Document Type
Article
Publication Date
2-2020
Abstract
Background. Several studies have shown that post-stroke patients develop divergent activity in the sensorimotor areas of the affected hemisphere of the brain compared to healthy people during motor tasks. Proper mathematical models will help us understand this activity and clarify the associated underlying mechanisms.
New Method. This research describes an anatomically based brain computer model in post-stroke patients. We simulate an ischemic region for arm motion using the bidomain approach. Two scenarios are considered: a healthy subject and a post-stroke patient with motion impairment. Next, we limit the volume of propagation considering only the sensorimotor area of the brain.
Comparison with existing methods. In comparison to existing methods, we combine the use of the bidomain for modeling the propagation of the electrical activity across the brain volume with functional information to limit the volume of propagation and the position of the expected stimuli, given a specific task. Whereas just using the bidomain without limiting the functional volume, propagates the electrical activity into non-expected areas.
Results. To validate the simulation, we compare the activity with patient measurements using functional near-infrared spectroscopy during arm motion (n=5) against controls (n=3). The results are consistent with empirical measurements and previous research and show that there is a disparity between position and number of spikes in post-stroke patients in contrast to healthy subjects.
Conclusions. These results hold promise in improving the understanding of brain deterioration in stroke patients and the re-arrangement of brain networks. Furthermore, shows the use of functionality based brain modeling.
Recommended Citation
Lopez-Rincon, Alejandro, Cesar Cantu, Gibran Etcheverry, Rogelio Soto, and Shingo Shimoda. "Function based brain modeling and simulation of an ischemic region in post-stroke patients using the bidomain." Journal of Neuroscience Methods 331 (2020): 108464. https://doi.org/10.1016/j.jneumeth.2019.108464
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Title
Journal of Neuroscience Methods
DOI
https://doi.org/10.1016/j.jneumeth.2019.108464
Comments
Under a Creative Commons http://creativecommons.org/licenses/by/4.0/