Abstract
Original language | English |
---|---|
Journal | PLoS One |
Volume | 8 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2013 |
Externally published | Yes |
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
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In: PLoS One, Vol. 8, No. 6, 2013.
Research output: Contribution to journal › Article › peer-review
}
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: [email protected] 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
PY - 2013
Y1 - 2013
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.
KW - adult
KW - art
KW - article
KW - brain function
KW - brain region
KW - controlled study
KW - dancing
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
UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-84879480348&partnerID=40&md5=13278174c7c0347222e7067fcf086bc8
UR - https://www.scopus.com/results/citedbyresults.uri?sort=plf-f&cite=2-s2.0-84879480348&src=s&imp=t&sid=97222dc66bee5865f5f52597ec43c722&sot=cite&sdt=a&sl=0&origin=recordpage&editSaveSearch=&txGid=37823e87e6cbd26beaf0e20f41279276
U2 - 10.1371/journal.pone.0066761
DO - 10.1371/journal.pone.0066761
M3 - Article
SN - 1932-6203
VL - 8
JO - PLoS One
JF - PLoS One
IS - 6
ER -