There are two major networks in a brain: biological neural network and functional brain network. The former captures the structural connectivity and the latter captures the functional connectivity. Biological neural network is often referred as a 'connectome' and the term "connectomics" refers the scientific movement to map the entire network structure.

Is there a backbone structure in brain and can we find it^1?

Importance of long-range connections[^2].

Comparing structures of man-made circuits to brain networks[^3].

Topics #

• Aging brain and Brain development
• Artificial neural network
• Controlling brain dynamics
• Efficiency of brain
• Functional magnetic resonance imaging
• Modular structure of brain

Tools #

• Neuroimaging in python

  • Diffusion Imaging in Python

• The Brian spiking neural network simulator

• https://github.com/jeffduda/StructConnRepro - Reproducibility of graph metrics of human brain structural networks

Review papers #

• Complex brain networks: graph theoretical analysis of structural and functional systems
• The atoms of neural computation
• Brain network analysis: a practical tutorial by Danielle Bassett
• On the nature and use of models in network neuroscience

People & Organizations #

• Dmitri B. Chklovskii
• Santiago Ramón y Cajal

• MRC Laboratory of Molecular Biology

  • Gregory Jefferis

• Indiana University

  • Olaf Sporns

• Brain mapping unit at University of Cambridge

  • Ed Bullmore

Papers to read #

• A New Measure of Centrality for Brain Networks

• Segregation and Wiring in the Brain

  • The Geometric Structure of the Brain Fiber Pathways
  • Hierarchical Genetic Organization of Human Cortical Surface Area

• Simple models of human brain functional networks

• Rich Club Organization of Macaque Cerebral Cortex and Its Role in Network Communication
• Multi-task connectivity reveals flexible hubs for adaptive task control
• An approach for parcellating human cortical areas using resting-state correlations - A data-driven parcellation
• Global tractography with embedded anatomical priors for quantitative connectivity analysis
• Mapping multiplex hubs in human functional brain network

Network construction #

• Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data

Generative models #

• http://www.sciencedirect.com/science/article/pii/S0925231207001488
• http://www.sciencedirect.com/science/article/pii/S037015731000308X
• http://www.sciencedirect.com/science/article/pii/S0925231204000554
• http://pre.aps.org/abstract/PRE/v69/i3/e036103

Articles #

• Why are scientists trying to map every single neuron in the brain?

References #

• Contributions and challenges for network models in cognitive neuroscience
• Ongoing dynamics in large-scale functional connectivity predict perception
• Topological analysis of the connectome of digital reconstructions of neural microcircuits

^1: van den Heuvel, M. P.; Kahn, R. S.; Goni, J.; Sporns, O. (2012). "High-cost, high-capacity backbone for global brain communication". Proceedings of the National Academy of Sciences. doi:10.1073/pnas.1203593109. ISSN 0027-8424.

[^2]: Markov, N. T.; Ercsey-Ravasz, M.; Lamy, C.; Ribeiro Gomes, A. R.; Magrou, L.; Misery, P.; Giroud, P.; Barone, P. et al. (2013). "The role of long-range connections on the specificity of the macaque interareal cortical network". Proceedings of the National Academy of Sciences. doi:10.1073/pnas.1218972110. ISSN 0027-8424.

[^3]: Friston, Karl J.; Bassett, Danielle S.; Greenfield, Daniel L.; Meyer-Lindenberg, Andreas; Weinberger, Daniel R.; Moore, Simon W.; Bullmore, Edward T. (2010). "Efficient Physical Embedding of Topologically Complex Information Processing Networks in Brains and Computer Circuits". PLoS Computational Biology 6 (4): e1000748. doi:10.1371/journal.pcbi.1000748. ISSN 1553-7358.

Incoming Links #

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