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 …

Biophysical neurons, energy, and synapse controllability: a review

J Ma - Journal of Zhejiang University-Science A, 2023 - Springer
Diffusive intracellular and extracellular ions induce a gradient electromagnetic field that
regulates membrane potential, and energy injection from external stimuli breaks the energy …

Network science of biological systems at different scales: A review

M Gosak, R Markovič, J Dolenšek, MS Rupnik… - Physics of life …, 2018 - Elsevier
Network science is today established as a backbone for description of structure and function
of various physical, chemical, biological, technological, and social systems. Here we review …

[HTML][HTML] Multi-scale brain networks

RF Betzel, DS Bassett - Neuroimage, 2017 - Elsevier
The network architecture of the human brain has become a feature of increasing interest to
the neuroscientific community, largely because of its potential to illuminate human cognition …

Task-based dynamic functional connectivity: Recent findings and open questions

J Gonzalez-Castillo, PA Bandettini - Neuroimage, 2018 - Elsevier
The temporal evolution of functional connectivity (FC) within the confines of individual scans
is nowadays often explored with functional neuroimaging. This is particularly true for resting …

Principles of dynamic network reconfiguration across diverse brain states

JM Shine, RA Poldrack - NeuroImage, 2018 - Elsevier
Recent methodological advances have enabled researchers to track the network structure of
the human brain over time. Together, these studies provide novel insights into effective brain …

From maps to multi-dimensional network mechanisms of mental disorders

U Braun, A Schaefer, RF Betzel, H Tost… - Neuron, 2018 - cell.com
The development of advanced neuroimaging techniques and their deployment in large
cohorts has enabled an assessment of functional and structural brain network architecture at …

Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function

JO Garcia, A Ashourvan, S Muldoon… - Proceedings of the …, 2018 - ieeexplore.ieee.org
The human brain can be represented as a graph in which neural units such as cells or small
volumes of tissue are heterogeneously connected to one another through structural or …

Multilayer brain networks

M Vaiana, SF Muldoon - Journal of Nonlinear Science, 2020 - Springer
The field of neuroscience is facing an unprecedented expanse in the volume and diversity of
available data. Traditionally, network models have provided key insights into the structure …

[HTML][HTML] Modeling and interpreting mesoscale network dynamics

AN Khambhati, AE Sizemore, RF Betzel, DS Bassett - NeuroImage, 2018 - Elsevier
Recent advances in brain imaging techniques, measurement approaches, and storage
capacities have provided an unprecedented supply of high temporal resolution neural data …