%0 Journal Article %1 VAT06 %A Vatov, Larisa %A Kizner, Ziv %A Ruppin, Eytan %A Meilin, Sigal %A Manor, Tamar %A Mayevsky, Avraham %D 2006 %J Bulletin of Mathematical Biology %K imported %N 2 %P 275--291 %T Modeling Brain Energy Metabolism and Function: A Multiparametric Monitoring Approach %V 68 %X Abstract��Mathematical modeling of brain function is an important tool needed for a better understanding of experimental results and clinical situations. In the present study, we are constructing and testing a mathematical model capable of simulating changes in brain energy metabolism that develop in real time under various pathophysiological conditions. The model incorporates the following parameters: cerebral blood flow, partial oxygen pressure, mitochondrial NADH redox state, and extracellular potassium. Accordingly, all the model variables are only time dependent (`point-model' approach). Numerical runs demonstrate the ability of the model to mimic pathological conditions, such as complete and partial ischemia, cortical spreading depression under normoxic and partial ischemic conditions. They also show that, when properly tuned, a model of this type permits the monitoring of only one or two crucial variables and the computation of the remaining variables in real time during clinical or experimental procedures.

@article{VAT06, abstract = {Abstract��Mathematical modeling of brain function is an important tool needed for a better understanding of experimental results and clinical situations. In the present study, we are constructing and testing a mathematical model capable of simulating changes in brain energy metabolism that develop in real time under various pathophysiological conditions. The model incorporates the following parameters: cerebral blood flow, partial oxygen pressure, mitochondrial NADH redox state, and extracellular potassium. Accordingly, all the model variables are only time dependent (`point-model' approach). Numerical runs demonstrate the ability of the model to mimic pathological conditions, such as complete and partial ischemia, cortical spreading depression under normoxic and partial ischemic conditions. They also show that, when properly tuned, a model of this type permits the monitoring of only one or two crucial variables and the computation of the remaining variables in real time during clinical or experimental procedures.}, added-at = {2009-03-03T17:19:04.000+0100}, author = {Vatov, Larisa and Kizner, Ziv and Ruppin, Eytan and Meilin, Sigal and Manor, Tamar and Mayevsky, Avraham}, biburl = {https://www.bibsonomy.org/bibtex/2da009a795706ea181ea7ac18fb892c2a/bronckobuster}, interhash = {bc466d59b7e10c5cbeca829a86788da1}, intrahash = {da009a795706ea181ea7ac18fb892c2a}, journal = {Bulletin of Mathematical Biology}, keywords = {imported}, month = {February}, number = 2, pages = {275--291}, timestamp = {2009-03-03T17:19:56.000+0100}, title = {Modeling Brain Energy Metabolism and Function: A Multiparametric Monitoring Approach}, volume = 68, year = { 2006} }