Joshua S. Shimony

This paper introduces SURF-EPI, a real-time imaging technique that simultaneously captures CSF and neurovascular flow dynamics with high temporal resolution and without cardiac gating.

The paper examines how aging affects cerebral glucose metabolism by analyzing spectral properties of resting-state fMRI signals and identifies a subset of older adults with divergent patterns linked to white matter pathology.

This paper develops a model for improving precision in measuring brain oxygen utilization using [15O] tracers and PET, showing that IDIFs provide more reliable results than AIFs.

This study uses a variational autoencoder to embed functional connectivity profiles into a latent space for simultaneous comparison across anatomical locations and groups.

This study develops a framework to analyze CSF flow patterns using low-b dMRI and identifies factors influencing these patterns across different brain regions.

The paper examines how prenatal socioeconomic status influences cortical network development from birth to three years, finding accelerated segregation in lower-SES groups and links to language abilities.

The paper evaluates structure-function coupling in individual brains using high-resolution neuroimaging data and finds that structural connections strongly predict function in visual/motor regions and specific cingulate circuits.

The paper examines the functional connectivity of the human red nucleus using resting-state fMRI and finds it is involved in goal-directed behavior and cognitive control rather than motor function.

The paper reveals that motor cortex contains inter-effector regions connected to the Cingulo-opercular network, alternating with effector-specific areas, suggesting a dual system for motor control and whole-body coordination.

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

The paper identifies distinct functional connectivity patterns in the hippocampus, showing anterior regions connect to the default mode network and posterior regions connect to the parietal memory network, supporting different cognitive processes.

This study evaluates diffusion imaging methods for individual-specific precision, finding that BaMM reduces overfitting and achieves better crossing-fiber accuracy with more data.

This study examines functional brain network changes and cognitive impairments in pediatric brain tumor patients, finding altered network organization and its link to cognitive performance.