Abstract
Transcranial magnetic stimulation (TMS) has been used for more than 20 years to investigate connectivity and plasticity in the human cortex. By combining TMS with high-density electroencephalography (hd-EEG), one can stimulate any cortical area and measure the effects produced by this perturbation in the rest of the cerebral cortex. The purpose of this paper is to investigate changes of information flow in the brain after TMS from a functional and structural perspective, using multimodal modeling of source reconstructed TMS/hd-EEG recordings and DTI tractography. We prove how brain dynamics induced by TMS is constrained and driven by its structure, at different spatial and temporal scales, especially when considering cross-frequency interactions. These results shed light on the function-structure organization of the brain network at the global level, and on the huge variety of information contained in it.
Original language | English |
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Title of host publication | 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 5396-5399 |
Number of pages | 4 |
ISBN (Electronic) | 9781424492718, 9781424492701 (DVD) |
DOIs | |
Publication status | Published - 5 Nov 2015 |
Event | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy Duration: 25 Aug 2015 → 29 Aug 2015 |
Publication series
Name | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Publisher | IEEE |
ISSN (Print) | 1094-687X |
ISSN (Electronic) | 1558-4615 |
Conference
Conference | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 |
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Country/Territory | Italy |
City | Milan |
Period | 25/08/15 → 29/08/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
Keywords
- Electroencephalography
- Brain modeling
- Image reconstruction
- Diffusion tensor imaging
- Adaptation models
- Magnetic stimulation
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics