Robustness and resilience of complex networks

O Artime, M Grassia, M De Domenico… - Nature Reviews …, 2024 - nature.com
Complex networks are ubiquitous: a cell, the human brain, a group of people and the
Internet are all examples of interconnected many-body systems characterized by …

More is different in real-world multilayer networks

M De Domenico - Nature Physics, 2023 - nature.com
The constituents of many complex systems are characterized by non-trivial connectivity
patterns and dynamical processes that are well captured by network models. However, most …

Increased global integration in the brain after psilocybin therapy for depression

RE Daws, C Timmermann, B Giribaldi, JD Sexton… - Nature medicine, 2022 - nature.com
Psilocybin therapy shows antidepressant potential, but its therapeutic actions are not well
understood. We assessed the subacute impact of psilocybin on brain function in two clinical …

PLD3 affects axonal spheroids and network defects in Alzheimer's disease

P Yuan, M Zhang, L Tong, TM Morse, RA McDougal… - Nature, 2022 - nature.com
The precise mechanisms that lead to cognitive decline in Alzheimer's disease are unknown.
Here we identify amyloid-plaque-associated axonal spheroids as prominent contributors to …

Superglue: Learning feature matching with graph neural networks

PE Sarlin, D DeTone, T Malisiewicz… - Proceedings of the …, 2020 - openaccess.thecvf.com
This paper introduces SuperGlue, a neural network that matches two sets of local features
by jointly finding correspondences and rejecting non-matchable points. Assignments are …

Towards a biologically annotated brain connectome

V Bazinet, JY Hansen, B Misic - Nature reviews neuroscience, 2023 - nature.com
The brain is a network of interleaved neural circuits. In modern connectomics, brain
connectivity is typically encoded as a network of nodes and edges, abstracting away the rich …

Discovery of senolytics using machine learning

V Smer-Barreto, A Quintanilla, RJR Elliott… - Nature …, 2023 - nature.com
Cellular senescence is a stress response involved in ageing and diverse disease processes
including cancer, type-2 diabetes, osteoarthritis and viral infection. Despite growing interest …

From networks to optimal higher-order models of complex systems

R Lambiotte, M Rosvall, I Scholtes - Nature physics, 2019 - nature.com
From networks to optimal higher-order models of complex systems | Nature Physics Skip to main
content Thank you for visiting nature.com. You are using a browser version with limited support …

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 …

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 …