Gray matter volume is associated with rate of subsequent skill learning after a long term training intervention

Cassandra Sampaio-Baptista, Jan Scholz, Mark Jenkinson, Adam G Thomas, Nicola Filippini, Gabrielle Smit, Gwenaëlle Douaud, Heidi Johansen-Berg, Cassandra Sampaio-Baptista, Jan Scholz, Mark Jenkinson, Adam G Thomas, Nicola Filippini, Gabrielle Smit, Gwenaëlle Douaud, Heidi Johansen-Berg

Abstract

The ability to predict learning performance from brain imaging data has implications for selecting individuals for training or rehabilitation interventions. Here, we used structural MRI to test whether baseline variations in gray matter (GM) volume correlated with subsequent performance after a long-term training of a complex whole-body task. 44 naïve participants were scanned before undertaking daily juggling practice for 6weeks, following either a high intensity or a low intensity training regime. To assess performance across the training period participants' practice sessions were filmed. Greater GM volume in medial occipito-parietal areas at baseline correlated with steeper learning slopes. We also tested whether practice time or performance outcomes modulated the degree of structural brain change detected between the baseline scan and additional scans performed immediately after training and following a further 4weeks without training. Participants with better performance had higher increases in GM volume during the period following training (i.e., between scans 2 and 3) in dorsal parietal cortex and M1. When contrasting brain changes between the practice intensity groups, we did not find any straightforward effects of practice time though practice modulated the relationship between performance and GM volume change in dorsolateral prefrontal cortex. These results suggest that practice time and performance modulate the degree of structural brain change evoked by long-term training regimes.

Keywords: MRI; Skill learning; Structural plasticity.

Copyright © 2014. Published by Elsevier Inc.

Figures

Fig. S1
Fig. S1
a) Learning curves for all participants. b) Learning and logarithm curve of a representative participant c) Average performance for all participants. Bars represent standard deviation.
Fig. 1
Fig. 1
Average performance score for each group per day. (0: 2 balls; 1: 1 cycle of 3-ball cascade; 2: 2 cycles; 3: 3 cycles; 4: 5–10 s of sustained 3-ball cascade; 5: 10–20 s; 6: 20–30 s; 7: > 30 s; 8: > 60 s; 9: > 60 s and at least one other pattern for  60 s and at least one other pattern for > 60 s). There is a significant effect of day but no significant interaction effect or significant differences between groups. Bars represent standard error.
Fig. 2
Fig. 2
Baseline GM volume correlates with subsequent learning rate. a) GM volume in right visual and parietal cortex at baseline correlates with subsequent learning rate. Yellow–red voxels represent significant clusters superimposed on MNI template. Color bar represents t-scores. b) Scatter plot showing the correlation between GM volume averaged across voxels in significant brain areas (shown in 2a) and learning rate for the low intensity group (dark gray symbols) and the high intensity group (black symbols) is displayed for visualization of the range of individual values only and not for inference. c) Regions where GM volume correlates with subsequent learning partly overlap with regions where GM changes with learning in the current study (see Fig. 4c). Yellow cluster corresponds to regions showing significant GM volume change after learning (from Fig. 4c), blue cluster represents regions showing a correlation between GM volume at baseline and learning rate (from Fig. 2a) and green cluster shows the intersection between both clusters. d) GM volume in bilateral DLPFC and SMA correlated with long-term-retention. Yellow–red voxels represent significant clusters superimposed on MNI template. Color bar represents t-scores. Clusters are shown at a corrected cluster extent threshold of p 

Fig. 3

Interaction effect between practice group…

Fig. 3

Interaction effect between practice group and average performance, between scan 1 and scan…

Fig. 3
Interaction effect between practice group and average performance, between scan 1 and scan 2. a) Yellow–red voxels correspond to the significant cluster, superimposed on MNI template. Color bar represents t-scores. b) Scatter plot of mean GM change and average performance correlation for the low intensity group (dark gray symbols) and the high intensity group (black symbols) are displayed for visualization of the range of values only and not for inference. Clusters are shown at a corrected cluster extent threshold of p 

Fig. 4

Longer term effects: Scans 1…

Fig. 4

Longer term effects: Scans 1 to 3 and scans 2 to 3. a)…

Fig. 4
Longer term effects: Scans 1 to 3 and scans 2 to 3. a) GM volume decreases between scans 1 and 3 in the left temporal cortex, insula and operculum. Blue–dark blue voxels correspond to the significant clusters. b) Mean GM values of the blue clusters throughout time relative to scan 1. c) GM volume increases between scans 2 and 3 in the visual and parietal cortex (Yellow–red voxels). d) Mean GM values of the yellow–red clusters at different time points relative to scan 1. e) GM volume decreases between scans 2 and 3 in the superior temporal gyrus, insula and operculum (Blue–dark blue voxels). f) Mean GM values of the blue clusters throughout time relative to scan 1. Plots are for illustrative purposes only and not for inference. Error bars represent standard error. Clusters are superimposed on MNI template. Color bars represent t-scores. Clusters are shown at a corrected cluster extent threshold of p 

Fig. 5

Participants with better performance have…

Fig. 5

Participants with better performance have higher GM increases during the follow-up period. a)…

Fig. 5
Participants with better performance have higher GM increases during the follow-up period. a) Cluster's mean GM change values correlation with the average performance after the learning period (between scans 2 and 3). b) Correlation plot between the average performance and GM change in a) is displayed for visualization of the range of individual values and not for inference. Color bar represents t-scores. Clusters are shown at a corrected cluster extent threshold of p 
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References
    1. Anderson B.J., Li X., Alcantara A.A., Isaacs K.R., Black J.E., Greenough W.T. Glial hypertrophy is associated with synaptogenesis following motor-skill learning, but not with angiogenesis following exercise. Glia. 1994;11:73–80. - PubMed
    1. Andersson J., Jenkinson M., Smith S. FMRIB Centre; Oxford (UK): 2007. Non-Linear Optimisation FMRIB Technical Report TR07JA1.
    1. Andersson J., Jenkinson M., Smith S. FMRIB Centre; Oxford (UK): 2007. Non-Linear Registration, aka Spatial Normalisation FMRIB Technical Report TR07JA2.
    1. Bezzola L., Merillat S., Gaser C., Jancke L. Training-induced neural plasticity in golf novices. J. Neurosci. 2011;31:12444–12448. - PMC - PubMed
    1. Boyke J., Driemeyer J., Gaser C., Buchel C., May A. Training-induced brain structure changes in the elderly. J. Neurosci. 2008;28:7031–7035. - PMC - PubMed
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Fig. 3
Fig. 3
Interaction effect between practice group and average performance, between scan 1 and scan 2. a) Yellow–red voxels correspond to the significant cluster, superimposed on MNI template. Color bar represents t-scores. b) Scatter plot of mean GM change and average performance correlation for the low intensity group (dark gray symbols) and the high intensity group (black symbols) are displayed for visualization of the range of values only and not for inference. Clusters are shown at a corrected cluster extent threshold of p 

Fig. 4

Longer term effects: Scans 1…

Fig. 4

Longer term effects: Scans 1 to 3 and scans 2 to 3. a)…

Fig. 4
Longer term effects: Scans 1 to 3 and scans 2 to 3. a) GM volume decreases between scans 1 and 3 in the left temporal cortex, insula and operculum. Blue–dark blue voxels correspond to the significant clusters. b) Mean GM values of the blue clusters throughout time relative to scan 1. c) GM volume increases between scans 2 and 3 in the visual and parietal cortex (Yellow–red voxels). d) Mean GM values of the yellow–red clusters at different time points relative to scan 1. e) GM volume decreases between scans 2 and 3 in the superior temporal gyrus, insula and operculum (Blue–dark blue voxels). f) Mean GM values of the blue clusters throughout time relative to scan 1. Plots are for illustrative purposes only and not for inference. Error bars represent standard error. Clusters are superimposed on MNI template. Color bars represent t-scores. Clusters are shown at a corrected cluster extent threshold of p 

Fig. 5

Participants with better performance have…

Fig. 5

Participants with better performance have higher GM increases during the follow-up period. a)…

Fig. 5
Participants with better performance have higher GM increases during the follow-up period. a) Cluster's mean GM change values correlation with the average performance after the learning period (between scans 2 and 3). b) Correlation plot between the average performance and GM change in a) is displayed for visualization of the range of individual values and not for inference. Color bar represents t-scores. Clusters are shown at a corrected cluster extent threshold of p 
Similar articles
Cited by
References
    1. Anderson B.J., Li X., Alcantara A.A., Isaacs K.R., Black J.E., Greenough W.T. Glial hypertrophy is associated with synaptogenesis following motor-skill learning, but not with angiogenesis following exercise. Glia. 1994;11:73–80. - PubMed
    1. Andersson J., Jenkinson M., Smith S. FMRIB Centre; Oxford (UK): 2007. Non-Linear Optimisation FMRIB Technical Report TR07JA1.
    1. Andersson J., Jenkinson M., Smith S. FMRIB Centre; Oxford (UK): 2007. Non-Linear Registration, aka Spatial Normalisation FMRIB Technical Report TR07JA2.
    1. Bezzola L., Merillat S., Gaser C., Jancke L. Training-induced neural plasticity in golf novices. J. Neurosci. 2011;31:12444–12448. - PMC - PubMed
    1. Boyke J., Driemeyer J., Gaser C., Buchel C., May A. Training-induced brain structure changes in the elderly. J. Neurosci. 2008;28:7031–7035. - PMC - PubMed
Show all 52 references
Publication types
MeSH terms
LinkOut - more resources
[x]
Cite
Copy Download .nbib
Format: AMA APA MLA NLM

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MeSH PMC Bookshelf Disclaimer

The PubMed wordmark and PubMed logo are registered trademarks of the U.S. Department of Health and Human Services (HHS). Unauthorized use of these marks is strictly prohibited.

Follow NCBI
Fig. 4
Fig. 4
Longer term effects: Scans 1 to 3 and scans 2 to 3. a) GM volume decreases between scans 1 and 3 in the left temporal cortex, insula and operculum. Blue–dark blue voxels correspond to the significant clusters. b) Mean GM values of the blue clusters throughout time relative to scan 1. c) GM volume increases between scans 2 and 3 in the visual and parietal cortex (Yellow–red voxels). d) Mean GM values of the yellow–red clusters at different time points relative to scan 1. e) GM volume decreases between scans 2 and 3 in the superior temporal gyrus, insula and operculum (Blue–dark blue voxels). f) Mean GM values of the blue clusters throughout time relative to scan 1. Plots are for illustrative purposes only and not for inference. Error bars represent standard error. Clusters are superimposed on MNI template. Color bars represent t-scores. Clusters are shown at a corrected cluster extent threshold of p 

Fig. 5

Participants with better performance have…

Fig. 5

Participants with better performance have higher GM increases during the follow-up period. a)…

Fig. 5
Participants with better performance have higher GM increases during the follow-up period. a) Cluster's mean GM change values correlation with the average performance after the learning period (between scans 2 and 3). b) Correlation plot between the average performance and GM change in a) is displayed for visualization of the range of individual values and not for inference. Color bar represents t-scores. Clusters are shown at a corrected cluster extent threshold of p 
Similar articles
Cited by
References
    1. Anderson B.J., Li X., Alcantara A.A., Isaacs K.R., Black J.E., Greenough W.T. Glial hypertrophy is associated with synaptogenesis following motor-skill learning, but not with angiogenesis following exercise. Glia. 1994;11:73–80. - PubMed
    1. Andersson J., Jenkinson M., Smith S. FMRIB Centre; Oxford (UK): 2007. Non-Linear Optimisation FMRIB Technical Report TR07JA1.
    1. Andersson J., Jenkinson M., Smith S. FMRIB Centre; Oxford (UK): 2007. Non-Linear Registration, aka Spatial Normalisation FMRIB Technical Report TR07JA2.
    1. Bezzola L., Merillat S., Gaser C., Jancke L. Training-induced neural plasticity in golf novices. J. Neurosci. 2011;31:12444–12448. - PMC - PubMed
    1. Boyke J., Driemeyer J., Gaser C., Buchel C., May A. Training-induced brain structure changes in the elderly. J. Neurosci. 2008;28:7031–7035. - PMC - PubMed
Show all 52 references
Publication types
MeSH terms
LinkOut - more resources
[x]
Cite
Copy Download .nbib
Format: AMA APA MLA NLM
Fig. 5
Fig. 5
Participants with better performance have higher GM increases during the follow-up period. a) Cluster's mean GM change values correlation with the average performance after the learning period (between scans 2 and 3). b) Correlation plot between the average performance and GM change in a) is displayed for visualization of the range of individual values and not for inference. Color bar represents t-scores. Clusters are shown at a corrected cluster extent threshold of p 

References

    1. Anderson B.J., Li X., Alcantara A.A., Isaacs K.R., Black J.E., Greenough W.T. Glial hypertrophy is associated with synaptogenesis following motor-skill learning, but not with angiogenesis following exercise. Glia. 1994;11:73–80.
    1. Andersson J., Jenkinson M., Smith S. FMRIB Centre; Oxford (UK): 2007. Non-Linear Optimisation FMRIB Technical Report TR07JA1.
    1. Andersson J., Jenkinson M., Smith S. FMRIB Centre; Oxford (UK): 2007. Non-Linear Registration, aka Spatial Normalisation FMRIB Technical Report TR07JA2.
    1. Bezzola L., Merillat S., Gaser C., Jancke L. Training-induced neural plasticity in golf novices. J. Neurosci. 2011;31:12444–12448.
    1. Boyke J., Driemeyer J., Gaser C., Buchel C., May A. Training-induced brain structure changes in the elderly. J. Neurosci. 2008;28:7031–7035.
    1. Cavanna A.E., Trimble M.R. The precuneus: a review of its functional anatomy and behavioural correlates. Brain. 2006;129:564–583.
    1. Chang F.L., Greenough W.T. Lateralized effects of monocular training on dendritic branching in adult split-brain rats. Brain Res. 1982;232:283–292.
    1. Culham J.C., Valyear K.F. Human parietal cortex in action. Curr. Opin. Neurobiol. 2006;16:205–212.
    1. Douaud G., Smith S., Jenkinson M., Behrens T., Johansen-Berg H., Vickers J., James S., Voets N., Watkins K., Matthews P.M., James A. Anatomically related grey and white matter abnormalities in adolescent-onset schizophrenia. Brain. 2007;130:2375–2386.
    1. Douaud G., Mackay C., Andersson J., James S., Quested D., Ray M.K., Connell J., Roberts N., Crow T.J., Matthews P.M., Smith S., James A. Schizophrenia delays and alters maturation of the brain in adolescence. Brain. 2009;132:2437–2448.
    1. Draganski B., Gaser C., Busch V., Schuierer G., Bogdahn U., May A. Neuroplasticity: changes in grey matter induced by training. Nature. 2004;427:311–312.
    1. Draganski B., Gaser C., Kempermann G., Kuhn H.G., Winkler J., Buchel C., May A. Temporal and spatial dynamics of brain structure changes during extensive learning. J. Neurosci. 2006;26:6314.
    1. Driemeyer J., Boyke J., Gaser C., Buchel C., May A. Changes in gray matter induced by learning—revisited. PLoS One. 2008;3:e2669.
    1. Eriksson P.S., Perfilieva E., Bjork-Eriksson T., Alborn A.M., Nordborg C., Peterson D.A., Gage F.H. Neurogenesis in the adult human hippocampus. Nat. Med. 1998;4:1313–1317.
    1. Gaser C., Schlaug G. Brain structures differ between musicians and non-musicians. J. Neurosci. 2003;23:9240–9245.
    1. Gaser C., Schlaug G. Gray matter differences between musicians and nonmusicians. Ann. N. Y. Acad. Sci. 2003;999:514–517.
    1. Good C.D., Johnsrude I.S., Ashburner J., Henson R.N., Friston K.J., Frackowiak R.S. A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage. 2001;14:21–36.
    1. Gould E., Beylin A., Tanapat P., Reeves A. Learning enhances adult neurogenesis in the hippocampal formation. Nat. Neurosci. 1999;2:260–265.
    1. Greenough W.T., Larson J.R., Withers G.S. Effects of unilateral and bilateral training in a reaching task on dendritic branching of neurons in the rat motor-sensory forelimb cortex. Behav. Neural Biol. 1985;44:301–314.
    1. Gryga M., Taubert M., Dukart J., Vollmann H., Conde V., Sehm B., Villringer A., Ragert P. Bidirectional gray matter changes after complex motor skill learning. Front. Syst. Neurosci. 2012;6:37.
    1. Hihara S., Notoya T., Tanaka M., Ichinose S., Ojima H., Obayashi S., Fujii N., Iriki A. Extension of corticocortical afferents into the anterior bank of the intraparietal sulcus by tool-use training in adult monkeys. Neuropsychologia. 2006;44:2636–2646.
    1. Hopfinger J.B., Buonocore M.H., Mangun G.R. The neural mechanisms of top-down attentional control. Nat. Neurosci. 2000;3:284–291.
    1. Hyde K.L., Lerch J., Norton A., Forgeard M., Winner E., Evans A.C., Schlaug G. Musical training shapes structural brain development. J. Neurosci. 2009;29:3019–3025.
    1. Johansen-Berg H., Della-Maggiore V., Behrens T.E.J., Smith S.M., Paus T. Integrity of white matter in the corpus callosum correlates with bimanual co-ordination skills. NeuroImage. 2007;36(Suppl. 2):T16–T21.
    1. Jueptner M., Stephan K.M., Frith C.D., Brooks D.J., Frackowiak R.S., Passingham R.E. Anatomy of motor learning. I. Frontal cortex and attention to action. J. Neurophysiol. 1997;77:1313–1324.
    1. Kantak S.S., Winstein C.J. Learning-performance distinction and memory processes for motor skills: a focused review and perspective. Behav. Brain Res. 2012;228:219–231.
    1. Kleim J.A., Lussnig E., Schwarz E.R., Comery T.A., Greenough W.T. Synaptogenesis and Fos expression in the motor cortex of the adult rat after motor skill learning. J. Neurosci. 1996;16:4529–4535.
    1. Kleim J.A., Barbay S., Nudo R.J. Functional reorganization of the rat motor cortex following motor skill learning. J. Neurophysiol. 1998;80:3321–3325.
    1. Kleim J.A., Hogg T.M., VandenBerg P.M., Cooper N.R., Bruneau R., Remple M. Cortical synaptogenesis and motor map reorganization occur during late, but not early, phase of motor skill learning. J. Neurosci. 2004;24:628–633.
    1. Kovacs G., Cziraki C., Greenlee M.W. Neural correlates of stimulus-invariant decisions about motion in depth. NeuroImage. 2010;51:329–335.
    1. Kuhn S., Romanowski A., Schilling C., Banaschewski T., Barbot A., Barker G.J., Bruhl R., Buchel C., Conrod P.J., Czech K., Dalley J.W., Flor H., Garavan H., Hake I., Ittermann B., Ivanov N., Mann K., Lathrop M., Loth E., Ludemann K., Mallik C., Martinot J.L., Palafox C., Poline J.B., Reuter J., Rietschel M., Robbins T.W., Smolka M.N., Nees F., Walaszek B., Schumann G., Heinz A., Gallinat J., consortium I. Manual dexterity correlating with right lobule VI volume in right-handed 14-year-olds. NeuroImage. 2012;59:1615–1621.
    1. Langer N., Hanggi J., Muller N.A., Simmen H.P., Jancke L. Effects of limb immobilization on brain plasticity. Neurology. 2012;78:182–188.
    1. Markham J., Greenough W. Experience-driven brain plasticity: beyond the synapse. Neuron Glia Biol. 2004;1:351–363.
    1. Nichols T.E., Holmes A.P. Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum. Brain Mapp. 2002;15:1–25.
    1. Plautz E., Milliken G., Nudo R. Effects of repetitive motor training on movement representations in adult squirrel monkeys: role of use versus learning. Neurobiol. Learn. Mem. 2000;74:27–55.
    1. Ramirez-Amaya V., Balderas I., Sandoval J., Escobar M., Bermudez-Rattoni F. Spatial long-term memory is related to mossy fiber synaptogenesis. J. Neurosci. 2001;21:7340–7348.
    1. Rudebeck S.R., Scholz J., Millington R., Rohenkohl G., Johansen-Berg H., Lee A.C. Fornix microstructure correlates with recollection but not familiarity memory. J. Neurosci. 2009;29:14987–14992.
    1. Sakai K., Hikosaka O., Miyauchi S., Takino R., Sasaki Y., Putz B. Transition of brain activation from frontal to parietal areas in visuomotor sequence learning. J. Neurosci. 1998;18:1827–1840.
    1. Scholz J., Klein M.C., Behrens T.E., Johansen-Berg H. Training induces changes in white-matter architecture. Nat. Neurosci. 2009;12:1370–1371.
    1. Smith S.M. Fast robust automated brain extraction. Hum. Brain Mapp. 2002;17:143–155.
    1. Smith S.M., Jenkinson M., Woolrich M.W., Beckmann C.F., Behrens T.E., Johansen-Berg H., Bannister P.R., De Luca M., Drobnjak I., Flitney D.E., Niazy R.K., Saunders J., Vickers J., Zhang Y., De Stefano N., Brady J.M., Matthews P.M. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage. 2004;23(Suppl 1):S208–219.
    1. Smith S.M., Jenkinson M., Johansen-Berg H., Rueckert D., Nichols T.E., Mackay C.E., Watkins K.E., Ciccarelli O., Cader M.Z., Matthews P.M., Behrens T.E. Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage. 2006;31:1487–1505.
    1. Supekar K., Swigart A.G., Tenison C., Jolles D.D., Rosenberg-Lee M., Fuchs L., Menon V. Neural predictors of individual differences in response to math tutoring in primary-grade school children. Proc. Natl. Acad. Sci. U. S. A. 2013;110:8230–8235.
    1. Taubert M., Draganski B., Anwander A., Muller K., Horstmann A., Villringer A., Ragert P. Dynamic properties of human brain structure: learning-related changes in cortical areas and associated fiber connections. J. Neurosci. 2010;30:11670–11677.
    1. Thomas C., Baker C.I. Teaching an adult brain new tricks: a critical review of evidence for training-dependent structural plasticity in humans. NeuroImage. 2013;73:225–236.
    1. Tomassini V., Jbabdi S., Kincses Z.T., Bosnell R., Douaud G., Pozzilli C., Matthews P.M., Johansen-Berg H. Structural and functional bases for individual differences in motor learning. Hum. Brain Mapp. 2011;32:494–508.
    1. van Gaal S., Scholte H.S., Lamme V.A., Fahrenfort J.J., Ridderinkhof K.R. Pre-SMA graymatter density predicts individual differences in action selection in the face of conscious and unconscious response conflict. J. Cogn. Neurosci. 2011;23:382–390.
    1. Wenderoth N., Debaere F., Sunaert S., Swinnen S.P. The role of anterior cingulate cortex and precuneus in the coordination of motor behaviour. Eur. J. Neurosci. 2005;22:235–246.
    1. Xu T., Yu X., Perlik A.J., Tobin W.F., Zweig J.A., Tennant K., Jones T., Zuo Y. Rapid formation and selective stabilization of synapses for enduring motor memories. Nature. 2009;462:915–919.
    1. Yang G., Pan F., Gan W.B. Stably maintained dendritic spines are associated with lifelong memories. Nature. 2009;462:920–924.
    1. Zatorre R.J., Fields R.D., Johansen-Berg H. Plasticity in gray and white: neuroimaging changes in brain structure during learning. Nat. Neurosci. 2012;15:528–536.
    1. Zhang Y., Brady M., Smith S. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans. Med. Imaging. 2001;20:45–57.

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