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2017 ; 20
(3
): 353-364
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Network neuroscience
#MMPMID28230844
Bassett DS
; Sporns O
Nat Neurosci
2017[Feb]; 20
(3
): 353-364
PMID28230844
show ga
Despite substantial recent progress, our understanding of the principles and
mechanisms underlying complex brain function and cognition remains incomplete.
Network neuroscience proposes to tackle these enduring challenges. Approaching
brain structure and function from an explicitly integrative perspective, network
neuroscience pursues new ways to map, record, analyze and model the elements and
interactions of neurobiological systems. Two parallel trends drive the approach:
the availability of new empirical tools to create comprehensive maps and record
dynamic patterns among molecules, neurons, brain areas and social systems; and
the theoretical framework and computational tools of modern network science. The
convergence of empirical and computational advances opens new frontiers of
scientific inquiry, including network dynamics, manipulation and control of brain
networks, and integration of network processes across spatiotemporal domains. We
review emerging trends in network neuroscience and attempt to chart a path toward
a better understanding of the brain as a multiscale networked system.
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