Network neuroscience is an approach to understanding the structure and function of the human brain through an approach of network science, through the paradigm of Graph Theory. A network is a connection of many brain regions that interact with each other to give rise to a particular function.
Network Neuroscience is a broad field that studies the brain in an integrative way by recording, analyzing, and mapping the brain in various ways. The field studies the brain at multiple scales of analysis to ultimately explain brain systems, behavior, and dysfunction of behavior in psychiatric and neurological diseases.
Network neuroscience provides an important theoretical base for understanding neurobiological systems at multiple scales of analysis.
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Network neuroscience is a field of research that seeks to understand the brain as a complex network of interconnected neural elements, such as neurons and brain regions, and to investigate the relationship between brain structure and function. The field draws upon techniques from neuroscience, physics, mathematics, computer science, and engineering to analyze the complex patterns of neural activity that underlie brain function and behavior. Network neuroscience approaches the brain as a complex system, where the properties of the system as a whole arise from the interactions between its many parts. The field uses a range of tools to study brain networks, including neuroimaging techniques such as fMRI and EEG, Graph Theory, and computational modeling. By analyzing brain networks, network neuroscientists seek to gain insights into how the brain processes information, how it generates behavior, and how it is affected by disease or injury. The ultimate goal of network neuroscience is to develop a comprehensive understanding of the brain and to use this knowledge to develop new treatments for neurological and psychiatric disorders.
Network neuroscience theory best predictor of intelligence
Historically, theories of intelligence focused on localized brain regions such as the prefrontal cortex, which plays a key role in cognitive processes such as planning, problem-solving and decision-making. More recent theories emphasize specific brain networks, while others examine how different networks overlap and interact with one another, Barbey said. He and Anderson tested these established theories against their own "network neuroscience theory," which posits that intelligence emerges from the global architecture of the brain, including both strong and weak connections.
"Strong connections involve highly connected hubs of information-processing that are established when we learn about the world and become adept at solving familiar problems," Anderson said. "Weak connections have fewer neural linkages but enable flexibility and adaptive problem-solving." Together, these connections "provide the network architecture that is necessary for solving the diverse problems we encounter in life." source 
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