Network Neuroscience

Here are some resources I found interesting and useful while learning about network neuroscience. 

Introduction to the field

Highly recommend this book for anyone getting started: Fundamentals of Brain Network Analysis, introduces and explains techniques for modeling brain networks as graphs, also covers measures for quantifying their topological and spatial organization.

OHBM on-demand how-to: network neuroscience – a course presents the fundamental concepts, and the slide.

A Tutorial in Connectome Analysis: Topological and Spatial Features of Brain Networks.

A protocol for working with open-source neuroimaging datasets

Also our review paper ‘Beyond nodes and edges: a bibliometric analysis on graph theory and neuroimaging modalities’, offers some insights into the intricate dynamics of brain network research.

In our review, we listed the top ten most cited references:

Complex network measures of brain connectivity: uses and interpretations. Neuroimage. 2010.
Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 2009.
Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage. 2012.
BrainNet Viewer: a network visualization tool for human brain connectomics. PLoS One. 2013.
GRETNA: a graph theoretical network analysis toolbox for imaging connectomics. Front Hum Neurosci. 2015.
The economy of brain network organization. Nat Rev Neurosci. 2012.
Mapping the structural core of human cerebral cortex. PLoS Biol. 2008.
Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer’s disease. J Neurosci. 2009.
Network hubs in the human brain. Trends Cogn Sci. 2013.
The influence of head motion on intrinsic functional connectivity MRI. Neuroimage. 2012.

Brain parcellations

Brain parcellation survey – a systematic comparison of parcellation methods for the human cerebral cortex.

Schaefer2018 – local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI.


Nilearndecoding data, computing parcellations, analyzing, also beautiful brain visualization.

Network Repository – A graph and network repository containing large real-world networks and benchmark datasets.