The Importance of Cerebellar Connectivity on Simulated Brain Dynamics
The brain shows a complex multiscale organization that prevents a direct understanding of how structure, function and dynamics are correlated. To date, advances in neural modeling offer a unique opportunity for simulating global brain dynamics by embedding empirical data on different scales in a mat...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-07-01
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| Series: | Frontiers in Cellular Neuroscience |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fncel.2020.00240/full |
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| author | Fulvia Palesi Fulvia Palesi Roberta Maria Lorenzi Claudia Casellato Petra Ritter Petra Ritter Viktor Jirsa Claudia A.M. Gandini Wheeler-Kingshott Claudia A.M. Gandini Wheeler-Kingshott Claudia A.M. Gandini Wheeler-Kingshott Egidio D’Angelo Egidio D’Angelo |
| author_facet | Fulvia Palesi Fulvia Palesi Roberta Maria Lorenzi Claudia Casellato Petra Ritter Petra Ritter Viktor Jirsa Claudia A.M. Gandini Wheeler-Kingshott Claudia A.M. Gandini Wheeler-Kingshott Claudia A.M. Gandini Wheeler-Kingshott Egidio D’Angelo Egidio D’Angelo |
| author_sort | Fulvia Palesi |
| collection | DOAJ |
| description | The brain shows a complex multiscale organization that prevents a direct understanding of how structure, function and dynamics are correlated. To date, advances in neural modeling offer a unique opportunity for simulating global brain dynamics by embedding empirical data on different scales in a mathematical framework. The Virtual Brain (TVB) is an advanced data-driven model allowing to simulate brain dynamics starting from individual subjects’ structural and functional connectivity obtained, for example, from magnetic resonance imaging (MRI). The use of TVB has been limited so far to cerebral connectivity but here, for the first time, we have introduced cerebellar nodes and interconnecting tracts to demonstrate the impact of cerebro-cerebellar loops on brain dynamics. Indeed, the matching between the empirical and simulated functional connectome was significantly improved when including the cerebro-cerebellar loops. This positive result should be considered as a first step, since issues remain open about the best strategy to reconstruct effective structural connectivity and the nature of the neural mass or mean-field models generating local activity in the nodes. For example, signal processing is known to differ remarkably between cortical and cerebellar microcircuits. Tackling these challenges is expected to further improve the predictive power of functional brain activity simulations, using TVB or other similar tools, in explaining not just global brain dynamics but also the role of cerebellum in determining brain states in physiological conditions and in the numerous pathologies affecting the cerebro-cerebellar loops. |
| first_indexed | 2024-12-13T00:59:08Z |
| format | Article |
| id | doaj.art-3ed8160201d0425ea5fd045348257522 |
| institution | Directory Open Access Journal |
| issn | 1662-5102 |
| language | English |
| last_indexed | 2024-12-13T00:59:08Z |
| publishDate | 2020-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cellular Neuroscience |
| spelling | doaj.art-3ed8160201d0425ea5fd0453482575222022-12-22T00:04:44ZengFrontiers Media S.A.Frontiers in Cellular Neuroscience1662-51022020-07-011410.3389/fncel.2020.00240570527The Importance of Cerebellar Connectivity on Simulated Brain DynamicsFulvia Palesi0Fulvia Palesi1Roberta Maria Lorenzi2Claudia Casellato3Petra Ritter4Petra Ritter5Viktor Jirsa6Claudia A.M. Gandini Wheeler-Kingshott7Claudia A.M. Gandini Wheeler-Kingshott8Claudia A.M. Gandini Wheeler-Kingshott9Egidio D’Angelo10Egidio D’Angelo11Department of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyBrain Connectivity Center, IRCCS Mondino Foundation, Pavia, ItalyDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyBrain Simulation Section, Department of Neurology with Experimental Neurology, Charité – Universitätsmedizin Berlin and Berlin Institute of Health, Berlin, GermanyBernstein Center for Computational Neuroscience, Berlin, GermanyInstitut de Neurosciences des Systèmes – Inserm UMR1106, Aix-Marseille Université, Marseille, FranceDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyBrain Connectivity Center, IRCCS Mondino Foundation, Pavia, ItalyNMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, United KingdomDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyBrain Connectivity Center, IRCCS Mondino Foundation, Pavia, ItalyThe brain shows a complex multiscale organization that prevents a direct understanding of how structure, function and dynamics are correlated. To date, advances in neural modeling offer a unique opportunity for simulating global brain dynamics by embedding empirical data on different scales in a mathematical framework. The Virtual Brain (TVB) is an advanced data-driven model allowing to simulate brain dynamics starting from individual subjects’ structural and functional connectivity obtained, for example, from magnetic resonance imaging (MRI). The use of TVB has been limited so far to cerebral connectivity but here, for the first time, we have introduced cerebellar nodes and interconnecting tracts to demonstrate the impact of cerebro-cerebellar loops on brain dynamics. Indeed, the matching between the empirical and simulated functional connectome was significantly improved when including the cerebro-cerebellar loops. This positive result should be considered as a first step, since issues remain open about the best strategy to reconstruct effective structural connectivity and the nature of the neural mass or mean-field models generating local activity in the nodes. For example, signal processing is known to differ remarkably between cortical and cerebellar microcircuits. Tackling these challenges is expected to further improve the predictive power of functional brain activity simulations, using TVB or other similar tools, in explaining not just global brain dynamics but also the role of cerebellum in determining brain states in physiological conditions and in the numerous pathologies affecting the cerebro-cerebellar loops.https://www.frontiersin.org/article/10.3389/fncel.2020.00240/fullbrain dynamicsThe Virtual Braincerebro-cerebellar loopmultiscale approachstructural connectivityfunctional connectivity |
| spellingShingle | Fulvia Palesi Fulvia Palesi Roberta Maria Lorenzi Claudia Casellato Petra Ritter Petra Ritter Viktor Jirsa Claudia A.M. Gandini Wheeler-Kingshott Claudia A.M. Gandini Wheeler-Kingshott Claudia A.M. Gandini Wheeler-Kingshott Egidio D’Angelo Egidio D’Angelo The Importance of Cerebellar Connectivity on Simulated Brain Dynamics Frontiers in Cellular Neuroscience brain dynamics The Virtual Brain cerebro-cerebellar loop multiscale approach structural connectivity functional connectivity |
| title | The Importance of Cerebellar Connectivity on Simulated Brain Dynamics |
| title_full | The Importance of Cerebellar Connectivity on Simulated Brain Dynamics |
| title_fullStr | The Importance of Cerebellar Connectivity on Simulated Brain Dynamics |
| title_full_unstemmed | The Importance of Cerebellar Connectivity on Simulated Brain Dynamics |
| title_short | The Importance of Cerebellar Connectivity on Simulated Brain Dynamics |
| title_sort | importance of cerebellar connectivity on simulated brain dynamics |
| topic | brain dynamics The Virtual Brain cerebro-cerebellar loop multiscale approach structural connectivity functional connectivity |
| url | https://www.frontiersin.org/article/10.3389/fncel.2020.00240/full |
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