Living on the edge: network neuroscience beyond nodes

RF Betzel, J Faskowitz, O Sporns - Trends in cognitive sciences, 2023 - cell.com
Network neuroscience has emphasized the connectional properties of neural elements–
cells, populations, and regions. This has come at the expense of the anatomical and …

[PDF][PDF] Controversies and progress on standardization of large-scale brain network nomenclature

LQ Uddin, RF Betzel, JR Cohen… - Network …, 2023 - direct.mit.edu
Progress in scientific disciplines is accompanied by standardization of terminology. Network
neuroscience, at the level of macroscale organization of the brain, is beginning to confront …

A spatiotemporal complexity architecture of human brain activity

S Krohn, N von Schwanenflug, L Waschke… - Science …, 2023 - science.org
The human brain operates in large-scale functional networks. These networks are an
expression of temporally correlated activity across brain regions, but how global network …

Dynamic network characteristics of adolescents with major depressive disorder: Attention network mediates the association between anhedonia and attentional deficit

Y Wen, H Li, Y Huang, D Qiao, T Ren, L Lei… - Human Brain …, 2023 - Wiley Online Library
Attention deficit is a critical symptom that impairs social functioning in adolescents with major
depressive disorder (MDD). In this study, we aimed to explore the dynamic neural network …

Low-frequency repetitive transcranial magnetic stimulation alters the individual functional dynamical landscape

L Fan, Y Li, ZG Huang, W Zhang, X Wu, T Liu… - Cerebral …, 2023 - academic.oup.com
Repetitive transcranial magnetic stimulation (rTMS) is a noninvasive approach to modulate
brain activity and behavior in humans. Still, how individual resting-state brain dynamics after …

Edge-centric analysis of time-varying functional brain networks with applications in autism spectrum disorder

FZ Esfahlani, L Byrge, J Tanner, O Sporns… - NeuroImage, 2022 - Elsevier
The interaction between brain regions changes over time, which can be characterized using
time-varying functional connectivity (tvFC). The common approach to estimate tvFC uses …

High-amplitude network co-fluctuations linked to variation in hormone concentrations over the menstrual cycle

S Greenwell, J Faskowitz, L Pritschet… - Network …, 2023 - direct.mit.edu
Many studies have shown that the human endocrine system modulates brain function,
reporting associations between fluctuations in hormone concentrations and brain …

[PDF][PDF] Hierarchical organization of spontaneous co-fluctuations in densely sampled individuals using fMRI

RF Betzel, SA Cutts, J Tanner, SA Greenwell… - Network …, 2023 - direct.mit.edu
Edge time series decompose functional connectivity into its framewise contributions.
Previous studies have focused on characterizing the properties of high-amplitude frames …

Static and dynamic fMRI-derived functional connectomes represent largely similar information

A Matkovič, A Anticevic, JD Murray… - Network Neuroscience, 2023 - direct.mit.edu
Functional connectivity (FC) of blood oxygen level-dependent (BOLD) fMRI time series can
be estimated using methods that differ in sensitivity to the temporal order of time points …

An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention …

J Courson, M Quoy, Y Timofeeva… - Frontiers in Computational …, 2024 - frontiersin.org
Mean-field models have been developed to replicate key features of epileptic seizure
dynamics. However, the precise mechanisms and the role of the brain area responsible for …