What is graph theory brain?

What is graph theory brain?

According to graph theory, structural brain networks can be described as graphs that are composed of nodes (vertices) denoting neural elements (neurons or brain regions) that are linked by edges representing physical connections (synapses or axonal projections).

What is graph theory fMRI?

A brain network, in graph theoretical analyses of fMRI data, is taken into account as an undirected graph, G=(V, E), where a node/vertex (V) in the graph delineates a brain region (i.e. ROI) and an edge/link (E) between two nodes is indicative of brain regions being functionally connected (Deuker et al., 2009).

What is graph theory in neuroscience?

Graph theory is the study of graphs, mathematical structures that model the relationships between objects. In neuroscience, we often use graph theory as a tool to study how different parts of the brains (nodes) are functionally connected to each other.

What is functional connectivity EEG?

A variety of psychiatric, behavioral and cognitive phenotypes have been linked to brain ”functional connectivity” — the pattern of correlation observed between different brain regions. The actual spatial patterns of functional connectivity are quite different between fMRI and source-space EEG.

What is the purpose of graph theory?

Graph Theory is ultimately the study of relationships. Given a set of nodes & connections, which can abstract anything from city layouts to computer data, graph theory provides a helpful tool to quantify & simplify the many moving parts of dynamic systems.

What is the use graph theory?

Graphs are used to define the flow of computation. Graph theory is used to find shortest path in road or a network. In Google Maps, various locations are represented as vertices or nodes and the roads are represented as edges and graph theory is used to find the shortest path between two nodes.

What is a brain connection?

The links between neurons are called synapses. What exactly is a synapse, and what happens there? It’s basically a connection: one cell talking to another. A brain cell, or a neuron, has a large main body, with small strands sticking out. So one neuron, the transmitter, uses a really thin strand called an axon.

What is brain and its function?

The brain is a complex organ that controls thought, memory, emotion, touch, motor skills, vision, breathing, temperature, hunger and every process that regulates our body. Together, the brain and spinal cord that extends from it make up the central nervous system, or CNS.

How is functional connectivity EEG measured?

Most commonly assessed using functional magnetic resonance imaging (fMRI), here, we investigate the connectivity-phenotype associations with functional connectivity measured with electroencephalography (EEG), using phase-coupling. We analyzed data from the publicly available Healthy Brain Network Biobank.

Which is graph theory software for Brain Analysis?

We have developed a freeware MatLab-based software (BRAPH–BRain Analysis using graPH theory) for connectivity analysis of brain networks derived from structural magnetic resonance imaging (MRI), functional MRI (fMRI), positron emission tomography (PET) and electroencephalogram (EEG) data.

How is functional connectivity measured in the brain?

In general, functional connectivity captures deviations from statistical independence between distributed and often spatially remote neuronal units. Statistical dependence may be estimated by measuring correlation or covariance, spectral coherence or phase-locking.

How is brain connectivity used in Biological Studies?

Brain connectivity may be studied and analyzed using a broad range of network analysis approaches, many of which are also applied in parallel efforts to map and describe other biological networks, e.g. those of cellular metabolism, gene regulation, or ecology.

How are neural codes constrained by brain connectivity?

Neural activity, and by extension neural codes, are constrained by connectivity. Brain connectivity is thus crucial to elucidating how neurons and neural networks process information.