Attention Deficit Hyperactivity Disorder

This study profiles transcriptomes of dopaminergic neurons from ADHD and neurotypical iPSCs, identifying DEGs overlapping with ADHD GWAS results and suggesting delayed neuronal maturation.

This study examines the relationship between caudate and putamen volumes and executive functions in children with ADHD, finding no volumetric differences but a correlation between right caudate volume and parent-reported emotion regulation.

This study uses EEG and graph theory to analyze brain network modularity and communication in ADHD subtypes, finding reduced visual network modularity and communication in ADHD groups compared to controls.

This study shows that abscisic acid reduces hyperactivity and impulsivity in adult female mice with dopamine depletion by restoring microglia function and the E/I ratio.

This study identifies two distinct ADHD biotypes based on brain morphology, showing different treatment responses and genetic correlates.

This paper identifies shared genetic risk loci between ADHD, cannabis use disorder, and cannabis use, and predicts cannabis use disorder risk in ADHD using polygenic scores.

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

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.

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.

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

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

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 shows that reduced Cdk5 activity in p35KO mice leads to decreased dopamine transporter expression and function in the striatum, supporting a role for Cdk5 in dopamine neurotransmission.

The paper compares attentional modulation of neural responses in neurotypical and ADHD young adults during an auditory task, finding weaker modulation in ADHD participants despite similar behavioral performance.

This paper proposes a Petri net model of working memory to identify potential causes of inattention in attention deficit disorder.

This study identifies shared genetic loci between ADHD, aggressive behaviors, and antisocial behaviors using GWAS and gene-based analyses.

This paper investigates using Minecraft as a therapeutic video game for ADHD and develops a computational model with ANNs to simulate executive function training.

The paper investigates using Minecraft as a therapeutic video game for ADHD and develops an artificial neural network model to optimize executive function training.

This study examines how white matter microstructure changes longitudinally in relation to ADHD symptom remission in adolescents and young adults.

This study shows that methylphenidate normalizes beta oscillations and reduces alpha power during retention in children with ADHD, aligning with behavioral improvements.

The paper investigates how genetic variation in DRD4 interacts with seasonal daylight changes to influence inattention, finding support for the Spring-focus hypothesis and seasonal patterns in ADHD-related symptoms.

This study identifies risk variants and characterizes the polygenic architecture of ADHD comorbid with disruptive behavior disorders through a large GWAS meta-analysis.

This study identifies high-priority ADHD candidate genes by integrating rare CNV data with bioinformatics methods and finds shared genes with common variants.

This study performs a cross-disorder GWAS meta-analysis of ADHD, ASD, OCD, and TS, identifying 297 genome-wide significant variants and 21 genes associated with shared genetic risk.

This study compares structural brain differences across ADHD, ASD, and OCD using MRI data from multiple cohorts, finding disorder-specific alterations in brain volume and cortical thickness.

The paper investigates selective brain region vulnerability in ADHD by analyzing gene expression, cell abundance, and brain size changes using imaging and postmortem data.

The paper identifies beta-gamma phase-amplitude coupling deficits in ADHD children using EEG data during resting eyes closed state.