Caroline Nettekoven

The paper examines age-related changes in cerebellar gray matter volume across different regions and finds heterogeneous decline with no significant relationship to topological organization or sensorimotor function.

This study shows that individualized parcellation of the human prefrontal cortex reveals sharp functional boundaries not visible in group atlases, suggesting a mosaic of fine-grained subdivisions within large-scale gradients.

This paper introduces multi-task batteries for functional brain mapping, showing they improve localization and parcellation compared to single-contrast approaches.

This study shows that multi-task fMRI better predicts brain functional organization than resting-state fMRI across diverse tasks and datasets.

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 closed-loop tACS to enhance beta ERS during motor tasks, improving motor adaptation retention.

This study shows baclofen, a GABAB receptor agonist, impairs motor learning and reduces expected decreases in GABA levels during motor learning.

This paper introduces a hierarchical Bayesian framework that fuses task-based and resting-state neuro-imaging datasets to create a population-based atlas of the human cerebellum, achieving better individual parcellations with limited data.

This paper presents a hierarchical functional atlas of the human cerebellum integrating multiple datasets, improving individual precision mapping and enabling analysis at different levels of granularity.

This study shows that motor training improves cortico-cerebellar connectivity in cerebellar ataxia patients, with specific effects depending on the type of feedback used during training.

The paper investigates task-dependent gating of neocortical inputs to the cerebellum using fMRI, finding that cerebellar activity increases more than expected during speed-related tasks and working memory encoding.

This study uses MRSI to show GABA changes in the cerebellum during visuomotor adaptation correlate with performance and network connectivity.

This paper investigates how the electric field induced by tDCS in the motor cortex correlates with changes in GABA levels, finding that grey matter volume modulates this relationship.

The paper investigates how GABA levels and functional connectivity in M1 and cerebellum relate to retention of visuomotor adaptation.