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2015 ; 27
(8
): 1471-91
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Cognitive network neuroscience
#MMPMID25803596
Medaglia JD
; Lynall ME
; Bassett DS
J Cogn Neurosci
2015[Aug]; 27
(8
): 1471-91
PMID25803596
show ga
Network science provides theoretical, computational, and empirical tools that can
be used to understand the structure and function of the human brain in novel ways
using simple concepts and mathematical representations. Network neuroscience is a
rapidly growing field that is providing considerable insight into human
structural connectivity, functional connectivity while at rest, changes in
functional networks over time (dynamics), and how these properties differ in
clinical populations. In addition, a number of studies have begun to quantify
network characteristics in a variety of cognitive processes and provide a context
for understanding cognition from a network perspective. In this review, we
outline the contributions of network science to cognitive neuroscience. We
describe the methodology of network science as applied to the particular case of
neuroimaging data and review its uses in investigating a range of cognitive
functions including sensory processing, language, emotion, attention, cognitive
control, learning, and memory. In conclusion, we discuss current frontiers and
the specific challenges that must be overcome to integrate these complementary
disciplines of network science and cognitive neuroscience. Increased
communication between cognitive neuroscientists and network scientists could lead
to significant discoveries under an emerging scientific intersection known as
cognitive network neuroscience.
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