Identifying modular relations in complex brain networks

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Volumn , Issue , 2012, Pages

  Andersen, Kasper Winther ^a,b   Morup, Morten ^a   Siebner, Hartwig ^b   Madsen, Kristoffer H ^b   Hansen, Lars Kai ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b HVIDOVRE HOSPITAL   (Denmark)

Author keywords

Complex Networks; fMRI; Infinite Relational Model

Indexed keywords

BRAIN NETWORKS; COMPETING MODELS; COMPLEX NETWORKS; DATA DRIVEN; FMRI; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GENERATIVE MODEL; HEALTHY CONTROLS; NON-PARAMETRIC BAYESIAN; RELATIONAL MODEL; RELATIONAL STRUCTURES; REPRODUCIBILITIES; RESTING STATE; SYNTHETIC DATA;

BAYESIAN NETWORKS; LEARNING SYSTEMS; MAGNETIC RESONANCE IMAGING; POPULATION STATISTICS; SIGNAL PROCESSING;

DIGITAL STORAGE;

EID: 84870680723     PISSN: 21610363     EISSN: 21610371     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2012.6349739     Document Type: Conference Paper

References (14)

1. S.M. Blinkov and I.I. Glezer, The human brain in figures and tables: a quantitative handbook, Basic Books New York:, 1968.
2. A.M. Galaburda, G.D. Rosen, and G.F. Sherman, "Individual variability in cortical organization: its relationship to brain laterality and implications to function," Neuropsychologia, vol. 28, no. 6, pp. 529-546, 1990. (Pubitemid 20251108)
3. K.J. Friston, A.P. Holmes, K.J.Worsley, J.P. Poline, C.D. Frith, and R.S.J. Frackowiak, "Statistical parametric maps in functional imaging: a general linear approach," Human brain mapping, vol. 2, no. 4, pp. 189-210, 1994. (Pubitemid 124008664)
4. Olaf Sporns, "The human connectome: a complex network.," Annals of the New York Academy of Sciences, vol. 1224, no. 1, pp. 109-25, Apr. 2011.
5. Edward T Bullmore and Danielle S Bassett, "Brain graphs: graphical models of the human brain connectome.," Annual review of clinical psychology, vol. 7, pp. 113-40, Apr. 2011.
6. M Mørup, K.H. Madsen, A.M. Dogonowski, H. Siebner, and L.K. Hansen, "Infinite Relational Modeling of Functional Connectivity in Resting State fMRI," Neural Information Processing Systems 23, 2010.
7. M. Mørup and M. N. Schmidt, "Bayesian community detection," Neural Computation, 2012.
8. S.C. Strother, J. Anderson, L.K. Hansen, U. Kjems, R. Kustra, J. Sidtis, S. Frutiger, S. Muley, S. LaConte, and D. Rottenberg, "The quantitative evaluation of functional neuroimaging experiments: The npairs data analysis framework," NeuroImage, vol. 15, no. 4, pp. 747-771, 2002. (Pubitemid 34852491)
9. D.J. Jacobsen, L.K. Hansen, and K.H. Madsen, "Bayesian model comparison in nonlinear bold fmri hemodynamics," Neural computation, vol. 20, no. 3, pp. 738-755, 2008.
10. Charles Kemp, J.B. Tenenbaum, T.L. Griffiths, T. Yamada, and N. Ueda, "Learning systems of concepts with an infinite relational model," in Proceedings of the National Conference on Artificial Intelligence. 2006, vol. 21, pp. 381-388, Menlo Park, CA; Cambridge, MA; London; AAAI Press; MIT Press; 1999. (Pubitemid 44705314)
11. Zhao Xu, Volker Tresp, Kai Yu, and H.P. Kriegel, "Infinite hidden relational models," In Proceedings of the 22nd International Conference on Uncertainity in Artificial Intelligence, 2006.
12. Jake M Hofman and Chris H Wiggins, "A Bayesian approach to network modularity, 2008," Phys. Rev. Lett, vol. 100, no. 25, pp. 1-4, 2008.
13. Sonia Jain and Radford M Neal, "A Split-Merge Markov chain Monte Carlo Procedure for the Dirichlet Process Mixture Model," Journal of Computational and Graphical Statistics, vol. 13, no. 1, pp. 158-182, 2004. (Pubitemid 38422439)
14. N Tzourio-Mazoyer, B Landeau, and D Papathanassiou, "Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI singlesubject brain," Neuroimage, vol. 15, pp. 273-289, 2002. (Pubitemid 34852226)