Project

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Exploring brain communication pathways by combining diffusion based quantitative structural connectivity and EEG source imaging : application to physiological and epileptic networks

Applicant Hagmann Patric
Number 170873
Funding scheme Sinergia
Research institution Département de radiologie médicale Centre Hospitalier Universitaire Vaudois University of Lausanne
Institution of higher education University of Lausanne - LA
Main discipline Interdisciplinary
Start/End 01.03.2017 - 31.12.2021
Approved amount 2'127'144.00
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All Disciplines (3)

Discipline
Interdisciplinary
Information Technology
Neurophysiology and Brain Research

Keywords (8)

diffusion MRI; effective connectivity; communication through coherence; connectome; electrical source imaging; functional dynamics; epilepsy; microstructural imaging

Lay Summary (French)

Lead
Explorer les mécanismes sous-jacents à la communication et au traitement de l’information dans le cerveau de manière non-invasive nécessite non seulement le développement d’outils combinant la capacité à caractériser la structure et mesurer l’activité neuronale mais également de nouveaux modèles neurophysiologiques basé sur l’expérimentation avec ces outils. Le projet se propose de réaliser ces développements.
Lay summary

Il existe un faisceau de preuve que la communication et le traitement de l’information dans le cerveau sont médiées par les fluctuations dynamiques de l’organisation d’un ensemble d’entités neuronales en un réseau qui est à la fois connecté structurellement et affiche une activité électrique cohérente. Pouvoir caractériser ces réseaux par des techniques d’imagerie non-invasives est crucial afin de pouvoir explorer leur rôle dans la cognition, le comportement et la maladie.

Le projet s’attache, d’une part, à développer les méthodes d’analyse permettant d’observer ces réseaux in-vivo en combinant l’imagerie par résonance magnétique – permettant de cartographier les faisceaux d’axones – et la localisation de source par électro-encephalographie – permettant d’enregistrer localement l’activité électrique neuronale. D’autre part le projet vise à modéliser au niveau informatique la représentation de l’information et la communication neuronale dans le réseau cérébral en étudiant la propagation de l’activité neuronale lors de stimuli visuels et lors de la propagation de crise épileptiques focales. Ce projet doit in-fine mettre à disposition de la communauté scientifique un outil logiciel permettant d’étudier la communication et la représentation de l’information neurale dans le cerveau de manière non-invasive et fournir de nouveaux modèles expliquant les mécanismes sous-jacents.

 Le projet relève de la recherche en neurosciences fondamentale et clinique. Pour mieux comprendre les mécanismes sous-jacents à la cognition, au comportement et aux maladies cérébrales, il est nécessaire de disposer d’outils non invasifs et de modèles neurophysiologiques. Dans le domaine de l’épileptologie, la meilleure compréhension des interactions dans les réseaux neuronaux pathologiques pourrait ultérieurement améliorer le traitement des patients résistants aux médicamenteux anti-épileptiques et qui sont candidat à une résection chirurgicale de leur foyer épileptique.

Direct link to Lay Summary Last update: 03.02.2017

Responsible applicant and co-applicants

Employees

Project partner

Publications

Publication
Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes
Pascucci David, Tourbier Sebastien, Rué-Queralt Joan, Carboni Margherita, Hagmann Patric, Plomp Gijs (2022), Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes, in Scientific Data, 9(1), 9-9.
Increased delta power as a scalp marker of epileptic activity: a simultaneous scalp and intracranial electroencephalography study
De Stefano Pia, Carboni Margherita, Marquis Renaud, Spinelli Laurent, Seeck Margitta, Vulliemoz Serge (2022), Increased delta power as a scalp marker of epileptic activity: a simultaneous scalp and intracranial electroencephalography study, in European Journal of Neurology, 29(1), 26-35.
Structure supports function: Informing directed and dynamic functional connectivity with anatomical priors
Pascucci David, Rubega Maria, Rué-Queralt Joan, Tourbier Sebastien, Hagmann Patric, Plomp Gijs (2022), Structure supports function: Informing directed and dynamic functional connectivity with anatomical priors, in Network Neuroscience, 1-19.
Axonal T2 estimation using the spherical variance of the strongly diffusion-weighted MRI signal
Pizzolato Marco, Andersson Mariam, Canales-Rodríguez Erick Jorge, Thiran Jean-Philippe, Dyrby Tim B. (2022), Axonal T2 estimation using the spherical variance of the strongly diffusion-weighted MRI signal, in Magnetic Resonance Imaging, 86, 118-134.
Epilepsy and brain network hubs
Royer Jessica, Bernhardt Boris C., Larivière Sara, Gleichgerrcht Ezequiel, Vorderwülbecke Bernd J., Vulliémoz Serge, Bonilha Leonardo (2022), Epilepsy and brain network hubs, in Epilepsia.
The connectome spectrum as a canonical basis for a sparse representation of fast brain activity
Rué-Queralt Joan, Glomb Katharina, Pascucci David, Tourbier Sébastien, Carboni Margherita, Vulliémoz Serge, Plomp Gijs, Hagmann Patric (2021), The connectome spectrum as a canonical basis for a sparse representation of fast brain activity, in NeuroImage, 244, 118611-118611.
Evaluation of Directed Causality Measures and Lag Estimations in Multivariate Time-Series
Heyse Jolan, Sheybani Laurent, Vulliémoz Serge, van Mierlo Pieter (2021), Evaluation of Directed Causality Measures and Lag Estimations in Multivariate Time-Series, in Frontiers in Systems Neuroscience, 15, 1.
Resting-State Phase-Amplitude Coupling Between the Human Subthalamic Nucleus and Cortical Activity: A Simultaneous Intracranial and Scalp EEG Study
Damborská Alena, Lamoš Martin, Brunet Denis, Vulliemoz Serge, Bočková Martina, Deutschová Barbora, Baláž Marek, Rektor Ivan (2021), Resting-State Phase-Amplitude Coupling Between the Human Subthalamic Nucleus and Cortical Activity: A Simultaneous Intracranial and Scalp EEG Study, in Brain Topography, 34(3), 272-282.
Computational Models in Electroencephalography
Glomb Katharina, Cabral Joana, Cattani Anna, Mazzoni Alberto, Raj Ashish, Franceschiello Benedetta (2021), Computational Models in Electroencephalography, in Brain Topography, 1.
Dynamic Functioning of Resting State Networks in Physiological and Pathological Conditions
Roberto Esposito, Filippo Cieri, Nicoletta Cera, Dante Mantini, Alessandra Griffa (2021), Dynamic Functioning of Resting State Networks in Physiological and Pathological Conditions, Frontiers Media SA, Lausanne.
Fast and high‐resolution myelin water imaging: Accelerating multi‐echo GRASE with CAIPIRINHA
Piredda Gian Franco, Hilbert Tom, Canales‐Rodríguez Erick Jorge, Pizzolato Marco, Deuster Constantin, Meuli Reto, Pfeuffer Josef, Daducci Alessandro, Thiran Jean‐Philippe, Kober Tobias (2021), Fast and high‐resolution myelin water imaging: Accelerating multi‐echo GRASE with CAIPIRINHA, in Magnetic Resonance in Medicine, 85(1), 209-222.
Automated interictal source localisation based on high-density EEG
Vorderwülbecke Bernd J., Baroumand Amir G., Spinelli Laurent, Seeck Margitta, Mierlo Pieter van, Vulliémoz Serge (2021), Automated interictal source localisation based on high-density EEG, in Seizure, 244-251.
Comparison of non-parametric T2 relaxometry methods for myelin water quantification
Canales-Rodríguez Erick Jorge, Pizzolato Marco, Piredda Gian Franco, Hilbert Tom, Kunz Nicolas, Pot Caroline, Yu Thomas, Salvador Raymond, Pomarol-Clotet Edith, Kober Tobias, Thiran Jean-Philippe, Daducci Alessandro (2021), Comparison of non-parametric T2 relaxometry methods for myelin water quantification, in Medical Image Analysis, 69, 101959-101959.
Data-driven myelin water imaging based on T1 and T2 relaxometry
Piredda Gian Franco, Hilbert Tom, Ravano Veronica, Canales-Rodríguez Erick Jorge, Pizzolato Marco, Meuli Reto, Thiran Jean-Philippe, Richiardi Jonas, Kober Tobias (2021), Data-driven myelin water imaging based on T1 and T2 relaxometry, in NMR in Biomedicine, n/a(n/a), 4668-4668.
Extracting seizure onset from surface EEG with independent component analysis: Insights from simultaneous scalp and intracerebral EEG
Barborica Andrei, Mindruta Ioana, Sheybani Laurent, Spinelli Laurent, Oane Irina, Pistol Constantin, Donos Cristian, López-Madrona Víctor J, Vulliemoz Serge, Bénar Christian-George (2021), Extracting seizure onset from surface EEG with independent component analysis: Insights from simultaneous scalp and intracerebral EEG, in NeuroImage: Clinical, 32, 102838-102838.
Fast and high-resolution myelin water imaging: Accelerating multi-echo GRASE with CAIPIRINHA
Piredda Gian Franco, Hilbert Tom, Canales-Rodríguez Erick Jorge, Pizzolato Marco, von Deuster Constantin, Meuli Reto, Pfeuffer Josef, Daducci Alessandro, Thiran Jean-Philippe, Kober Tobias (2021), Fast and high-resolution myelin water imaging: Accelerating multi-echo GRASE with CAIPIRINHA, in Magnetic Resonance in Medicine, 85(1), 209-222.
Model-informed machine learning for multi-component T2 relaxometry
Yu Thomas, Canales-Rodríguez Erick Jorge, Pizzolato Marco, Piredda Gian Franco, Hilbert Tom, Fischi-Gomez Elda, Weigel Matthias, Barakovic Muhamed, Bach Cuadra Meritxell, Granziera Cristina, Kober Tobias, Thiran Jean-Philippe (2021), Model-informed machine learning for multi-component T2 relaxometry, in Medical Image Analysis, 69, 101940-101940.
Multi-Compartment Diffusion Mri, T2 Relaxometry And Myelin Water Imaging As Neuroimaging Descriptors For Anomalous Tissue Detection
Fischi-Gomez Elda, Rafael-Patino Johnatan, Pizzolato Marco, Piredda Gian Franco, Hilbert Tom, Kober Tobias, Canales-Rodriguez Erick J., Thiran Jean-Philippe (2021), Multi-Compartment Diffusion Mri, T2 Relaxometry And Myelin Water Imaging As Neuroimaging Descriptors For Anomalous Tissue Detection, in 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 307-311, IEEE, Piscataway307-311.
Revisiting the T2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares
Canales-Rodríguez Erick Jorge, Pizzolato Marco, Yu Thomas, Piredda Gian Franco, Hilbert Tom, Radua Joaquim, Kober Tobias, Thiran Jean-Philippe (2021), Revisiting the T2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares, in NeuroImage, 244, 118582-118582.
Slow oscillations open susceptible time windows for epileptic discharges
Sheybani Laurent, Mégevand Pierre, Spinelli Laurent, Bénar Christian G., Momjian Shahan, Seeck Margitta, Quairiaux Charles, Kleinschmidt Andreas, Vulliémoz Serge (2021), Slow oscillations open susceptible time windows for epileptic discharges, in Epilepsia, 2357-2371.
The diffusion-simulated connectivity (DiSCo) dataset
Rafael-Patino Jonathan, Girard Gabriel, Truffet Raphaël, Pizzolato Marco, Caruyer Emmanuel, Thiran Jean-Philippe (2021), The diffusion-simulated connectivity (DiSCo) dataset, in Data in Brief, 38, 107429-107429.
Ictal EEG source localization in focal epilepsy: Review and future perspectives
van Mierlo Pieter, Vorderwülbecke Bernd J., Staljanssens Willeke, Seeck Margitta, Vulliémoz Serge (2020), Ictal EEG source localization in focal epilepsy: Review and future perspectives, in Clinical Neurophysiology, 131(11), 2600-2616.
Modeling time-varying brain networks with a self-tuning optimized Kalman filter
Pascucci D., Rubega M., Plomp G. (2020), Modeling time-varying brain networks with a self-tuning optimized Kalman filter, in PLOS Computational Biology, 16(8), e1007566-e1007566.
Detection of epileptic activity in presumably normal EEG
Baldini Sara, Pittau Francesca, Birot Gwenael, Rochas Vincent, Tomescu Miralena I, Vulliémoz Serge, Seeck Margitta (2020), Detection of epileptic activity in presumably normal EEG, in Brain Communications, 2(2), 1.
Harmonic waves as the fundamental principle underlying temporo-spatial dynamics of brain and mind
Atasoy Selen, Deco Gustavo, Kringelbach Morten L. (2020), Harmonic waves as the fundamental principle underlying temporo-spatial dynamics of brain and mind, in Physics of Life Reviews, 33, 67-69.
Uncovering the spatiotemporal scales of common neuro-mental constructs
Vila-Vidal Manel, Capouskova Katerina, Atasoy Selen, Kringelbach Morten L., Deco Gustavo (2020), Uncovering the spatiotemporal scales of common neuro-mental constructs, in Physics of Life Reviews, 33, 64-66.
Low entropy map of brain oscillatory activity identifies spatially localized events: A new method for automated epilepsy focus prediction
Vila-Vidal Manel, Pérez Enríquez Carmen, Principe Alessandro, Rocamora Rodrigo, Deco Gustavo, Tauste Campo Adrià (2020), Low entropy map of brain oscillatory activity identifies spatially localized events: A new method for automated epilepsy focus prediction, in NeuroImage, 208, 116410-116410.
Adaptive phase correction of diffusion-weighted images
Pizzolato Marco, Gilbert Guillaume, Thiran Jean-Philippe, Descoteaux Maxime, Deriche Rachid (2020), Adaptive phase correction of diffusion-weighted images, in NeuroImage, 206, 116274-116274.
Abnormal directed connectivity of resting state networks in focal epilepsy
Carboni Margherita, De Stefano Pia, Vorderwülbecke Bernd J., Tourbier Sebastien, Mullier Emeline, Rubega Maria, Momjian Shahan, Schaller Karl, Hagmann Patric, Seeck Margitta, Michel Christoph M., van Mierlo Pieter, Vulliemoz Serge (2020), Abnormal directed connectivity of resting state networks in focal epilepsy, in NeuroImage: Clinical, 27, 102336-102336.
Brain networks involved in generalized periodic discharges (GPD) in post-anoxic-ischemic encephalopathy
Stefano Pia De, Carboni Margherita, Pugin Deborah, Seeck Margitta, Vulliémoz Serge (2020), Brain networks involved in generalized periodic discharges (GPD) in post-anoxic-ischemic encephalopathy, in Resuscitation, 155, 143-151.
Connectome spectral analysis to track EEG task dynamics on a subsecond scale
Glomb Katharina, Queralt Joan Rué, Pascucci David, Defferrard Michaël, Tourbier Sébastien, Carboni Margherita, Rubega Maria, Vulliémoz Serge, Plomp Gijs, Hagmann Patric (2020), Connectome spectral analysis to track EEG task dynamics on a subsecond scale, in NeuroImage, 221, 117137-117137.
DWI Simulation-Assisted Machine Learning Models for Microstructure Estimation
Rafael-Patino Jonathan, Yu Thomas, Delvigne Victor, Barakovic Muhamed, Pizzolato Marco, Girard Gabriel, Jones Derek K., Canales-Rodríguez Erick J., Thiran Jean-Philippe (2020), DWI Simulation-Assisted Machine Learning Models for Microstructure Estimation, in Computational Diffusion MRI, 125-134, Springer International Publishing, Shenzhen, China125-134.
Localizing non-epileptiform abnormal brain function in children using high density EEG: Electric Source Imaging of focal slowing
Baldini Sara, Coito Ana, Korff Christian M., Garibotto Valentina, Ndenghera Martin, Spinelli Laurent, Bartoli Andrea, Momjian Shahan, Schaller Karl, Seeck Margittta, Pittau Francesca, Vulliemoz Serge (2020), Localizing non-epileptiform abnormal brain function in children using high density EEG: Electric Source Imaging of focal slowing, in Epilepsy Research, 159, 106245-106245.
Signal propagation via cortical hierarchies
Vézquez-Rodríguez Bertha, Liu Zhen-Qi, Hagmann Patric, Misic Bratislav (2020), Signal propagation via cortical hierarchies, in Network Neuroscience, 4(4), 1072-1090.
Using structural connectivity to augment community structure in EEG functional connectivity
Glomb Katharina, Mullier Emeline, Carboni Margherita, Rubega Maria, Iannotti Giannarita, Tourbier Sebastien, Seeber Martin, Vulliemoz Serge, Hagmann Patric (2020), Using structural connectivity to augment community structure in EEG functional connectivity, in Network Neuroscience, 4(3), 761-787.
The network integration of epileptic activity in relation to surgical outcome
Carboni M., Rubega M., Iannotti G.R., De Stefano P., Toscano G., Tourbier S., Pittau F., Hagmann P., Momjian S., Schaller K., Seeck M., Michel C.M., van Mierlo P., Vulliemoz S. (2019), The network integration of epileptic activity in relation to surgical outcome, in Clinical Neurophysiology, 130(12), 2193-2202.
The Role of EEG-fMRI in Studying Cognitive Network Alterations in Epilepsy
Shamshiri Elhum A., Sheybani Laurent, Vulliemoz Serge (2019), The Role of EEG-fMRI in Studying Cognitive Network Alterations in Epilepsy, in Frontiers in Neurology, 10, 1.
Information Processing in Medical Imaging
Albert C. S. Chung, James C. Gee, Paul A. Yushkevich, Siqi Bao (2019), Information Processing in Medical Imaging, Springer, Unknown.
Computational Diffusion MRI
Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M. W. Tax (2019), Computational Diffusion MRI, Springer, Germany.
Interictal epileptogenic zone localization in patients with focal epilepsy using electric source imaging and directed functional connectivity from low‐density EEG
Coito Ana, Biethahn Silke, Tepperberg Janina, Carboni Margherita, Roelcke Ulrich, Seeck Margitta, Mierlo Pieter, Gschwind Markus, Vulliemoz Serge (2019), Interictal epileptogenic zone localization in patients with focal epilepsy using electric source imaging and directed functional connectivity from low‐density EEG, in Epilepsia Open, 4(2), 281-292.
Postoperative memory prognosis in temporal lobe epilepsy surgery: The contribution of postictal memory
Sveikata Lukas, Kavan Nicole, Pegna Alan J., Seeck Margitta, Assal Frederic, Momjian Shahan, Schaller Karl, Vulliemoz Serge (2019), Postoperative memory prognosis in temporal lobe epilepsy surgery: The contribution of postictal memory, in Epilepsia, 1639-1649.
Estimating EEG Source Dipole Orientation Based on Singular-value Decomposition for Connectivity Analysis
Rubega M., Carboni M., Seeber M., Pascucci D., Tourbier S., Toscano G., Van Mierlo P., Hagmann P., Plomp G., Vulliemoz S., Michel C. M. (2018), Estimating EEG Source Dipole Orientation Based on Singular-value Decomposition for Connectivity Analysis, in Brain Topography.
Directed functional connections underlying spontaneous brain activity
Coito Ana, Michel Christoph M., Vulliemoz Serge, Plomp Gijs (2018), Directed functional connections underlying spontaneous brain activity, in Human Brain Mapping, 40(3), 879-888.
Influence of Time-Series Normalization, Number of Nodes, Connectivity and Graph Measure Selection on Seizure-Onset Zone Localization from Intracranial EEG
van Mierlo Pieter, Lie Octavian, Staljanssens Willeke, Coito Ana, Vulliémoz Serge (2018), Influence of Time-Series Normalization, Number of Nodes, Connectivity and Graph Measure Selection on Seizure-Onset Zone Localization from Intracranial EEG, in Brain Topography, 31(5), 753-766.
Influence of Time-Series Normalization, Number of Nodes, Connectivity and Graph Measure Selection on Seizure-Onset Zone Localization from Intracranial EEG
van Mierlo Pieter, Lie Octavian, Staljanssens Willeke, Coito Ana, Vulliémoz Serge (2018), Influence of Time-Series Normalization, Number of Nodes, Connectivity and Graph Measure Selection on Seizure-Onset Zone Localization from Intracranial EEG, in Brain Topography, 31(5), 753-766.
Network-Based Asymmetry of the Human Auditory System
Mišić Bratislav, Betzel Richard F, Griffa Alessandra, de Reus Marcel A, He Ye, Zuo Xi-Nian, van den Heuvel Martijn P, Hagmann Patric, Sporns Olaf, Zatorre Robert J (2018), Network-Based Asymmetry of the Human Auditory System, in Cerebral Cortex, 28(7), 2655-2664.
Early alterations of social brain networks in young children with autism
Sperdin Holger Franz, Coito Ana, Kojovic Nada, Rihs Tonia Anahi, Jan Reem Kais, Franchini Martina, Plomp Gijs, Vulliemoz Serge, Eliez Stephan, Michel Christoph Martin, Schaer Marie (2018), Early alterations of social brain networks in young children with autism, in eLife, 7, 1.
Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes
Verhoeven Thibault, Coito Ana, Plomp Gijs, Thomschewski Aljoscha, Pittau Francesca, Trinka Eugen, Wiest Roland, Schaller Karl, Michel Christoph, Seeck Margitta, Dambre Joni, Vulliemoz Serge, van Mierlo Pieter (2018), Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes, in NeuroImage: Clinical, 17, 10-15.
Automated long-term EEG analysis to localize the epileptogenic zone
van Mierlo Pieter, Strobbe Gregor, Keereman Vincent, Birot Gwénael, Gadeyne Stefanie, Gschwind Markus, Carrette Evelien, Meurs Alfred, Van Roost Dirk, Vonck Kristl, Seeck Margitta, Vulliémoz Serge, Boon Paul (2017), Automated long-term EEG analysis to localize the epileptogenic zone, in Epilepsia Open, 2(3), 322-333.
EEG source connectivity to localize the seizure onset zone in patients with drug resistant epilepsy
Staljanssens Willeke, Strobbe Gregor, Van Holen Roel, Keereman Vincent, Gadeyne Stefanie, Carrette Evelien, Meurs Alfred, Pittau Francesca, Momjian Shahan, Seeck Margitta, Boon Paul, Vandenberghe Stefaan, Vulliemoz Serge, Vonck Kristl, van Mierlo Pieter (2017), EEG source connectivity to localize the seizure onset zone in patients with drug resistant epilepsy, in NeuroImage: Clinical, 16, 689-698.

Datasets

VEPCON: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes

Author Pascucci, David
Publication date 03.12.2021
Persistent Identifier (PID) doi:10.18112/openneuro.ds003505.v1.0.3
Repository openneuro.org


Scientific events



Self-organised

Title Date Place

Knowledge transfer events

Active participation

Title Type of contribution Date Place Persons involved
 One-day Workshop on Open, Reproducible and Replicatable Neuroscience with Connectome Mapper 3 training Workshop 06.10.2018 Lausanne, Switzerland Renaud Marquis; Tourbier Sébastien; Pizzolato Marco; Rubega Maria; Glomb Katharina; Hagmann Patric;


Self-organised

Title Date Place

Awards

Title Year
Best clinical research publication in Epilepsia Open Journal, year 2019. First author A. Coito (funded by a previous SNF grant 169198), last author S. Vulliemoz. Work co-funded by this Sinergia funding 2019
Dr Bernd Vorderwülbecke, a German neurologist from the Charité, Berlin, will join our group for a 2-year research fellowship funded by the Deutsche Forschungsgemeinschaft (DFG). He will work on EEG-based connectivity and contribute to the Sinergia consortium with clinical and EEG expertise. Salary for a 1 year Post-doc with Prof Vulliemoz. 2019
Joint ReproNim/International Neuroscience Coordinating Facilities (INCF) Fellowship 2019 Travel grant we do not know how much yet. 2019
Presenter’s travel award, Cosyne 2019 2019

Associated projects

Number Title Start Funding scheme
156874 Quantitative characterization of the connectome in the progression of psychosis 01.05.2015 Project funding
157063 Towards micro-structure-based tractography for quantitative brain connectivity analysis 01.10.2014 Project funding
144529 Fast Global Tractography for Sensitive MR Connectomics 01.10.2012 Project funding
159705 Temporal dynamics of whole-brain neuronal networks 01.05.2015 Project funding
130090 Imaging the connectome in the early phase of psychosis 01.01.2011 Project funding
192749 Network Diagnosis for Epilepsy 01.01.2021 Project funding
175974 Regularized Linear Inverse Problems in Diffusion Magnetic Resonance and Ultrasound Imaging 01.11.2017 Project funding
184677 Capturing thoughts: the neural correlates of spontaneous mentation 01.05.2019 Project funding

Abstract

BACKGROUND Traditionally explorations of the structural connectivity patterns of the brain have been kept separate from the studies of brain functional dynamics and connectivity probably because the fields of expertise are quite different. However there are strong reasons to have those fields merge in a common framework. Indeed, neuronal assemblies are distributed networks of physically connected neurons transiently coupled by temporally coherent activity. They are of strong interest because they are believed to encode elementary cognitive acts or more generally produce temporal windows for neuronal communication. In epilepsy patients, the axonal scaffold sets the premises of seizure onset and shapes the patterns of seizure propagation. The critical and metastable state of brain functional activity is largely related to the underlying connectome architecture, as computational models show. Electrical Source Imaging (ESI), can map neuronal activity over the entire brain at appropriate temporal resolution but suffers from limited localization power and alone has strong limitations when studying neuronal assemblies or seizures onset and propagation since physical connectedness between sources is unknown. Furthermore functional coupling metrics derived from ESI are heavily influenced by assumptions on conduction delays. On the other hand diffusion MRI (dMRI) allows mapping the large-scale structural brain connectivity network, including length of fiber pathways and has the potential, in combination with additional MRI techniques, to inform on axonal diameter distribution and myelination. Those elements are essential to map propagation routs and conduction speed. Beyond the technical challenge of combining structural connectivity data derived from MRI with ESI, the analysis of the complex interplay between those two dimensions, namely structure and function, is not trivial and has only been partially addressed. Accordingly, in addition to the fusion of structural and functional data, there is a need for a new framework encompassing simultaneously the dynamic non-stationary nature of brain functional oscillations and the physical constraints on propagation through axonal connections to identify and follow across time and space information or seizure propagation. AIM OF THE PROJECT •Develop a reconstruction framework, which will provide, from ESI and dMRI data, a brain network representation. To each node, representing a cortical region, an electrical source will be associated (time series). Each edge will represent an existing fiber tract to which information of length, size, axonal diameter distribution and myelination will be associated.•Develop new methods to constrain ESI sources by using structural connectivity information.•Determine the connection specific propagation delays by combining microstructural information and phase lags in well-defined visual stimulus paradigms and intracranial electrophysiology.•Fit new computational models of spontaneous activity and epilepsy to study criticality in the brain. •Develop a dedicated analysis framework to follow and characterize the propagation of spatio-temporal coupling with a dynamic network model.•Explore with this framework mechanisms of connectome constrained functional connectivity in the visual system and associated feed-forward and -backward mechanisms.•Explore with this framework the mechanisms of seizure onset, propagation and inter-ictal resting activity in epileptic patients.EXPECTED IMPACT Providing a mapping and analysis framework enabling to follow at high spatial and temporal resolution the propagation of neuronal electrical activity through the connectome is of highest utility to a large community of systems, cognitive and clinical neuroscientists. In addition our expected contributions to the understanding of neuronal information flow during vision and characterization of seizure propagation through experimentation and modeling is expected to advance those specific fields significantly.
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