메뉴 건너뛰기




Volumn 101, Issue , 2014, Pages 681-694

Comparison of statistical tests for group differences in brain functional networks

Author keywords

ASPU test; Brain network connectivity; High dimensional data; Neuroimaging; Rs fMRI; Statistical power

Indexed keywords

ADAPTIVE SUM OF POWERED SCORE; ADAPTIVE SUM OF POWERED SCORE WEIGHTED VERSION; ALGORITHM; ANALYTICAL ERROR; ARTICLE; BRAIN FUNCTION; BRAIN REGION; CALCULATION; CONNECTOME; CONTROLLED STUDY; COVARIANCE; DATA ANALYSIS; HISTOGRAM; INTERMETHOD COMPARISON; LINEAR SYSTEM; MULTIVARIATE MATRIX DISTANCE REGRESSION; NETWORK BASED STATISTIC; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL; ADOLESCENT; BRAIN; CHILD; COMPARATIVE STUDY; COMPUTER SIMULATION; FETAL ALCOHOL SYNDROME; HUMAN; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES;

EID: 84907028628     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.07.031     Document Type: Article
Times cited : (51)

References (51)
  • 2
    • 0000286531 scopus 로고
    • An ordination of the upland forest communities of southern Wisconsin
    • Bray J.R., Curtis J.T. An ordination of the upland forest communities of southern Wisconsin. Ecol. Monogr. 1957, 27:325-349.
    • (1957) Ecol. Monogr. , vol.27 , pp. 325-349
    • Bray, J.R.1    Curtis, J.T.2
  • 3
    • 60549103853 scopus 로고    scopus 로고
    • Complex brain networks: graph theoretical analysis of structural and functional systems
    • Bullmore E., Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 2009, 10:186-198.
    • (2009) Nat. Rev. Neurosci. , vol.10 , pp. 186-198
    • Bullmore, E.1    Sporns, O.2
  • 4
    • 0030175198 scopus 로고    scopus 로고
    • AFNI: software for analysis and visualization of functional magnetic resonance neuroimages
    • Cox R.W. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput. Biomed. Res. 1996, 29(3):162-173.
    • (1996) Comput. Biomed. Res. , vol.29 , Issue.3 , pp. 162-173
    • Cox, R.W.1
  • 5
    • 84861338060 scopus 로고    scopus 로고
    • Dynamic connectivity regression: determining state-related changes in brain connectivity
    • Cribben I., Haraldsdottir R., Atlas L., Wager T., Lindquist M. Dynamic connectivity regression: determining state-related changes in brain connectivity. NeuroImage 2012, 61:907-920.
    • (2012) NeuroImage , vol.61 , pp. 907-920
    • Cribben, I.1    Haraldsdottir, R.2    Atlas, L.3    Wager, T.4    Lindquist, M.5
  • 6
    • 0032769093 scopus 로고    scopus 로고
    • Cortical surface-based analysis. I. Segmentation and surface reconstruction
    • Dale A.M., Fischl B., Sereno M.I. Cortical surface-based analysis. I. Segmentation and surface reconstruction. NeuroImage 1999, 9(2):179-194.
    • (1999) NeuroImage , vol.9 , Issue.2 , pp. 179-194
    • Dale, A.M.1    Fischl, B.2    Sereno, M.I.3
  • 8
    • 78149420706 scopus 로고    scopus 로고
    • Network scaling effects in graph analytic studies of human resting-state FMRI data
    • Fornito A., Zalesky A., Bullmore E.T. Network scaling effects in graph analytic studies of human resting-state FMRI data. Front. Syst. Neurosci. 2010, 4:22.
    • (2010) Front. Syst. Neurosci. , vol.4 , pp. 22
    • Fornito, A.1    Zalesky, A.2    Bullmore, E.T.3
  • 9
    • 84865483187 scopus 로고    scopus 로고
    • Increasing power for voxel-wise genome-wide association studies: the random field theory, least square kernel machines and fast permutation procedures
    • Ge T., Feng J., Hibar D.P., Thompson P.M., Nichols T.E. Increasing power for voxel-wise genome-wide association studies: the random field theory, least square kernel machines and fast permutation procedures. NeuroImage 2012, 63(2):858-873.
    • (2012) NeuroImage , vol.63 , Issue.2 , pp. 858-873
    • Ge, T.1    Feng, J.2    Hibar, D.P.3    Thompson, P.M.4    Nichols, T.E.5
  • 10
    • 67949092690 scopus 로고    scopus 로고
    • Accurate and robust brain image alignment using boundary-based registration
    • Greve D.N., Fischl B. Accurate and robust brain image alignment using boundary-based registration. NeuroImage 2009, 48(1):63-72. doi: S1053-8119(09)00675-2.
    • (2009) NeuroImage , vol.48 , Issue.1 , pp. 63-72
    • Greve, D.N.1    Fischl, B.2
  • 11
    • 84858079758 scopus 로고    scopus 로고
    • Intrinsic functional-connectivity networks for diagnosis: just beautiful pictures?
    • Habeck C., Moeller J.R. Intrinsic functional-connectivity networks for diagnosis: just beautiful pictures?. Brain Connect. 2011, 1:99-103.
    • (2011) Brain Connect. , vol.1 , pp. 99-103
    • Habeck, C.1    Moeller, J.R.2
  • 13
    • 77954623552 scopus 로고    scopus 로고
    • Graph theoretical modeling of brain connectivity
    • He Y., Evans A. Graph theoretical modeling of brain connectivity. Curr. Opin. Neurol. 2010, 23(4):341-350.
    • (2010) Curr. Opin. Neurol. , vol.23 , Issue.4 , pp. 341-350
    • He, Y.1    Evans, A.2
  • 15
    • 34547219105 scopus 로고    scopus 로고
    • Network structure of cerebral cortex shapes functional connectivity on multiple time scales
    • Honey C.J., Kotter R., Breakspear M., Sporns O. Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proc. Natl. Acad. Sci. 2007, 104:10240-10245.
    • (2007) Proc. Natl. Acad. Sci. , vol.104 , pp. 10240-10245
    • Honey, C.J.1    Kotter, R.2    Breakspear, M.3    Sporns, O.4
  • 18
    • 77249118678 scopus 로고    scopus 로고
    • Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation
    • Huang S., Li J., Sun L., Ye J., Fleisher A., Wu T., Chen K., Reiman E. Learning brain connectivity of Alzheimer's disease by sparse inverse covariance estimation. NeuroImage 2010, 50:935-949.
    • (2010) NeuroImage , vol.50 , pp. 935-949
    • Huang, S.1    Li, J.2    Sun, L.3    Ye, J.4    Fleisher, A.5    Wu, T.6    Chen, K.7    Reiman, E.8
  • 19
    • 35348957264 scopus 로고    scopus 로고
    • Efficient behavior of small-world networks
    • Latora V., Marchiori M. Efficient behavior of small-world networks. Phys. Rev. Lett. 2001, 87:198701.
    • (2001) Phys. Rev. Lett. , vol.87 , pp. 198701
    • Latora, V.1    Marchiori, M.2
  • 20
    • 67649342618 scopus 로고    scopus 로고
    • The statistical analysis of fMRI data
    • Lindquist M. The statistical analysis of fMRI data. Stat. Sci. 2008, 23:439-464.
    • (2008) Stat. Sci. , vol.23 , pp. 439-464
    • Lindquist, M.1
  • 21
    • 36749013671 scopus 로고    scopus 로고
    • Semiparametric regression of multidimensional genetic pathway data: least-squares kernel machines and linear mixed models
    • Liu D., Lin X., Ghosh D. Semiparametric regression of multidimensional genetic pathway data: least-squares kernel machines and linear mixed models. Biometrics 2007, 63:1079-1088.
    • (2007) Biometrics , vol.63 , pp. 1079-1088
    • Liu, D.1    Lin, X.2    Ghosh, D.3
  • 22
  • 23
    • 0035133496 scopus 로고    scopus 로고
    • Fitting multivariate models to community data: a comment on distance-based redundancy analysis
    • McArdle B.H., Anderson M.J. Fitting multivariate models to community data: a comment on distance-based redundancy analysis. Ecology 2001, 82:290-297.
    • (2001) Ecology , vol.82 , pp. 290-297
    • McArdle, B.H.1    Anderson, M.J.2
  • 26
    • 71549166084 scopus 로고    scopus 로고
    • Decreased connectivity and cerebellar activity in autism during motor task performance
    • Mostofsky S.H., Powell S.K., Simmonds D.J., Goldberg M.C., Caffo B., Pekar J.J. Decreased connectivity and cerebellar activity in autism during motor task performance. Brain 2009, 132:2413-2425.
    • (2009) Brain , vol.132 , pp. 2413-2425
    • Mostofsky, S.H.1    Powell, S.K.2    Simmonds, D.J.3    Goldberg, M.C.4    Caffo, B.5    Pekar, J.J.6
  • 27
    • 0036136472 scopus 로고    scopus 로고
    • Nonparametric permutation tests For functional neuroimaging: a primer with examples
    • Nichols T.E., Holmes A.P. Nonparametric permutation tests For functional neuroimaging: a primer with examples. Hum. Brain Mapp. 2001, 15:1-25.
    • (2001) Hum. Brain Mapp. , vol.15 , pp. 1-25
    • Nichols, T.E.1    Holmes, A.P.2
  • 29
    • 69949121284 scopus 로고    scopus 로고
    • Asymptotic tests of association with multiple SNPs in linkage disequilibrium
    • Pan W. Asymptotic tests of association with multiple SNPs in linkage disequilibrium. Genet. Epidemiol. 2009, 33:497-507.
    • (2009) Genet. Epidemiol. , vol.33 , pp. 497-507
    • Pan, W.1
  • 30
    • 79959550753 scopus 로고    scopus 로고
    • Relationship between genomic distance-based regression and kernel machine regression for multi-marker association testing
    • Pan W. Relationship between genomic distance-based regression and kernel machine regression for multi-marker association testing. Genet. Epidemiol. 2011, 35:211-216.
    • (2011) Genet. Epidemiol. , vol.35 , pp. 211-216
    • Pan, W.1
  • 31
    • 84905641353 scopus 로고    scopus 로고
    • A powerful and adaptive association test for rare variants
    • Pan W., Kim J., Zhang Y., Shen X., Wei P. A powerful and adaptive association test for rare variants. Genetics 2014, 10.1534/genetics.114.165035.
    • (2014) Genetics
    • Pan, W.1    Kim, J.2    Zhang, Y.3    Shen, X.4    Wei, P.5
  • 33
    • 77954385460 scopus 로고    scopus 로고
    • Complex network measures of brain connectivity: uses and interpretations
    • Rubinov M., Sporns O. Complex network measures of brain connectivity: uses and interpretations. NeuroImage 2010, 52:1059-1069.
    • (2010) NeuroImage , vol.52 , pp. 1059-1069
    • Rubinov, M.1    Sporns, O.2
  • 35
    • 27844521293 scopus 로고    scopus 로고
    • A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics
    • Schafer J., Strimmer K. A shrinkage approach to large-scale covariance matrix estimation and implications for functional genomics. Stat. Appl. Genet. Mol. Biol. 2005, 32:4(1).
    • (2005) Stat. Appl. Genet. Mol. Biol. , vol.32 , Issue.1 , pp. 4
    • Schafer, J.1    Strimmer, K.2
  • 37
    • 7044260964 scopus 로고    scopus 로고
    • Advances in functional and structural MR image analysis and implementation as FSL
    • Smith S.M., Jenkinson M., Woolrich M.W., Beckmann C.F., Behrens T.E., Johansen-Berg H., et al. Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage 2004, 23(Suppl. 1):S208-S219. (doi: S1053-8119(04)00393-3, pii).
    • (2004) NeuroImage , vol.23 , pp. S208-S219
    • Smith, S.M.1    Jenkinson, M.2    Woolrich, M.W.3    Beckmann, C.F.4    Behrens, T.E.5    Johansen-Berg, H.6
  • 40
    • 33947635264 scopus 로고    scopus 로고
    • Testing for equal distributions in high dimension
    • Szekely G.J., Rizzo M.L. Testing for equal distributions in high dimension. InterStat 2004, 5.
    • (2004) InterStat , vol.5
    • Szekely, G.J.1    Rizzo, M.L.2
  • 41
    • 84880327399 scopus 로고    scopus 로고
    • Learning and comparing functional connectomes across subjects
    • Varoquaux G., Craddock R.C. Learning and comparing functional connectomes across subjects. NeuroImage 2013, 80:405-415.
    • (2013) NeuroImage , vol.80 , pp. 405-415
    • Varoquaux, G.1    Craddock, R.C.2
  • 42
    • 0032482432 scopus 로고    scopus 로고
    • Collective dynamics of small-world networks
    • Watts D.J., Strogatz S.H. Collective dynamics of small-world networks. Nature 1998, 393:440-442.
    • (1998) Nature , vol.393 , pp. 440-442
    • Watts, D.J.1    Strogatz, S.H.2
  • 44
    • 33751114975 scopus 로고    scopus 로고
    • Generalized genomic distance-based regression methodology for multilocus association analysis
    • Wessel J., Schork N.J. Generalized genomic distance-based regression methodology for multilocus association analysis. Am. J. Hum. Genet. 2006, 79:792-806.
    • (2006) Am. J. Hum. Genet. , vol.79 , pp. 792-806
    • Wessel, J.1    Schork, N.J.2
  • 47
    • 77957324650 scopus 로고    scopus 로고
    • Network based statistic: identifying differences in brain networks
    • Zalesky A., Fornito A., Bullmore E.T. Network based statistic: identifying differences in brain networks. NeuroImage 2010, 53(4):1197-1207.
    • (2010) NeuroImage , vol.53 , Issue.4 , pp. 1197-1207
    • Zalesky, A.1    Fornito, A.2    Bullmore, E.T.3
  • 48
    • 33845900991 scopus 로고    scopus 로고
    • Multivariate regression analysis of distance matrices for testing associations between gene expression patterns and related variables
    • Zapala M.A., Schork N.J. Multivariate regression analysis of distance matrices for testing associations between gene expression patterns and related variables. Proc. Natl. Acad. Sci. U. S. A. 2006, 103:19430-19435.
    • (2006) Proc. Natl. Acad. Sci. U. S. A. , vol.103 , pp. 19430-19435
    • Zapala, M.A.1    Schork, N.J.2
  • 49
    • 84876153565 scopus 로고    scopus 로고
    • Statistical properties of multivariate distance matrix regression for high-dimensional data analysis
    • Zapala M.A., Schork N.J. Statistical properties of multivariate distance matrix regression for high-dimensional data analysis. Front. Genet. 2012, 3:190.
    • (2012) Front. Genet. , vol.3 , pp. 190
    • Zapala, M.A.1    Schork, N.J.2
  • 50
    • 84899960213 scopus 로고    scopus 로고
    • for the ADNI Testing for association with multiple traits in generalized estimation equations, with application to neuroimaging data
    • Zhang Y., Xu Z., Shen X., Pan W., for the ADNI Testing for association with multiple traits in generalized estimation equations, with application to neuroimaging data. NeuroImage 2014, 96:309-325.
    • (2014) NeuroImage , vol.96 , pp. 309-325
    • Zhang, Y.1    Xu, Z.2    Shen, X.3    Pan, W.4
  • 51
    • 33845353054 scopus 로고    scopus 로고
    • Hierarchical organization unveiled by functional connectivity in complex brain networks
    • Zhou C., Zemanova L., Zamora G., Hilgetag C.C., Kurths J. Hierarchical organization unveiled by functional connectivity in complex brain networks. Phys. Rev. Lett. 2006, 97:238103.
    • (2006) Phys. Rev. Lett. , vol.97 , pp. 238103
    • Zhou, C.1    Zemanova, L.2    Zamora, G.3    Hilgetag, C.C.4    Kurths, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.