SS10.3
BENCHMARKING BRAIN CONNECTIVITY GRAPH INFERENCE: A NOVEL VALIDATION APPROACH
Alice Chevaux, Ali Fakhar, Kévin Polisano, Irène Gannaz, Sophie Achard, Université Grenoble Alpes, France
Session:
SS10: Graph signal processing for multimodal neuroimaging to unveil key mechanisms of brain functioning Lecture
Track:
Special Sessions
Location:
Bellini
Presentation Time:
Wed, 10 Sep, 11:40 - 12:00 Italy Time (UTC +2)
Session Chair:
Dimitri Van De Ville, École polytechnique fédérale de Lausanne (EPFL)
Presentation
Discussion
Resources
No resources available.
Session SS10
SS10.1: GRAPH SIGNAL PROCESSING FOR IDENTIFYING STRUCTURE-FUNCTION COUPLING USING MULTIMODAL BRAIN IMAGING WITH FMRI AND MEG
David Corredor, Wenya Liu, Paula Partanen, Samanta Knapič, University of Helsinki, Finland; Matias Palva, Aalto University, Finland; Satu Palva, University of Helsinki, Finland
SS10.2: Graph Fourier Transform to mitigate the effects of crosstalk in hdEEG recordings
Andrea Ranieri, Jlenia Toppi, Sapienza University of Rome, Italy
SS10.3: BENCHMARKING BRAIN CONNECTIVITY GRAPH INFERENCE: A NOVEL VALIDATION APPROACH
Alice Chevaux, Ali Fakhar, Kévin Polisano, Irène Gannaz, Sophie Achard, Université Grenoble Alpes, France
SS10.4: Community-Driven Signal Processing On Directed Brain Graphs
Alexandre Cionca, Chun Hei Michael Chan, Maria Giulia Preti, École polytechnique fédérale de Lausanne (EPFL), Switzerland; Maciej Jedynak, Aix Marseille University, Inserm, France; Yasser Alemán-Gómez, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Switzerland; Olivier David, Aix Marseille University, Inserm, France; Patric Hagmann, Lausanne University Hospital and University of Lausanne (CHUV-UNIL), Switzerland; Dimitri Van De Ville, École polytechnique fédérale de Lausanne (EPFL), Switzerland
SS10.5: From Nodes to Edges: Edge-Based Laplacians for Brain Signal Processing
Andrea Santoro, CENTAI Institute, Italy; Marco Nurisso, Politecnico di Torino, Italy; Giovanni Petri, Northeastern University London, United Kingdom