Ruth Tuura

This paper uses graph convolutional networks to classify neonatal brain connectomes by etiology at voxel-level granularity, achieving higher classification performance than atlas-based methods and a multilayer perceptron baseline.

This study uses diffusion MRI to map thalamic topography across development, showing stable topography but reduced volumes and increased relative volume in CHD infants.

This study uses deformation-based morphometry on longitudinal MRI scans to analyze changes in brain asymmetry from fetal to neonatal stages, identifying key regions of asymmetry and developmental shifts.

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.

The paper links thalamocortical connectivity in preterm infants to mental developmental outcomes using diffusion MRI.

The paper examines changes in cerebral and peripheral markers of glutamatergic signaling across the human sleep-wake cycle and finds that sleep loss increases glutamate and mGluR5 availability, which normalize with recovery sleep.

The paper investigates if brain growth rates in newborns with congenital heart disease correlate with language development at 12 months, finding a significant link between left planum temporale growth and language scores.

This study uses connectomic analysis to show that early high-dose EPO in preterm infants strengthens brain connectivity, particularly in frontal and temporal lobes, and increases network segregation.

This study uses 1H-MRS to show that glutamate + glutamine levels decrease overnight in healthy adults and correlate with sleep slow wave activity.

This paper assesses the within-subject reproducibility of IVIM parameters in fetal organs and placenta using MRI, finding variable reliability across different tissues.

This study evaluates the reproducibility of in utero diffusion tensor imaging metrics and white matter structure visibility in fetuses, finding higher reproducibility in normal brain development cases.