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20 - Cognitive Enhancement and Brain Stimulation in Dyslexia and Dyscalculia

from Part VIII - Intervention and Compensation

Published online by Cambridge University Press:  28 July 2022

Michael A. Skeide
Affiliation:
Max Planck Institute for Human Cognitive and Brain Sciences
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Summary

In this chapter, we provide an overview of different types of cognitive enhancement techniques that target key neural regions related to dyslexia and dyscalculia. The main emphasis is on non-invasive brain stimulation (NIBS), such as transcranial magnetic stimulation (TMS) and transcranial electrical stimulation (tES). The former sends a pulse of current through a coil to evoke a magnetic field that penetrates the skull and enters the brain. The direction of neuromodulation by TMS is controlled by the stimulation frequency.

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Chapter
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Publisher: Cambridge University Press
Print publication year: 2022

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References

Suggestions for Further Reading

Finisguerra, A., Borgatti, R., and Urgesi, C.. 2019. ‘Non-Invasive Brain Stimulation for the Rehabilitation of Children and Adolescents With Neurodevelopmental Disorders: A Systematic Review’. Frontiers in Psychology 10 (February): 135.CrossRefGoogle ScholarPubMed
Schroeder, P. A., Dresler, T., Bahnmueller, J., Artemenko, C., Cohen Kadosh, R., and Nuerk, H-C. 2017. ‘Cognitive Enhancement of Numerical and Arithmetic Capabilities: A Mini-Review of Available Transcranial Electric Stimulation Studies’. Journal of Cognitive Enhancement 1 (1), 3947. https://doi.org/10.1007/s41465-016-0006-z.CrossRefGoogle Scholar
Simonsmeier, B. A., Grabner, R. H., Hein, J., Krenz, U., and Schneider, M.. 2018. ‘Electrical Brain Stimulation (tES) Improves Learning More than Performance: A Meta-Analysis’. Neuroscience and Biobehavioral Reviews 84 (January): 171–81.CrossRefGoogle ScholarPubMed
Van Bueren, N. E. R., Reed, T. L., Nguyen, V., Sheffield, J. G., van der Ven, S. H., Osborne, M. A., Kroesbergen, E. H, and Cohen Kadosh, R. 2021. Personalized brain stimulation for effective neurointervention across participants. PLoS Computational Biology, 17(9), e1008886. https://doi.org/10.1371/journal.pcbi.1008886.CrossRefGoogle ScholarPubMed

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