Low-dimensional embedding of functional connectivity graphs for brain state decoding

Proceedings - Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging, WBD 2010 - In Conjunction with theInternational Conference on Pattern Recognition, ICPR 2010

Volumn , Issue , 2010, Pages 21-24

  Richiardi, Jonas ^a,b   Ville, Dimitri Van De ^a,b   Eryilmaz, Hamdi ^b  

^a EPFL   (Switzerland)

^b UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

Brain decoding; fMRI; Graph embedding; Resting state; Two dimensional SVD

Indexed keywords

ADJACENCY MATRICES; BRAIN STATE; CLASSIFICATION PERFORMANCE; CONNECTIVITY GRAPH; FIXED NUMBERS; FMRI; FUNCTIONAL CONNECTIVITY; GRAPH EMBEDDINGS; LOW-DIMENSIONAL SPACES; RESTING-STATE; SPACE GRAPHS; SUBJECT CLASSIFICATION;

EMBEDDED SYSTEMS; GRAPH THEORY; GRAPHIC METHODS; PATTERN RECOGNITION; TECHNICAL PRESENTATIONS; TWO DIMENSIONAL; VECTOR SPACES;

DECODING;

EID: 78049493720     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WBD.2010.15     Document Type: Conference Paper

References (10)

1. R. Salvador, J. Suckling, C. Schwarzbauer, and E. Bullmore, "Undirected graphs of frequency-dependent functional connectivity in whole brain networks, " Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 360, no. 1457, pp. 937-946, 2005.
2. S. Achard, R. Salvador, B. Whitcher, J. Suckling, and E. Bullmore, "A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs, " The Journal of Neuroscience, vol. 26, no. 1, pp. 63-72, Jan. 2006.
3. A. Zalesky, A. Fornito, I. H. Harding, L. Cocchi, M. Yücel, C. Pantelis, and E. T. Bullmore, "Whole-brain anatomical networks: does the choice of nodes matter?" NeuroImage, vol. 50, pp. 970-983, 2010.
4. J. Richiardi, H. Eryilmaz, S. Schwartz, P. Vuilleumier, and D. Van De Ville, "Decoding brain states from fMRI connectivity graphs, " NeuroImage, 2010, (in press).
5. P. Dickinson, H. Bunke, A. Dadej, and M. Kraetzl, "Matching graphs with unique node labels, " Pattern Analysis & Applications, vol. 7, no. 3, pp. 243-254, Sep. 2004.
6. J. Richiardi, D. Van De Ville, K. Riesen, and H. Bunke, "Vector space embedding of undirected graphs with fixedcardinality vertex sequences for classification, " in Proc. 20th Int. Conf. on Pattern Recognition (ICPR), 2010.
7. J. Yang, D. Zhang, A. Frangi, and J. yu Yang, "Twodimensional PCA: a new approach to appearance-based face representation and recognition, " EEE Trans. on Pattern Analysis and Machine Intelligence, vol. 26, no. 1, pp. 131-137, 2004.
8. R. Wilson, E. Hancock, and B. Luo, "Pattern vectors from algebraic graph theory, " IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 7, pp. 1112-1124, 2005.
9. B. Thirion, S. Dodel, and J.-B. Poline, "Detection of signal synchronizations in resting-state fMRI datasets, " NeuroImage, vol. 29, pp. 321-327, 2006.
10. Y. Alemán-Gómez, L. Melie-García, and P. Valdés-Hernandez, "IBASPM: Toolbox for automatic parcellation of brain structures, " in Proc. 12th Annual Meeting of the Organization for Human Brain Mapping, Florence, Italy, June 2006.