Jorge Jovicich

The paper shows that excitation-inhibition balance is reflected in long-range cortical dynamics and is state-dependent, extending beyond fMRI to arousal-linked dynamics.

This paper evaluates the sensitivity of spin-lock fMRI for detecting neuronal magnetic fields in vivo, finding it insufficient compared to MEG and BOLD-fMRI.

This paper evaluates transfer learning for adapting a deep learning model trained on healthy data to segment white matter bundles in glioma patients, finding performance drops due to domain shift and partial success of transfer learning.

This study examines how different temporal resolutions in resting-state fMRI affect subject identifiability through functional connectivity fingerprinting.

This study investigates whether transfer learning can improve segmentation of white matter bundles in glioma patients by addressing domain shift between healthy and patient data.

This study examines how neural excitation-inhibition balance dynamics change with cognitive load and their impact on functional connectivity during working memory tasks.

This study evaluates thalamic nuclei segmentation using compressed sensing MRI and FastSurfer, finding minimal sequence effects and comparable segmentation quality between methods.

This work evaluates how white matter registration methods affect tractogram alignment using homologous fiber structures as a benchmark.

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.

This study evaluates how different preprocessing pipelines affect static and dynamic functional connectivity metrics in healthy controls and Parkinson's disease patients, showing dynamic connectivity is highly sensitive to motion correction methods.

The paper investigates how early blindness affects brain networks involved in spatial hearing, finding enhanced motion direction coding in hMT+/V5 and reduced coding in hPT in blind individuals.

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.

This study identifies direct white matter connections between auditory and visual motion-selective brain regions in humans, proposing a new anatomical pathway called the middle occipito-temporal track.

This paper compares normalization pipelines for diffusion MRI to improve longitudinal measurement of tissue microstructure in brain gray and white matter.

This study examines structural connectivity changes in the face-voice system in early deaf individuals compared to hearing controls, finding preserved macrostructural connections but altered microstructural properties.