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Volumn 16, Issue 1, 2014, Pages 245-264

Describing high-order statistical dependence using "concurrence topology," with application to functional MRI brain data

Author keywords

ADHD; Computational homology; Dichotomous data; FMRI; Fourier analysis of time series; High order dependence; Persistent homology

Indexed keywords


EID: 84985916835     PISSN: 15320073     EISSN: 15320081     Source Type: Journal    
DOI: 10.4310/HHA.2014.v16.n1.a14     Document Type: Article
Times cited : (7)

References (33)
  • 10
    • 55449121975 scopus 로고    scopus 로고
    • Cell groups reveal structure of stimulus space
    • C. Curto and V. Itskov, Cell groups reveal structure of stimulus space, PLoS Computational Biology 4 (2008).
    • (2008) PLoS Computational Biology , vol.4
    • Curto, C.1    Itskov, V.2
  • 11
    • 80053183452 scopus 로고    scopus 로고
    • Optimal homologous cycles, total unimodularity, and linear programming
    • T.K. Dey, A. Hirani, and B. Krishnamoorthy, Optimal homologous cycles, total unimodularity, and linear programming, SIAM J. Computing 40 (2008), 1026-1044.
    • (2008) SIAM J. Computing , vol.40 , pp. 1026-1044
    • Dey, T.K.1    Hirani, A.2    Krishnamoorthy, B.3
  • 14
    • 84985892088 scopus 로고    scopus 로고
    • unpublished manuscript
    • S.P. Ellis, Notes on computational homology, unpublished manuscript available at http://binarybottle.com/concurrencetopology/, 2013.
    • (2013) Notes on computational homology
    • Ellis, S.P.1
  • 15
    • 41849100389 scopus 로고    scopus 로고
    • Barcodes: The persistent topology of data
    • R. Ghrist, Barcodes: The persistent topology of data, Bulletin of the American Math. Soc. 45 (2008), 61-75.
    • (2008) Bulletin of the American Math. Soc , vol.45 , pp. 61-75
    • Ghrist, R.1
  • 23
    • 77952903554 scopus 로고    scopus 로고
    • Is the ADHD brain wired differently? A review on structural and functional connectivity in Attention Deficit Hyperactivity Disorder
    • K. Konrad and S.B. Eickhoff, Is the ADHD brain wired differently? A review on structural and functional connectivity in Attention Deficit Hyperactivity Disorder, Human Brain Mapping 31 (2010), 904-916.
    • (2010) Human Brain Mapping , vol.31 , pp. 904-916
    • Konrad, K.1    Eickhoff, S.B.2
  • 24
    • 80055057822 scopus 로고    scopus 로고
    • Discriminative persistent homology of brain networks, Biomedical Imaging: From Nano to Macro
    • H. Lee, M. Chung, H. Kang, B.-N. Kim, and D.S. Lee, Discriminative persistent homology of brain networks, In Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium, 841-844, 2011.
    • (2011) 2011 IEEE International Symposium , pp. 841-844
    • Lee, H.1    Chung, M.2    Kang, H.3    Kim, B.-N.4    Lee, D.S.5
  • 25
    • 58149234673 scopus 로고    scopus 로고
    • Review of methods for functional brain connectivity detection using fMRI, Computerized medical imaging and graphics
    • (March)
    • K. Li, L. Guo, J. Nie, G. Li, and T. Liu, Review of methods for functional brain connectivity detection using fMRI, Computerized medical imaging and graphics: The official journal of the Computerized Medical Imaging Society 33(2) (March 2009), 131-139.
    • (2009) The official journal of the Computerized Medical Imaging Society , vol.33 , Issue.2 , pp. 131-139
    • Li, K.1    Guo, L.2    Nie, J.3    Li, G.4    Liu, T.5
  • 26
    • 77952317341 scopus 로고    scopus 로고
    • Confirming white matter fMRI activation in the corpus callosum: Co-localization with DTI tractography
    • E. Mazerolle, S. Beyea, J. Gawryluk, K. Brewer, C. Bowen, and R. D'Arcy, Confirming white matter fMRI activation in the corpus callosum: Co-localization with DTI tractography, Neuroimage 50 (2010), 616-621.
    • (2010) Neuroimage , vol.50 , pp. 616-621
    • Mazerolle, E.1    Beyea, S.2    Gawryluk, J.3    Brewer, K.4    Bowen, C.5    D'Arcy, R.6
  • 31
    • 84973418649 scopus 로고    scopus 로고
    • R Foundation for Statistical Computing, Vienna, Austria
    • R Core Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria, 2013. http://www.R-project.org/
    • (2013) R: A Language and Environment for Statistical Computing
  • 32
    • 59949083745 scopus 로고    scopus 로고
    • Functional connectivity of default mode network components: Correlation, anticorrelation, and causality
    • L.Q. Uddin, A.C. Kelly, B.B. Biswal, F.X. Castellanos, and M.P. Milham, Functional connectivity of default mode network components: Correlation, anticorrelation, and causality, Human Brain Mapping 30 (2009), 625-637.
    • (2009) Human Brain Mapping , vol.30 , pp. 625-637
    • Uddin, L.Q.1    Kelly, A.C.2    Biswal, B.B.3    Castellanos, F.X.4    Milham, M.P.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.