June 13–15, 2022
Düsseldorf, GE (Digital Event)
Organizers: Simon Eickhoff, Claus Hilgetag, and Petra Ritter
Educational Session: Predictive versus mechanistic Approaches
Generative models of connectome wiring
Speaker : Alexander FornitoModeling Multiscale Brain Dynamics and Structure
Speaker : Peter RobinsonMechanistic and predictive approaches to brain connectivity
Speaker : Edward T BullmoreEntropy, Free Energy, Symmetry and Dynamics in the Brain
Speaker : Hiba SheheitliHow the ideas of connectivity have evolved
Speaker : Randy McIntoshThe Kötter Lecture
Speaker : Dani BassettSession 1: Connectome based Predictions.
Translating Predictive Models from Big to Small Data
Speaker : Thomas YeoWhat is the generalizability of connectome-based predictive models?
Speaker : Sarah GenonMovies in the Magnet: Naturalistic Viewing for phenotype prediction
Speaker : Susanne WeisThe quest for human brain fingerprints: a perspective
Speaker : Enrico AmicoDeciphering topology from topography in the imaging of brain networks
Speaker : Jakob SeidlitzPredicting the “P-Factor” of Psychopathology Using Functional Connectivity
Speaker : Deanna BarchTracing circuits from variation in high resolution tractography, transcription, and temporal dimensions
Speaker : Christine CharvetPrecision fMRI of individual human brain networks
Speaker : Caterina GrattonSession 2: Connectome based inference of mechanisms
What is the function of brain waves?
Speaker : Michael BreakspearThe Thermodynamics of Mind
Speaker : Gustavo DecoGenetic and phylogenetic uncoupling of structure and function in human transmodal cortex
Speaker : Sofie ValkLinking brain dynamics and synaptic (dys)function
Speaker : Richard RoschInferring pathology in cortical microcircuits from M/EEG data in schizophrenia
Speaker : Rick AdamsConnectivity in Small Brain Networks from Schizophrenia Subtypes to Wellness
Speaker : Rosalyn MoranNeural mass modeling and causal discovery in fMRI
Speaker : Pedro Valdes SosaDynamical differential covariance recovers directional network structure in multiscale neural systems
Speaker : Terrence Sejnowski