Noam Shemesh

This paper identifies sources of variability in cerebral blood flow measurements using arterial spin labelling MRI in rodents and calls for standardized practices to improve reproducibility.

The paper uses ultrafast fMRI to show increased striatal coupling one week after ischemic stroke, which is not detectable with conventional fMRI.

The paper investigates push-pull interactions between superior colliculi in dynamic vision mode using rat functional MRI and lesions, finding frequency-dependent modulations in tectotectal pathways.

This study uses deuterium metabolic imaging to characterize metabolic heterogeneity in mouse glioblastoma models, linking glucose turnover kinetics to tumor phenotype differences and invasion capacity.

The paper uses ultrafast fMRI and a Layer-based Connective Field model to distinguish feedforward and feedback signaling in cortical circuits, revealing distinct layer-specific connectivity patterns.

This paper develops a high-resolution pCASL imaging setup for rodents, improving spatial resolution and enabling better delineation of brain areas in health and disease.

The paper assesses consistency of rat fMRI results across 12 centers using a unified pipeline and identifies variability due to experimental differences.

This study uses fMRI and IC lesions in rats to show that subcortical auditory push-pull interactions depend on intercollicular integrity and occur primarily at the inferior colliculus level.

This study uses MRI to measure blood-cerebrospinal fluid barrier function in a mouse model of Alzheimer's disease, finding increased water delivery through the barrier in early stages.

The paper investigates how the rat superior colliculus encodes the transition between static and dynamic vision modes using behavioural, fMRI, and electrophysiological methods, finding strong correlations between fMRI signals and behaviour in the SC.

This study maps brain-wide visual receptive fields and spatial frequency tuning in adult rats after visual experience, showing topographic remapping and functional sharpening.

This paper develops and tests two new PCA denoising strategies for spatially correlated MRI data, showing improved performance over traditional MP-PCA in both simulated and real-world scenarios.

The paper investigates sensory system aberrations in a Parkinson's Disease mouse model using fMRI and finds neural origins for observed deficits.

This paper introduces Correlation Tensor MRI (CTI) on a clinical 3T scanner to resolve kurtosis sources in the human brain, finding that microscopic kurtosis significantly contributes to total diffusional kurtosis in gray and white matter.

The paper detects intrinsic macroscale oscillatory modes in fMRI signals that drive long-range functional connectivity across brain structures under different anesthesia conditions.

The paper introduces SANDI, a diffusion MRI method for characterizing cellular and neurite densities in mouse brains, showing strong correlation with the Allen brain atlas.

This study uses optogenetics and fMRI to show that D1 and D2 MSNs in the striatum differentially activate brain regions beyond the basal ganglia, revealing complex functional interactions.

This paper introduces Correlation Tensor MRI (CTI) to improve detection of ischemia in neural tissue by analyzing diffusion correlations, showing enhanced sensitivity and specificity in grey and white matter.

This paper develops an fMRI approach for whole-brain activity recording in behaving mice, demonstrating its use in complex tasks and reducing movement artefacts.