Changes in functional connectivity and GABA levels with long-term motor learning

Sampaio-Baptista, C. , Filippini, N., Stagg, C. J., Near, J., Scholz, J. and Johansen-Berg, H. (2015) Changes in functional connectivity and GABA levels with long-term motor learning. NeuroImage, 106, pp. 15-20. (doi: 10.1016/j.neuroimage.2014.11.032) (PMID:25463472) (PMCID:PMC4405007)

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Learning novel motor skills alters local inhibitory circuits within primary motor cortex (M1) (Floyer-Lea et al., 2006) and changes long-range functional connectivity (Albert et al., 2009). Whether such effects occur with long-term training is less well established. In addition, the relationship between learning-related changes in functional connectivity and local inhibition, and their modulation by practice, has not previously been tested. Here, we used resting-state functional magnetic resonance imaging (rs-fMRI) to assess functional connectivity and MR spectroscopy to quantify GABA in primary motor cortex (M1) before and after a 6 week regime of juggling practice. Participants practiced for either 30 min (high intensity group) or 15 min (low intensity group) per day. We hypothesized that different training regimes would be reflected in distinct changes in brain connectivity and local inhibition, and that correlations would be found between learning-induced changes in GABA and functional connectivity. Performance improved significantly with practice in both groups and we found no evidence for differences in performance outcomes between the low intensity and high intensity groups. Despite the absence of behavioral differences, we found distinct patterns of brain change in the two groups: the low intensity group showed increases in functional connectivity in the motor network and decreases in GABA, whereas the high intensity group showed decreases in functional connectivity and no significant change in GABA. Changes in functional connectivity correlated with performance outcome. Learning-related changes in functional connectivity correlated with changes in GABA. The results suggest that different training regimes are associated with distinct patterns of brain change, even when performance outcomes are comparable between practice schedules. Our results further indicate that learning-related changes in resting-state network strength in part reflect GABAergic plastic processes.

Item Type:Articles
Additional Information:This work was supported by the Wellcome Trust (WT090955AIA to H J-B) and FCT (SFRH/BD/43862/2008 to C S-B). CJS holds a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (Grant Number 102584/Z/13/Z). The research was further supported by Marie Curie Actions (Adaptive Brain Computations network PITN-GA-2008-290011) and by the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre based at Oxford University Hospitals NHS Trust and University of Oxford.
Glasgow Author(s) Enlighten ID:Sampaio Baptista, Dr Cassandra
Authors: Sampaio-Baptista, C., Filippini, N., Stagg, C. J., Near, J., Scholz, J., and Johansen-Berg, H.
College/School:College of Medical Veterinary and Life Sciences > Institute of Neuroscience and Psychology
Journal Name:NeuroImage
ISSN (Online):1095-9572
Published Online:21 November 2014
Copyright Holders:Copyright © 2014 Elsevier Inc.
First Published:First published in NeuroImage 106: 15-20
Publisher Policy:Reproduced under a Creative Commons License

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