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A model of neurovascular coupling and the BOLD response: PART I.
Mathias, E J; Plank, M J; David, T.
Afiliación
  • Mathias EJ; a UC HPC , University of Canterbury , Christchurch , New Zealand .
  • Plank MJ; b School of Mathematics and Statistics , University of Canterbury , Christchurch , New Zealand .
  • David T; a UC HPC , University of Canterbury , Christchurch , New Zealand .
Comput Methods Biomech Biomed Engin ; 20(5): 508-518, 2017 Apr.
Article en En | MEDLINE | ID: mdl-27832709
The mechanisms with which neurons communicate with the vasculature to increase blood flow, termed neurovascular coupling is still unclear primarily due to the complex interactions between many parameters and the difficulty in accessing, monitoring and measuring them in the highly heterogeneous brain. Hence a solid theoretical framework based on existing experimental knowledge is necessary to study the relation between neural activity, the associated vasoactive factors released and their effects on the vasculature. Such a framework should also be related to experimental data so that it can be validated against repetitive experiments and generate verifiable hypothesis. We have developed a mathematical model which describes a signaling mechanism of neurovascular coupling with a model of pyramidal neuron and its corresponding fMRI BOLD response. In the first part of two papers we describe the integration of the neurovascular coupling unit extended to include a complex neuron model, which includes the important Na/K ATPase pump, with a model that provides a BOLD signal taking its input from the cerebral blood flow and the metabolic rate of oxygen consumption. We show that this produces a viable signal in terms of initial dip, positive and negative BOLD signals.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Oxígeno / Acoplamiento Neurovascular / Modelos Neurológicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Comput Methods Biomech Biomed Engin Asunto de la revista: ENGENHARIA BIOMEDICA / FISIOLOGIA Año: 2017 Tipo del documento: Article País de afiliación: Nueva Zelanda Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Oxígeno / Acoplamiento Neurovascular / Modelos Neurológicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Comput Methods Biomech Biomed Engin Asunto de la revista: ENGENHARIA BIOMEDICA / FISIOLOGIA Año: 2017 Tipo del documento: Article País de afiliación: Nueva Zelanda Pais de publicación: Reino Unido