Kinetics of Chemical Processes in the Human Brain: Modeling of the BOLD fMRI Signal
- Authors: Varfolomeev S.D.1, Semenova N.A.2, Bykov V.I.2, Tsybenova S.B.2
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Affiliations:
- Institute of Physicochemical Foundations of the Functioning of Neural Network and Artificial Intelligence, Moscow State University
- Emanuel Institute of Biochemical Physics, Russian Academy of Sciences
- Issue: Vol 488, No 1 (2019)
- Pages: 125-128
- Section: Physical Chemistry
- URL: https://journals.rcsi.science/0012-5016/article/view/154039
- DOI: https://doi.org/10.1134/S0012501619090057
- ID: 154039
Cite item
Abstract
A kinetic model is presented that describes the pulse of the oxygen level increase in the excited nervous tissue of the human brain in response to an external signal. The model is based on biochemical data and describes experimental data on the hemodynamic impulse response. The model predicts the dynamic behavior of process participants preceding the oxygen pulse and determining the BOLD signal level.
About the authors
S. D. Varfolomeev
Institute of Physicochemical Foundations of the Functioning of Neural Network and Artificial Intelligence, Moscow State University
Email: vibykov@mail.ru
Russian Federation, Moscow, 119991
N. A. Semenova
Emanuel Institute of Biochemical Physics, Russian Academy of Sciences
Email: vibykov@mail.ru
Russian Federation, Moscow, 119991
V. I. Bykov
Emanuel Institute of Biochemical Physics, Russian Academy of Sciences
Author for correspondence.
Email: vibykov@mail.ru
Russian Federation, Moscow, 119991
S. B. Tsybenova
Emanuel Institute of Biochemical Physics, Russian Academy of Sciences
Email: vibykov@mail.ru
Russian Federation, Moscow, 119991
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