Brain network communication: concepts, models and applications

C Seguin, O Sporns, A Zalesky - Nature reviews neuroscience, 2023 - nature.com
Understanding communication and information processing in nervous systems is a central
goal of neuroscience. Over the past two decades, advances in connectomics and network …

The human connectome in Alzheimer disease—relationship to biomarkers and genetics

M Yu, O Sporns, AJ Saykin - Nature Reviews Neurology, 2021 - nature.com
The pathology of Alzheimer disease (AD) damages structural and functional brain networks,
resulting in cognitive impairment. The results of recent connectomics studies have now …

EEG-based emotion recognition using regularized graph neural networks

P Zhong, D Wang, C Miao - IEEE Transactions on Affective …, 2020 - ieeexplore.ieee.org
Electroencephalography (EEG) measures the neuronal activities in different brain regions
via electrodes. Many existing studies on EEG-based emotion recognition do not fully exploit …

Application of graph theory for identifying connectivity patterns in human brain networks: a systematic review

FV Farahani, W Karwowski, NR Lighthall - frontiers in Neuroscience, 2019 - frontiersin.org
Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

Topographic organization of the human subcortex unveiled with functional connectivity gradients

Y Tian, DS Margulies, M Breakspear, A Zalesky - Nature neuroscience, 2020 - nature.com
Brain atlases are fundamental to understanding the topographic organization of the human
brain, yet many contemporary human atlases cover only the cerebral cortex, leaving the …

Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI

A Schaefer, R Kong, EM Gordon, TO Laumann… - Cerebral …, 2018 - academic.oup.com
A central goal in systems neuroscience is the parcellation of the cerebral cortex into discrete
neurobiological “atoms”. Resting-state functional magnetic resonance imaging (rs-fMRI) …

Graph theory methods: applications in brain networks

O Sporns - Dialogues in clinical neuroscience, 2018 - Taylor & Francis
Network neuroscience is a thriving and rapidly expanding field. Empirical data on brain
networks, from molecular to behavioral scales, are ever increasing in size and complexity …

[HTML][HTML] Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review

F Zhang, A Daducci, Y He, S Schiavi, C Seguin… - Neuroimage, 2022 - Elsevier
Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging
technique that enables in vivo reconstruction of the brain's white matter connections at …

Network neuroscience

DS Bassett, O Sporns - Nature neuroscience, 2017 - nature.com
Despite substantial recent progress, our understanding of the principles and mechanisms
underlying complex brain function and cognition remains incomplete. Network neuroscience …

Graph structure of neural networks

J You, J Leskovec, K He, S Xie - International Conference on …, 2020 - proceedings.mlr.press
Neural networks are often represented as graphs of connections between neurons.
However, despite their wide use, there is currently little understanding of the relationship …