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 …

Subcortical volumetric alterations in four major psychiatric disorders: a mega-analysis study of 5604 subjects and a volumetric data-driven approach for classification

N Okada, M Fukunaga, K Miura, K Nemoto… - Molecular …, 2023 - nature.com
Differential diagnosis is sometimes difficult in practical psychiatric settings, in terms of using
the current diagnostic system based on presenting symptoms and signs. The creation of a …

Higher‐order functional connectivity analysis of resting‐state functional magnetic resonance imaging data using multivariate cumulants

R Hindriks, TAA Broeders… - Human brain …, 2024 - Wiley Online Library
Blood‐level oxygenation‐dependent (BOLD) functional magnetic resonance imaging (fMRI)
is the most common modality to study functional connectivity in the human brain. Most …

[HTML][HTML] Network communication models narrow the gap between the modular organization of structural and functional brain networks

C Seguin, O Sporns, A Zalesky, F Calamante - NeuroImage, 2022 - Elsevier
Structural and functional brain networks are modular. Canonical functional systems, such as
the default mode network, are well-known modules of the human brain and have been …

[HTML][HTML] Lack of evidence for predictive utility from resting state fMRI data for individual exposure-based cognitive behavioral therapy outcomes: A machine learning …

K Hilbert, J Böhnlein, C Meinke, AV Chavanne… - NeuroImage, 2024 - Elsevier
Data-based predictions of individual Cognitive Behavioral Therapy (CBT) treatment
response are a fundamental step towards precision medicine. Past studies demonstrated …

Modular subgraphs in large-scale connectomes underpin spontaneous co-fluctuation events in mouse and human brains

E Ragone, J Tanner, Y Jo, F Zamani Esfahlani… - Communications …, 2024 - nature.com
Previous studies have adopted an edge-centric framework to study fine-scale network
dynamics in human fMRI. To date, however, no studies have applied this framework to data …

[HTML][HTML] Edge-centric analysis of stroke patients: An alternative approach for biomarkers of lesion recovery

S Idesis, J Faskowitz, RF Betzel, M Corbetta… - NeuroImage: Clinical, 2022 - Elsevier
Most neuroimaging studies of post-stroke recovery rely on analyses derived from standard
node-centric functional connectivity to map the distributed effects in stroke patients. Here …

[HTML][HTML] Subcortical influences on the topology of cortical networks align with functional processing hierarchies

F Hirsch, A Wohlschlaeger - Neuroimage, 2023 - Elsevier
Abstract fMRI of the human brain reveals spatiotemporal patterns of functional connectivity
(FC), forming distinct cortical networks. Lately, subcortical contributions to these …

Abnormal Thalamo–Cortical Interactions in Overlap** Communities of Migraine: An Edge Functional Connectivity Study

W Dai, E Qiu, X Lin, S Zhang, M Zhang… - Annals of …, 2023 - Wiley Online Library
Objective Migraine has been demonstrated to exhibit abnormal functional connectivity of
large‐scale brain networks, which is closely associated with its pathophysiology and has not …

[HTML][HTML] Leveraging edge-centric networks complements existing network-level inference for functional connectomes

RX Rodriguez, S Noble, L Tejavibulya, D Scheinost - NeuroImage, 2022 - Elsevier
The human connectome is modular with distinct brain regions clustering together to form
large-scale communities, or networks. This concept has recently been leveraged in novel …