Skip to content

Topic: Resting state

Seminar
3 seminars
Seminar · Brain Imaging

Brain dynamics and flexible behaviors

Lucina Uddin · Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles

Wed, Mar 16, 2022 · 15:00 UTC

Executive control processes and flexible behaviors rely on the integrity of, and dynamic interactions between, large-scale functional brain networks. The right insular cortex is a critical component of a salience/midcingulo-insular network that is thought to mediate interactions between brain networks involved in externally oriented (central executive/lateral frontoparietal network) and internally oriented (default mode/medial frontoparietal network) processes. How these brain systems reconfigure with development is a critical question for cognitive neuroscience, with implications for neurodev

Seminar · Brain Imaging

Generative models of brain function: Inference, networks, and mechanisms

Adeel Razi · Monash University

Fri, Nov 26, 2021 · 22:00 UTC

This talk will focus on the generative modelling of resting state time series or endogenous neuronal activity. I will survey developments in modelling distributed neuronal fluctuations – spectral dynamic causal modelling (DCM) for functional MRI – and how this modelling rests upon functional connectivity. The dynamics of brain connectivity has recently attracted a lot of attention among brain mappers. I will also show a novel method to identify dynamic effective connectivity using spectral DCM. Further, I will summarise the development of the next generation of DCMs towards large-scale, whole-

Thu, Jul 22, 2021 · 16:00 UTC

While time-averaged dynamics of brain functional connectivity are known to reflect the underlying structural connections, the exact relationship between large-scale function and structure remains an unsolved issue in network neuroscience. Large-scale networks are traditionally observed by correlation of fMRI timecourses, and connectivity of source-reconstructed electrophysiological measures are less prominent. Accessing the brain by using multimodal recordings combining EEG, fMRI and diffusion MRI (dMRI) can help to refine the understanding of the spatio-temporal organization of both static an

We use essential cookies to run the site. Optional analytics and public-page session replay help us improve World Wide. Learn more.