Corson N. Areshenkoff

This study shows that error-based and reinforcement-based motor learning share common neural network reconfigurations in higher-order brain regions, with task-specific differences in posterior medial cortex.

The paper links individual differences in sensorimotor adaptation rates to trait-like cognitive brain network structure using behavioral and fMRI data.

This study examines how cortical manifold structure changes during reward-based motor learning using fMRI, finding shifts in functional connectivity between sensorimotor and transmodal networks.

The paper identifies three distinct connectivity patterns with motor cortex during sensorimotor adaptation, each linked to different learning processes and generalizes one to explicit motor learning.

This study uses fMRI and manifold learning to show how cortical activity patterns change during sensorimotor adaptation, revealing contraction and expansion in specific brain regions.

The paper examines individual differences in sensorimotor adaptation by analyzing whole-brain functional network dynamics over two days of learning.

The paper investigates neural pathways for error-based and reinforcement motor learning using fMRI, finding distinct and shared architectures related to performance.

The paper investigates how neural excursions from a low-dimensional manifold structure in brain networks relate to intersubject variation in motor learning.

This paper shows that apparent fragmentation of brain networks under anesthesia is due to reduced functional connectivity, not structural changes.

The paper shows that motor planning modulates early auditory cortex activity before movement, with effector-specific information decoded from neural activity.

This study examines how increasing doses of isoflurane affect whole-brain modular structure in nonhuman primates, finding increased module fragmentation and decreased network cohesion.