Brian networks2010/02/06Brain Anatomical Network and Intelligence&Organization, development and function of complex brain ...
Outline<br />Introduction<br />Background<br />Graph theory<br />Complex networks<br />Examine principles (three aspects)<...
Introduction<br />Examines principles<br />Structural properties<br />Relationship between the structural substrate and dy...
Background – graph theory<br />Adjacency (connection) matrix<br />Characteristic path length<br />Clustering coefficient<b...
Background – complex networks<br />Random networks<br />Small-world networks<br />Scale-free networks<br />
Background – three aspects<br />Neuroanatomical substrate (structural connectivity)<br />Dynamics of neurons (functional c...
Background - structural<br />Network participation indices<br />In-degree, out-degree<br />transmission coefficient<br />B...
Background - structural<br />Graph theoretical analysis<br />High clustering, short path length<br />Functional proximity<...
Background - structural<br />
Background - structural<br />
Background - structural<br />
Background - structural<br />
Background – development<br />Local spatial growth rules<br />Preferential attachment<br />Global network design<br />
Background – clinical terms<br />Anatomical Automatic Labeling (AAL)<br />Magnetic resonance imaging (MRI)<br />Diffusion ...
Background - functional<br />There are some problems in the previous work<br />Only binary networks<br />Nonzero connectio...
Background - experiment<br />79 subjects (44 males and 35 females, mean age = 23.8 years, range = 17-33 years)<br />intell...
Background - experiment<br />
Background - experiment<br />
Background - experiment<br />
Background - experiment<br />
Background - experiment<br />
Background - experiment<br />
Background - experiment<br />
Background - experiment<br />
Future work<br />
Future work<br />From the computer science perspective<br />How about the social network?<br />Other internet overlaid net...
Reference<br />Li Y, Liu Y, Li J, Qin W, Li K, et al. (2009) Brain Anatomical Network and Intelligence. PLoSComput<br />Ol...
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Brain Networks

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Speaker: Jimmy Lu
Topics: Brain Networks
Date: 2010.02.06

WECO Lab, CSIE, FJU

Published in: Technology
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Brain Networks

  1. 1. Brian networks2010/02/06Brain Anatomical Network and Intelligence&Organization, development and function of complex brain networks<br />Speaker : Jimmy Lu<br />Advisor : Hsing Mei<br />Web Computing Laboratory<br />Computer Science and Information Engineering Department<br />Fu Jen Catholic University<br />
  2. 2. Outline<br />Introduction<br />Background<br />Graph theory<br />Complex networks<br />Examine principles (three aspects)<br />Structural, functional, effective connectivity<br />Clinical terms<br />Experiment<br />Future work<br />2<br />
  3. 3. Introduction<br />Examines principles<br />Structural properties<br />Relationship between the structural substrate and dynamic functional and effective connectivity patterns<br />The efficiency of brain structural organization may be an important biological basis for intelligence<br />3<br />
  4. 4. Background – graph theory<br />Adjacency (connection) matrix<br />Characteristic path length<br />Clustering coefficient<br />Connectedness<br />Cycle<br />Degree<br />Distance<br />Distance matrix<br />Graph<br />Path<br />Regular graph<br />Random graph<br />Scale-free graph<br />Small-world networks<br />
  5. 5. Background – complex networks<br />Random networks<br />Small-world networks<br />Scale-free networks<br />
  6. 6. Background – three aspects<br />Neuroanatomical substrate (structural connectivity)<br />Dynamics of neurons (functional connectivity)<br />Functional segregation<br />Functional integration<br />Causal interaction (effective connectivity)<br />
  7. 7. Background - structural<br />Network participation indices<br />In-degree, out-degree<br />transmission coefficient<br />Broadcasters, integrators<br />cooperative<br />Matching index<br />Connectional fingerprint<br />Motif analysis<br />
  8. 8. Background - structural<br />Graph theoretical analysis<br />High clustering, short path length<br />Functional proximity<br />Multivariate analysis<br />Multidimensional scaling<br />Hierarchical cluster<br />Evolutionary optimization<br />Inter-cluster connection<br />Connectedness<br />
  9. 9. Background - structural<br />
  10. 10. Background - structural<br />
  11. 11. Background - structural<br />
  12. 12. Background - structural<br />
  13. 13. Background – development<br />Local spatial growth rules<br />Preferential attachment<br />Global network design<br />
  14. 14. Background – clinical terms<br />Anatomical Automatic Labeling (AAL)<br />Magnetic resonance imaging (MRI)<br />Diffusion MRI<br />Functional MRI (fMRI)<br />In vivo<br />Cerebral cortex<br />Tractography<br />
  15. 15. Background - functional<br />There are some problems in the previous work<br />Only binary networks<br />Nonzero connection probability value to brain region pairs which are unlikely to be connected<br />Etc...<br />But they all have evidence that brain network is close to small-world<br />
  16. 16. Background - experiment<br />79 subjects (44 males and 35 females, mean age = 23.8 years, range = 17-33 years)<br />intelligence quotient (IQ) test (FSIQ, PIQ, VIQ)<br />GI (general intelligence)/HI (high intelligence) group<br />Diffusion tensor image (DTI)/T1 image/AAL co-register<br />Normalize, inverse<br />Construct binary and weighted network of an individual brain<br />Anatomical network analyses<br />Statistical analysis<br />
  17. 17. Background - experiment<br />
  18. 18. Background - experiment<br />
  19. 19. Background - experiment<br />
  20. 20. Background - experiment<br />
  21. 21. Background - experiment<br />
  22. 22. Background - experiment<br />
  23. 23. Background - experiment<br />
  24. 24. Background - experiment<br />
  25. 25. Future work<br />
  26. 26. Future work<br />From the computer science perspective<br />How about the social network?<br />Other internet overlaid networks?<br />A brain simulator?<br />Etc…?<br />
  27. 27. Reference<br />Li Y, Liu Y, Li J, Qin W, Li K, et al. (2009) Brain Anatomical Network and Intelligence. PLoSComput<br />Olaf Sporns, Dante R. Chialvo, Marcus Kaiser and Claus C. Hilgetag (2004) Organization, development and function of complex brain networks. TRENDS in Cognitive Sciences Vol.8 No.9<br />

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