Your browser doesn't support javascript.
loading
Cortical depth-dependent modeling of visual hemodynamic responses.
Lacy, Thomas C; Robinson, Peter A; Aquino, Kevin M; Pang, James C.
  • Lacy TC; School of Physics, University of Sydney, New South Wales, Australia; Center for Integrative Brain Function, University of Sydney, New South Wales, Australia.
  • Robinson PA; School of Physics, University of Sydney, New South Wales, Australia; Center for Integrative Brain Function, University of Sydney, New South Wales, Australia.
  • Aquino KM; School of Physics, University of Sydney, New South Wales, Australia; The Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Victoria, Australia.
  • Pang JC; The Turner Institute for Brain and Mental Health, School of Psychological Sciences, and Monash Biomedical Imaging, Monash University, Victoria, Australia; QIMR Berghofer Medical Research Institute, Queensland, Australia. Electronic address: james.pang1@monash.edu.
J Theor Biol ; 535: 110978, 2022 02 21.
Article en En | MEDLINE | ID: mdl-34952032
A physiologically based three-dimensional (3D) hemodynamic model is developed to predict the experimentally observed blood oxygen level dependent (BOLD) responses versus the cortical depth induced by visual stimuli. Prior 2D approximations are relaxed in order to analyze 3D blood flow dynamics as a function of cortical depth. Comparison of the predictions with experimental data for evoked stimuli demonstrates that the full 3D model performs at least as well as previous approaches while remaining parsimonious. In particular, the 3D model requires significantly fewer assumptions and model parameters than previous models such that there is no longer need to define depth-specific parameter values for spatial spreading, peak amplitude, and hemodynamic velocity.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Hemodinámica Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Hemodinámica Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article