Bruce Robert Rosen

This paper measures blood velocity response timing across the vascular network using dynamic PC-fMRA, showing arterial and venous responses with distinct temporal delays.

Weakly supervised deep learning localizes focal tissue regions enriched for therapeutically relevant biology in routine histology, offering a scalable strategy to study therapeutic resistance across large patient populations.

The paper analyzes vasomotor rhythms in awake mice using fMRI to show their multiscale propagation patterns across the cortex.

This study uses MRI to show neural activity drives directional CSF flow in the subarachnoid space near activated brain regions in awake humans.

This study introduces SOPHI, a method to map ultra-slow CSF flow in the human brain, revealing coherent flow patterns linked to vascular anatomy and potential CSF efflux pathways.

The paper develops a computational framework to directly reconstruct mesoscale cortical conductivity maps from electron microscopy data, revealing structural heterogeneity in mouse visual cortex.

The paper analyzes synaptic cleft orientations in human and mouse brain data, finding directional biases that suggest mesoscale anisotropy in cortical layers.

The paper examines the relationship between fMRI-based network metrics and glucose metabolism across different brain states and diseases, finding state- and network-dependent metabolic associations.

This study shows high-frequency fMRI signals are linked to brain states and can predict spontaneous neural activity using machine learning.

This paper introduces a phase-contrast MRI technique to quantify slow cerebrospinal fluid flow in the human brain, showing cardiac pulsation drives brain-wide flow more than respiration.

This study uses EEG-PET-MRI to show how hemodynamic and metabolic dynamics change during wakefulness and NREM sleep, revealing coupled temporal patterns and distinct network activity.

This paper introduces a method to distinguish BOLD and non-BOLD signals in fMRI by analyzing cross-cortical depth delay patterns, demonstrating its effectiveness with visual task data.

The paper creates a high-resolution digital anatomical atlas of the human cerebellum at the level of individual folia, enabling detailed analysis and visualization of cerebellar data.

The paper introduces a standardized nomenclature for PET-based molecular connectivity and covariance to improve reproducibility and interpretation across imaging modalities and radiotracers.

This study shows that amphetamine differentially affects D1R and D2R internalization and recycling in nonhuman primates, with D1R showing excitatory signaling and D2R remaining internalized after repeated administration.

This paper develops a deep learning workflow to automatically analyze cardiac mechanics from cine-MRI data, showing high accuracy and reliability in strain and strain rate measurements.

This study examines cerebrovascular responses to breath-hold challenges in patients with chronic mild traumatic brain injury using respiratory gas exchange metrics and fMRI.

This study uses 7T fMRI to identify disrupted functional connectivity in ALS patients, particularly in cerebellar lobule VI, suggesting its involvement in ALS pathology.

This paper develops a method to reconstruct the cerebellar cortex from standard MRI using diffeomorphic registration of a high-resolution template, enabling accurate topographic reconstructions for neuroimaging applications.

The paper investigates the relationship between respiratory gas exchange metrics and cerebral hemodynamic fluctuations during spontaneous breathing, finding strong coupling between breath-by-breath O2-CO2 exchange ratio and low frequency CHF.

The paper assesses cerebrovascular reactivity using the O2-CO2 exchange ratio during breath hold challenges and finds it better correlates with CBF changes than individual PCO2 or PO2 changes.

The paper investigates how physiological processes like respiration and heart rate can create apparent brain connectivity patterns in resting-state fMRI data, challenging interpretations of functional networks.

The paper maps cerebrovascular reactivity impairment in episodic migraineurs using fMRI and MRA, finding reduced BOLD responses in MOA patients at the red nucleus.