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  Modeling the effects of noninvasive transcranial brain stimulation at the biophysical, network, and cognitive level

Hartwigsen, G., Bergmann, T. O., Herz, D. M., Angstmann, S., Karabanov, A., Raffin, E., et al. (2015). Modeling the effects of noninvasive transcranial brain stimulation at the biophysical, network, and cognitive level. Progress in Brain Research, 222, 261-287. doi:10.1016/bs.pbr.2015.06.014.

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Hartwigsen, Gesa1, Author           
Bergmann, Til Ole1, Author
Herz, Damian Marc2, Author
Angstmann, Steffen2, Author
Karabanov, Anke2, Author
Raffin, Estelle2, 3, Author
Thielscher, Axel2, 4, Author
Siebner, Hartwig Roman2, 5, Author
1Department of Psychology, Christian Albrecht University Kiel, Germany, ou_persistent22              
2Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Denmark, ou_persistent22              
3Grenoble Institut des Neurosciences, La Tronche, France, ou_persistent22              
4Biomedical Engineering Section, Technical University of Denmark, Lyngby, Denmark, ou_persistent22              
5Department of Neurology, Bispebjerg Hospital, Copenhagen, Denmark, ou_persistent22              


Free keywords: Dynamic causal modeling; Drift diffusion modeling; Electric field calculations; Electroencephalography; Functional magnetic resonance imaging; Magnetoencephalography; Plasticity; Transcranial direct current stimulation; Transcranial magnetic stimulation; Virtual lesion
 Abstract: Noninvasive transcranial brain stimulation (NTBS) is widely used to elucidate the contribution of different brain regions to various cognitive functions. Here we present three modeling approaches that are informed by functional or structural brain mapping or behavior profiling and discuss how these approaches advance the scientific potential of NTBS as an interventional tool in cognitive neuroscience. (i) Leveraging the anatomical information provided by structural imaging, the electric field distribution in the brain can be modeled and simulated. Biophysical modeling approaches generate testable predictions regarding the impact of interindividual variations in cortical anatomy on the injected electric fields or the influence of the orientation of current flow on the physiological stimulation effects. (ii) Functional brain mapping of the spatiotemporal neural dynamics during cognitive tasks can be used to construct causal network models. These models can identify spatiotemporal changes in effective connectivity during distinct cognitive states and allow for examining how effective connectivity is shaped by NTBS. (iii) Modeling the NTBS effects based on neuroimaging can be complemented by behavior-based cognitive models that exploit variations in task performance. For instance, NTBS-induced changes in response speed and accuracy can be explicitly modeled in a cognitive framework accounting for the speed–accuracy trade-off. This enables to dissociate between behavioral NTBS effects that emerge in the context of rapid automatic responses or in the context of slow deliberate responses. We argue that these complementary modeling approaches facilitate the use of NTBS as a means of dissecting the causal architecture of cognitive systems of the human brain.


Language(s): eng - English
 Dates: 2015-07-29
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/bs.pbr.2015.06.014
PMID: 26541384
Other: Epub 2015
 Degree: -



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Title: Progress in Brain Research
Source Genre: Journal
Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 222 Sequence Number: - Start / End Page: 261 - 287 Identifier: ISSN: 0079-6123
CoNE: https://pure.mpg.de/cone/journals/resource/954926958899