Abstract
Catheter-based cardiovascular interventions (CBCVI) provide a fascinating context to study skill acquisition. In CBCVI, multiple cognitive skills are crucial; technical, perceptual, and decision-making skills are all used at the same time and often depend on each other. In order to be able to develop and implement the best possible medical education curriculum, it is important to understand cognition. Cognitive neuroscience studies the relationship between cognitive functions and brain processes. Recently, new techniques have become available that allow study of how learning changes specific brain structures and the connections between different brain areas. This chapter gives an overview of these studies. It also discusses the process of skill acquisition and the two types of knowledge on which learning is based: declarative knowledge (know what) and procedural knowledge (know how). These different types of knowledge have different representations and different properties. We discuss how changes in gray and white matter can be measured using different structural magnetic resonance imaging techniques, and describe experimental studies on brain plasticity in declarative and procedural learning and skill acquisition.
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References
Cnossen F. Cognitive skills in medicine: an introduction. In: Lanzer P, editor. PanVascular medicine, 2nd ed. Berlin: Springer; 2015. p. 4719–52.
Lanzer P, Taatgen N. Procedural knowledge in percutaneous coronary interventions. J Clin Exp Cardiol. 2013;4 Suppl 6:e005. doi:10.4172/2155-9880.S6-005.
Anderson JR. Acquisition of cognitive skill. Psychol Rev. 1982;89(4):369–406.
Fitts PM. Perceptual-motor skill learning. In: Melton AW, editor. Categories of human learning. New York: Academic Press; 1964. p. 243–85.
Lustig C, Shah P, Seidler R, Reuter-Lorenz PA. Aging, training, and the brain: a review and future directions. Neuropsychol Rev. 2009;19(4):504–22.
Chang Y. Reorganization and plastic changes of the human brain associated with skill learning and expertise. Front Hum Neurosci. 2014;8(1):35.
Draganski B, Gaser C, Kempermann G, Georg Kuhn H, Winkler J, Büchel C, May A. Temporal and spatial dynamics of brain structure changes during extensive learning. J Neurosci. 2006;26(23):6314–7.
Mackey AP, Whitaker KJ, Bunge SA. Experience-dependent plasticity in white matter microstructure: reasoning training alters structural connectivity. Front Neuroanat. 2012;6:32. doi:10.3389/fnana.2012.00032.
Taubert M, Villringer A, Ragert P. Learning-related gray and white matter changes in humans an update. Neuroscientist. 2012;18(4):320–5.
Robert J, Zatorre R. Douglas Fields, and Heidi Johansen-Berg. Plasticity in gray and white: neuroimaging changes in brain structure during learning. Nat Neurosci. 2012;15(4):528–36.
Lakhani B, Borich MR, Jackson JN, Wadden KP, Peters S, Villamayor A, MacKay AL, Vavasour IM, Rauscher A, Boyd LA. Motor skill acquisition promotes human brain myelin plasticity. Neural Plast. 2016;2016:7526135. doi:10.1155/2016/7526135.
Markham JA, Herting MM, Luszpak AE, Juraska JM, Greenough WT. Myelination of the corpus callosum in male and female rats following complex environment housing during adulthood. Brain Res. 2009;1288:9–17.
Nave K-A. Myelination and support of axonal integrity by glia. Nature. 2010;468(7321):244–52.
Scholz J, Klein MC, Behrens TEJ, Johansen-Berg H. Training induces changes in white-matter architecture. Nat Neurosci. 2009;12(11):1370–1.
Taubert M, Draganski B, Anwander A, Müller K, Horstmann A, Villringer A, Ragert P. Dynamic properties of human brain structure: learning-related changes in cortical areas and associated fiber connections. J Neurosci. 2010;30(35):11670–7.
Johansen-Berg H, Baptista CS, Thomas AG. Human structural plasticity at record speed. Neuron. 2012;73(6):1058–60.
Maguire EA, Gadian DG, Johnsrude IS, Good CD, Ashburner J, Frackowiak RSJ, Frith CD. Navigation-related structural change in the hippocampi of taxi drivers. Proc Natl Acad Sci. 2000;97(8):4398–403.
Paola M, Caltagirone C, Petrosini L. Prolonged rock climbing activity induces structural changes in cerebellum and parietal lobe. Hum Brain Mapp. 2013;34(10):2707–14.
Eichenbaum H. Hippocampus: cognitive processes and neural representations that underlie declarative memory. Neuron. 2004;44(1):109–20.
Taubert M, Lohmann G, Margulies DS, Villringer A, Ragert P. Long-term effects of motor training on resting-state networks and underlying brain structure. NeuroImage. 2011;57(4):1492–8.
Sagi Y, Tavor I, Hofstetter S, Tzur-Moryosef S, Blumenfeld-Katzir T, Assaf Y. Learning in the fast lane: new insights into neuroplasticity. Neuron. 2012;73(6):1195–203.
Peigneux P, Laureys S, Delbeuck X, Maquet P. Sleeping brain, learning brain. The role of sleep for memory systems. Neuroreport. 2001;12(18):A111–24.
Peigneux P, Laureys S, Fuchs S, Collette F, Perrin F, Reggers J, Phillips C, Degueldre C, Del Fiore G, Aerts J, et al. Are spatial memories strengthened in the human hippocampus during slow wave sleep? Neuron. 2004;44(3):535–45.
Palchykova S, Winsky-Sommerer R, Meerlo P, Dürr R, Tobler I. Sleep deprivation impairs object recognition in mice. Neurobiol Learn Mem. 2006;85(3):263–71.
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Paul, K.I., Cnossen, F. (2018). A Cognitive Neuroscience Perspective on Skill Acquisition in Catheter-Based Interventions. In: Lanzer, P. (eds) Textbook of Catheter-Based Cardiovascular Interventions. Springer, Cham. https://doi.org/10.1007/978-3-319-55994-0_3
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