Two neurosubtypes of ADHD different from the clinical phenotypes
Q Wang, C Zhao, J Qiu, W Lu - Psychiatry Research, 2023 - Elsevier
Clinical and etiological variability of attention deficit hyperactivity disorder (ADHD) presents
an obstacle to understand the disorder. The aim of this study was to disentangle the …
an obstacle to understand the disorder. The aim of this study was to disentangle the …
[HTML][HTML] Developmental changes in dynamic functional connectivity from childhood into adolescence
M López-Vicente, O Agcaoglu… - Frontiers in systems …, 2021 - frontiersin.org
The longitudinal study of typical neurodevelopment is key for understanding deviations due
to specific factors, such as psychopathology. However, research utilizing repeated …
to specific factors, such as psychopathology. However, research utilizing repeated …
[HTML][HTML] Insights into multimodal imaging classification of ADHD
Attention deficit hyperactivity disorder (ADHD) currently is diagnosed in children by
clinicians via subjective ADHD-specific behavioral instruments and by reports from the …
clinicians via subjective ADHD-specific behavioral instruments and by reports from the …
[HTML][HTML] Data-driven phenotypic categorization for neurobiological analyses: beyond DSM-5 labels
Background Data-driven approaches can capture behavioral and biological variation
currently unaccounted for by contemporary diagnostic categories, thereby enhancing the …
currently unaccounted for by contemporary diagnostic categories, thereby enhancing the …
[HTML][HTML] Exploring characteristic features of attention-deficit/hyperactivity disorder: findings from multi-modal MRI and candidate genetic data
The current study examined whether machine learning features best distinguishing attention-
deficit/hyperactivity disorder (ADHD) from typically developing children (TDC) can explain …
deficit/hyperactivity disorder (ADHD) from typically developing children (TDC) can explain …
Dimensional brain-behavior relationships in children with attention-deficit/hyperactivity disorder
BACKGROUND: Emerging neuroscientific and genetic findings emphasize the dimensional
rather than the categorical aspects of psychiatric disorders. However, the integration of …
rather than the categorical aspects of psychiatric disorders. However, the integration of …
Differentiating boys with ADHD from those with typical development based on whole-brain functional connections using a machine learning approach
Y Sun, L Zhao, Z Lan, XZ Jia… - … disease and treatment, 2020 - Taylor & Francis
Purpose In recent years, machine learning techniques have received increasing attention as
a promising approach to differentiating patients from healthy subjects. Therefore, some …
a promising approach to differentiating patients from healthy subjects. Therefore, some …
Psychoradiologic utility of MR imaging for diagnosis of attention deficit hyperactivity disorder: a radiomics analysis
Purpose To identify cerebral radiomic features related to diagnosis and subtyping of
attention deficit hyperactivity disorder (ADHD) and to build and evaluate classification …
attention deficit hyperactivity disorder (ADHD) and to build and evaluate classification …
Parsing heterogeneity in autism spectrum disorder and attention-deficit/hyperactivity disorder with individual connectome mapping
Traditional diagnostic systems for neurodevelopmental disorders define diagnostic
categories that are heterogeneous in behavior and underlying neurobiological alterations …
categories that are heterogeneous in behavior and underlying neurobiological alterations …
Estimating the heritability of developmental change in neural connectivity, and its association with changing symptoms of attention-deficit/hyperactivity disorder
Background Twin studies show that age-related change in symptoms of attention-
deficit/hyperactivity disorder (ADHD) is heritable. However, we do not know the heritability of …
deficit/hyperactivity disorder (ADHD) is heritable. However, we do not know the heritability of …