Computational models link cellular mechanisms of neuromodulation to large-scale neural dynamics

JM Shine, EJ Müller, B Munn, J Cabral, RJ Moran… - Nature …, 2021‏ - nature.com
Decades of neurobiological research have disclosed the diverse manners in which the
response properties of neurons are dynamically modulated to support adaptive cognitive …

Dynamic models of large-scale brain activity

M Breakspear - Nature neuroscience, 2017‏ - nature.com
Movement, cognition and perception arise from the collective activity of neurons within
cortical circuits and across large-scale systems of the brain. While the causes of single …

[HTML][HTML] Geometric constraints on human brain function

JC Pang, KM Aquino, M Oldehinkel, PA Robinson… - Nature, 2023‏ - nature.com
The anatomy of the brain necessarily constrains its function, but precisely how remains
unclear. The classical and dominant paradigm in neuroscience is that neuronal dynamics …

Systematic evaluation of fMRI data-processing pipelines for consistent functional connectomics

AI Luppi, HM Gellersen, ZQ Liu, ARD Peattie… - Nature …, 2024‏ - nature.com
Functional interactions between brain regions can be viewed as a network, enabling
neuroscientists to investigate brain function through network science. Here, we …

Interacting spiral wave patterns underlie complex brain dynamics and are related to cognitive processing

Y Xu, X Long, J Feng, P Gong - Nature human behaviour, 2023‏ - nature.com
The large-scale activity of the human brain exhibits rich and complex patterns, but the
spatiotemporal dynamics of these patterns and their functional roles in cognition remain …

Decoupling of brain function from structure reveals regional behavioral specialization in humans

MG Preti, D Van De Ville - Nature communications, 2019‏ - nature.com
The brain is an assembly of neuronal populations interconnected by structural pathways.
Brain activity is expressed on and constrained by this substrate. Therefore, statistical …

Phantom oscillations in principal component analysis

M Shinn - Proceedings of the National Academy of Sciences, 2023‏ - pnas.org
Principal component analysis (PCA) is a dimensionality reduction method that is known for
being simple and easy to interpret. Principal components are often interpreted as low …

Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms

J Cabral, ML Kringelbach, G Deco - NeuroImage, 2017‏ - Elsevier
Over the last decade, we have observed a revolution in brain structural and functional
Connectomics. On one hand, we have an ever-more detailed characterization of the brain's …

A graph signal processing perspective on functional brain imaging

W Huang, TAW Bolton, JD Medaglia… - Proceedings of the …, 2018‏ - ieeexplore.ieee.org
Modern neuroimaging techniques provide us with unique views on brain structure and
function; ie, how the brain is wired, and where and when activity takes place. Data acquired …

A network control theory pipeline for studying the dynamics of the structural connectome

L Parkes, JZ Kim, J Stiso, JK Brynildsen, M Cieslak… - Nature protocols, 2024‏ - nature.com
Network control theory (NCT) is a simple and powerful tool for studying how network
topology informs and constrains the dynamics of a system. Compared to other structure …