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Volumn 18, Issue 5, 2015, Pages 744-751

Learning-induced autonomy of sensorimotor systems

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; ASSOCIATION CORTEX; BOLD SIGNAL; BRAIN REGION; CINGULATE GYRUS; CONNECTOME; EXECUTIVE FUNCTION; FEMALE; FRONTAL CORTEX; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HUMAN; HUMAN EXPERIMENT; LEARNING; MALE; MOTOR PERFORMANCE; NEUROMODULATION; NORMAL HUMAN; PRIORITY JOURNAL; SENSORIMOTOR FUNCTION; STRIATE CORTEX; TASK PERFORMANCE; ARTIFICIAL NEURAL NETWORK; ASSOCIATION; BRAIN MAPPING; FRONTAL LOBE; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; SENSORIMOTOR CORTEX; YOUNG ADULT;

EID: 84928705434     PISSN: 10976256     EISSN: 15461726     Source Type: Journal    
DOI: 10.1038/nn.3993     Document Type: Article
Times cited : (469)

References (86)
  • 1
    • 84891350310 scopus 로고    scopus 로고
    • A theory for how sensorimotor skills are learned and retained in noisy and nonstationary neural circuits
    • 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).
    • (2013) Proc. Natl. Acad. Sci. USA , vol.110 , pp. E5078-E5087
    • Ajemian, R.1    D'Ausilio, A.2    Moorman, H.3    Bizzi, E.4
  • 2
    • 34548229976 scopus 로고    scopus 로고
    • Evidence for a distributed hierarchy of action representation in the brain
    • Grafton, S.T. & Hamilton, A.F. Evidence for a distributed hierarchy of action representation in the brain. Hum. Mov. Sci. 26, 590-616 (2007).
    • (2007) Hum. Mov. Sci. , vol.26 , pp. 590-616
    • Grafton, S.T.1    Hamilton, A.F.2
  • 3
    • 84860728997 scopus 로고    scopus 로고
    • The motor system and its disorders
    • Rowe, J.B. & Siebner, H.R. The motor system and its disorders. Neuroimage 61, 464-477 (2012).
    • (2012) Neuroimage , vol.61 , pp. 464-477
    • Rowe, J.B.1    Siebner, H.R.2
  • 4
    • 34247112688 scopus 로고    scopus 로고
    • Functional connectivity of cortical networks involved in bimanual motor sequence learning
    • 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).
    • (2007) Cereb. Cortex , vol.17 , pp. 1227-1234
    • Sun, F.T.1    Miller, L.M.2    Rao, A.A.3    D'Esposito, M.4
  • 5
    • 60149108674 scopus 로고    scopus 로고
    • Long-term motor training induced changes in regional cerebral blood fow in both task and resting states
    • Xiong, J. et al. Long-term motor training induced changes in regional cerebral blood fow in both task and resting states. Neuroimage 45, 75-82 (2009).
    • (2009) Neuroimage , vol.45 , pp. 75-82
    • Xiong, J.1
  • 6
    • 17544370819 scopus 로고    scopus 로고
    • The predictive value of changes in effective connectivity for human learning
    • Büchel, C., Coull, J.T. & Friston, K.J. The predictive value of changes in effective connectivity for human learning. Science 283, 1538-1541 (1999).
    • (1999) Science , vol.283 , pp. 1538-1541
    • Büchel, C.1    Coull, J.T.2    Friston, K.J.3
  • 9
    • 68449088228 scopus 로고    scopus 로고
    • Human brain networks in health and disease
    • Bassett, D.S. & Bullmore, E.T. Human brain networks in health and disease. Curr. Opin. Neurol. 22, 340-347 (2009).
    • (2009) Curr. Opin. Neurol. , vol.22 , pp. 340-347
    • Bassett, D.S.1    Bullmore, E.T.2
  • 11
    • 79953664777 scopus 로고    scopus 로고
    • Brain graphs: Graphical models of the human brain connectome
    • Bullmore, E.T. & Bassett, D.S. Brain graphs: graphical models of the human brain connectome. Annu. Rev. Clin. Psychol. 7, 113-140 (2011).
    • (2011) Annu. Rev. Clin. Psychol. , vol.7 , pp. 113-140
    • Bullmore, E.T.1    Bassett, D.S.2
  • 13
    • 79955467238 scopus 로고    scopus 로고
    • Dynamic reconfguration of human brain networks during learning
    • Bassett, D.S. et al. Dynamic reconfguration of human brain networks during learning. Proc. Natl. Acad. Sci. USA 108, 7641-7646 (2011).
    • (2011) Proc. Natl. Acad. Sci. USA , vol.108 , pp. 7641-7646
    • Bassett, D.S.1
  • 14
    • 84883099746 scopus 로고    scopus 로고
    • Task-based core-periphery structure of human brain dynamics
    • Bassett, D.S. et al. Task-based core-periphery structure of human brain dynamics. PLoS Comput. Biol. 9, e1003171 (2013).
    • (2013) PLoS Comput. Biol. , vol.9 , pp. e1003171
    • Bassett, D.S.1
  • 15
    • 84866939709 scopus 로고    scopus 로고
    • Temporal networks
    • Holme, P. & Saramäki, J. Temporal networks. Phys. Rep. 519, 97-125 (2012).
    • (2012) Phys. Rep. , vol.519 , pp. 97-125
    • Holme, P.1    Saramäki, J.2
  • 16
    • 84942256852 scopus 로고    scopus 로고
    • Multilayer networks
    • Kivelä, M. et al. Multilayer networks. J. Complex Netw. 2, 203-271 (2014).
    • (2014) J. Complex Netw. , vol.2 , pp. 203-271
    • Kivelä, M.1
  • 17
    • 84875868755 scopus 로고    scopus 로고
    • Robust detection of dynamic community structure in networks
    • Bassett, D.S. et al. Robust detection of dynamic community structure in networks. Chaos 23, 013142 (2013).
    • (2013) Chaos , vol.23 , pp. 013142
    • Bassett, D.S.1
  • 18
    • 84955642847 scopus 로고    scopus 로고
    • Network methods to characterize brain structure and function
    • 5th edn (eds Gazzaniga, M.S. & Mangun, G.R.) Ch. 79 (MIT Press
    • 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).
    • (2013) The Cognitive Neurosciences
    • Bassett, D.S.1    Lynall, M.-E.2
  • 19
    • 84869229226 scopus 로고    scopus 로고
    • Dynamic network structure of interhemispheric coordination
    • Doron, K.W., Bassett, D.S. & Gazzaniga, M.S. Dynamic network structure of interhemispheric coordination. Proc. Natl. Acad. Sci. USA 109, 18661-18668 (2012).
    • (2012) Proc. Natl. Acad. Sci. USA , vol.109 , pp. 18661-18668
    • Doron, K.W.1    Bassett, D.S.2    Gazzaniga, M.S.3
  • 20
    • 84883073458 scopus 로고    scopus 로고
    • Dynamic network centrality summarizes learning in the human brain
    • Mantzaris, A.V. et al. Dynamic network centrality summarizes learning in the human brain. J. Complex Netw. 1, 83-92 (2013).
    • (2013) J. Complex Netw. , vol.1 , pp. 83-92
    • Mantzaris, A.V.1
  • 22
    • 1842646010 scopus 로고
    • Toward an instance theory of automatization
    • Logan, G.D. Toward an instance theory of automatization. Psychol. Rev. 95, 492-527 (1988).
    • (1988) Psychol. Rev. , vol.95 , pp. 492-527
    • Logan, G.D.1
  • 25
    • 25444488334 scopus 로고    scopus 로고
    • Human functional neuroimaging of brain changes associated with practice
    • Kelly, A.M. & Garavan, H. Human functional neuroimaging of brain changes associated with practice. Cereb. Cortex 15, 1089-1102 (2005).
    • (2005) Cereb. Cortex , vol.15 , pp. 1089-1102
    • Kelly, A.M.1    Garavan, H.2
  • 26
    • 84919958707 scopus 로고    scopus 로고
    • Cognitive control predicts use of model-based reinforcement learning
    • 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).
    • (2015) J. Cogn. Neurosci. , vol.27 , pp. 319-333
    • Otto, A.R.1    Skatova, A.2    Madlon-Kay, S.3    Daw, N.D.4
  • 27
    • 77952328459 scopus 로고    scopus 로고
    • Community structure in time-dependent, multiscale, and multiplex networks
    • Mucha, P.J., Richardson, T., Macon, K., Porter, M.A. & Onnela, J.-P. Community structure in time-dependent, multiscale, and multiplex networks. Science 328, 876-878 (2010).
    • (2010) Science , vol.328 , pp. 876-878
    • Mucha, P.J.1    Richardson, T.2    MacOn, K.3    Porter, M.A.4    Onnela, J.-P.5
  • 28
    • 81355153871 scopus 로고    scopus 로고
    • Functional network organization of the human brain
    • Power, J.D. et al. Functional network organization of the human brain. Neuron 72, 665-678 (2011).
    • (2011) Neuron , vol.72 , pp. 665-678
    • Power, J.D.1
  • 29
    • 83455258195 scopus 로고    scopus 로고
    • Neuroplasticity subserving motor skill learning
    • Dayan, E. & Cohen, L.G. Neuroplasticity subserving motor skill learning. Neuron 72, 443-454 (2011).
    • (2011) Neuron , vol.72 , pp. 443-454
    • Dayan, E.1    Cohen, L.G.2
  • 31
    • 21544444147 scopus 로고    scopus 로고
    • Distinguishable brain activation networks for short-and long-term motor skill learning
    • Floyer-Lea, A. & Matthews, P.M. Distinguishable brain activation networks for short-and long-term motor skill learning. J. Neurophysiol. 94, 512-518 (2005).
    • (2005) J. Neurophysiol. , vol.94 , pp. 512-518
    • Floyer-Lea, A.1    Matthews, P.M.2
  • 32
    • 0009723349 scopus 로고    scopus 로고
    • Presupplementary motor area activation during sequence learning refects visuo-motor association
    • Sakai, K. et al. Presupplementary motor area activation during sequence learning refects visuo-motor association. J. Neurosci. 19, RC1 (1999).
    • (1999) J. Neurosci. , vol.19 , pp. RC1
    • Sakai, K.1
  • 33
    • 0036386204 scopus 로고    scopus 로고
    • Motor sequence learning with the nondominant left hand. A PET functional imaging study
    • 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).
    • (2002) Exp. Brain Res. , vol.146 , pp. 369-378
    • Grafton, S.T.1    Hazeltine, E.2    Ivry, R.B.3
  • 34
    • 0031736616 scopus 로고    scopus 로고
    • Dynamic cortical involvement in implicit and explicit motor sequence learning. A PET study
    • Honda, M. et al. Dynamic cortical involvement in implicit and explicit motor sequence learning. A PET study. Brain 121, 2159-2173 (1998).
    • (1998) Brain , vol.121 , pp. 2159-2173
    • Honda, M.1
  • 35
    • 24644453515 scopus 로고    scopus 로고
    • Distinct basal ganglia territories are engaged in early and advanced motor sequence learning
    • 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).
    • (2005) Proc. Natl. Acad. Sci. USA , vol.102 , pp. 12566-12571
    • Lehéricy, S.1
  • 36
    • 84883096498 scopus 로고    scopus 로고
    • Intra-and inter-frequency brain network structure in health and schizophrenia
    • 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).
    • (2013) PLoS ONE , vol.8 , pp. e72351
    • Siebenhühner, F.1    Weiss, S.A.2    Coppola, R.3    Weinberger, D.R.4    Bassett, D.S.5
  • 37
    • 84877863934 scopus 로고    scopus 로고
    • Functional brain changes following cognitive and motor skills training: A quantitative meta-analysis
    • 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).
    • (2013) Neurorehabil. Neural Repair , vol.27 , pp. 187-199
    • Patel, R.1    Spreng, R.N.2    Turner, G.R.3
  • 38
    • 65549147665 scopus 로고    scopus 로고
    • Neural mechanisms of a genome-wide supported psychosis variant
    • Esslinger, C. et al. Neural mechanisms of a genome-wide supported psychosis variant. Science 324, 605 (2009).
    • (2009) Science , vol.324 , pp. 605
    • Esslinger, C.1
  • 39
    • 70350041323 scopus 로고    scopus 로고
    • The multifaceted nature of the relationship between performance and brain activity in motor sequence learning
    • Orban, P. et al. The multifaceted nature of the relationship between performance and brain activity in motor sequence learning. Neuroimage 49, 694-702 (2010).
    • (2010) Neuroimage , vol.49 , pp. 694-702
    • Orban, P.1
  • 40
    • 84895058199 scopus 로고    scopus 로고
    • Divergent task-dependent functional connectivity of executive control and salience networks
    • Elton, A. & Gao, W. Divergent task-dependent functional connectivity of executive control and salience networks. Cortex 51, 56-66 (2014).
    • (2014) Cortex , vol.51 , pp. 56-66
    • Elton, A.1    Gao, W.2
  • 41
    • 65349086962 scopus 로고    scopus 로고
    • Neural correlates of executive control functions in the monkey
    • Stoet, G. & Snyder, L.H. Neural correlates of executive control functions in the monkey. Trends Cogn. Sci. 13, 228-234 (2009).
    • (2009) Trends Cogn. Sci. , vol.13 , pp. 228-234
    • Stoet, G.1    Snyder, L.H.2
  • 42
    • 84880660982 scopus 로고    scopus 로고
    • The expected value of control: An integrative theory of anterior cingulate cortex function
    • 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).
    • (2013) Neuron , vol.79 , pp. 217-240
    • Shenhav, A.1    Botvinick, M.M.2    Cohen, J.D.3
  • 45
    • 84881089217 scopus 로고    scopus 로고
    • Cognitive control over learning: Creating, clustering, and generalizing task-set structure
    • Collins, A.G. & Frank, M.J. Cognitive control over learning: creating, clustering, and generalizing task-set structure. Psychol. Rev. 120, 190-229 (2013).
    • (2013) Psychol. Rev. , vol.120 , pp. 190-229
    • Collins, A.G.1    Frank, M.J.2
  • 46
    • 77952018773 scopus 로고    scopus 로고
    • Disruption of the dorsolateral prefrontal cortex facilitates the consolidation of procedural skills
    • 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).
    • (2010) J. Cogn. Neurosci. , vol.22 , pp. 1158-1164
    • Galea, J.M.1    Albert, N.B.2    Ditye, T.3    Miall, R.C.4
  • 47
    • 80052535257 scopus 로고    scopus 로고
    • Neurological principles and rehabilitation of action disorders: Computation anatomy and physiology (CAP) model
    • 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).
    • (2011) Neurorehabil. Neural Repair , vol.25 , pp. 6S-20S
    • Frey, S.H.1
  • 48
    • 84885347308 scopus 로고    scopus 로고
    • The enemy within: Propagation of aberrant corticostriatal learning to cortical function in Parkinson's disease
    • 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).
    • (2013) Front. Neurol. , vol.4 , pp. 134
    • Beeler, J.A.1    Petzinger, G.2    Jakowec, M.W.3
  • 49
    • 58849159193 scopus 로고    scopus 로고
    • The future of restorative neurosciences in stroke: Driving the translational research pipeline from basic science to rehabilitation of people after stroke
    • 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).
    • (2009) Neurorehabil. Neural Repair , vol.23 , pp. 97-107
  • 50
    • 84885122901 scopus 로고    scopus 로고
    • Noninvasive brain stimulation in neurorehabilitation
    • Sandrini, M. & Cohen, L.G. Noninvasive brain stimulation in neurorehabilitation. Handb. Clin. Neurol. 116, 499-524 (2013).
    • (2013) Handb. Clin. Neurol. , vol.116 , pp. 499-524
    • Sandrini, M.1    Cohen, L.G.2
  • 51
    • 0037200722 scopus 로고    scopus 로고
    • Estimating sample size in functional MRI (fMRI) neuroimaging studies: Statistical power analyses
    • Desmond, J.E. & Glover, G.H. Estimating sample size in functional MRI (fMRI) neuroimaging studies: statistical power analyses. J. Neurosci. Methods 118, 115-128 (2002).
    • (2002) J. Neurosci. Methods , vol.118 , pp. 115-128
    • Desmond, J.E.1    Glover, G.H.2
  • 54
    • 67651183598 scopus 로고    scopus 로고
    • Inside the brain of an elite athlete: The neural processes that support high achievement in sports
    • Yarrow, K., Brown, P. & Krakauer, J.W. Inside the brain of an elite athlete: the neural processes that support high achievement in sports. Nat. Rev. Neurosci. 10, 585-596 (2009).
    • (2009) Nat. Rev. Neurosci. , vol.10 , pp. 585-596
    • Yarrow, K.1    Brown, P.2    Krakauer, J.W.3
  • 55
    • 0002736175 scopus 로고
    • Learning and stability: A psychophysical analysis of a case of motor learning with clinical applications
    • Snoddy, G.S. Learning and stability: a psychophysical analysis of a case of motor learning with clinical applications. J. Appl. Psychol. 10, 1-36 (1926).
    • (1926) J. Appl. Psychol. , vol.10 , pp. 1-36
    • Snoddy, G.S.1
  • 56
    • 84929022974 scopus 로고
    • A theory of the acquisition of speed-skill
    • Crossman, E.R.F.W. A theory of the acquisition of speed-skill. Ergonomics 2, 153-166 (1959).
    • (1959) Ergonomics , vol.2 , pp. 153-166
    • Crossman, E.R.F.W.1
  • 57
    • 0002550143 scopus 로고
    • Mechanisms of skill acquisition and the law of practice
    • (ed Anderson, J.R.) Lawrence Erlbaum Associates
    • Newell, K.M. & Rosenbloom, P.S. Mechanisms of skill acquisition and the law of practice. In Cognitive Skills and Their Acquisition (ed Anderson, J.R.) 1-55 (Lawrence Erlbaum Associates, 1981).
    • (1981) Cognitive Skills and Their Acquisition , pp. 1-55
    • Newell, K.M.1    Rosenbloom, P.S.2
  • 58
    • 0034202776 scopus 로고    scopus 로고
    • The power law repealed: The case for an exponential law of practice
    • Heathcote, A., Brown, S. & Mewhort, D.J. The power law repealed: the case for an exponential law of practice. Psychon. Bull. Rev. 7, 185-207 (2000).
    • (2000) Psychon. Bull. Rev. , vol.7 , pp. 185-207
    • Heathcote, A.1    Brown, S.2    Mewhort, D.J.3
  • 59
    • 57649158932 scopus 로고    scopus 로고
    • The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced?
    • Murphy, K., Birn, R.M., Handwerker, D.A., Jones, T.B. & Bandettini, P.A. The impact of global signal regression on resting state correlations: are anti-correlated networks introduced? Neuroimage 44, 893-905 (2009).
    • (2009) Neuroimage , vol.44 , pp. 893-905
    • Murphy, K.1    Birn, R.M.2    Handwerker, D.A.3    Jones, T.B.4    Bandettini, P.A.5
  • 60
    • 84866121509 scopus 로고    scopus 로고
    • Trouble at rest: How correlation patterns and group differences become distorted after global signal regression
    • Saad, Z.S. et al. Trouble at rest: how correlation patterns and group differences become distorted after global signal regression. Brain Connect. 2, 25-32 (2012).
    • (2012) Brain Connect. , vol.2 , pp. 25-32
    • Saad, Z.S.1
  • 61
    • 83055172827 scopus 로고    scopus 로고
    • Anticorrelations in resting state networks without global signal regression
    • Chai, X.J., Castañón, A.N., Ongür, D. & Whitfeld-Gabrieli, S. Anticorrelations in resting state networks without global signal regression. Neuroimage 59, 1420-1428 (2012).
    • (2012) Neuroimage , vol.59 , pp. 1420-1428
    • Chai, X.J.1    Castañón, A.N.2    Ongür, D.3    Whitfeld-Gabrieli, S.4
  • 62
  • 63
    • 71849107069 scopus 로고    scopus 로고
    • Investigating hemodynamic response variability at the group level using basis functions
    • Steffener, J., Tabert, M., Reuben, A. & Stern, Y. Investigating hemodynamic response variability at the group level using basis functions. Neuroimage 49, 2113-2122 (2010).
    • (2010) Neuroimage , vol.49 , pp. 2113-2122
    • Steffener, J.1    Tabert, M.2    Reuben, A.3    Stern, Y.4
  • 64
    • 1942521179 scopus 로고    scopus 로고
    • FMRI analysis with the general linear model: Removal of latency-induced amplitude bias by incorporation of hemodynamic derivative terms
    • Calhoun, V.D., Stevens, M.C., Pearlson, G.D. & Kiehl, K.A. fMRI analysis with the general linear model: removal of latency-induced amplitude bias by incorporation of hemodynamic derivative terms. Neuroimage 22, 252-257 (2004).
    • (2004) Neuroimage , vol.22 , pp. 252-257
    • Calhoun, V.D.1    Stevens, M.C.2    Pearlson, G.D.3    Kiehl, K.A.4
  • 65
    • 60549103853 scopus 로고    scopus 로고
    • Complex brain networks: Graph theoretical analysis of structural and functional systems
    • Bullmore, E. & Sporns, O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 10, 186-198 (2009).
    • (2009) Nat. Rev. Neurosci. , vol.10 , pp. 186-198
    • Bullmore, E.1    Sporns, O.2
  • 66
    • 78649714368 scopus 로고    scopus 로고
    • Conserved and variable architecture of human white matter connectivity
    • Bassett, D.S., Brown, J.A., Deshpande, V., Carlson, J.M. & Grafton, S.T. Conserved and variable architecture of human white matter connectivity. Neuroimage 54, 1262-1279 (2011).
    • (2011) Neuroimage , vol.54 , pp. 1262-1279
    • Bassett, D.S.1    Brown, J.A.2    Deshpande, V.3    Carlson, J.M.4    Grafton, S.T.5
  • 67
    • 77349095673 scopus 로고    scopus 로고
    • Whole-brain anatomical networks: Does the choice of nodes matter?
    • Zalesky, A. et al. Whole-brain anatomical networks: does the choice of nodes matter? Neuroimage 50, 970-983 (2010).
    • (2010) Neuroimage , vol.50 , pp. 970-983
    • Zalesky, A.1
  • 68
    • 66149131099 scopus 로고    scopus 로고
    • Parcellation-dependent small-world brain functional networks: A resting-state fMRI study
    • Wang, J. et al. Parcellation-dependent small-world brain functional networks: a resting-state fMRI study. Hum. Brain Mapp. 30, 1511-1523 (2009).
    • (2009) Hum. Brain Mapp. , vol.30 , pp. 1511-1523
    • Wang, J.1
  • 69
    • 79954455075 scopus 로고    scopus 로고
    • Concepts and principles in the analysis of brain networks
    • Wig, G.S., Schlaggar, B.L. & Petersen, S.E. Concepts and principles in the analysis of brain networks. Ann. NY Acad. Sci. 1224, 126-146 (2011).
    • (2011) Ann. NY Acad. Sci. , vol.1224 , pp. 126-146
    • Wig, G.S.1    Schlaggar, B.L.2    Petersen, S.E.3
  • 70
    • 7044260964 scopus 로고    scopus 로고
    • Advances in functional and structural MR image analysis and implementation as FSL
    • Smith, S.M. et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23, S208-S219 (2004).
    • (2004) Neuroimage , vol.23 , pp. S208-S219
    • Smith, S.M.1
  • 71
    • 65549131149 scopus 로고    scopus 로고
    • Bayesian analysis of neuroimaging data in FSL
    • Woolrich, M.W. et al. Bayesian analysis of neuroimaging data in FSL. Neuroimage 45, S173-S186 (2009).
    • (2009) Neuroimage , vol.45 , pp. S173-S186
    • Woolrich, M.W.1
  • 72
    • 84876044828 scopus 로고    scopus 로고
    • Structural foundations of resting-state and task-based neural activity in the human brain
    • Hermundstad, A.M. et al. Structural foundations of resting-state and task-based neural activity in the human brain. Proc. Natl. Acad. Sci. USA 110, 6169-6174 (2013).
    • (2013) Proc. Natl. Acad. Sci. USA , vol.110 , pp. 6169-6174
    • Hermundstad, A.M.1
  • 73
    • 84901684466 scopus 로고    scopus 로고
    • Structurally-constrained relationships between cognitive states in the human brain
    • Hermundstad, A.M. et al. Structurally-constrained relationships between cognitive states in the human brain. PLoS Comput. Biol. 10, e1003591 (2014).
    • (2014) PLoS Comput. Biol. , vol.10 , pp. e1003591
    • Hermundstad, A.M.1
  • 75
    • 78650206811 scopus 로고    scopus 로고
    • Imaging the deep cerebellar nuclei: A probabilistic atlas and normalization procedure
    • Diedrichsen, J. et al. Imaging the deep cerebellar nuclei: a probabilistic atlas and normalization procedure. Neuroimage 54, 1786-1794 (2011).
    • (2011) Neuroimage , vol.54 , pp. 1786-1794
    • Diedrichsen, J.1
  • 76
    • 0242552191 scopus 로고    scopus 로고
    • Wavelets and statistical analysis of functional magnetic resonance images of the human brain
    • Bullmore, E. et al. Wavelets and statistical analysis of functional magnetic resonance images of the human brain. Stat. Methods Med. Res. 12, 375-399 (2003).
    • (2003) Stat. Methods Med. Res. , vol.12 , pp. 375-399
    • Bullmore, E.1
  • 77
    • 7044229944 scopus 로고    scopus 로고
    • Wavelets and functional magnetic resonance imaging of the human brain
    • Bullmore, E. et al. Wavelets and functional magnetic resonance imaging of the human brain. Neuroimage 23, S234-S249 (2004).
    • (2004) Neuroimage , vol.23 , pp. S234-S249
    • Bullmore, E.1
  • 78
    • 0031688146 scopus 로고    scopus 로고
    • Multidimensional wavelet analysis of functional magnetic resonance images
    • Brammer, M.J. Multidimensional wavelet analysis of functional magnetic resonance images. Hum. Brain Mapp. 6, 378-382 (1998).
    • (1998) Hum. Brain Mapp. , vol.6 , pp. 378-382
    • Brammer, M.J.1
  • 79
    • 30744439313 scopus 로고    scopus 로고
    • A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs
    • Achard, S., Salvador, R., Whitcher, B., Suckling, J. & Bullmore, E. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J. Neurosci. 26, 63-72 (2006).
    • (2006) J. Neurosci. , vol.26 , pp. 63-72
    • Achard, S.1    Salvador, R.2    Whitcher, B.3    Suckling, J.4    Bullmore, E.5
  • 81
    • 33847283332 scopus 로고    scopus 로고
    • Effciency and cost of economical brain functional networks
    • Achard, S. & Bullmore, E. Effciency and cost of economical brain functional networks. PLoS Comput. Biol. 3, e17 (2007).
    • (2007) PLoS Comput. Biol. , vol.3 , pp. e17
    • Achard, S.1    Bullmore, E.2
  • 84
    • 77954739673 scopus 로고    scopus 로고
    • Functional connectivity and brain networks in schizophrenia
    • Lynall, M.E. et al. Functional connectivity and brain networks in schizophrenia. J. Neurosci. 30, 9477-9487 (2010).
    • (2010) J. Neurosci. , vol.30 , pp. 9477-9487
    • Lynall, M.E.1
  • 86
    • 1242271382 scopus 로고    scopus 로고
    • Measuring interregional functional connectivity using coherence and partial coherence analyses of fMRI data
    • Sun, F.T., Miller, L.M. & D'Esposito, M. Measuring interregional functional connectivity using coherence and partial coherence analyses of fMRI data. Neuroimage 21, 647-658 (2004).
    • (2004) Neuroimage , vol.21 , pp. 647-658
    • Sun, F.T.1    Miller, L.M.2    D'Esposito, M.3


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