Skip to main navigation Skip to search Skip to main content

Skill acquisition increases myelination and strengthens functional connectivity in the sensorimotor circuit of the adult rat

Research output: Working paperPreprintAcademic

2 Downloads (Pure)

Abstract

The effects of skill acquisition on whole-brain structure and functional networks have been extensively investigated in humans but have yet to be explored in rodents. Forelimb reaching training in rodents results in well-established focal functional and structural reorganization within the motor cortex (M1) and cerebellum, indicating distributed alterations in both structure and function. However, it is unclear how local alterations in structure and function relate to distributed learning-related changes across motor networks. Here we trained adult rats in skilled reaching and used multimodal whole-brain in vivo MRI to assess both structural and functional plasticity over time.We detected increases in a myelin-related MRI metric in white matter, cortical areas, and to a lesser extent in the cerebellum, paralleled by strengthened functional connectivity between M1 and cerebellum, possibly reflecting a decrease in cerebellum inhibition over M1. Skill learning therefore leads to myelin increases in pathways that connect sensorimotor regions, and in functional connectivity increases between areas involved in motor learning, all of which correlate with performance. These findings closely mirror previous reports of network-level changes following motor learning in humans and underlines the correspondence between human and rodent brain circuits for motor learning, despite important differences in the anatomy of physiology of movement circuits between species.
Original languageEnglish
PublisherBioRxiv
Number of pages19
DOIs
Publication statusPublished - 8 Jun 2019

Fingerprint

Dive into the research topics of 'Skill acquisition increases myelination and strengthens functional connectivity in the sensorimotor circuit of the adult rat'. Together they form a unique fingerprint.

Cite this