Jeiran Choupan

This study links outdoor air pollution exposure to increased perivascular space count and poorer cognition in preadolescents, suggesting brain clearance mechanisms may mediate pollution's neurotoxic effects.

The paper identifies genetic associations with perivascular space morphology in children using MRI and genomics data from the Adolescent Brain Cognitive Development Study.

This study examines sex and felt-gender differences in perivascular space (PVS) volume and count in adolescents, finding that felt-gender improves model fit for PVS count and both sex and felt-gender are associated with PVS volume and count.

This study examines the relationship between perivascular space characteristics, sleep, and brain functional connectivity in healthy aging individuals, finding correlations between PVS volume fraction and specific brain regions.

This study examines the relationship between sleep, walking, and cognition in Parkinson's disease, finding that walking difficulties directly impact cognition, while PVS does not mediate these associations.

This study examines the effects of one-night partial sleep deprivation on perivascular space volume fraction using the Stockholm Sleepy Brain Study, finding no significant overall association but some interactions that did not survive multiple comparisons.

This study examines age-related changes in perivascular and parenchymal fluid flow characteristics and their relationship with cognitive performance across development and aging.

This paper compares within- and between-sex variance in early adolescent brain structure and finds more similarity than difference between sexes.

This study examines the relationship between sex, gender diversity, and brain structure in children aged 9-11, finding that sex explains some variance while gender diversity does not independently predict neurostructural differences.

This study examines the relationship between perivascular spaces, cortisol, hypertension, and inflammation in cognitive impairment, finding significant associations and interactions.

The paper examines age-related changes in perivascular spaces (PVS) using MRI data from a large cohort, showing age and sex influence PVS size and distribution across the lifespan.

NiftyTorch provides a deep learning framework for neuroimaging tasks, aiming to simplify 3D deep learning for non-experts.

The paper shows that early cognitive dysfunction is associated with altered perivascular space presence and distribution, linked to tau tangle deposition in Alzheimer's disease pathology.

This study shows that spatiotemporal feature selection improves multi-voxel pattern classification accuracy in fMRI data compared to single time-point spatial approaches.

This paper introduces an image processing method to enhance perivascular space visibility and quantification using MRI by combining T1- and T2-weighted images with adaptive filtering.

This paper shows that perivascular space fluid affects diffusion tensor imaging metrics in white matter, challenging previous interpretations of DTI findings.