Corson N. Areshenkoff

A shared functional architecture for error-based and reinforcement-based motor learning in the human brain

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.

Individual variability in sensorimotor learning reflects trait-like neurobehavioral subject factors

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

Reconfigurations of cortical manifold structure during reward-based motor learning

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.

Distinct patterns of connectivity with motor cortex reflect component processes of sensorimotor learning

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.

Distinct patterns of cortical manifold expansion and contraction underlie human sensorimotor adaptation

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.

Whole-brain dynamics of human sensorimotor adaptation

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

Separate and shared low-dimensional neural architectures for error-based and reinforcement motor learning

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

Neural Excursions from Low-Dimensional Manifold Structure Explain Intersubject Variation in Human Motor Learning

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

Muting, not fragmentation, of functional brain networks under general anesthesia

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

Motor planning modulates neural activity patterns in early human auditory cortex

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

Dynamic reconfiguration, fragmentation and integration of whole-brain modular structure across depths of unconsciousness

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