Das plastische Hirn
Abstract
Einer der herausragenden Befunde der neurowissenschaftlichen Forschung in den letzten 25 bis 30 Jahren ist die Entdeckung der enormen Formbarkeit des menschlichen Gehirns. Diese Plastizität des Gehirns äußert sich in der strukturellen und funktionellen Plastizität des Gehirns. Unter der funktionellen Neuroplastizität versteht man erfahrungsbedingte neurophysiologische Aktivitätsveränderungen innerhalb von neuronalen Netzwerken, während die strukturelle Neuroplastizität die erfahrungsbedingte morphologische Veränderung des Gehirns beschreibt. Im Rahmen dieses Übersichtsartikels werden – nach einer historischen Einordnung der Plastizitätsforschung – die wesentlichen Befunde dieser Forschungsrichtung kurz dargestellt. Anschließend werden die Konsequenzen dieser neuen Forschungsrichtung für die Grundlagenforschung aber auch für die Reha-Forschung und die Suche nach Optimierungsmöglichkeiten des gesunden Gehirns diskutiert.
One of the most important findings of recent neuroscientific research is the discovery of the plastic nature of the human brain. Brain plasticity happens on the structural and/or functional level. Functional plasticity describes the learning- and experience-dependent changes in neurophysiological activity while structural plasticity refers to the learning- and experience-dependent morphological changes of the human brain. In this short review paper I summarize basic findings and principles of plasticity research. I will discuss modern plasticity research in the context of the historical developments of this research line. Finally, the consequences for therapy, rehabilitation, education and the general view on human behavior will be discussed.
Literatur
(1991). Reorganization of somatosensory area 3b representations in adult owl monkeys after digital syndactyly. Journal of Neurophysiology, 66, 1048 – 1058.
(2009). Neural reorganization underlies improvement in stroke-induced motor dysfunction by music-supported therapy. Annals of the New York Academy of Sciences, 1169, 395 – 405.
(1997). Motor cortex and hand motor skills: structural compliance in the human brain. Human Brain Mapping, 5, 206 – 215.
et al.(2013). Resting-state functional and structural connectivity within an insula-amygdala route specifically index state and trait anxiety. Biological Psychiatry, 73, 85 – 92.
(2011). Training-induced neural plasticity in golf novices. Journal of Neuroscience, 31, 12444 – 12448.
(2005). Effect of repetitive TMS and fluoxetine on cognitive function in patients with Parkinson's disease and concurrent depression. Movement Disorders, 20, 1178 – 1184.
et al.(2014). Ursachen für ADHS: Gene oder Umwelt? Lernen und Lernstörungen, 3, 192 – 195.
(2004). Neuroplasticity: changes in grey matter induced by training. Nature, 427 (6972), 311 – 312.
(1995). Increased cortical representation of the fingers of the left hand in string players. Science, 270, 305 – 307.
(2013). Increased cortical surface area of the left planum temporale in musicians facilitates the categorization of phonetic and temporal speech sounds. Cortex, 49, 2812 – 2821.
(1993). The role of deliberate practise in the acquisition of expert performance. Psychological Review, 100, 363 – 406.
(2013). EEG-neurofeedback for optimising performance. I: A review of cognitive and affective outcome in healthy participants. Neuroscience and biobehavioral reviews, 44, 1 – 17.
(2014). EEG-neurofeedback for optimising performance. II: Creativity, the performing arts and ecological validity. Neuroscience & Biobehavioral Reviews, 44C, 142 – 158.
(2014). Replication of elite music performance enhancement following alpha/theta neurofeedback and application to novice performance and improvisation with SMR benefits. Biological Psychology, 95, 96 – 107.
et al.(2008). The multiple synaesthete E. S.: neuroanatomical basis of interval-taste and tone-colour synaesthesia. NeuroImage, 43, 192 – 203.
(2013). Enhancing performance in numerical magnitude processing and mental arithmetic using transcranial Direct Current Stimulation (tDCS). Frontiers in Human Neuroscience, 7, 244 – 244.
(1949). The organization of behavior. New York: Wiley.
(1890). The principles of psychology. New York/London: Holt & Macmillan.
(2009a). The plastic human brain. Restorative Neurology and Neuroscience, 27, 521 – 538.
(2009b). Music drives brain plasticity. F1000 Biology Reports, 1, 1 – 6.
(2013a). Lehrbuch Kognitive Neurowissenschaften. Bern: Huber.
(2013b). Nicht immer sind die Gene schuld – Wie Erfahrungen unser Gehirn beeinflusst. Psychoscope, 4, 4 – 7.
(2009a). The neuroanatomy of grapheme-color synesthesia. European Journal of Neuroscience, 29, 1287 – 1293.
(2009b). The architecture of the golfer's brain. PLoS ONE, 4 (3), e4785 – e4785.
(2000). Cortical activations in primary and secondary motor areas for complex bimanual movements in professional pianists. Brain research. Cognitive Brain Research, 10, 177 – 183.
(1990). Neocortical representational dynamics in adult primates: implications for neuropsychology. Neuropsychologia, 28, 573 – 584.
(2003). Enhancing cognitive performance with repetitive transcranial magnetic stimulation at human individual alpha frequency. European Journal of Neuroscience, 17, 1129 – 1133.
(2013). Learning to modulate one's own brain activity: the effect of spontaneous mental strategies. Frontiers in Human Neuroscience, 7, 695 – 695.
(2004). Long-term training affects cerebellar processing in skilled keyboard players. Neuroreport, 15, 1279 – 1282.
(1948). Conditioned reflexes and neuron organization. Translated from the Polish manuscript under the author's supervision.
(2012). Effects of limb immobilization on brain plasticity. Neurology, 78, 182 – 188.
(2013). The effects of working memory training on functional brain network efficiency. Cortex, 49, 2424 – 2438.
(2014). ADHS in der Schule – ein Plädoyer für eine differenzierte Betrachtung. Lernen und Lernstörungen, 3, 188 – 192.
(2011). Experience-dependent structural plasticity in the adult human brain. Trends in Cognitive Science, 15, 475 – 482.
(2014). Transcranial direct current stimulation over multiple days improves learning and maintenance of a novel vocabulary. Cortex, 50, 137 – 147.
et al.(2002). The musician's brain as a model of neuroplasticity. Nature Reviews Neuroscience, 3, 473 – 478.
(2013). Non-invasive brain stimulation in neglect rehabilitation: an update. Frontiers in Human Neuroscience, 7, 248 – 248.
(2005). Improved naming after TMS treatments in a chronic, global aphasia patient – case report. Neurocase, 11, 182 – 193.
et al.(2009). The plasticity of the superior longitudinal fasciculus as a function of musical expertise: a diffusion tensor imaging study. Frontiers in Human Neuroscience, 3, 76 – 76.
(2006). Brain activity before an event predicts later recollection. Nature Neuroscience, 9, 489 – 491.
(2005). The plastic human brain cortex. Annual Review of Neuroscience, 28, 377 – 401.
(2014). Predictions, perception, and a sense of self. Neurology. Published online, August 2014.
(1993). Plasticity in the frequency representation of primary auditory cortex following discrimination training in adult owl monkeys. Journal of Neuroscience, 13, 87 – 103.
(2014). Genetik bei ADHS – zwischen Euphorie und Skepsis. Lernen und Lernstörungen, 3, 185 – 188.
(2010). Music and speech listening enhance the recovery of early sensory processing after stroke. Journal of Cognitive Neuroscience, 22, 2716 – 2727.
et al.(2014). Structural Changes Induced by Daily Music Listening in the Recovering Brain after Middle Cerebral Artery Stroke: A Voxel-Based Morphometry Study. Frontiers in Human Neuroscience, 8, 245.
et al.(2008). Music listening enhances cognitive recovery and mood after middle cerebral artery stroke. Brain, 131, 866 – 876.
et al.(1995). In vivo evidence of structural brain asymmetry in musicians. Science, 267 (5198), 699 – 701.
(2002). Morphology of Heschl's gyrus reflects enhanced activation in the auditory cortex of musicians. Nature Neuroscience, 5, 688 – 694.
(2007). Using musical instruments to improve motor skill recovery following a stroke. Journal of Neurology, 254, 1339 – 1346.
(2005). Structural, functional, and perceptual differences in Heschl's gyrus and musical instrument preference. Annals of the New York Academy of Sciences, 1060, 387 – 394.
(2014). Kinderpsychiatrie am Scheideweg: Störungskonzepte mit unerwünschten Nebenwirkungen. Lernen und Lernstörungen, 3, 195 – 202.
(2014). Attention, predictions and expectations, and their violation: attentional control in the human brain. Frontiers in Human Neurosciences, 8, 490 – 490.
(2014). Resting alpha activity predicts learning ability in alpha neurofeedback. Frontiers in Human Neurosciences, 8, 500 – 500.
(1874). Grundzüge der physiologischen Psychologie. Leipzig: Engelmann.
(1896). Grundriss der Psychologie. Leipzig: Engelmann.
(2012). Plasticity in gray and white: neuroimaging changes in brain structure during learning. Nature Neuroscience, 15, 528 – 536.
(2011). Neurofeedback training of the upper alpha frequency band in EEG improves cognitive performance. NeuroImage, 54, 1427 – 1431.