Željka Krsnik

This study reconstructs the development of short association fibers in the human fetal brain using diffusion MRI and histology validation, revealing their maturation patterns and implications for neurodevelopmental disorders.

This study uses cortical organoids to examine diffusion MRI reproducibility and apparent diffusivity changes with diffusion time, finding increased apparent mean diffusivity in most tissue voxels.

This study shows that trisomy 21 in human isogenic iPSC-derived neurons leads to abnormal neuronal and synaptic morphology, similar to findings in human brain tissue.

The paper constructs a single-cell atlas of fetal Down syndrome cortex, identifying chromosome 21 transcription factors that regulate intellectual disability gene networks and showing their normalization can restore molecular signatures.

The paper introduces DeepCellMap, a deep learning tool for analyzing spatial cellular organization in developing brains, revealing microglial phenotypes and spatial clustering patterns.

This study uses deep learning to estimate fiber orientation distribution functions (FODs) from limited diffusion MRI data in newborns and fetuses, achieving results comparable to standard methods with fewer measurements.

The paper uses NMF on MRI data to identify white matter maturation patterns in newborns, showing distinct microstructural and histological features.

This study examines microglial dynamics across the human lifespan using postmortem tissues and RNAseq data, revealing novel developmental patterns linked to neurodevelopmental milestones.

The paper shows that trisomy 21 cerebral organoids exhibit AD-like pathology, which can be suppressed by BACE2 trisomy and inhibited by BACE1 inhibitors, suggesting BACE2 as an AD-suppressor gene.

This study investigates the role of Piwil1 in mouse neocorticogenesis, finding it essential for cell cycle, neuron migration, and dendritogenesis, with effects independent of piRNA expression.