Carlos Roberto Hernandez-Castillo

This study tracks longitudinal changes in functional brain networks in SCA7 patients and finds significant network abnormalities linked to disease severity and cognitive decline.

The paper identifies two neuroanatomical subtypes of Long COVID with distinct structural brain patterns and cognitive profiles using MRI and cognitive assessments.

This paper develops voxelwise normative models of brain morphometry across the lifespan and applies them to study brain development after preterm birth and neurodegenerative disorders.

This study examines functional connectivity changes in SCA10 patients and links them to gray matter atrophy and clinical scores.

SUITPy improves cerebellar imaging analysis by isolating the cerebellum with a U-Net model, enhancing alignment and reducing contamination from surrounding cortical structures.

This study uses MRI volumetrics to analyze cerebellar and brainstem degeneration in SCA3, finding consistent atrophy patterns and reduced cerebrocerebellar covariance.

The paper introduces DCBC to evaluate brain parcellations by comparing their ability to predict functional boundaries in fMRI data, finding that anatomical parcellations underperform while resting-state and task-based parcellations perform better.

This study investigates how sensory feedback influences the control of skilled finger movement sequences, finding that haptic feedback drives rapid adjustments during execution.

This study shows that sensing an object slipping in the hand triggers rapid shoulder responses, which are modulated by slip direction and speed but not distance.

The paper uses a multi-domain task battery to create a new functional parcellation of the human cerebellum, showing distinct sub-regions not captured by traditional lobular boundaries.

This study finds no evidence of cortical reorganization after stroke using resting-state fMRI despite behavioral recovery.