Questions and controversies in the study of time-varying functional connectivity in resting fMRI

DJ Lurie, D Kessler, DS Bassett, RF Betzel… - Network …, 2020 - direct.mit.edu
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 …

Tools of the trade: estimating time-varying connectivity patterns from fMRI data

A Iraji, A Faghiri, N Lewis, Z Fu… - Social cognitive and …, 2021 - academic.oup.com
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 …

Human cognition involves the dynamic integration of neural activity and neuromodulatory systems

JM Shine, M Breakspear, PT Bell… - Nature …, 2019 - nature.com
The human brain integrates diverse cognitive processes into a coherent whole, shifting
fluidly as a function of changing environmental demands. Despite recent progress, the …

Fear extinction learning modulates large-scale brain connectivity

Z Wen, ZS Chen, MR Milad - Neuroimage, 2021 - Elsevier
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 …

[HTML][HTML] Activation network improves spatiotemporal modelling of human brain communication processes

X Liu, Z Wang, S Liu, L Gong, PAV Sosa, B Becker… - Neuroimage, 2024 - Elsevier
Dynamic functional networks (DFN) have considerably advanced modelling of the brain
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 …

The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task

G Wainstein, D Rojas-Líbano, V Medel… - Network …, 2021 - direct.mit.edu
Previous research has shown that the autonomic nervous system provides essential
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

P Fransson, BC Schiffler, WH Thompson - Neuroimage, 2018 - Elsevier
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 …

Brain Connectivity Studies on Structure‐Function Relationships: A Short Survey with an Emphasis on Machine Learning

S Wein, G Deco, AM Tomé… - Computational …, 2021 - Wiley Online Library
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) …

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 …