A while back we made our expanded brain model, capable of describing and predicting various multi-species data, available on bioRxiv (https://doi.org/10.1101/2021.03.25.437053). After some further work we are aiming to submit our work, In the meanwhile feel free to take part of the currently available version.

Abstract: The neurovascular coupling (NVC) forms the foundation for functional imaging techniques of the brain, since NVC connects neural activity with observable hemodynamic changes. Many aspects of the NVC have been studied both experimentally and with mathematical models: various combinations of blood volume and flow, electrical activity, oxygen saturation measures, blood oxygenation level-dependent (BOLD) response, and optogenetics have been measured and modeled in rodents, primates, or humans. We now present a first inter-connected mathematical model that describes all such data types simultaneously. The model can predict independent validation data not used for training. Using simulations, we show for example how complex bimodal behaviors appear upon stimulation. These simulations thus demonstrate how our new quantitative model, incorporating most of the core aspects of the NVC, can be used to mechanistically explain each of its constituent datasets.

Overview of the presented study: A: Cellular pathways underlying the neurovascular coupling (NVC). B. Overview of commonly used experimental techniques C. Overview of the study D. Comparison of different published models describing the NVC with regards to different mechanisms