Mark A. Bellgrove

The paper identifies genetic and environmental factors influencing DNA methylation in ADHD and controls across childhood, showing income and school quality affect methylation changes differently by ADHD trajectory.

This study investigates the role of DUSP6 in ADHD by generating DUSP6 knockouts in iPSC-derived dopaminergic neurons, finding increased dopamine secretion and transcriptomic changes linked to neurodevelopment and psychiatric disorders.

This study examines how dopamine D2 receptor blockade affects proactive and reactive inhibition using behavioural and electrophysiological measures in humans.

The paper presents a dataset of EEG, TMS-EEG, and behavioural data from 123 healthy adults to study the neural correlates of working memory.

This study finds no group differences in sustained attention performance or wake slow wave activity between ADHD and neurotypical adults, but identifies neural differences suggesting compensatory mechanisms in ADHD.

The paper models how education interacts with neurobiological features to influence cognitive outcomes in the UK Biobank cohort, showing that right fronto-parietal connectivity mediates this effect.

This study finds that increased sleep-like slow wave (SW) density during wakefulness in ADHD is associated with attentional difficulties, suggesting a mechanistic link between sleep disturbances and attentional issues.

This study evaluates denoising strategies for resting-state fMRI, finding that multi-echo pipelines generally outperform single-echo ones but no single method is optimal for all tasks.

This study shows that sleep-like slow waves in wakefulness correlate with perceptual decision-making deficits in stroke patients, indicating network destabilization beyond the lesion site.

This study investigates implicit motor sequence learning using multimodal neuroimaging, showing early learning links to default mode network connectivity and motor network connectivity for sustained learning.

The paper examines white matter volume deviations in psychiatric disorders using normative modeling, finding heterogeneous patterns with some aggregation in autism and schizophrenia.

This study uses EEG to analyze perceptual decision-making in ADHD, finding altered neural dynamics in attentional selection, sensory evidence accumulation, and response preparation compared to typically developing children.

The paper uses EEG and fMRI to identify the left intraparietal sulcus as a key region for sensory evidence accumulation during perceptual decision-making.

This paper develops a geometrically constrained framework to map brain regions across species and shows geometry influences regional organization through patterning molecules.

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 investigates how auditory and somatosensory inputs contribute to TMS-evoked potentials (TEPs) in different cortical regions and finds that later TEPs reflect sensory input while earlier peaks reflect cortical stimulation.

This study identifies neurophysiological mechanisms causing slowed contralesional response times after stroke by analyzing EEG data from stroke patients and healthy controls.

This paper introduces a xeno-free single-cell cloning method for CRISPR-edited human iPSCs, achieving high clonal survival and editing efficiency for improved disease modeling.

This study examines the effect of dopamine D2 receptor blockade on motor skill acquisition and consolidation in humans, finding reduced acquisition but no impact on consolidation.

This study uses Mendelian randomization to identify genetic links between chronotype and brain volume differences outside the suprachiasmatic nucleus in the UK Biobank.

The paper investigates how evidence accumulation rate influences age-related response speed declines in older adults exposed to enriched environments.

This study evaluates how different diffusion MRI processing pipelines affect the identification of connectome hubs in humans, finding significant variability in hub location and connectivity based on processing choices.

This study investigates how pharmacological manipulations of arousal and sleep-like slow waves affect sustained attention in humans.

This study shows dopamine modulates attentional processing in macaque parietal cortex by altering neuronal firing rates and gain variability.

This study identifies a robust neural network associated with error awareness using a large fMRI dataset from a Go/No-Go task.

This study identifies genetic influences on hub connectivity in the human connectome using diffusion-weighted imaging in twins and transcriptomic data.

This study analyzes structural brain asymmetries in ADHD using 39 datasets, finding small effects that do not meet study-wide significance thresholds.

This study uses machine learning to show that structural brain anomalies in ADHD are similar in children and adults, supporting continuity of the disorder's pathophysiology.

This study evaluates how different preprocessing steps affect motion-related contamination in diffusion MRI structural connectivity estimates, finding that specific motion correction methods significantly reduce cross-subject correlations between motion and connectivity strength.