Abstract
An increasing amount of research has focused on the use of newer and alternative data analytic approaches to multi-dimensional data sets. The primary aim of this paper is to introduce two data analytic approaches as they have been applied to image scans from functional Magnetic Resonance Imaging (fMRI). The first approach involves loading data from fMRI scans into multi-dimensional cubes and performing tensor decomposition. In addition, we introduce a second approach involving the use of network modeling that attempts to identify stable networks in fMRI scans across time. Discussion will be focused on the application of these approaches to the modeling and rehabilitation following closed-head injury.
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Kollmorgan, L.S.: A Case For Operational Approach in Advanced Research Projects – The Augmented Cognition Story. Aviat. Space Environ. Med. 78(1), 1–3 (2007)
Schmorrow, D., Reeves, L.M.: 21st Century Human Systems Computing: Augmented Cognition for Improved Human Performance. Aviat. Space Environ. Med. 78(1), 7–11 (2007)
Beckmann, C.F., Smith, S.M.: Tensorial extensions of independent component analysis for multisubject FMRI analysis. Neuroimage, 294–311 (2005)
Sun, J., Tao, D., Faloutsos, C.: Beyond streams and graphs: Dynamic tensor analysis. In: KDD 2006 (2006)
Sun, J., Charalampos, T.E., Hoke, E., Faloutsos, C., Tina, E.R.: Two heads better than one: Pattern discovery in time evolving multi-aspect data. Data Mining & Knowledge Discovery, 111–128 (2008)
Belliveau, J.W., Kennedy, D.N., McKinstry, R.C., Buchbinder, B.R., Weisskoff, R.M., Cohen, M.S., Vevea, J.M., Brady, T.J., Rosen, B.R.: Functional mapping of the human visual cortex by magnetic resonance imaging. Science 254, 716–719 (2006)
De Vos, M., Vergult, A., De Lathauwer, L., De Clercq, W., Van Huffel, S., Dupont, P., Palmini, A., Van Paesschen, W.: Canonical decomposition of ictal scalp EEG reliably detects the seizure onset zone. Neuroimage 37, 844–854 (2007)
Morup, M., Hansen, L.K., Hermann, C.S., Parnas, J., Arnfred, S.M.: Parallel Factor Analysis as an exploratory tool for wavelet transformed event-related EEG. Neuroimage, 938–947 (2006)
Stam, C.J., Reijneveld, J.C.: Graph Theoretical Analysis of Complex Networks in the Brain. Nonlinear Biomedical Physics 1, 3 (2007)
Wang, X., Davidson, I.: Flexible constrained spectral clustering. In: KDD 2010, pp. 563–572 (2010)
Davidson, I.: Knowledge driven dimension reduction for clustering. In: IJCAI, pp. 1034–1039 (2009)
Qian, B., Davidson, I.: Semi-supervised dimension reduction for multi-label classification. In: AAAI (2010)
Salvador, R., Suckling, J., Coleman, M.R., Pickard, J.D., Menon, D., Bullmore, E.: Neurophysiological architecture of functional magnetic resonance images of human brain. Cereb Cortex 15, 1332–1342 (2005)
Salvador, R., Suckling, J., Schwarzbauer, C., Bullmore, E.: Undirected graphs of frequency-dependent functional connectivity in whole brain networks. Phil. Trans. R Soc. Lond. B 360, 937–946 (2005)
Ricker, J.H., Hillary, F.G., DeLuca, J.: Functionally Activated Brain Imaging (O-15 PET and fMRI) in the Study of Learning and Memory after Traumatic Brain Injury. J. Head Trauma Rehabil. 16(2), 191–205 (2006)
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Walker, P.B., Davidson, I.N. (2011). Exploring New Methodologies for the Analysis of Functional Magnetic Resonance Imaging (fMRI) Following Closed-Head Injuries. In: Schmorrow, D.D., Fidopiastis, C.M. (eds) Foundations of Augmented Cognition. Directing the Future of Adaptive Systems. FAC 2011. Lecture Notes in Computer Science(), vol 6780. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21852-1_15
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DOI: https://doi.org/10.1007/978-3-642-21852-1_15
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