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Volumn 37, Issue 2, 2018, Pages 649-662

On the Reliability of Individual Brain Activity Networks

Author keywords

Brain modeling; magnetic resonance imaging; topology

Indexed keywords

COMPUTER APPLICATIONS; MEDICAL IMAGING;

EID: 85035083980     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2017.2774364     Document Type: Article
Times cited : (19)

References (66)
  • 1
    • 84888878720 scopus 로고    scopus 로고
    • Functional connectomics from resting-state fMRI
    • S. M. Smith et al., "Functional connectomics from resting-state fMRI, " Trends Cognit. Sci., vol. 17, no. 12, pp. 666-682, 2013.
    • (2013) Trends Cognit. Sci. , vol.17 , Issue.12 , pp. 666-682
    • Smith, S.M.1
  • 2
    • 84971224863 scopus 로고    scopus 로고
    • Building a science of individual differences from fMRI
    • J. Dubois and R. Adolphs, "Building a science of individual differences from fMRI, " Trends Cognit. Sci., vol. 20, no. 6, pp. 425-443, 2016.
    • (2016) Trends Cognit. Sci. , vol.20 , Issue.6 , pp. 425-443
    • Dubois, J.1    Adolphs, R.2
  • 3
    • 84982084487 scopus 로고    scopus 로고
    • A multi-modal parcellation of human cerebral cortex
    • M. F. Glasser et al., "A multi-modal parcellation of human cerebral cortex, " Nature, vol. 536, no. 7615, pp. 171-178, 2016.
    • (2016) Nature , vol.536 , Issue.7615 , pp. 171-178
    • Glasser, M.F.1
  • 4
    • 84949101858 scopus 로고    scopus 로고
    • Parcellating cortical functional networks in individuals
    • D. Wang et al., "Parcellating cortical functional networks in individuals, " Nature Neurosci., vol. 18, no. 12, pp. 1853-1860, 2015.
    • (2015) Nature Neurosci. , vol.18 , Issue.12 , pp. 1853-1860
    • Wang, D.1
  • 5
    • 84985871760 scopus 로고    scopus 로고
    • A review of structural and functional brain networks: Small world and atlas
    • Z. Yao, B. Hu, Y. Xie, P. Moore, and J. Zheng, "A review of structural and functional brain networks: small world and atlas, " Brain Informat., vol. 2, no. 1, pp. 45-52, 2015.
    • (2015) Brain Informat. , vol.2 , Issue.1 , pp. 45-52
    • Yao, Z.1    Hu, B.2    Xie, Y.3    Moore, P.4    Zheng, J.5
  • 6
    • 84899657213 scopus 로고    scopus 로고
    • Contributions and challenges for network models in cognitive neuroscience
    • O. Sporns, "Contributions and challenges for network models in cognitive neuroscience, " Nature Neurosci., vol. 17, no. 5, pp. 652-660, 2014.
    • (2014) Nature Neurosci. , vol.17 , Issue.5 , pp. 652-660
    • Sporns, O.1
  • 7
    • 84945497702 scopus 로고    scopus 로고
    • Connectomics and new approaches for analyzing human brain functional connectivity
    • R. C. Craddock, R. L. Tungaraza, and M. P. Milham, "Connectomics and new approaches for analyzing human brain functional connectivity, " GigaScience, vol. 4, no. 1, p. 13, 2015.
    • (2015) GigaScience , vol.4 , Issue.1 , pp. 13
    • Craddock, R.C.1    Tungaraza, R.L.2    Milham, M.P.3
  • 8
    • 84899880397 scopus 로고    scopus 로고
    • Statistical network analysis for functional MRI: Summary networks and group comparisons
    • May
    • C. E. Ginestet, A. P. Fournel, and A. Simmons, "Statistical network analysis for functional MRI: Summary networks and group comparisons, " Frontiers Comput. Neurosci., vol. 8, p. 51, May 2014.
    • (2014) Frontiers Comput. Neurosci. , vol.8 , pp. 51
    • Ginestet, C.E.1    Fournel, A.P.2    Simmons, A.3
  • 9
    • 84959283431 scopus 로고    scopus 로고
    • Brain parcellation choice affects disease-related topology differences increasingly from global to local network levels
    • Mar.
    • A. Lord et al., "Brain parcellation choice affects disease-related topology differences increasingly from global to local network levels, " Psychiatry Res., Neuroimag., vol. 249, pp. 12-19, Mar. 2016.
    • (2016) Psychiatry Res., Neuroimag. , vol.249 , pp. 12-19
    • Lord, A.1
  • 10
    • 84878872512 scopus 로고    scopus 로고
    • An exploration of graph metric reproducibility in complex brain networks
    • May
    • Q. K. Telesford, J. H. Burdette, and P. J. Laurienti, "An exploration of graph metric reproducibility in complex brain networks, " Frontiers Neurosci., vol. 7, p. 67, May 2013.
    • (2013) Frontiers Neurosci. , vol.7 , pp. 67
    • Telesford, Q.K.1    Burdette, J.H.2    Laurienti, P.J.3
  • 11
    • 84943612353 scopus 로고    scopus 로고
    • Challenges in the reproducibility of clinical studies with resting state fMRI: An example in early Parkinson's disease
    • Jan.
    • L. Griffanti et al., "Challenges in the reproducibility of clinical studies with resting state fMRI: An example in early parkinson's disease, " NeuroImage, vol. 124, pp. 704-713, Jan. 2016.
    • (2016) NeuroImage , vol.124 , pp. 704-713
    • Griffanti, L.1
  • 12
    • 84962693486 scopus 로고    scopus 로고
    • Reliability and reproducibility of individual differences in functional connectivity acquired during task and resting state
    • L. M. Shah, J. A. Cramer, M. A. Ferguson, R. M. Birn, and J. S. Anderson, "Reliability and reproducibility of individual differences in functional connectivity acquired during task and resting state, " Brain Behavior, vol. 6, no. 5, p. e00456, 2016.
    • (2016) Brain Behavior , vol.6 , Issue.5 , pp. e00456
    • Shah, L.M.1    Cramer, J.A.2    Ferguson, M.A.3    Birn, R.M.4    Anderson, J.S.5
  • 13
    • 84881246490 scopus 로고    scopus 로고
    • The effect of scan length on the reliability of restingstate fMRI connectivity estimates
    • Dec.
    • R. M. Birn et al., "The effect of scan length on the reliability of restingstate fMRI connectivity estimates, " NeuroImage, vol. 83, pp. 550-558, Dec. 2013.
    • (2013) NeuroImage , vol.83 , pp. 550-558
    • Birn, R.M.1
  • 14
    • 84858138977 scopus 로고    scopus 로고
    • On the use of correlation as a measure of network connectivity
    • A. Zalesky, A. Fornito, and E. Bullmore, "On the use of correlation as a measure of network connectivity, " NeuroImage, vol. 60, no. 4, pp. 2096-2106, 2012.
    • (2012) NeuroImage , vol.60 , Issue.4 , pp. 2096-2106
    • Zalesky, A.1    Fornito, A.2    Bullmore, E.3
  • 15
    • 84994010501 scopus 로고    scopus 로고
    • Reliability of graph analysis of resting state fMRI using test-retest dataset from the human connectome project
    • Nov.
    • M. Termenon, A. Jaillard, C. Delon-Martin, and S. Achard, "Reliability of graph analysis of resting state fMRI using test-retest dataset from the human connectome project, " NeuroImage, vol. 142, pp. 172-187, Nov. 2016.
    • (2016) NeuroImage , vol.142 , pp. 172-187
    • Termenon, M.1    Jaillard, A.2    Delon-Martin, C.3    Achard, S.4
  • 16
    • 84924409523 scopus 로고    scopus 로고
    • Evaluating the reliability of different preprocessing steps to estimate graph theoretical measures in resting state fMRI data
    • Feb.
    • N. K. Aurich, J. O. A. Filho, A. M. M. da Silva, and A. R. Franco, "Evaluating the reliability of different preprocessing steps to estimate graph theoretical measures in resting state fMRI data, " Frontiers Neurosci., vol. 9, p. 48, Feb. 2015.
    • (2015) Frontiers Neurosci. , vol.9 , pp. 48
    • Aurich, N.K.1    Filho, J.O.A.2    Da Silva, A.M.M.3    Franco, A.R.4
  • 17
    • 84937129714 scopus 로고    scopus 로고
    • Test-retest reliability of graph metrics of resting state MRI functional brain networks: A review
    • Sep.
    • M. Andellini, V. Cannatà, S. Gazzellini, B. Bernardi, and A. Napolitano, "Test-retest reliability of graph metrics of resting state MRI functional brain networks: A review, " J. Neurosci. Methods, vol. 253, pp. 183-192, Sep. 2015.
    • (2015) J. Neurosci. Methods , vol.253 , pp. 183-192
    • Andellini, M.1    Cannatà, V.2    Gazzellini, S.3    Bernardi, B.4    Napolitano, A.5
  • 18
    • 84928136704 scopus 로고    scopus 로고
    • Is the brain really a small-world network?
    • C. C. Hilgetag and A. Goulas, "Is the brain really a small-world network?" Brain Struct. Function, vol. 221, no. 4, pp. 2361-2366, 2016.
    • (2016) Brain Struct. Function , vol.221 , Issue.4 , pp. 2361-2366
    • Hilgetag, C.C.1    Goulas, A.2
  • 21
    • 84940200497 scopus 로고    scopus 로고
    • The (in)stability of functional brain network measures across thresholds
    • Sep.
    • K. A. Garrison, D. Scheinost, E. S. Finn, X. Shen, and R. T. Constable, "The (in)stability of functional brain network measures across thresholds, " NeuroImage, vol. 118, pp. 651-661, Sep. 2015.
    • (2015) NeuroImage , vol.118 , pp. 651-661
    • Garrison, K.A.1    Scheinost, D.2    Finn, E.S.3    Shen, X.4    Constable, R.T.5
  • 22
    • 77954385460 scopus 로고    scopus 로고
    • Complex network measures of brain connectivity: Uses and interpretations
    • M. Rubinov and O. Sporns, "Complex network measures of brain connectivity: Uses and interpretations, " NeuroImage, vol. 52, no. 3, pp. 1059-1069, 2010.
    • (2010) NeuroImage , vol.52 , Issue.3 , pp. 1059-1069
    • Rubinov, M.1    Sporns, O.2
  • 23
    • 84934988285 scopus 로고    scopus 로고
    • Overcoming the effects of false positives and threshold bias in graph theoretical analyses of neuroimaging data
    • Sep.
    • M. Drakesmith, K. Caeyenberghs, A. Dutt, G. Lewis, A. David, and D. Jones, "Overcoming the effects of false positives and threshold bias in graph theoretical analyses of neuroimaging data, " NeuroImage, vol. 118, pp. 313-333, Sep. 2015.
    • (2015) NeuroImage , vol.118 , pp. 313-333
    • Drakesmith, M.1    Caeyenberghs, K.2    Dutt, A.3    Lewis, G.4    David, A.5    Jones, D.6
  • 24
    • 84961840066 scopus 로고    scopus 로고
    • Population inference for node level differences in multi-subject functional connectivity
    • Jun.
    • M. Narayan and G. I. Allen, "Population inference for node level differences in multi-subject functional connectivity, " in Proc. Int. Workshop Pattern Recognit. NeuroImaging (PRNI), Jun. 2015, pp. 53-56.
    • (2015) Proc. Int. Workshop Pattern Recognit. NeuroImaging (PRNI) , pp. 53-56
    • Narayan, M.1    Allen, G.I.2
  • 25
    • 84886863727 scopus 로고    scopus 로고
    • Analyzing complex functional brain networks: Fusing statistics and network science to understand the brain
    • Oct.
    • S. L. Simpson, F. D. Bowman, and P. J. Laurienti, "Analyzing complex functional brain networks: fusing statistics and network science to understand the brain, " Statist. Surveys, vol. 7, pp. 1-36, Oct. 2013.
    • (2013) Statist. Surveys , vol.7 , pp. 1-36
    • Simpson, S.L.1    Bowman, F.D.2    Laurienti, P.J.3
  • 27
    • 85032751862 scopus 로고    scopus 로고
    • Discovering the whole by the coarse: A topological paradigm for data analysis
    • Mar.
    • H. Krim, T. Gentimis, and H. Chintakunta, "Discovering the whole by the coarse: A topological paradigm for data analysis, " IEEE Signal Process. Mag., vol. 33, no. 2, pp. 95-104, Mar. 2016.
    • (2016) IEEE Signal Process. Mag. , vol.33 , Issue.2 , pp. 95-104
    • Krim, H.1    Gentimis, T.2    Chintakunta, H.3
  • 28
    • 84870481558 scopus 로고    scopus 로고
    • Persistent brain network homology from the perspective of dendrogram
    • Dec.
    • H. Lee, H. Kang, M. K. Chung, B.-N. Kim, and D. S. Lee, "Persistent brain network homology from the perspective of dendrogram, " IEEE Trans. Med. Imag., vol. 31, no. 12, pp. 2267-2277, Dec. 2012.
    • (2012) IEEE Trans. Med. Imag. , vol.31 , Issue.12 , pp. 2267-2277
    • Lee, H.1    Kang, H.2    Chung, M.K.3    Kim, B.-N.4    Lee, D.S.5
  • 29
    • 84928923288 scopus 로고    scopus 로고
    • Homological scaffolds of brain functional networks
    • G. Petri et al., "Homological scaffolds of brain functional networks, " J. Roy. Soc. Interface, vol. 11, no. 101, p. 20140873, 2014.
    • (2014) J. Roy. Soc. Interface , vol.11 , Issue.101 , pp. 20140873
    • Petri, G.1
  • 30
    • 84973617915 scopus 로고    scopus 로고
    • Two's company, three (or more) is a simplex
    • C. Giusti, R. Ghrist, and D. S. Bassett, "Two's company, three (or more) is a simplex, " J. Comput. Neurosci., vol. 41, no. 1, pp. 1-14, 2016.
    • (2016) J. Comput. Neurosci. , vol.41 , Issue.1 , pp. 1-14
    • Giusti, C.1    Ghrist, R.2    Bassett, D.S.3
  • 31
    • 84962798292 scopus 로고    scopus 로고
    • Topological persistence vineyard for dynamic functional brain connectivity during resting and gaming stages
    • Jul.
    • J. Yoo, E. Y. Kim, Y. M. Ahn, and J. C. Ye, "Topological persistence vineyard for dynamic functional brain connectivity during resting and gaming stages, " J. Neurosci. Methods, vol. 267, pp. 1-13, Jul. 2016.
    • (2016) J. Neurosci. Methods , vol.267 , pp. 1-13
    • Yoo, J.1    Kim, E.Y.2    Ahn, Y.M.3    Ye, J.C.4
  • 33
    • 84995529978 scopus 로고    scopus 로고
    • Insights into brain architectures from the homological scaffolds of functional connectivity networks
    • Nov.
    • L.-D. Lord et al., "Insights into brain architectures from the homological scaffolds of functional connectivity networks, " Frontiers Syst. Neurosci., vol. 10, p. 85, Nov. 2016.
    • (2016) Frontiers Syst. Neurosci. , vol.10 , pp. 85
    • Lord, L.-D.1
  • 35
    • 84921507282 scopus 로고    scopus 로고
    • The minimum spanning tree: An unbiased method for brain network analysis
    • Jan.
    • P. Tewarie, E. van Dellen, A. Hillebrand, and C. Stam, "The minimum spanning tree: An unbiased method for brain network analysis, " NeuroImage, vol. 104, pp. 177-188, Jan. 2014.
    • (2014) NeuroImage , vol.104 , pp. 177-188
    • Tewarie, P.1    Van Dellen, E.2    Hillebrand, A.3    Stam, C.4
  • 36
    • 84899939985 scopus 로고    scopus 로고
    • The trees and the forest: Characterization of complex brain networks with minimum spanning trees
    • C. Stam, P. Tewarie, E. Van Dellen, E. van Straaten, A. Hillebrand, and P. Van Mieghem, "The trees and the forest: Characterization of complex brain networks with minimum spanning trees, " Int. J. Psychophysiol., vol. 92, no. 3, pp. 129-138, 2014.
    • (2014) Int. J. Psychophysiol. , vol.92 , Issue.3 , pp. 129-138
    • Stam, C.1    Tewarie, P.2    Van Dellen, E.3    Van Straaten, E.4    Hillebrand, A.5    Van Mieghem, P.6
  • 37
    • 79953669487 scopus 로고    scopus 로고
    • Disrupted modularity and local connectivity of brain functional networks in childhood-onset schizophrenia
    • Feb.
    • A. F. Alexander-Bloch et al., "Disrupted modularity and local connectivity of brain functional networks in childhood-onset schizophrenia, " Frontiers Syst. Neurosci., vol. 4, p. 147, Feb. 2010.
    • (2010) Frontiers Syst. Neurosci. , vol.4 , pp. 147
    • Alexander-Bloch, A.F.1
  • 40
    • 84998887189 scopus 로고    scopus 로고
    • Persistence weighted Gaussian kernel for topological data analysis
    • G. Kusano, K. Fukumizu, and Y. Hiraoka, "Persistence weighted Gaussian kernel for topological data analysis, " in Proc. ICML, 2016, pp. 2004-2013.
    • (2016) Proc. ICML , pp. 2004-2013
    • Kusano, G.1    Fukumizu, K.2    Hiraoka, Y.3
  • 41
    • 84923901980 scopus 로고    scopus 로고
    • Statistical topological data analysis using persistence landscapes
    • P. Bubenik, "Statistical topological data analysis using persistence landscapes, " J. Mach. Learn. Res., vol. 16, no. 1, pp. 77-102, 2015.
    • (2015) J. Mach. Learn. Res. , vol.16 , Issue.1 , pp. 77-102
    • Bubenik, P.1
  • 42
    • 84908179508 scopus 로고    scopus 로고
    • Confidence sets for persistence diagrams
    • B. T. Fasy et al., "Confidence sets for persistence diagrams, " Ann. Statist., vol. 42, no. 6, pp. 2301-2339, 2014.
    • (2014) Ann. Statist. , vol.42 , Issue.6 , pp. 2301-2339
    • Fasy, B.T.1
  • 44
    • 85003443832 scopus 로고    scopus 로고
    • Integrated multimodal network approach to pet and MRI based on multidimensional persistent homology
    • H. Lee, H. Kang, M. K. Chung, S. Lim, B.-N. Kim, and D. S. Lee, "Integrated multimodal network approach to pet and MRI based on multidimensional persistent homology, " Human Brain Mapping, vol. 38, no. 3, pp. 1387-1402, 2017.
    • (2017) Human Brain Mapping , vol.38 , Issue.3 , pp. 1387-1402
    • Lee, H.1    Kang, H.2    Chung, M.K.3    Lim, S.4    Kim, B.-N.5    Lee, D.S.6
  • 47
    • 85009351665 scopus 로고    scopus 로고
    • Metrics in the space of high order networks
    • Feb.
    • W. Huang and A. Ribeiro, "Metrics in the space of high order networks, " IEEE Trans. Signal Process., vol. 64, no. 3, pp. 615-629, Feb. 2016.
    • (2016) IEEE Trans. Signal Process. , vol.64 , Issue.3 , pp. 615-629
    • Huang, W.1    Ribeiro, A.2
  • 52
    • 85018214577 scopus 로고    scopus 로고
    • Simplicial models and topological inference in biological systems
    • Berlin, Germany: Springer
    • V. Nanda and R. Sazdanovíc, "Simplicial models and topological inference in biological systems, " in Discrete and Topological Models in Molecular Biology. Berlin, Germany: Springer, 2014, pp. 109-141. [Online]. Available: https://doi. org/10. 1007/978-3-642-40193-0
    • (2014) Discrete and Topological Models in Molecular Biology , pp. 109-141
    • Nanda, V.1    Sazdanovíc, R.2
  • 53
    • 84926429478 scopus 로고    scopus 로고
    • Brain activity: Connectivity, sparsity, and mutual information
    • Apr.
    • B. Cassidy, C. Rae, and V. Solo, "Brain activity: Connectivity, sparsity, and mutual information, " IEEE Trans. Med. Imag., vol. 34, no. 4, pp. 846-860, Apr. 2015.
    • (2015) IEEE Trans. Med. Imag. , vol.34 , Issue.4 , pp. 846-860
    • Cassidy, B.1    Rae, C.2    Solo, V.3
  • 54
    • 84880332607 scopus 로고    scopus 로고
    • The minimal preprocessing pipelines for the Human Connectome Project
    • Oct.
    • M. F. Glasser et al., "The minimal preprocessing pipelines for the Human Connectome Project, " NeuroImage, vol. 80, pp. 105-124, Oct. 2013.
    • (2013) NeuroImage , vol.80 , pp. 105-124
    • Glasser, M.F.1
  • 55
    • 84880325951 scopus 로고    scopus 로고
    • Resting-state fMRI in the Human Connectome Project
    • Jun.
    • S. M. Smith et al., "Resting-state fMRI in the Human Connectome Project, " NeuroImage, vol. 80, pp. 144-168, Jun. 2013.
    • (2013) NeuroImage , vol.80 , pp. 144-168
    • Smith, S.M.1
  • 56
    • 78650936662 scopus 로고    scopus 로고
    • Multi-parametric neuroimaging reproducibility: A 3-t resource study
    • B. A. Landman et al., "Multi-parametric neuroimaging reproducibility: A 3-t resource study, " NeuroImage, vol. 54, no. 4, pp. 2854-2866, 2011.
    • (2011) NeuroImage , vol.54 , Issue.4 , pp. 2854-2866
    • Landman, B.A.1
  • 58
    • 84943270871 scopus 로고    scopus 로고
    • Brain networks and cognitive architectures
    • S. E. Petersen and O. Sporns, "Brain networks and cognitive architectures, " Neuron, vol. 88, no. 1, pp. 207-219, 2015.
    • (2015) Neuron , vol.88 , Issue.1 , pp. 207-219
    • Petersen, S.E.1    Sporns, O.2
  • 59
    • 84855422562 scopus 로고    scopus 로고
    • Altered resting state complexity in schizophrenia
    • D. S. Bassett, B. G. Nelson, B. A. Mueller, J. Camchong, and K. O. Lim, "Altered resting state complexity in schizophrenia, " NeuroImage, vol. 59, no. 3, pp. 2196-2207, 2012.
    • (2012) NeuroImage , vol.59 , Issue.3 , pp. 2196-2207
    • Bassett, D.S.1    Nelson, B.G.2    Mueller, B.A.3    Camchong, J.4    Lim, K.O.5
  • 60
    • 84903598153 scopus 로고    scopus 로고
    • Intrinsic and task-evoked network architectures of the human brain
    • M. W. Cole, D. S. Bassett, J. D. Power, T. S. Braver, and S. E. Petersen, "Intrinsic and task-evoked network architectures of the human brain, " Neuron, vol. 83, pp. 238-251, 2014.
    • (2014) Neuron , vol.83 , pp. 238-251
    • Cole, M.W.1    Bassett, D.S.2    Power, J.D.3    Braver, T.S.4    Petersen, S.E.5
  • 64
    • 66549116888 scopus 로고    scopus 로고
    • Partial correlation estimation by joint sparse regression models
    • J. Peng, P. Wang, N. Zhou, and J. Zhu, "Partial correlation estimation by joint sparse regression models, " J. Amer. Statist. Assoc., vol. 104, no. 486, pp. 735-746, 2009.
    • (2009) J. Amer. Statist. Assoc. , vol.104 , Issue.486 , pp. 735-746
    • Peng, J.1    Wang, P.2    Zhou, N.3    Zhu, J.4
  • 65
    • 45849134070 scopus 로고    scopus 로고
    • Sparse inverse covariance estimation with the graphical lasso
    • Jul.
    • J. Friedman, T. Hastie, and R. Tibshirani, "Sparse inverse covariance estimation with the graphical lasso, " Biostatistics, vol. 9, no. 3, pp. 432-441, Jul. 2008.
    • (2008) Biostatistics , vol.9 , Issue.3 , pp. 432-441
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 66
    • 84940907482 scopus 로고    scopus 로고
    • Persistent homology in sparse regression and its application to brain morphometry
    • Sep.
    • M. K. Chung, J. L. Hanson, J. Ye, R. J. Davidson, and S. D. Pollak, "Persistent homology in sparse regression and its application to brain morphometry, " IEEE Trans. Med. Imag., vol. 34, no. 9, pp. 1928-1939, Sep. 2015.
    • (2015) IEEE Trans. Med. Imag. , vol.34 , Issue.9 , pp. 1928-1939
    • Chung, M.K.1    Hanson, J.L.2    Ye, J.3    Davidson, R.J.4    Pollak, S.D.5


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