Classification accuracy of neuroimaging biomarkers in attention-deficit/hyperactivity disorder: effects of sample size and circular analysis

AA Pulini, WT Kerr, SK Loo, A Lenartowicz - … : Cognitive Neuroscience and …, 2019 - Elsevier
Background Motivated by an inconsistency between reports of high diagnosis-classification
accuracies and known heterogeneity in attention-deficit/hyperactivity disorder (ADHD), this …

Biomarkers and attention-deficit/hyperactivity disorder: a systematic review and meta-analyses

C Scassellati, C Bonvicini, SV Faraone… - Journal of the American …, 2012 - Elsevier
OBJECTIVE: To determine whether peripheral biochemical markers (biomarkers) might
differentiate patients with attention-deficit/hyperactivity disorder (ADHD) from non-ADHD …

Machine learning and MRI-based diagnostic models for ADHD: are we there yet?

Y Zhang-James, AS Razavi… - Journal of Attention …, 2023 - journals.sagepub.com
Objective: Machine learning (ML) has been applied to develop magnetic resonance imaging
(MRI)-based diagnostic classifiers for attention-deficit/hyperactivity disorder (ADHD). This …

Functional neuroimaging evidence for distinct neurobiological pathways in attention-deficit/hyperactivity disorder

MC Stevens, GD Pearlson, VD Calhoun… - Biological Psychiatry …, 2018 - Elsevier
Background A challenge facing clinical neuroscientists is how best to synthesize diverse
and sometimes inconsistent evidence for neuropsychological deficits and brain system …

Biomarkers for attention-deficit/hyperactivity disorder (ADHD). A consensus report of the WFSBP task force on biological markers and the World Federation of ADHD

J Thome, AC Ehlis, AJ Fallgatter, K Krauel… - The World Journal of …, 2012 - Taylor & Francis
Objective. Psychiatric “nosology” is largely based on clinical phenomenology using
convention-based diagnostic systems not necessarily reflecting neurobiological …

Classifying adolescent attention-deficit/hyperactivity disorder (ADHD) based on functional and structural imaging

R Iannaccone, TU Hauser, J Ball, D Brandeis… - European child & …, 2015 - Springer
Attention-deficit/hyperactivity disorder (ADHD) is a common disabling psychiatric disorder
associated with consistent deficits in error processing, inhibition and regionally decreased …

Refinement by integration: aggregated effects of multimodal imaging markers on adult ADHD

T Wolfers, AL Arenas, AMH Onnink, J Dammers… - Journal of Psychiatry and …, 2017 - jpn.ca
Background: Attention-deficit/hyperactivity disorder (ADHD) is biologically heterogeneous,
with different biological predispositions—mediated through developmental processes …

[PDF][PDF] Brain abnormalities in attention-deficit hyperactivity disorder: a review

K Rubia, AA Alegría, H Brinson - Rev Neurol, 2014 - researchgate.net
Aim. To review the magnetic resonance imaging findings in child and adult attention-deficit
hyperactivity disorder (ADHD). Development. Studies have shown that ADHD is …

Machine learning in attention-deficit/hyperactivity disorder: new approaches toward understanding the neural mechanisms

M Cao, E Martin, X Li - Translational Psychiatry, 2023 - nature.com
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous
neurodevelopmental disorder in children and has a high chance of persisting in adulthood …

The heritability of clinically diagnosed attention deficit hyperactivity disorder across the lifespan

H Larsson, Z Chang, BM D'Onofrio… - Psychological …, 2014 - cambridge.org
BackgroundNo prior twin study has explored the heritability of clinically diagnosed attention
deficit hyperactivity disorder (ADHD). Such studies are needed to resolve conflicting results …