Kinetics of Chemical Processes in the Human Brain: Modeling of the BOLD fMRI Signal
- 作者: Varfolomeev S.D.1, Semenova N.A.2, Bykov V.I.2, Tsybenova S.B.2
-
隶属关系:
- 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
- 期: 卷 488, 编号 1 (2019)
- 页面: 125-128
- 栏目: Physical Chemistry
- URL: https://journals.rcsi.science/0012-5016/article/view/154039
- DOI: https://doi.org/10.1134/S0012501619090057
- ID: 154039
如何引用文章
详细
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.
作者简介
S. Varfolomeev
Institute of Physicochemical Foundations of the Functioning of Neural Network and Artificial Intelligence, Moscow State University
Email: vibykov@mail.ru
俄罗斯联邦, Moscow, 119991
N. Semenova
Emanuel Institute of Biochemical Physics, Russian Academy of Sciences
Email: vibykov@mail.ru
俄罗斯联邦, Moscow, 119991
V. Bykov
Emanuel Institute of Biochemical Physics, Russian Academy of Sciences
编辑信件的主要联系方式.
Email: vibykov@mail.ru
俄罗斯联邦, Moscow, 119991
S. Tsybenova
Emanuel Institute of Biochemical Physics, Russian Academy of Sciences
Email: vibykov@mail.ru
俄罗斯联邦, Moscow, 119991
补充文件
