The future of network neuroscience.

Published in: Network neuroscience (Cambridge, Mass.) (2017)

Understanding the brain represents one of the most profound and pressing scientific challenges of the 21st century. As brain data have increased in volume and complexity, the tools and methods of network science have become indispensable for mapping and modeling brain structure and function, for bridging scales of organization, and for integrating across empirical and computational methodologies. The creation of a new journal, Network Neuroscience, will contribute to guiding this emerging and interdisciplinary field in new directions.

Keyphrases

resting state
white matter
functional connectivity
public health
high resolution
intellectual disability
machine learning
current status
brain injury
network analysis
mass spectrometry
data analysis