Brain network
There are two major networks in a brain: the biological neural network and the Functional brain network. The former captures the structural connectivity and the latter captures the functional connectivity. A biological neural network is often referred to as a ‘Connectome‘ and the term “connectomics” refers to the scientific movement to map the entire network structure.
Is there a backbone structure in the brain and can we find it1?
Importance of long-range connections2.
Comparing structures of man-made circuits to brain networks3.
Topics
- Aging brain and Brain development
- Brain network embedding
- Artificial neural network
- Information flow in brain
- Controlling brain dynamics
- Efficiency of brain
- Functional magnetic resonance imaging
- Modular structure of brain
Tools
- Neuroimaging 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
- Santiago Ramón y Cajal
- MRC Laboratory of Molecular Biology
- Indiana University
- Brain mapping unit at University of Cambridge
Papers to read
- A New Measure of Centrality for Brain Networks
- Segregation and Wiring in the Brain
- 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
- A Graph Neural Network Framework for Causal Inference in Brain Networks
- science special issue
Network construction
- Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data
- I’m often asked what’s the “best” way of computing connectivity from time series. Here you go
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
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
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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. ↩
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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. ↩
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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. ↩