Add to ORKGToday, the human brain can be studied as a whole. Electroencephalography, magnetoen-cephalography, or functional magnetic resonance imaging (fMRI) techniques provide functional connectivity patterns between different brain ar-eas, and during different pathological and cog-nitive neuro-dynamical states. In this Tutorial we review novel complex networks approaches to unveil how brain networks can efficiently man-age local processing and global integration for the transfer of information, while being at the same time capable of adapting to satisfy chang-ing neural demands.
The goal of this paper is to examine existing methods to study the "Human Brain Connectome" with a s...
The brain is characterized by ultra-high structural complexity and massive connectivity, both of whi...
MEG and fMRI offer complementary insights into connected human brain function. Evidence from the use...
Today, the human brain can be studied as a whole. Electroencephalography, magnetoencephalog-raphy, o...
Since the discovery of small-world and scale-free networks the study of complex systems from a netwo...
Neuroengineering is faced with unique challenges in repairing or replacing complex neural systems th...
Considering the brain as a complex network of interacting dynamical systems offers new insights into...
It is well known that most brain disorders are complex diseases, such as Alzheimer’s disease (AD) an...
Recent advances in non-invasive neuroimaging have enabled the measurement of connections between dis...
Many physical and biological systems can be studied using complex network theory, a new statistical ...
An important aspect of neuroscience is to characterize the underlying connectivity patterns of the h...
Complexity science is the study of systems that give rise to a priori unexpected macroscopic pattern...
Brain function is a somewhat complex issue. However, based on the theory of the network system that ...
<p><i>(A)</i> Temporal Networks of the Human Brain. We parcellate the brain into anatomical regions ...
The human brain is one of the most complex and fascinating systems in nature. In the last decades, ...
The goal of this paper is to examine existing methods to study the "Human Brain Connectome" with a s...
The brain is characterized by ultra-high structural complexity and massive connectivity, both of whi...
MEG and fMRI offer complementary insights into connected human brain function. Evidence from the use...
Today, the human brain can be studied as a whole. Electroencephalography, magnetoencephalog-raphy, o...
Since the discovery of small-world and scale-free networks the study of complex systems from a netwo...
Neuroengineering is faced with unique challenges in repairing or replacing complex neural systems th...
Considering the brain as a complex network of interacting dynamical systems offers new insights into...
It is well known that most brain disorders are complex diseases, such as Alzheimer’s disease (AD) an...
Recent advances in non-invasive neuroimaging have enabled the measurement of connections between dis...
Many physical and biological systems can be studied using complex network theory, a new statistical ...
An important aspect of neuroscience is to characterize the underlying connectivity patterns of the h...
Complexity science is the study of systems that give rise to a priori unexpected macroscopic pattern...
Brain function is a somewhat complex issue. However, based on the theory of the network system that ...
<p><i>(A)</i> Temporal Networks of the Human Brain. We parcellate the brain into anatomical regions ...
The human brain is one of the most complex and fascinating systems in nature. In the last decades, ...
The goal of this paper is to examine existing methods to study the "Human Brain Connectome" with a s...
The brain is characterized by ultra-high structural complexity and massive connectivity, both of whi...
MEG and fMRI offer complementary insights into connected human brain function. Evidence from the use...