Task decomposition: A framework for comparing diverse training models in human brain plasticity studies

Frontiers in Human Neuroscience

Volumn , Issue OCT, 2013, Pages

  Coffey, Emily B J ^a,b   Herholz, Sibylle C ^a,b,c  

^a MCGILL UNIVERSITY   (Canada)

^b UNIVERSITÉ DE MONTRÉAL   (Canada)

^c GERMAN CENTER FOR NEURODEGENERATIVE DISEASES DZNE   (Germany)

Author keywords

Expertise; MRI; Multisensory learning; Plasticity; Training

Indexed keywords

ARTICLE; AUDITORY MEMORY; BEHAVIOR; CEREBELLUM; COGNITION; HUMAN; LEARNING; MOTOR PERFORMANCE; NERVE CELL PLASTICITY; NONHUMAN; POSTERIOR PARIETAL CORTEX; PRIMARY MOTOR CORTEX; TASK PERFORMANCE; VISUOMOTOR COORDINATION; WORKING MEMORY;

EID: 84886432907     PISSN: 16625161     EISSN: None     Source Type: Journal    
DOI: 10.3389/fnhum.2013.00640     Document Type: Article

References (33)

1. Altenmuller, E., Marco-Pallares, J., Munte, T. F., and Schneider, S. (2009). Neural reorganization underlies improvement in stroke-induced motor dysfunction by music-supported therapy. Ann. N. Y Acad. Sci. 1169, 395-405. doi: 10.1111/j.1749-6632.2009.04580.x
2. Andersen, R. A., and Buneo, C. A. (2002). Intentional maps in posterior parietal cortex. Annu. Rev. Neurosci. 25, 189-220. doi: 10.1146/annurev.neuro.25.112701. 142922
3. Anderson, J. R., Anderson, J. F., Ferris, J. L., Fincham, J. M., and Jung, K. J. (2009). Lateral inferior prefrontal cortex and anterior cingulate cortex are engaged at different stages in the solution of insight problems. Proc. Natl. Acad. Sci. U.S.A. 106, 10799-10804. doi: 10.1073/pnas.0903953106
4. Anderson, J. R., Qin, Y., Sohn, M. H., Stenger, V. A., and Carter, C. S. (2003). An information-processing model of the BOLD response in symbol manipulation tasks. Psychon. Bull. Rev. 10, 241-261. doi: 10.3758/BF031 96490
5. Bezzola, L., Merillat, S., Gaser, C., and Jancke, L. (2011). Training-induced neural plasticity in golf novices. J. Neurosci. 31, 12444-12448. doi: 10.1523/JNEUR0SCI.1996-11.2011
6. Boyke, J., Driemeyer, J., Gaser, C., Buchel, C., and May, A. (2008). Training-induced brain structure changes in the elderly. J. Neurosci. 28, 7031-7035. doi: 10.1523/ JNEUROSCI.0742-08.2008
7. Buschkuehl, M., Jaeggi, S. M., and Jonides, J. (2012). Neuronal effects following working memory training. Dev. Cogn. Neurosci. 2(Suppl. 1), S167-S179. doi: 10.1016/j.dcn.2011. 10.001
8. Della-Maggiore, V., and McIntosh, A. R. (2005). Time course of changes in brain activity and functional connectivity associated with long-term adaptation to a rotational transformation. J. Neurophysiol. 93, 2254-2262. doi: 10.1152/jn.00984.2004
9. Dick, W., Carey, L., and Carey, J. O. (2004). The Systematic Design of Instruction. Boston, MA: Allyn & Bacon.
10. Draganski, B., Gaser, C., Busch, V., Schuierer, G., Bogdahn, U., and May, A. (2004). Neuroplasticity: changes in grey matter induced by training. Nature 427, 311-312. doi: 10.1038/427311a
11. Erickson, K. I. (2012). Evidence for structural plasticity in humans: comment on Thomas and Baker (2012). Neuroimage 73, 237-238; discussion 265-267. doi: 10.1016/j.neuroimage.2012. 07.003
12. Guida, A., Gobet, F., Tardieu, H., and Nicolas, S. (2012). How chunks, long-term working memory and templates offer a cognitive explanation for neuroimaging data on expertise acquisition: a two-stage framework. Brain Cogn. 79, 221-244. doi: 10.1016/j.bandc.2012. 01.010
13. Hyde, K. L., Lerch, J., Norton, A., Forgeard, M., Winner, E., Evans, A. C., etal. (2009). Musical training shapes structural brain development. J. Neurosci. 29, 3019-3025. doi: 10.1523/JNEUR0SCI.5118-08. 2009
14. Landi, S. M., Baguear, F., and Della-Maggiore, V. (2011). One week of motor adaption induces structural changes in primary motor cortexthat predict long-term memory one year later. J. Neurosci. 31, 11808-11813. doi: 10.1523/JNEUR0SCI.2253-11. 2011
15. Lappe, C., Herholz, S. C., Trainor, L. J., and Pantev, C. (2008). Cortical plasticity induced by short-term unimodal and multimodal musical training. J. Neurosci. 28, 9632-9639. doi: 10.1523/JNEUR0SCI.2254-08. 2008
16. Loo, J. H., Bamiou, D. E., Campbell, N., and Luxon, L. M. (2010). Computer-based auditory training (CBAT): benefits for children with language-and reading-related learning difficulties. Dev. Med. Child Neurol. 52, 708-717. doi: 10.1111/j.1469-8749.2010.03654.x
17. Molnar-Szakacs, I., Kaplan, J., Greenfield, P. M., and Iacoboni, M. (2006). Observing complex action sequences: the role of the fronto-parietal mirror neuron system. Neuroimage 33, 923-935. doi: 10.1016/j.neuroimage.2006. 07.035
18. Musiek, F. E., Shinn, J., and Hare, C. (2002). Plasticity, auditory training, and auditory processing disorders. Semin. Hear. 23, 263-276. doi: 10.1055/s-2002-35862
19. Newell, A., and Simon, H. A. (1972). Human Problem Solving. Englewood Cliffs, NJ: Prentice-Hall.
20. Paraskevopoulos, E., Kuchenbuch, A., Herholz, S. C., and Pantev, C. (2012). Evidence for training-induced plasticity in multisensory brain structures: an MEG study. PLoS ONE 7:e36534. doi: 10.1371/jour-nal.pone.0036534
21. Qin, Y., Sohn, M. H., Anderson, J. R., Stenger, V. A., Fissell, K., Goode, A., et al. (2003). Predicting the practice effects on the blood oxygenation level-dependent (BOLD) function of fMRI in a symbolic manipulation task. Proc. Natl.Acad. Sci. U.S.A. 100, 4951-4956. doi: 10.1073/pnas.04310 53100
22. Sagi, Y., Tavor, I., Hofstetter, S., Tzur-Moryosef, S., Blumenfeld-Katzir, T., and Assaf, Y. (2012). Learning in the fast lane: new insights into neuroplasticity. Neuron 73, 11951203. doi: 10.1016/j.neuron.2012. 01.025
23. Scholz, J., Klein, M. C., Behrens, T. E., and Johansen-Berg, H. (2009). Training induces changes in white-matter architecture. Nat. Neurosci. 12, 1370-1371. doi: 10.1038/nn. 2412
24. Simmons, J. P., Nelson, L. D., and Simonsohn, U. (2011). False-positive psychology: undisclosed flexibility in data collection and analysis allows presenting anything as significant. Psychol. Sci. 22, 1359-1366. doi:10.1177/0956797611 417632
25. Skinner, B. F. (1954). The science of learning and the art of teaching. Harv. Educ. Rev. 24, 86-97.
26. Sternberg, R. J. (1977). Component processes in analogical reasoning. Psychol. Rev. 84, 353378. doi: 10.1037/0033-295X.84.4. 353
27. Taubert, M., Draganski, B., Anwan-der, A., Muller, K., Horstmann, A., Villringer, A., etal. (2010). Dynamic properties of human brain structure: learning-related changes in cortical areas and associated fiber connections. J. Neurosci. 30, 11670-11677. doi: 10.1523/JNEUR0SCI.2567-10.2010
28. Thomas, C., and Baker, C. I. (2013). Teaching an adult brain new tricks: a critical review of evidence for training-dependent structural plasticity in humans. Neuroimage 73, 225-236. doi: 10.1016/j.neuroimage. 2012.03.069
29. Ungerleider, L. G., Doyon, J., and Karni, A. (2002). Imaging brain plasticity during motor skill learning. Neurobiol. Learn. Mem. 78, 553-564. doi: 10.1006/nlme.2002. 4091
30. Vallar, G., Lobel, E., Galati, G., Berthoz, A., Pizzamiglio, L., and Le Bihan, D. (1999). A frontoparietal system for computing the egocentric spatial frame of reference in humans. Exp. Brain Res. 124, 281-286. doi: 10.1007/s0022100 50624
31. Vul, E., Harris, C., Winkielman, P., and Pashler, H. (2009). Puzzlingly high correlations in fMRI studies of emotion, personality, and social cognition. Perspect. Psychol. Sci. 4, 274-290. doi: 10.1111/j.1745-6924.2009. 01125.x
32. Wan, C. Y., and Schlaug, G. (2009). Music making as a tool for promoting brain plasticity across the life span. Neuroscientist 16, 566-577. doi: 10.1177/10738584103 77805
33. Zatorre, R. J., Fields, R. D., and Johansen-Berg, H. (2012). Plasticity in gray and white: neuroimaging changes in brain structure during learning. Nat. Neurosci. 15, 528-536. doi: 10.1038/ nn.3045