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 …

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 …

Unsupervised data-driven stratification of mentalizing heterogeneity in autism

MV Lombardo, MC Lai, B Auyeung, RJ Holt… - Scientific Reports, 2016 - nature.com
Individuals affected by autism spectrum conditions (ASC) are considerably heterogeneous.
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

K Niu, J Guo, Y Pan, X Gao, X Peng, N Li, H Li - Complexity, 2020 - hindawi.com
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 …

ADHD in girls and boys–gender differences in co-existing symptoms and executive function measures

EW Skogli, MH Teicher, PN Andersen, KT Hovik, M Øie - BMC psychiatry, 2013 - Springer
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 …

Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data

E Moradi, B Khundrakpam, JD Lewis, AC Evans… - Neuroimage, 2017 - Elsevier
Abstract Machine learning approaches have been widely used for the identification of
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 …

[HTML][HTML] High throughput phenotyping for dimensional psychopathology in electronic health records

TH McCoy Jr, S Yu, KL Hart, VM Castro, HE Brown… - Biological …, 2018 - Elsevier
Background Relying on diagnostic categories of neuropsychiatric illness obscures the
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 …

Neuroanatomical phenotypes in mental illness: identifying convergent and divergent cortical phenotypes across autism, ADHD and schizophrenia

MTM Park, A Raznahan, P Shaw, N Gogtay… - Journal of Psychiatry and …, 2018 - jpn.ca
Background: There is evidence suggesting neuropsychiatric disorders share genomic,
cognitive and clinical features. Here, we ask if autism-spectrum disorders (ASD), attention …