Sculpting the Intrinsic Modular Organization of Spontaneous Brain Activity by Art

Chia-Shu Lin, Yong Liu, Wei-Yuan Huang, Chia-Feng Lu, Shin Teng, Tzong-Ching Ju, Yong He, Yu-Te Wu, Tian-Zi Jiang, Jen-Chuen Hsieh

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Artistic training is a complex learning that requires the meticulous orchestration of sophisticated polysensory, motor, cognitive, and emotional elements of mental capacity to harvest an aesthetic creation. In this study, we investigated the architecture of the resting-state functional connectivity networks from professional painters, dancers and pianists. Using a graph-based network analysis, we focused on the art-related changes of modular organization and functional hubs in the resting-state functional connectivity network. We report that the brain architecture of artists consists of a hierarchical modular organization where art-unique and artistic form-specific brain states collectively mirror the mind states of virtuosos. We show that even in the resting state, this type of extraordinary and long-lasting training can macroscopically imprint a neural network system of spontaneous activity in which the related brain regions become functionally and topologically modularized in both domain-general and domain-specific manners. The attuned modularity reflects a resilient plasticity nurtured by long-term experience. © 2013 Lin et al.
Original languageEnglish
JournalPLoS One
Volume8
Issue number6
DOIs
Publication statusPublished - 2013
Externally publishedYes

Fingerprint

arts
Art
Brain
brain
aesthetics
Electric network analysis
Esthetics
neural networks
Plasticity
Mirrors
learning
Learning
Neural networks

Keywords

  • adult
  • art
  • article
  • brain function
  • brain region
  • controlled study
  • dancing
  • female
  • functional connectivity network
  • human
  • human experiment
  • male
  • nerve cell network
  • nerve cell plasticity
  • nonmedical occupations
  • painter
  • pianist
  • rest

Cite this

Lin, C-S., Liu, Y., Huang, W-Y., Lu, C-F., Teng, S., Ju, T-C., ... Hsieh, J-C. (2013). Sculpting the Intrinsic Modular Organization of Spontaneous Brain Activity by Art. PLoS One, 8(6). https://doi.org/10.1371/journal.pone.0066761

Sculpting the Intrinsic Modular Organization of Spontaneous Brain Activity by Art. / Lin, Chia-Shu; Liu, Yong; Huang, Wei-Yuan; Lu, Chia-Feng; Teng, Shin; Ju, Tzong-Ching; He, Yong; Wu, Yu-Te; Jiang, Tian-Zi; Hsieh, Jen-Chuen.

In: PLoS One, Vol. 8, No. 6, 2013.

Research output: Contribution to journalArticle

Lin, C-S, Liu, Y, Huang, W-Y, Lu, C-F, Teng, S, Ju, T-C, He, Y, Wu, Y-T, Jiang, T-Z & Hsieh, J-C 2013, 'Sculpting the Intrinsic Modular Organization of Spontaneous Brain Activity by Art', PLoS One, vol. 8, no. 6. https://doi.org/10.1371/journal.pone.0066761
Lin, Chia-Shu ; Liu, Yong ; Huang, Wei-Yuan ; Lu, Chia-Feng ; Teng, Shin ; Ju, Tzong-Ching ; He, Yong ; Wu, Yu-Te ; Jiang, Tian-Zi ; Hsieh, Jen-Chuen. / Sculpting the Intrinsic Modular Organization of Spontaneous Brain Activity by Art. In: PLoS One. 2013 ; Vol. 8, No. 6.
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abstract = "Artistic training is a complex learning that requires the meticulous orchestration of sophisticated polysensory, motor, cognitive, and emotional elements of mental capacity to harvest an aesthetic creation. In this study, we investigated the architecture of the resting-state functional connectivity networks from professional painters, dancers and pianists. Using a graph-based network analysis, we focused on the art-related changes of modular organization and functional hubs in the resting-state functional connectivity network. We report that the brain architecture of artists consists of a hierarchical modular organization where art-unique and artistic form-specific brain states collectively mirror the mind states of virtuosos. We show that even in the resting state, this type of extraordinary and long-lasting training can macroscopically imprint a neural network system of spontaneous activity in which the related brain regions become functionally and topologically modularized in both domain-general and domain-specific manners. The attuned modularity reflects a resilient plasticity nurtured by long-term experience. {\circledC} 2013 Lin et al.",
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author = "Chia-Shu Lin and Yong Liu and Wei-Yuan Huang and Chia-Feng Lu and Shin Teng and Tzong-Ching Ju and Yong He and Yu-Te Wu and Tian-Zi Jiang and Jen-Chuen Hsieh",
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(2009) Neuroimage, 44, pp. 893-905; Saad, Z.S., Gotts, S.J., Murphy, K., Chen, G., Jo, H.J., Trouble at rest: how correlation patterns and group differences become distorted after global signal regression (2012) Brain Connect, 2, pp. 25-32; Alexander-Bloch, A.F., Gogtay, N., Meunier, D., Birn, R., Clasen, L., Disrupted modularity and local connectivity of brain functional networks in childhood-onset schizophrenia (2010) Front Syst Neurosci, 4, p. 147; Latora, V., Marchiori, M., Economic small-world behavior in weighted networks (2003) The European Physical Journal B, 32, p. 15; Alexander-Bloch, A., Lambiotte, R., Roberts, B., Giedd, J., Gogtay, N., The discovery of population differences in network community structure: new methods and applications to brain functional networks in schizophrenia (2012) Neuroimage, 59, pp. 3889-3900; Tagliazucchi, E., von Wegner, F., Morzelewski, A., Brodbeck, V., Borisov, S., Large-scale brain functional modularity is reflected in slow electroencephalographic rhythms across the human non-rapid eye movement sleep cycle (2013) Neuroimage, 70, pp. 327-339; Dobromyslin, V.I., Salat, D.H., Fortier, C.B., Leritz, E.C., Beckmann, C.F., Distinct functional networks within the cerebellum and their relation to cortical systems assessed with independent component analysis (2012) Neuroimage, 60, pp. 2073-2085; Sang, L., Qin, W., Liu, Y., Han, W., Zhang, Y., Resting-state functional connectivity of the vermal and hemispheric subregions of the cerebellum with both the cerebral cortical networks and subcortical structures (2012) Neuroimage, 61, pp. 1213-1225; Liao, W., Zhang, Z., Pan, Z., Mantini, D., Ding, J., Altered functional connectivity and small-world in mesial temporal lobe epilepsy (2010) PLoS One, 5, pp. e8525; Liu, Y., Liang, M., Zhou, Y., He, Y., Hao, Y., Disrupted small-world networks in schizophrenia (2008) Brain, 131, pp. 945-961; van den Heuvel, M.P., Stam, C.J., Kahn, R.S., Hulshoff Pol, H.E., Efficiency of functional brain networks and intellectual performance (2009) J Neurosci, 29, pp. 7619-7624; Simonton, D.K., Varieties of (Scientific) Creativity: A Hierarchical Model of Domain-Specific Disposition, Development, and Achievement (2009) Perspective on Psychological Science, 4, p. 12; Ito, M., Control of mental activities by internal models in the cerebellum (2008) Nat Rev Neurosci, 9, pp. 304-313; Bhattacharya, J., Petsche, H., Shadows of artistry: cortical synchrony during perception and imagery of visual art (2002) Brain Res Cogn Brain Res, 13, pp. 179-186; Brown, S., Martinez, M.J., Parsons, L.M., The neural basis of human dance (2006) Cereb Cortex, 16, pp. 1157-1167; Patel, A.D., Language, music, syntax and the brain (2003) Nat Neurosci, 6, pp. 674-681; Craig, A.D., The sentient self (2010) Brain Struct Funct, 214, pp. 563-577; Koechlin, E., Jubault, T., Broca's area and the hierarchical organization of human behavior (2006) Neuron, 50, pp. 963-974; Joassin, F., Pesenti, M., Maurage, P., Verreckt, E., Bruyer, R., Cross-modal interactions between human faces and voices involved in person recognition (2011) Cortex, 47, pp. 367-376; Platel, H., Baron, J.C., Desgranges, B., Bernard, F., Eustache, F., Semantic and episodic memory of music are subserved by distinct neural networks (2003) Neuroimage, 20, pp. 244-256; Rizzolatti, G., Craighero, L., The mirror-neuron system (2004) Annu Rev Neurosci, 27, pp. 169-192; Kelly, C., Biswal, B.B., Craddock, R.C., Castellanos, F.X., Milham, M.P., Characterizing variation in the functional connectome: promise and pitfalls (2012) Trends Cogn Sci, 16, pp. 181-188; Gong, G., He, Y., Evans, A.C., Brain connectivity: gender makes a difference (2011) Neuroscientist, 17, pp. 575-591; Davison, A.P., Fregnac, Y., Learning cross-modal spatial transformations through spike timing-dependent plasticity (2006) J Neurosci, 26, pp. 5604-5615; Dan, Y., Poo, M.M., Spike timing-dependent plasticity of neural circuits (2004) Neuron, 44, pp. 23-30; Bassett, D.S., Wymbs, N.F., Porter, M.A., Mucha, P.J., Carlson, J.M., Dynamic reconfiguration of human brain networks during learning (2011) Proc Natl Acad Sci U S A, 108, pp. 7641-7646",
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TY - JOUR

T1 - Sculpting the Intrinsic Modular Organization of Spontaneous Brain Activity by Art

AU - Lin, Chia-Shu

AU - Liu, Yong

AU - Huang, Wei-Yuan

AU - Lu, Chia-Feng

AU - Teng, Shin

AU - Ju, Tzong-Ching

AU - He, Yong

AU - Wu, Yu-Te

AU - Jiang, Tian-Zi

AU - Hsieh, Jen-Chuen

N1 - Export Date: 31 March 2016 CODEN: POLNC 通訊地址: Jiang, T.; LIAMA Center for Computational Medicine, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; 電子郵件: jiangtz@nlpr.ia.ac.cn 參考文獻: Di Dio, C., Gallese, V., Neuroaesthetics: a review (2009) Current Opinion in Neurobiology, 19, p. 6; Freedberg, D., Gallese, V., Motion, emotion and empathy in esthetic experience (2007) Trends Cogn Sci, 11, pp. 197-203; Molnar-Szakacs, I., Overy, K., Music and mirror neurons: from motion to 'e'motion (2006) Soc Cogn Affect Neurosci, 1, pp. 235-241; Hikosaka, O., Nakamura, K., Sakai, K., Nakahara, H., Central mechanisms of motor skill learning (2002) Curr Opin Neurobiol, 12, pp. 217-222; Gusnard, D.A., Akbudak, E., Shulman, G.L., Raichle, M.E., Medial prefrontal cortex and self-referential mental activity: relation to a default mode of brain function (2001) Proc Natl Acad Sci U S A, 98, pp. 4259-4264; Nagai, Y., Critchley, H.D., Featherstone, E., Trimble, M.R., Dolan, R.J., Activity in ventromedial prefrontal cortex covaries with sympathetic skin conductance level: a physiological account of a "default mode" of brain function (2004) Neuroimage, 22, pp. 243-251; Fransson, P., Spontaneous low-frequency BOLD signal fluctuations: an fMRI investigation of the resting-state default mode of brain function hypothesis (2005) Hum Brain Mapp, 26, pp. 15-29; Lewis, C.M., Baldassarre, A., Committeri, G., Romani, G.L., Corbetta, M., Learning sculpts the spontaneous activity of the resting human brain (2009) Proc Natl Acad Sci U S A, 106, pp. 17558-17563; Taubert, M., Lohmann, G., Margulies, D.S., Villringer, A., Ragert, P., Long-term effects of motor training on resting-state networks and underlying brain structure (2011) Neuroimage, 57, pp. 1492-1498; He, Y., Wang, J., Wang, L., Chen, Z.J., Yan, C., Uncovering intrinsic modular organization of spontaneous brain activity in humans (2009) PLoS One, 4, pp. e5226; Meunier, D., Achard, S., Morcom, A., Bullmore, E., Age-related changes in modular organization of human brain functional networks (2009) Neuroimage, 44, pp. 715-723; Rubinov, M., Sporns, O., Complex network measures of brain connectivity: uses and interpretations (2010) Neuroimage, 52, pp. 1059-1069; Achard, S., Bullmore, E., Efficiency and cost of economical brain functional networks (2007) PLoS Comput Biol, 3, pp. e17; Humphries, M.D., Gurney, K., Network 'small-world-ness': a quantitative method for determining canonical network equivalence (2008) PLoS One, 3, pp. e0002051; Watts, D.J., Strogatz, S.H., Collective dynamics of 'small-world' networks (1998) Nature, 393, pp. 440-442; Latora, V., Marchiori, M., Efficient behavior of small-world networks (2001) Phys Rev Lett, 87, p. 198701; Guimera, R., Amaral, L.A., Cartography of complex networks: modules and universal roles (2005) J Stat Mech, 2005, pp. nihpa35573; Brown, S., Gao, X., Tisdelle, L., Eickhoff, S.B., Liotti, M., Naturalizing aesthetics: brain areas for aesthetic appraisal across sensory modalities (2011) Neuroimage, 58, pp. 250-258; 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? (2009) Neuroimage, 44, pp. 893-905; Saad, Z.S., Gotts, S.J., Murphy, K., Chen, G., Jo, H.J., Trouble at rest: how correlation patterns and group differences become distorted after global signal regression (2012) Brain Connect, 2, pp. 25-32; Alexander-Bloch, A.F., Gogtay, N., Meunier, D., Birn, R., Clasen, L., Disrupted modularity and local connectivity of brain functional networks in childhood-onset schizophrenia (2010) Front Syst Neurosci, 4, p. 147; Latora, V., Marchiori, M., Economic small-world behavior in weighted networks (2003) The European Physical Journal B, 32, p. 15; Alexander-Bloch, A., Lambiotte, R., Roberts, B., Giedd, J., Gogtay, N., The discovery of population differences in network community structure: new methods and applications to brain functional networks in schizophrenia (2012) Neuroimage, 59, pp. 3889-3900; Tagliazucchi, E., von Wegner, F., Morzelewski, A., Brodbeck, V., Borisov, S., Large-scale brain functional modularity is reflected in slow electroencephalographic rhythms across the human non-rapid eye movement sleep cycle (2013) Neuroimage, 70, pp. 327-339; Dobromyslin, V.I., Salat, D.H., Fortier, C.B., Leritz, E.C., Beckmann, C.F., Distinct functional networks within the cerebellum and their relation to cortical systems assessed with independent component analysis (2012) Neuroimage, 60, pp. 2073-2085; Sang, L., Qin, W., Liu, Y., Han, W., Zhang, Y., Resting-state functional connectivity of the vermal and hemispheric subregions of the cerebellum with both the cerebral cortical networks and subcortical structures (2012) Neuroimage, 61, pp. 1213-1225; Liao, W., Zhang, Z., Pan, Z., Mantini, D., Ding, J., Altered functional connectivity and small-world in mesial temporal lobe epilepsy (2010) PLoS One, 5, pp. e8525; Liu, Y., Liang, M., Zhou, Y., He, Y., Hao, Y., Disrupted small-world networks in schizophrenia (2008) Brain, 131, pp. 945-961; van den Heuvel, M.P., Stam, C.J., Kahn, R.S., Hulshoff Pol, H.E., Efficiency of functional brain networks and intellectual performance (2009) J Neurosci, 29, pp. 7619-7624; Simonton, D.K., Varieties of (Scientific) Creativity: A Hierarchical Model of Domain-Specific Disposition, Development, and Achievement (2009) Perspective on Psychological Science, 4, p. 12; Ito, M., Control of mental activities by internal models in the cerebellum (2008) Nat Rev Neurosci, 9, pp. 304-313; Bhattacharya, J., Petsche, H., Shadows of artistry: cortical synchrony during perception and imagery of visual art (2002) Brain Res Cogn Brain Res, 13, pp. 179-186; Brown, S., Martinez, M.J., Parsons, L.M., The neural basis of human dance (2006) Cereb Cortex, 16, pp. 1157-1167; Patel, A.D., Language, music, syntax and the brain (2003) Nat Neurosci, 6, pp. 674-681; Craig, A.D., The sentient self (2010) Brain Struct Funct, 214, pp. 563-577; Koechlin, E., Jubault, T., Broca's area and the hierarchical organization of human behavior (2006) Neuron, 50, pp. 963-974; Joassin, F., Pesenti, M., Maurage, P., Verreckt, E., Bruyer, R., Cross-modal interactions between human faces and voices involved in person recognition (2011) Cortex, 47, pp. 367-376; Platel, H., Baron, J.C., Desgranges, B., Bernard, F., Eustache, F., Semantic and episodic memory of music are subserved by distinct neural networks (2003) Neuroimage, 20, pp. 244-256; Rizzolatti, G., Craighero, L., The mirror-neuron system (2004) Annu Rev Neurosci, 27, pp. 169-192; Kelly, C., Biswal, B.B., Craddock, R.C., Castellanos, F.X., Milham, M.P., Characterizing variation in the functional connectome: promise and pitfalls (2012) Trends Cogn Sci, 16, pp. 181-188; Gong, G., He, Y., Evans, A.C., Brain connectivity: gender makes a difference (2011) Neuroscientist, 17, pp. 575-591; Davison, A.P., Fregnac, Y., Learning cross-modal spatial transformations through spike timing-dependent plasticity (2006) J Neurosci, 26, pp. 5604-5615; Dan, Y., Poo, M.M., Spike timing-dependent plasticity of neural circuits (2004) Neuron, 44, pp. 23-30; Bassett, D.S., Wymbs, N.F., Porter, M.A., Mucha, P.J., Carlson, J.M., Dynamic reconfiguration of human brain networks during learning (2011) Proc Natl Acad Sci U S A, 108, pp. 7641-7646

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N2 - Artistic training is a complex learning that requires the meticulous orchestration of sophisticated polysensory, motor, cognitive, and emotional elements of mental capacity to harvest an aesthetic creation. In this study, we investigated the architecture of the resting-state functional connectivity networks from professional painters, dancers and pianists. Using a graph-based network analysis, we focused on the art-related changes of modular organization and functional hubs in the resting-state functional connectivity network. We report that the brain architecture of artists consists of a hierarchical modular organization where art-unique and artistic form-specific brain states collectively mirror the mind states of virtuosos. We show that even in the resting state, this type of extraordinary and long-lasting training can macroscopically imprint a neural network system of spontaneous activity in which the related brain regions become functionally and topologically modularized in both domain-general and domain-specific manners. The attuned modularity reflects a resilient plasticity nurtured by long-term experience. © 2013 Lin et al.

AB - Artistic training is a complex learning that requires the meticulous orchestration of sophisticated polysensory, motor, cognitive, and emotional elements of mental capacity to harvest an aesthetic creation. In this study, we investigated the architecture of the resting-state functional connectivity networks from professional painters, dancers and pianists. Using a graph-based network analysis, we focused on the art-related changes of modular organization and functional hubs in the resting-state functional connectivity network. We report that the brain architecture of artists consists of a hierarchical modular organization where art-unique and artistic form-specific brain states collectively mirror the mind states of virtuosos. We show that even in the resting state, this type of extraordinary and long-lasting training can macroscopically imprint a neural network system of spontaneous activity in which the related brain regions become functionally and topologically modularized in both domain-general and domain-specific manners. The attuned modularity reflects a resilient plasticity nurtured by long-term experience. © 2013 Lin et al.

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KW - article

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KW - female

KW - functional connectivity network

KW - human

KW - human experiment

KW - male

KW - nerve cell network

KW - nerve cell plasticity

KW - nonmedical occupations

KW - painter

KW - pianist

KW - rest

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