Attention Deficit Hyperactivity Disorder

This study identifies cortical gradient perturbations in ADHD linked to neurotransmitter, cell type, and chromosome-specific transcriptomic signatures using neuroimaging and molecular data.

This study uses fMRI to assess inhibitory control in young children with ADHD and typically developing peers using a modified K-CPT, revealing brain activity differences in inhibitory control regions.

This study explores a non-pharmacological approach combining EEG neurofeedback and virtual reality to improve attention in children, showing promising engagement and preliminary improvements in attentional function.

This study shows SELENOT deficiency in dopaminergic neurons causes ADHD-like behaviors in mice by reducing DAT and altering dopamine signaling.

The paper examines how resting-state EEG dynamics relate to response control in ADHD, finding that oscillatory power, not phase-synchrony or modularity, is most associated with response control, and this link is stronger in ADHD and males.

This study identifies differences in auditory-visual integration networks between children with ADHD and neurotypical controls using machine learning on fMRI data, showing potential diagnostic utility.

This study investigates ADHD pathogenesis in juvenile SHR rats, finding normal mesocortical dopaminergic systems but increased locomotor activity, suggesting SHR may model hyperactive/impulsive ADHD subtype.

This study investigates biological motion perception in children with ADHD, finding atypical processing of local and global cues and linking it to attention and intelligence.

This study integrates genomics, epigenomics, and metabolomics data to identify ADHD biomarkers and explore omics-level connections, finding associations between PGSs, CpGs, and metabolites.

The paper investigates how maternal physical exercise during pregnancy affects ADHD-like behaviors and dopamine receptor expression in offspring rats.

This paper identifies ultra-rare de novo damaging variants in ADHD cases and finds KDM5B as a high-confidence risk gene, along with enriched biological pathways.

This paper identifies two neural subtypes in children with elevated inattention and hyperactivity, differentiated by brain network topology and cognitive function.

This study shows that ABA reduces pain sensitivity in female ADHD mice and hyperactivity in male ADHD mice, linked to sex-dependent dopamine and inflammation changes.

This paper proposes a wavelet-based method to diagnose ADHD using pupillary dynamics, achieving over 78% accuracy in a child dataset.

The paper investigates how ADHD symptoms relate to brain criticality, finding that intermediate symptom scores correlate with peak criticality and potential functional benefits.

This study links intra-individual variability in cognitive task performance with neural network anticorrelation and predicts future attention problems in adolescents.

The paper identifies gray matter volume (GMV) deficits in adolescents with ADHD traits, showing heritability and links to cognitive performance, with stronger effects in boys than girls.

This study uses high-density EEG to examine eye-gaze processing in adults with ADHD, finding neural abnormalities in attention-sensitive ERP components.

The paper uses MVPA to compare neural profiles of frontoparietal networks in boys with ADHD, PDD, and TD, finding differences in working memory processing.

This study investigates the mechanism of psychostimulant-induced calming in ADHD by analyzing neurotransmitter effects in different mouse models.

The paper identifies ten genes associated with ADHD-related grey matter brain networks in a sample of 899 individuals.

The paper examines longitudinal ADHD symptom changes linked to white matter microstructure using fixel-based analysis, finding associations between symptom improvement and specific tract metrics.

This study identifies altered functional connectivity in ADHD adults using resting-state fMRI, linking these changes to genetic risk factors and treatment response.

The paper examines how dynamic EEG network configurations during an inhibitory task correlate with hyperactive/impulsive traits in ADHD, finding stronger associations with beta and gamma oscillatory networks.

This study uses machine learning to assess if neuroimaging and neurocognitive measures improve ADHD diagnosis in young children, finding teacher ratings of executive function are most predictive.

This paper uses Mendelian randomization to investigate causal links between genetic liability to ADHD/ASD and educational attainment, finding distinct causal effects for ADHD and ASD.

This study examines white matter microstructural properties and connectivity differences between ADHD combined and inattentive subtypes but finds no significant differences.

This study finds that children with ADHD show increased mirror overflow during non-dominant hand movement, associated with reduced alpha ERD and higher ADHD symptoms.