Questions and controversies in the study of time-varying functional connectivity in resting fMRI
The brain is a complex, multiscale dynamical system composed of many interacting regions.
Knowledge of the spatiotemporal organization of these interactions is critical for establishing …
Knowledge of the spatiotemporal organization of these interactions is critical for establishing …
Tools of the trade: estimating time-varying connectivity patterns from fMRI data
Given the dynamic nature of the brain, there has always been a motivation to move beyond
'static'functional connectivity, which characterizes functional interactions over an extended …
'static'functional connectivity, which characterizes functional interactions over an extended …
Human cognition involves the dynamic integration of neural activity and neuromodulatory systems
The human brain integrates diverse cognitive processes into a coherent whole, shifting
fluidly as a function of changing environmental demands. Despite recent progress, the …
fluidly as a function of changing environmental demands. Despite recent progress, the …
Fear extinction learning modulates large-scale brain connectivity
Exploring the neural circuits of the extinction of conditioned fear is critical to advance our
understanding of fear-and anxiety-related disorders. The field has focused on examining the …
understanding of fear-and anxiety-related disorders. The field has focused on examining the …
[HTML][HTML] Activation network improves spatiotemporal modelling of human brain communication processes
Dynamic functional networks (DFN) have considerably advanced modelling of the brain
communication processes. The prevailing implementation capitalizes on the system and …
communication processes. The prevailing implementation capitalizes on the system and …
[HTML][HTML] Using deep clustering to improve fMRI dynamic functional connectivity analysis
APC Spencer, M Goodfellow - Neuroimage, 2022 - Elsevier
Dynamic functional connectivity (dFC) analysis of resting-state fMRI data is commonly
performed by calculating sliding-window correlations (SWC), followed by k-means clustering …
performed by calculating sliding-window correlations (SWC), followed by k-means clustering …
The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task
Previous research has shown that the autonomic nervous system provides essential
constraints over ongoing cognitive function. However, there is currently a relative lack of …
constraints over ongoing cognitive function. However, there is currently a relative lack of …
[HTML][HTML] Brain network segregation and integration during an epoch-related working memory fMRI experiment
The characterization of brain subnetwork segregation and integration has previously
focused on changes that are detectable at the level of entire sessions or epochs of imaging …
focused on changes that are detectable at the level of entire sessions or epochs of imaging …
Brain Connectivity Studies on Structure‐Function Relationships: A Short Survey with an Emphasis on Machine Learning
This short survey reviews the recent literature on the relationship between the brain structure
and its functional dynamics. Imaging techniques such as diffusion tensor imaging (DTI) …
and its functional dynamics. Imaging techniques such as diffusion tensor imaging (DTI) …
High-level cognition during story listening is reflected in high-order dynamic correlations in neural activity patterns
LLW Owen, TH Chang, JR Manning - Nature Communications, 2021 - nature.com
Our thoughts arise from coordinated patterns of interactions between brain structures that
change with our ongoing experiences. High-order dynamic correlations in neural activity …
change with our ongoing experiences. High-order dynamic correlations in neural activity …