Network Connectivity
Network Connectivity - Related Videos
12:09
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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Cited by 35 •
2014
The Default Mode Network (DMN) in Temporal Lobe Epilepsy (TLE) is analyzed in the resting state of the brain using seed-based functional connectivity MRI (fcMRI).
10:43
Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
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Cited by 12 •
2014
This protocol describes the complementary neuroimaging techniques of resting state structural connectivity, task-induced deactivation, and structural connectivity analyses to examine the default network in post-traumatic stress disorder. The use of synergistic methods could potentially lead to improved diagnostics and assessments of severity, outcome, and other relevant clinical factors.
10:32
Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
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Cited by 6 •
2015
This manuscript describes a protocol to grow in vitro modular networks consisting of spatially confined, functionally inter-connected neuronal circuits. A polymeric mask is used to pattern a protein layer to promote cellular adhesion over the culturing substrate. Plated neurons grow on coated areas establishing spontaneous connections and exhibiting electrophysiological activity.
09:01
A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Cited by 1 •
2014
This video presents a method of examining age-related changes in functional connectivity of cognitive control networks engaged by targeted tasks/processes. The technique is based on multi-variate analysis of fMRI data.
02:26
Protein Networks
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2020
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions. These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
FAQs
Connections among habitats and ecological communities allow organisms to disperse, populations to exchange genes, and nutrients to cycle through environmental systems. These pathways also help maintain ecosystem resilience by linking areas that may otherwise function in isolation. Assessing connectivity therefore reveals how spatial relationships contribute to ecological functioning, not merely whether two locations are physically adjacent.
These features can interrupt pathways that organisms, matter, energy, or information use to move through a system. The resulting isolation may reduce exchanges among populations or communities and disrupt processes such as gene flow and nutrient cycling. Because individual links can connect otherwise separate areas, their loss may create consequences extending beyond the immediately altered site.
A link becomes important when it supports exchanges among habitats, populations, waterways, or ecological communities that would otherwise be separated. Losing such a connection can isolate areas and weaken the processes that sustain resilience. Network analysis helps identify vulnerable links, allowing researchers to distinguish locations whose condition may strongly influence the functioning of the wider environmental system.
Researchers combine spatial maps, movement data, and network analysis to examine how environmental elements are connected. Maps show the arrangement of habitats, waterways, or other relevant nodes, while movement data indicate whether organisms, matter, energy, or information can pass among them. Network analysis then helps identify corridors, isolated areas, and links that may be vulnerable.
Spatial maps provide the geographic framework for locating habitats, waterways, populations, and other connected elements. Movement data add evidence about exchanges across that framework, such as dispersal or the movement of matter, energy, organisms, or information. Used together, these sources help researchers assess actual or potential pathways rather than relying only on location or visual proximity.
The approach is useful when planners need to identify corridors, isolated areas, or vulnerable links before selecting conservation or restoration actions. It can guide landscape management by showing where connections support ecological processes and where barriers interrupt them. This makes connectivity information relevant to prioritizing areas for protection, restoring disrupted pathways, and evaluating management options.
Researchers can use connectivity assessments to examine how environmental change may alter pathways among habitats, populations, waterways, and communities. Comparing spatial relationships and movement information can reveal newly isolated areas, disrupted corridors, or vulnerable links. These results help evaluate possible effects on dispersal, gene flow, nutrient cycling, and ecosystem function during conservation planning or restoration.