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Function Based Brain Modeling and Simulation of an Ischemic Region in Post-Stroke Patients using the Bidomain.

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Title: Function Based Brain Modeling and Simulation of an Ischemic Region in Post-Stroke Patients using the Bidomain.
Authors: Lopez-Rincon, Alejandro1 (AUTHOR) alejandro.lopezrn@hotmail.com, Cantu, Cesar2 (AUTHOR), Etcheverry, Gibran3 (AUTHOR), Soto, Rogelio2 (AUTHOR), Shimoda, Shingo4 (AUTHOR)
Source: Journal of Neuroscience Methods. Feb2020, Vol. 331, pN.PAG-N.PAG. 1p.
Subjects: Cerebral hemispheres, Simulation methods & models, Computer simulation, Stroke patients, Sensorimotor cortex
Abstract: • Mathematical modeling based on functional and biological constraints in the brain. • Simulation and modeling of an ischemic region in the brain for post-stroke patients. • Measured brain activity comparison with simulation results. 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. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Neuroscience Methods is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Function Based Brain Modeling and Simulation of an Ischemic Region in Post-Stroke Patients using the Bidomain.
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  Data: <searchLink fieldCode="DE" term="%22Cerebral+hemispheres%22">Cerebral hemispheres</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Stroke+patients%22">Stroke patients</searchLink><br /><searchLink fieldCode="DE" term="%22Sensorimotor+cortex%22">Sensorimotor cortex</searchLink>
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  Label: Abstract
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  Data: • Mathematical modeling based on functional and biological constraints in the brain. • Simulation and modeling of an ischemic region in the brain for post-stroke patients. • Measured brain activity comparison with simulation results. 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Journal of Neuroscience Methods is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.jneumeth.2019.108464
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      – SubjectFull: Stroke patients
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      – SubjectFull: Sensorimotor cortex
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      – TitleFull: Function Based Brain Modeling and Simulation of an Ischemic Region in Post-Stroke Patients using the Bidomain.
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              Text: Feb2020
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