A novel sparse graphical approach for multimodal brain connectivity inference

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7510 LNCS, Issue , 2012, Pages 707-714

  Ng, Bernard ^a   Varoquaux, Gaël ^a   Poline, Jean Baptiste ^a   Thirion, Bertrand ^a  

^a INRIA SACLAY   (France)

Author keywords

Brain connectivity; Diffusion MRI; fMRI; Multimodal integration

Indexed keywords

INVERSE PROBLEMS; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING;

BRAIN CONNECTIVITY; DIFFUSION MRIS; ESTIMATION APPROACHES; FMRI; FUNCTIONAL CONNECTIVITY; FUNCTIONAL INTERACTION; GAUSSIAN GRAPHICAL MODELS; MULTIMODAL INTEGRATION;

FUNCTIONAL NEUROIMAGING;

ALGORITHM; ARTICLE; AUDIOVISUAL EQUIPMENT; BRAIN; BRAIN MAPPING; COHORT ANALYSIS; COMPUTER GRAPHICS; COMPUTER INTERFACE; COMPUTER PROGRAM; DIAGNOSTIC IMAGING; HUMAN; METHODOLOGY; NORMAL DISTRIBUTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY;

ALGORITHMS; BRAIN; BRAIN MAPPING; COHORT STUDIES; COMPUTER GRAPHICS; DIAGNOSTIC IMAGING; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, ANATOMIC; NORMAL DISTRIBUTION; SOFTWARE; USER-COMPUTER INTERFACE;

MLCS; MLOWN;

EID: 84872546376     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33415-3_87     Document Type: Conference Paper

References (17)

1. Fox, M.D., Greicius, M.D.: Clincial Applications of Resting State Functional Connectivity. Front. Syst. Neurosci. 4, 19 (2010)
2. Varoquaux, G., Gramfort, A., Poline, J.B., Thirion, B.: Brain Covariance Selection: Better Individual Functional Connectivity Models Using Population Prior. In: Advances in Neural Information Processing Systems, vol. 23, pp. 2334–2342 (2010)
3. Honey, C.J., Thivierge, J.P., Sporns, O.: Can Structure Predict Function in the Human Brain. NeuroImage 52, 766–776 (2010)
4. Damoiseaux, J.S., Greicius, M.D.: Greater than the Sum of its Parts: A Review of Studies Combining Structural Connectivity and Resting-state Functional Connectivity. Brain Struct.Funct. 213, 525–533 (2009)
5. Zhu, D., Li, K., Faraco, C.C., Deng, F., Zhang, D., Guo, L., Miller, L.S., Liu, T.: Optimization of Functional Brain ROIs via Maximization of Consistency of Structural Connectivity Profiles. NeuroImage 59, 1382–1393 (2012)
6. Si, J., Pearlson, G., Caprihan, A., Adali, T., Kiehl, K.A., Liu, J., Yamamoto, J., Calhoun, V.D.: Discriminating Schizophrenia and Bipolar Disorder by Fusing fMRI and DTI in a Multimodal CCA + joint ICA Model. NeuroImage 57, 839–855 (2011)
7. Venkataraman, A., Rathi, Y., Kubicki, M., Westin, C.F., Golland, P.: Joint Modeling of Anatomical and Functional Connectivity for Population Studies. IEEE Trans. Med. Imaging 31, 164–182 (2012)
8. Hsieh, C.J., Sustik, M.A., Dhillon, I.S., Ravikumar, P.: Sparse Invers Covariance Matrix Estimation Using Quadratic Approximation. In: Advances in Neural Information Processing Systems, vol. 24, pp. 2330–2338 (2011)
9. Ng, B., Abugharbieh, R., Varoquaux, G., Poline, J.B., Thirion, B.: Connectivity-Informed fMRI Activation Detection. In: Fichtinger, G., Martel, A., Peters, T. (eds.)MICCAI 2011, Part II. LNCS, vol. 6892, pp. 285–292. Springer, Heidelberg (2011)
10. Duchi, J., Gould, S., Koller, D.: Projected Subgradient Methods for Learning Sparse Gaussions. In: Int. Conf. Uncertainty in Artificial Intelligence (2008)
11. Friston, K.J., Holmes, A.P., Worsley, K.J., Poline, J.B., Frith, C.D., Frackowiak, R.S.J.: Statistical Parametric Maps in Functional Imaging: A General Linear Approach. Hum. Brain Mapp.2, 189–210 (1995)
12. Pinel, P., Thirion, B., Meriaux, S., Jober, A., Serres, J., Le Bihan, D., Poline, J.B., Dehaene, S.: Fast Reproducible Identification and Large-scale Databasing of Individual Functional Cognitive Networks. BioMed.Central Neurosci. 8, 91 (2007)
13. Jones, D.K., Williams, S.C.R., Gasston, D., Horsfield, M.A., Simmons, A., Howard, R.: Isotropic Resolution Diffusion Tensor Imaging with Whole Brain Acquisition in a Clinically Acceptable Time. Human Brain Mapping 15, 216–230 (2002)
14. Toussaint, N., Souplet, J.C., Fillard, P.: MedINRIA: Medical Image Navigation and Research Tool by INRIA. In: MICCAI Workshop on Interaction in Medical Image Analysis and Visualization, pp. 1–8 (2007)
15. Michel, V., Gramfort, A., Varoquaux, G., Eger, E., Keribin, C., Thirion, B.: A Supervised Clustering Approach for fMRI-based Inference of Brain States. Patt.Recog. 45, 2041– 2049 (2012)
16. Chen, Y., Wiesel, A., Eldar, Y.C., Hero, A.O.: Shrinkage Algorithms for MMSE Covariance Estimation. IEEE Trans. Sig. Proc. 58, 5016–5029 (2010)
17. Nichols, T., Hayasaka, S.: Controlling the Familywise Error Rate in Functional Neuroimaging: a Comparative Review. Stat. Methods Med. Research 12, 419–446 (2003)