caa a22 4500 445847700 CHVBK 20180317145404.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s10548-010-0166-6 doi (NATIONALLICENCE)springer-10.1007/s10548-010-0166-6 Relationship Between Flow and Metabolism in BOLD Signals: Insights from Biophysical Models [Elektronische Daten] [Solenna Blanchard, Théo Papadopoulo, Christian-George Bénar, Nicole Voges, Maureen Clerc, Habib Benali, Jan Warnking, Olivier David, Fabrice Wendling] In many physiological or pathological situations, the interpretation of BOLD signals remains elusive as the intimate link between neuronal activity and subsequent flow/metabolic changes is not fully understood. During the past decades, a number of biophysical models of the neurovascular coupling have been proposed. It is now well-admitted that these models may bridge between observations (fMRI data) and underlying biophysical and (patho-)physiological mechanisms (related to flow and metabolism) by providing mechanistic explanations. In this study, three well-established models (Buxton's, Friston's and Sotero's) are investigated. An exhaustive parameter sensitivity analysis (PSA) was conducted to study the marginal and joint influences of model parameters on the three main features of the BOLD response (namely the principal peak, the post-stimulus undershoot and the initial dip). In each model, parameters that have the greatest (and least) influence on the BOLD features as well as on the direction of variation of these features were identified. Among the three studied models, parameters were shown to affect the output features in different manners. Indeed, the main parameters revealed by the PSA were found to strongly depend on the way the flow(CBF)-metabolism(CMRO2) relationship is implemented (serial vs. parallel). This study confirmed that the model structure which accounts for the representation of the CBF-CMRO2 relationship (oxygen supply by the flow vs. oxygen demand from neurons) plays a key role. More generally, this work provides substantial information about the tuning of parameters in the three considered models and about the subsequent interpretation of BOLD signals based on these models. Springer Science+Business Media, LLC, 2010 BOLD signal nationallicence Biophysical models nationallicence CBF-CMRO2 relationship nationallicence Parameter sensitivity analysis nationallicence Blanchard Solenna INSERM, U642, 35000, Rennes, France aut Papadopoulo Théo INRIA, Sophia-Antipolis Méditerranée, Athena Project-Team, 06902, Sophia-Antipolis, France aut Bénar Christian-George INSERM, U751, 13000, Marseille, France aut Voges Nicole INSERM, U751, 13000, Marseille, France aut Clerc Maureen INRIA, Sophia-Antipolis Méditerranée, Athena Project-Team, 06902, Sophia-Antipolis, France aut Benali Habib INSERM, U678, CHU Pitié-Salpêtrière, 75634, Paris, France aut Warnking Jan INSERM, U836, Grenoble Institut des Neurosciences, 38043, Grenoble, France aut David Olivier INSERM, U836, Grenoble Institut des Neurosciences, 38043, Grenoble, France aut Wendling Fabrice INSERM, U642, 35000, Rennes, France aut Brain Topography Springer US; http://www.springer-ny.com 24/1(2011-03-01), 40-53 0896-0267 24:1<40 2011 24 10548 https://doi.org/10.1007/s10548-010-0166-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10548-010-0166-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Blanchard Solenna INSERM, U642, 35000, Rennes, France aut NATIONALLICENCE 700 1- Papadopoulo Théo INRIA, Sophia-Antipolis Méditerranée, Athena Project-Team, 06902, Sophia-Antipolis, France aut NATIONALLICENCE 700 1- Bénar Christian-George INSERM, U751, 13000, Marseille, France aut NATIONALLICENCE 700 1- Voges Nicole INSERM, U751, 13000, Marseille, France aut NATIONALLICENCE 700 1- Clerc Maureen INRIA, Sophia-Antipolis Méditerranée, Athena Project-Team, 06902, Sophia-Antipolis, France aut NATIONALLICENCE 700 1- Benali Habib INSERM, U678, CHU Pitié-Salpêtrière, 75634, Paris, France aut NATIONALLICENCE 700 1- Warnking Jan INSERM, U836, Grenoble Institut des Neurosciences, 38043, Grenoble, France aut NATIONALLICENCE 700 1- David Olivier INSERM, U836, Grenoble Institut des Neurosciences, 38043, Grenoble, France aut NATIONALLICENCE 700 1- Wendling Fabrice INSERM, U642, 35000, Rennes, France aut NATIONALLICENCE 773 0- Brain Topography Springer US; http://www.springer-ny.com 24/1(2011-03-01), 40-53 0896-0267 24:1<40 2011 24 10548 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer