Edges in brain networks: Contributions to models of structure and function
Network models describe the brain as sets of nodes and edges that represent its distributed
organization. So far, most discoveries in network neuroscience have prioritized insights that …
organization. So far, most discoveries in network neuroscience have prioritized insights that …
[HTML][HTML] Inference in the age of big data: Future perspectives on neuroscience
Neuroscience is undergoing faster changes than ever before. Over 100 years our field
qualitatively described and invasively manipulated single or few organisms to gain …
qualitatively described and invasively manipulated single or few organisms to gain …
Topographic organization of the cerebral cortex and brain cartography
One of the most specific but also challenging properties of the brain is its topographic
organization into distinct modules or cortical areas. In this paper, we first review the concept …
organization into distinct modules or cortical areas. In this paper, we first review the concept …
Weighted stochastic block models of the human connectome across the life span
The human brain can be described as a complex network of anatomical connections
between distinct areas, referred to as the human connectome. Fundamental characteristics …
between distinct areas, referred to as the human connectome. Fundamental characteristics …
[HTML][HTML] Modularity maximization as a flexible and generic framework for brain network exploratory analysis
The modular structure of brain networks supports specialized information processing,
complex dynamics, and cost-efficient spatial embedding. Inter-individual variation in …
complex dynamics, and cost-efficient spatial embedding. Inter-individual variation in …
Machine learning on human connectome data from MRI
CJ Brown, G Hamarneh - arXiv preprint arXiv:1611.08699, 2016 - arxiv.org
Functional MRI (fMRI) and diffusion MRI (dMRI) are non-invasive imaging modalities that
allow in-vivo analysis of a patient's brain network (known as a connectome). Use of these …
allow in-vivo analysis of a patient's brain network (known as a connectome). Use of these …
Network neuroscience and the connectomics revolution
RF Betzel - Connectomic deep brain stimulation, 2022 - Elsevier
Connectomics and network neuroscience offer quantitative scientific frameworks for
modeling and analyzing networks of structurally and functionally interacting neurons …
modeling and analyzing networks of structurally and functionally interacting neurons …
Community detection in network neuroscience
RF Betzel - Connectome Analysis, 2023 - Elsevier
Many real-world networks, including nervous systems, exhibit meso-scale structure. This
means that their elements can be grouped into meaningful subnetworks. In general, these …
means that their elements can be grouped into meaningful subnetworks. In general, these …
Circuit analysis of the Drosophila brain using connectivity-based neuronal classification reveals organization of key communication pathways
We present a functionally relevant, quantitative characterization of the neural circuitry of
Drosophila melanogaster at the mesoscopic level of neuron types as classified exclusively …
Drosophila melanogaster at the mesoscopic level of neuron types as classified exclusively …
[HTML][HTML] Multi-subject stochastic blockmodels for adaptive analysis of individual differences in human brain network cluster structure
There is considerable interest in elucidating the cluster structure of brain networks in terms
of modules, blocks or clusters of similar nodes. However, it is currently challenging to handle …
of modules, blocks or clusters of similar nodes. However, it is currently challenging to handle …