title: Neural-Event-Triggered fMRI of large-scale neural networks.
abstract: Brains are dynamic systems, consisting of huge number of massively interconnected elementary components. The activity of these components results in an initial condition-sensitive evolution of network states through highly non-linear, probabilistic interactions. The dynamics of such systems cannot be described merely by studying the behavior of their components; instead their study benefits from employing multimodal methods. Neural-Event-Triggered (NET) fMRI is a novel method allowing identification of events that can be used to examine multi-structure activity in the brain. First results offered insights into the networks that might be involved in memory consolidation. On-going work examines the physiological underpinnings of the up and down modulation of metabolic activity, mapped with this methodology.
authors.affiliation: Max Planck Institute for Biological Cybernetics, Imaging Science and Biomedical Engineering, University of Manchester, Manchester, United Kingdom. Electronic address: nikos.logothetis@tuebingen.mpg.de.
authors.forename: Nikos K
authors.initials: NK
authors.lastname: Logothetis
mesh_terms: D001921:Brain / Q000098:blood supply* / Q000166:cytology*; D001931:Brain Mapping; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging; D009415:Nerve Net / Q000502:physiology*; D009434:Neural Pathways / Q000098:blood supply / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D010100:Oxygen / Q000097:blood
chemical_list: D010100:Oxygen