Kinetics of Chemical Processes in the Human Brain: Modeling of the BOLD fMRI Signal
- Autores: Varfolomeev S.D.1, Semenova N.A.2, Bykov V.I.2, Tsybenova S.B.2
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Afiliações:
- 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
- Edição: Volume 488, Nº 1 (2019)
- Páginas: 125-128
- Seção: Physical Chemistry
- URL: https://journals.rcsi.science/0012-5016/article/view/154039
- DOI: https://doi.org/10.1134/S0012501619090057
- ID: 154039
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Resumo
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.
Sobre autores
S. Varfolomeev
Institute of Physicochemical Foundations of the Functioning of Neural Network and Artificial Intelligence, Moscow State University
Email: vibykov@mail.ru
Rússia, Moscow, 119991
N. Semenova
Emanuel Institute of Biochemical Physics, Russian Academy of Sciences
Email: vibykov@mail.ru
Rússia, Moscow, 119991
V. Bykov
Emanuel Institute of Biochemical Physics, Russian Academy of Sciences
Autor responsável pela correspondência
Email: vibykov@mail.ru
Rússia, Moscow, 119991
S. Tsybenova
Emanuel Institute of Biochemical Physics, Russian Academy of Sciences
Email: vibykov@mail.ru
Rússia, Moscow, 119991
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