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Living on the edge: network neuroscience beyond nodes
Network neuroscience has emphasized the connectional properties of neural elements–
cells, populations, and regions. This has come at the expense of the anatomical and …
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
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 …
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
Blood‐level oxygenation‐dependent (BOLD) functional magnetic resonance imaging (fMRI)
is the most common modality to study functional connectivity in the human brain. Most …
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
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 …
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 …
Data-based predictions of individual Cognitive Behavioral Therapy (CBT) treatment
response are a fundamental step towards precision medicine. Past studies demonstrated …
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
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 …
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
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 …
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 …
(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 …
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
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 …
large-scale communities, or networks. This concept has recently been leveraged in novel …