The RDoC framework: facilitating transition from ICD/DSM to dimensional approaches that integrate neuroscience and psychopathology
BN Cuthbert - World psychiatry, 2014 - Wiley Online Library
In 2008, the National Institute of Mental Health (NIMH) included in its new Strategic Plan the
following aim:“Develop, for research purposes, new ways of classifying mental disorders …
following aim:“Develop, for research purposes, new ways of classifying mental disorders …
Clustering by phenotype and genome-wide association study in autism
A Narita, M Nagai, S Mizuno, S Ogishima… - Translational …, 2020 - nature.com
Autism spectrum disorder (ASD) has phenotypically and genetically heterogeneous
characteristics. A simulation study demonstrated that attempts to categorize patients with a …
characteristics. A simulation study demonstrated that attempts to categorize patients with a …
Unsupervised data-driven stratification of mentalizing heterogeneity in autism
Individuals affected by autism spectrum conditions (ASC) are considerably heterogeneous.
Novel approaches are needed to parse this heterogeneity to enhance precision in clinical …
Novel approaches are needed to parse this heterogeneity to enhance precision in clinical …
[HTML][HTML] Multichannel deep attention neural networks for the classification of autism spectrum disorder using neuroimaging and personal characteristic data
Autism spectrum disorder (ASD) is a developmental disorder that impacts more than 1.6% of
children aged 8 across the United States. It is characterized by impairments in social …
children aged 8 across the United States. It is characterized by impairments in social …
ADHD in girls and boys–gender differences in co-existing symptoms and executive function measures
Background ADHD is diagnosed and treated more often in males than in females. Research
on gender differences suggests that girls may be consistently underidentified and …
on gender differences suggests that girls may be consistently underidentified and …
Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data
Abstract Machine learning approaches have been widely used for the identification of
neuropathology from neuroimaging data. However, these approaches require large samples …
neuropathology from neuroimaging data. However, these approaches require large samples …
A genome-wide association meta-analysis of attention-deficit/hyperactivity disorder symptoms in population-based pediatric cohorts
CM Middeldorp, AR Hammerschlag, KG Ouwens… - Journal of the American …, 2016 - Elsevier
Objective The aims of this study were to elucidate the influence of common genetic variants
on childhood attention-deficit/hyperactivity disorder (ADHD) symptoms, to identify genetic …
on childhood attention-deficit/hyperactivity disorder (ADHD) symptoms, to identify genetic …
[HTML][HTML] High throughput phenotyping for dimensional psychopathology in electronic health records
Background Relying on diagnostic categories of neuropsychiatric illness obscures the
complexity of these disorders. Capturing multiple dimensional measures of neuropathology …
complexity of these disorders. Capturing multiple dimensional measures of neuropathology …
The structure of psychopathology in adolescence and its common personality and cognitive correlates.
N Castellanos-Ryan, FN Brière… - Journal of abnormal …, 2016 - psycnet.apa.org
The traditional view that mental disorders are distinct, categorical disorders has been
challenged by evidence that disorders are highly comorbid and exist on a continuum (eg …
challenged by evidence that disorders are highly comorbid and exist on a continuum (eg …
Neuroanatomical phenotypes in mental illness: identifying convergent and divergent cortical phenotypes across autism, ADHD and schizophrenia
Background: There is evidence suggesting neuropsychiatric disorders share genomic,
cognitive and clinical features. Here, we ask if autism-spectrum disorders (ASD), attention …
cognitive and clinical features. Here, we ask if autism-spectrum disorders (ASD), attention …