Ma, N Haber, DP Wall - Translational psychiatry, 2016 - nature.com
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 …

[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 …