The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Drawing on mind's canvas: Differences in cortical integration patterns between artists and non‐artists
Open accessAbstract
Our primary question was to learn whether mentally composing drawings of their own choice produce different brain electric features in artists and laymen. To this purpose, we studied multichannel electroencephalograph (EEG) signals from two broad groups (all participants were females): artists (professionally trained in visual arts) and non‐artists (without any training in art). To assess the underlying synchronization, which is assumed to be the platform for general cognitive integration between different cortical regions, three measures inspired by nonlinear dynamical system theory were applied as follows: (1) index based on generalized synchronization; (2) index based on mean phase coherence; and (3) index of phase synchrony based on entropy. Results consistent over all three measures were as follows: comparing the tasks to rest, the artists showed significantly stronger short‐ and long‐range delta band synchronization, whereas the non‐artists showed enhancement in short‐range beta and gamma band synchronization primarily in frontal regions; comparing the two groups during the tasks, the artists showed significantly stronger delta band synchronization and alpha band desynchronization than did the non‐artists. Strong right hemispheric dominance in terms of synchronization was found in the artists. In artists, the higher synchrony in the low‐frequency band is possibly due to the involvement of a more advanced long‐term visual art memory and to extensive top‐down processing. The results demonstrate that in artists, patterns of functional cooperation between cortical regions during mental creation of drawings were significantly different from those in non‐artists. Hum. Brain Mapping, 2005. © 2005 Wiley‐Liss, Inc.
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Cites
Report of the committee on methods of clinical examination in electroencephalography
(1958) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(58)90053-1 · Cited by 2,717
EXPERT AND EXCEPTIONAL PERFORMANCE: Evidence of Maximal Adaptation to Task Constraints
Ericsson, K. A., & Lehmann, A. C. (1996) · Annual Review of Psychology · doi:10.1146/annurev.psych.47.1.273 · Cited by 2,139
Sauer, T., Yorke, J. A., & Casdagli, M. (1991) · Journal of Statistical Physics · doi:10.1007/bf01053745 · Cited by 2,045
Kosslyn, S. M., Ganis, G., & Thompson, W. L. (2001) · Nature Reviews Neuroscience · doi:10.1038/35090055 · Cited by 1,894
von Stein, A., & Sarnthein, J. (2000) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(00)00172-0 · Cited by 1,553
Visuomotor integration is associated with zero time-lag synchronization among cortical areas
Roelfsema, P. R., Engel, A. K., König, P., & Singer, W. (1997) · Nature · doi:10.1038/385157a0 · Cited by 1,136
Gamma rhythms and beta rhythms have different synchronization properties
Kopell, N., Ermentrout, G. B., Whittington, M. A., & Traub, R. D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.4.1867 · Cited by 1,072 · cited 1×
“In addition, the mechanism of synchrony might also be frequency specific [Kopell et al., 2000].”
BackgroundLutz, A., Lachaux, J.-P., Martinerie, J., & Varela, F. J. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.032658199 · Cited by 503
Theta synchronization during episodic retrieval: neural correlates of conscious awareness
Klimesch, W., Doppelmayr, M., Yonelinas, A., Kroll, N. E. A., Lazzara, M., Röhm, D., & Gruber, W. (2001) · Cognitive Brain Research · doi:10.1016/s0926-6410(01)00024-6 · Cited by 266
Evolution of prehistoric cave art
Valladas, H., Clottes, J., Geneste, J.-M., Garcia, M. A., Arnold, M., Cachier, H., & Tisnérat-Laborde, N. (2001) · Nature · doi:10.1038/35097160 · Cited by 181
Cited by
Nonlinear multivariate analysis of neurophysiological signals
Pereda, E., Quiroga, R. Q., & Bhattacharya, J. (2005) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2005.10.003 · Cited by 1,076
Self-citationA review of EEG, ERP, and neuroimaging studies of creativity and insight.
Dietrich, A., & Kanso, R. (2010) · Psychological Bulletin · doi:10.1037/a0019749 · Cited by 907
Causality detection based on information-theoretic approaches in time series analysis
HLAVACKOVASCHINDLER, K., PALUS, M., VEJMELKA, M., & BHATTACHARYA, J. (2007) · Physics Reports · doi:10.1016/j.physrep.2006.12.004 · Cited by 800
Self-citationFink, A., Grabner, R. H., Benedek, M., Reishofer, G., Hauswirth, V., Fally, M., Neuper, C., Ebner, F., & Neubauer, A. C. (2009) · Human Brain Mapping · doi:10.1002/hbm.20538 · Cited by 505
Neuroimaging creativity: a psychometric view
Arden, R., Chavez, R. S., Grazioplene, R., & Jung, R. E. (2010) · Behavioural Brain Research · doi:10.1016/j.bbr.2010.05.015 · Cited by 287
Metadata
- Authors
- Bhattacharya, J., & Petsche, H.
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2005-04-25
- Volume
- 26
- Issue
- 1
- Pages
- 1-14
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- OpenAlex
- W2151207421
- Cited by
- 168
- References
- 11
- FWCI
- 5.41
- Type
- journal article
- Language
- en
- Open access
- green
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