Jessica Lee Wisnowski

The paper estimates age-related changes in metabolite relaxation times in pediatric thalamus using MRS and provides linear equations for age-specific correction.

The paper analyzes age-related changes in neurometabolite concentrations in infants using 1H-MRS data from the HBCD study, finding significant increases in some metabolites and decreases in others.

Untamed improves cortical parcellation by combining tensor decomposition and graph node embedding, producing spatially coherent regions aligned with functional networks.

The paper describes improvements in diffusion MRI processing for the HBCD study, introducing new software and observing developmental patterns in brain data.

The paper introduces Baby Open Brains (BOBs), an open-source repository of manually curated infant brain segmentations to improve reproducibility in neuroimaging research.

This study compares the test-retest reproducibility of DESPOT and QALAS for T1 and T2 mapping in healthy volunteers, finding QALAS provides better reproducibility and reduced acquisition time.

The paper evaluates the ISTHMUS MRS sequence for reproducibility and data quality in the HBCD study, finding improved T2 correction and reduced operator workload.

This paper introduces an automated MRS analysis workflow that reduces manual steps and integrates with neuroimaging standards, improving efficiency and scalability.

The paper presents a high-resolution MRI atlas with two parcellation schemes, using structural and functional data to improve cortical sub-parcellation.

This paper introduces a functional network atlas of the human brain using rs-fMRI data, identifying 23 networks that are spatially overlapped and temporally correlated, and shows their association with ADHD.

This study examines structural network maturation in preterm and term-born neonates using diffusion MRI, finding faster increases in hub and rich-club connectivity during the third trimester.