journal article Apr 06, 2015

Learning-induced autonomy of sensorimotor systems

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References
86
[1]
Ajemian, R., D'Ausilio, A., Moorman, H. & Bizzi, E. A theory for how sensorimotor skills are learned and retained in noisy and nonstationary neural circuits. Proc. Natl. Acad. Sci. USA 110, E5078–E5087 (2013). 10.1073/pnas.1320116110
[2]
Grafton, S.T. & Hamilton, A.F. Evidence for a distributed hierarchy of action representation in the brain. Hum. Mov. Sci. 26, 590–616 (2007). 10.1016/j.humov.2007.05.009
[3]
Rowe, J.B. & Siebner, H.R. The motor system and its disorders. Neuroimage 61, 464–477 (2012). 10.1016/j.neuroimage.2011.12.042
[4]
Sun, F.T., Miller, L.M., Rao, A.A. & D'Esposito, M. Functional connectivity of cortical networks involved in bimanual motor sequence learning. Cereb. Cortex 17, 1227–1234 (2007). 10.1093/cercor/bhl033
[5]
Xiong, J. et al. Long-term motor training induced changes in regional cerebral blood flow in both task and resting states. Neuroimage 45, 75–82 (2009). 10.1016/j.neuroimage.2008.11.016
[6]
Büchel, C., Coull, J.T. & Friston, K.J. The predictive value of changes in effective connectivity for human learning. Science 283, 1538–1541 (1999). 10.1126/science.283.5407.1538
[7]
Fedorenko, E. & Thompson-Schill, S.L. Reworking the language network. Trends Cogn. Sci. 18, 120–126 (2014). 10.1016/j.tics.2013.12.006
[8]
Bassett, D.S. & Bullmore, E.T. Small-world brain networks. Neuroscientist 12, 512–523 (2006). 10.1177/1073858406293182
[9]
Bassett, D.S. & Bullmore, E.T. Human brain networks in health and disease. Curr. Opin. Neurol. 22, 340–347 (2009). 10.1097/wco.0b013e32832d93dd
[10]
Bassett, D.S. & Bullmore, E. Brain Anatomy and Small-world Networks (Betham, 2010).
[11]
Bullmore, E.T. & Bassett, D.S. Brain graphs: graphical models of the human brain connectome. Annu. Rev. Clin. Psychol. 7, 113–140 (2011). 10.1146/annurev-clinpsy-040510-143934
[12]
Sporns, O. Networks of the Brain (MIT Press, 2010). 10.7551/mitpress/8476.001.0001
[13]
Bassett, D.S. et al. Dynamic reconfiguration of human brain networks during learning. Proc. Natl. Acad. Sci. USA 108, 7641–7646 (2011). 10.1073/pnas.1018985108
[14]
Bassett, D.S. et al. Task-based core-periphery structure of human brain dynamics. PLoS Comput. Biol. 9, e1003171 (2013). 10.1371/journal.pcbi.1003171
[15]
Holme, P. & Saramäki, J. Temporal networks. Phys. Rep. 519, 97–125 (2012). 10.1016/j.physrep.2012.03.001
[16]
Kivelä, M. et al. Multilayer networks. J. Complex Netw. 2, 203–271 (2014). 10.1093/comnet/cnu016
[17]
Bassett, D.S. et al. Robust detection of dynamic community structure in networks. Chaos 23, 013142 (2013). 10.1063/1.4790830
[18]
Bassett, D.S. & Lynall, M.-E. Network methods to characterize brain structure and function. In The Cognitive Neurosciences 5th edn (eds Gazzaniga, M.S. & Mangun, G.R.) Ch. 79 (MIT Press, 2013). 10.7551/mitpress/9504.003.0101
[19]
Doron, K.W., Bassett, D.S. & Gazzaniga, M.S. Dynamic network structure of interhemispheric coordination. Proc. Natl. Acad. Sci. USA 109, 18661–18668 (2012). 10.1073/pnas.1216402109
[20]
Mantzaris, A.V. et al. Dynamic network centrality summarizes learning in the human brain. J. Complex Netw. 1, 83–92 (2013). 10.1093/comnet/cnt001
[21]
Bassett, D.S., Wymbs, N.F., Porter, M.A., Mucha, P.J. & Grafton, S.T. Cross-linked structure of network evolution. Chaos 24, 013112 (2014). 10.1063/1.4858457
[22]
Logan, G.D. Toward an instance theory of automatization. Psychol. Rev. 95, 492–527 (1988). 10.1037/0033-295x.95.4.492
[23]
Hikosaka, O., Nakamura, K., Sakai, K. & Nakahara, H. Central mechanisms of motor skill learning. Curr. Opin. Neurobiol. 12, 217–222 (2002). 10.1016/s0959-4388(02)00307-0
[24]
Petersen, S.E., van Mier, H., Fiez, J.A. & Raichle, M.E. The effects of practice on the functional anatomy of task performance. Proc. Natl. Acad. Sci. USA 95, 853–860 (1998). 10.1073/pnas.95.3.853
[25]
Kelly, A.M. & Garavan, H. Human functional neuroimaging of brain changes associated with practice. Cereb. Cortex 15, 1089–1102 (2005). 10.1093/cercor/bhi005
[26]
Otto, A.R., Skatova, A., Madlon-Kay, S. & Daw, N.D. Cognitive control predicts use of model-based reinforcement learning. J. Cogn. Neurosci. 27, 319–333 (2015). 10.1162/jocn_a_00709
[27]
Community Structure in Time-Dependent, Multiscale, and Multiplex Networks

Peter J. Mucha, Thomas Richardson, Kevin Macon et al.

Science 2010 10.1126/science.1184819
[28]
Power, J.D. et al. Functional network organization of the human brain. Neuron 72, 665–678 (2011). 10.1016/j.neuron.2011.09.006
[29]
Dayan, E. & Cohen, L.G. Neuroplasticity subserving motor skill learning. Neuron 72, 443–454 (2011). 10.1016/j.neuron.2011.10.008
[30]
Bassett, D.S., Nelson, B.G., Mueller, B.A., Camchong, J. & Lim, K.O. Altered resting state complexity in schizophrenia. Neuroimage 59, 2196–2207 (2012). 10.1016/j.neuroimage.2011.10.002
[31]
Floyer-Lea, A. & Matthews, P.M. Distinguishable brain activation networks for short- and long-term motor skill learning. J. Neurophysiol. 94, 512–518 (2005). 10.1152/jn.00717.2004
[32]
Sakai, K. et al. Presupplementary motor area activation during sequence learning reflects visuo-motor association. J. Neurosci. 19, RC1 (1999). 10.1523/jneurosci.19-10-j0002.1999
[33]
Grafton, S.T., Hazeltine, E. & Ivry, R.B. Motor sequence learning with the nondominant left hand. A PET functional imaging study. Exp. Brain Res. 146, 369–378 (2002). 10.1007/s00221-002-1181-y
[34]
Honda, M. et al. Dynamic cortical involvement in implicit and explicit motor sequence learning. A PET study. Brain 121, 2159–2173 (1998). 10.1093/brain/121.11.2159
[35]
Lehéricy, S. et al. Distinct basal ganglia territories are engaged in early and advanced motor sequence learning. Proc. Natl. Acad. Sci. USA 102, 12566–12571 (2005). 10.1073/pnas.0502762102
[36]
Siebenhühner, F., Weiss, S.A., Coppola, R., Weinberger, D.R. & Bassett, D.S. Intra- and inter-frequency brain network structure in health and schizophrenia. PLoS ONE 8, e72351 (2013). 10.1371/journal.pone.0072351
[37]
Patel, R., Spreng, R.N. & Turner, G.R. Functional brain changes following cognitive and motor skills training: a quantitative meta-analysis. Neurorehabil. Neural Repair 27, 187–199 (2013). 10.1177/1545968312461718
[38]
Esslinger, C. et al. Neural mechanisms of a genome-wide supported psychosis variant. Science 324, 605 (2009). 10.1126/science.1167768
[39]
Orban, P. et al. The multifaceted nature of the relationship between performance and brain activity in motor sequence learning. Neuroimage 49, 694–702 (2010). 10.1016/j.neuroimage.2009.08.055
[40]
Elton, A. & Gao, W. Divergent task-dependent functional connectivity of executive control and salience networks. Cortex 51, 56–66 (2014). 10.1016/j.cortex.2013.10.012
[41]
Stoet, G. & Snyder, L.H. Neural correlates of executive control functions in the monkey. Trends Cogn. Sci. 13, 228–234 (2009). 10.1016/j.tics.2009.02.002
[42]
Shenhav, A., Botvinick, M.M. & Cohen, J.D. The expected value of control: an integrative theory of anterior cingulate cortex function. Neuron 79, 217–240 (2013). 10.1016/j.neuron.2013.07.007
[43]
Chrysikou, E.G., Weber, M.J. & Thompson-Schill, S.L. A matched filter hypothesis for cognitive control. Neuropsychologia 62, 341–355 (2013). 10.1016/j.neuropsychologia.2013.10.021
[44]
Thompson-Schill, S.L., Ramscar, M. & Chrysikou, E.G. Cognition without control: when a little frontal lobe goes a long way. Curr. Dir. Psychol. Sci. 18, 259–263 (2009). 10.1111/j.1467-8721.2009.01648.x
[45]
Collins, A.G. & Frank, M.J. Cognitive control over learning: creating, clustering, and generalizing task-set structure. Psychol. Rev. 120, 190–229 (2013). 10.1037/a0030852
[46]
Galea, J.M., Albert, N.B., Ditye, T. & Miall, R.C. Disruption of the dorsolateral prefrontal cortex facilitates the consolidation of procedural skills. J. Cogn. Neurosci. 22, 1158–1164 (2010). 10.1162/jocn.2009.21259
[47]
Frey, S.H. et al. Neurological principles and rehabilitation of action disorders: computation, anatomy, and physiology (CAP) model. Neurorehabil. Neural Repair 25, 6S–20S (2011). 10.1177/1545968311410940
[48]
Beeler, J.A., Petzinger, G. & Jakowec, M.W. The enemy within: propagation of aberrant corticostriatal learning to cortical function in Parkinson's disease. Front. Neurol. 4, 134 (2013). 10.3389/fneur.2013.00134
[49]
Cumberland Consensus Working Group et al. The future of restorative neurosciences in stroke: driving the translational research pipeline from basic science to rehabilitation of people after stroke. Neurorehabil. Neural Repair 23, 97–107 (2009). 10.1177/1545968308326636
[50]
Sandrini, M. & Cohen, L.G. Noninvasive brain stimulation in neurorehabilitation. Handb. Clin. Neurol. 116, 499–524 (2013). 10.1016/b978-0-444-53497-2.00040-1

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Published
Apr 06, 2015
Vol/Issue
18(5)
Pages
744-751
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Cite This Article
Danielle S Bassett, Muzhi Yang, Nicholas F Wymbs, et al. (2015). Learning-induced autonomy of sensorimotor systems. Nature Neuroscience, 18(5), 744-751. https://doi.org/10.1038/nn.3993
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