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Volumn 52, Issue 6, 2017, Pages 789-804

Network Mapping with GIMME

Author keywords

Connectivity; idiographic vs. nomothetic methods; intensive longitudinal data; time series analysis; unified structural equation modeling

Indexed keywords

ADULT; HUMAN; PIPELINE; PREDICTION; SCIENTIST; SENSITIVITY ANALYSIS; STRUCTURAL EQUATION MODELING; TIME SERIES ANALYSIS; AUTOMATED PATTERN RECOGNITION; LONGITUDINAL STUDY; PROCEDURES; SOFTWARE; STATISTICAL ANALYSIS; STATISTICAL MODEL; TIME FACTOR;

EID: 85034762565     PISSN: 00273171     EISSN: None     Source Type: Journal    
DOI: 10.1080/00273171.2017.1373014     Document Type: Article
Times cited : (106)

References (64)
  • 1
    • 79551627200 scopus 로고    scopus 로고
    • Human mobility networks, travel restrictions, and the global spread of 2009 H1N1 pandemic
    • Bajardi, P., Poletto, C., Ramasco, J. J., Tizzoni, M., Colizza, V., & Vespignani, A., (2011). Human mobility networks, travel restrictions, and the global spread of 2009 H1N1 pandemic. PLoS One, 6(1), article e16591. doi:10.1371/journal.pone.0016591
    • (2011) PLoS One , vol.6 , Issue.1
    • Bajardi, P.1    Poletto, C.2    Ramasco, J.J.3    Tizzoni, M.4    Colizza, V.5    Vespignani, A.6
  • 2
    • 84884994093 scopus 로고    scopus 로고
    • Mapping temporal dynamics in social interactions with unified structural equation modeling: A description and demonstration revealing time-dependent sex differences in play behavior
    • Beltz, A. M., Beekman, C., Molenaar, P. C. M., & Buss, K. A., (2013). Mapping temporal dynamics in social interactions with unified structural equation modeling: A description and demonstration revealing time-dependent sex differences in play behavior. Applied Developmental Science, 17(3), 152–168. doi:10.1080/10888691.2013.805953
    • (2013) Applied Developmental Science , vol.17 , Issue.3 , pp. 152-168
    • Beltz, A.M.1    Beekman, C.2    Molenaar, P.C.M.3    Buss, K.A.4
  • 3
    • 84873452188 scopus 로고    scopus 로고
    • Changes in alcohol-related brain networks across the first year of college: A prospective pilot study using fMRI effective connectivity mapping
    • Beltz, A. M., Gates, K. M., Engels, A. S., Molenaar, P. C. M., Pulido, C., Turrisi, R., … Wilson, S. J., (2013). Changes in alcohol-related brain networks across the first year of college: A prospective pilot study using fMRI effective connectivity mapping. Addictive Behaviors, 38(4), 2052–2059. doi:10.1016/j.addbeh.2012.12.023
    • (2013) Addictive Behaviors , vol.38 , Issue.4 , pp. 2052-2059
    • Beltz, A.M.1    Gates, K.M.2    Engels, A.S.3    Molenaar, P.C.M.4    Pulido, C.5    Turrisi, R.6    Wilson, S.J.7
  • 4
    • 84940784646 scopus 로고    scopus 로고
    • A posteriori model validation for the temporal order of directed functional connectivity maps
    • Beltz, A. M., & Molenaar, P. C. M., (2015). A posteriori model validation for the temporal order of directed functional connectivity maps. Frontiers in Neuroscience, 9, article 304. doi:10.3389/fnins.2015.00304
    • (2015) Frontiers in Neuroscience , vol.9 , pp. 304
    • Beltz, A.M.1    Molenaar, P.C.M.2
  • 5
    • 84964344940 scopus 로고    scopus 로고
    • Dealing with multiple solutions in structural vector autoregressive models
    • Beltz, A. M., & Molenaar, P. C. M., (2016). Dealing with multiple solutions in structural vector autoregressive models. Multivariate Behavioral Research, 51(2–3), 357–373. doi:10.1080/00273171.2016.1151333
    • (2016) Multivariate Behavioral Research , vol.51 , Issue.2-3 , pp. 357-373
    • Beltz, A.M.1    Molenaar, P.C.M.2
  • 6
    • 84978484031 scopus 로고    scopus 로고
    • Bridging the nomothetic and idiographic approaches to the analysis of clinical data
    • Beltz, A. M., Wright, A. G. C., Sprague, B. N., & Molenaar, P. C. M., (2016). Bridging the nomothetic and idiographic approaches to the analysis of clinical data. Assessment, 23(4), 447–458. doi:10.1177/1073191116648209
    • (2016) Assessment , vol.23 , Issue.4 , pp. 447-458
    • Beltz, A.M.1    Wright, A.G.C.2    Sprague, B.N.3    Molenaar, P.C.M.4
  • 10
    • 84875886272 scopus 로고    scopus 로고
    • Network analysis: An integrative approach to the structure of psychopathology
    • Borsboom, D., & Cramer, A. O. J., (2013). Network analysis: An integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91–121. doi:10.1146/annurev-clinpsy-050212-185608
    • (2013) Annual Review of Clinical Psychology , vol.9 , pp. 91-121
    • Borsboom, D.1    Cramer, A.O.J.2
  • 14
    • 84996593426 scopus 로고    scopus 로고
    • Clustering vector autoregressive models: Capturing qualitative differences in within-person dynamics
    • article 1540
    • Bulteel, K., Tuerlinckx, F., Brose, A., & Ceulemans, E., (2016). Clustering vector autoregressive models: Capturing qualitative differences in within-person dynamics. Frontiers in Psychology, 7, article 1540. doi:10.3389/fpsyg.2016.01540
    • (2016) Frontiers in Psychology , vol.7
    • Bulteel, K.1    Tuerlinckx, F.2    Brose, A.3    Ceulemans, E.4
  • 16
    • 85015097943 scopus 로고    scopus 로고
    • Generalized network psychometrics: Combining network and latent variable models
    • Epskamp, S., Rhemtulla, M., & Borsboom, D., (2017). Generalized network psychometrics: Combining network and latent variable models. Psychometrika. doi:10.1007/s11336-017-9557-x
    • (2017) Psychometrika
    • Epskamp, S.1    Rhemtulla, M.2    Borsboom, D.3
  • 17
    • 84945476498 scopus 로고    scopus 로고
    • Functional connectome fingerprinting: Identifying individuals using patterns of brain connectivity
    • Finn, E. S., Shen, X. L., Scheinost, D., Rosenberg, M. D., Huang, J., Chun, M. M., … Constable, R. T., (2015). Functional connectome fingerprinting: Identifying individuals using patterns of brain connectivity. Nature Neuroscience, 18(11), 1664–1671. doi:10.1038/nn.4135
    • (2015) Nature Neuroscience , vol.18 , Issue.11 , pp. 1664-1671
    • Finn, E.S.1    Shen, X.L.2    Scheinost, D.3    Rosenberg, M.D.4    Huang, J.5    Chun, M.M.6    Constable, R.T.7
  • 18
    • 0041924877 scopus 로고    scopus 로고
    • Dynamic causal modelling
    • Friston, K. J., Harrison, L., & Penny, W., (2003). Dynamic causal modelling. Neuroimage, 19(4), 1273–1302. doi:10.1016/s1053-8119(03)00202-7
    • (2003) Neuroimage , vol.19 , Issue.4 , pp. 1273-1302
    • Friston, K.J.1    Harrison, L.2    Penny, W.3
  • 19
    • 0033889353 scopus 로고    scopus 로고
    • To smooth or not to smooth? Bias and efficiency in fMRI time-series analysis
    • Friston, K. J., Josephs, O., Zarahn, E., Holmes, A. P., Rouquette, S., & Poline, J. B., (2000). To smooth or not to smooth? Bias and efficiency in fMRI time-series analysis. Neuroimage, 12(2), 196–208. doi:10.1006/nimg.2000.0609
    • (2000) Neuroimage , vol.12 , Issue.2 , pp. 196-208
    • Friston, K.J.1    Josephs, O.2    Zarahn, E.3    Holmes, A.P.4    Rouquette, S.5    Poline, J.B.6
  • 20
    • 84875866518 scopus 로고    scopus 로고
    • Analysing connectivity with Granger causality and dynamic causal modelling
    • Friston, K. J., Moran, R., & Seth, A. K., (2013). Analysing connectivity with Granger causality and dynamic causal modelling. Current Opinion in Neurobiology, 23(2), 172–178. doi:10.1016/j.conb.2012.11.010
    • (2013) Current Opinion in Neurobiology , vol.23 , Issue.2 , pp. 172-178
    • Friston, K.J.1    Moran, R.2    Seth, A.K.3
  • 22
    • 84864402054 scopus 로고    scopus 로고
    • Group search algorithm recovers effective connectivity maps for individuals in homogeneous and heterogeneous samples
    • Gates, K. M., & Molenaar, P. C. M., (2012). Group search algorithm recovers effective connectivity maps for individuals in homogeneous and heterogeneous samples. Neuroimage, 63(1), 310–319. doi:10.1016/j.neuroimage.2012.06.026
    • (2012) Neuroimage , vol.63 , Issue.1 , pp. 310-319
    • Gates, K.M.1    Molenaar, P.C.M.2
  • 23
    • 77249142250 scopus 로고    scopus 로고
    • Automatic search for fMRI connectivity mapping: An alternative to Granger causality testing using formal equivalences among SEM path modeling, VAR, and unified SEM
    • Gates, K. M., Molenaar, P. C. M., Hillary, F. G., Ram, N., & Rovine, M. J., (2010). Automatic search for fMRI connectivity mapping: An alternative to Granger causality testing using formal equivalences among SEM path modeling, VAR, and unified SEM. Neuroimage, 50(3), 1118–1125. doi:10.1016/j.neuroimage.2009.12.117
    • (2010) Neuroimage , vol.50 , Issue.3 , pp. 1118-1125
    • Gates, K.M.1    Molenaar, P.C.M.2    Hillary, F.G.3    Ram, N.4    Rovine, M.J.5
  • 24
    • 78649663945 scopus 로고    scopus 로고
    • Extended unified SEM approach for modeling event-related fMRI data
    • Gates, K. M., Molenaar, P. C. M., Hillary, F. G., & Slobounov, S., (2011). Extended unified SEM approach for modeling event-related fMRI data. Neuroimage, 54(2), 1151–1158. doi:10.1016/j.neuroimage.2010.08.051
    • (2011) Neuroimage , vol.54 , Issue.2 , pp. 1151-1158
    • Gates, K.M.1    Molenaar, P.C.M.2    Hillary, F.G.3    Slobounov, S.4
  • 25
    • 84898619004 scopus 로고    scopus 로고
    • Organizing heterogeneous samples using community detection of GIMME-derived resting state functional networks
    • Gates, K. M., Molenaar, P. C. M., Iyer, S. P., Nigg, J. T., & Fair, D. A., (2014). Organizing heterogeneous samples using community detection of GIMME-derived resting state functional networks. PLoS One, 9(3), article e91322. doi:10.1371/journal.pone.0091322
    • (2014) PLoS One , vol.9 , Issue.3
    • Gates, K.M.1    Molenaar, P.C.M.2    Iyer, S.P.3    Nigg, J.T.4    Fair, D.A.5
  • 26
    • 0000351727 scopus 로고
    • Investigating causal relations by economic models and cross-spectral methods
    • Granger, C. W. J., (1969). Investigating causal relations by economic models and cross-spectral methods Econometrica, 37(3), 424–438. doi:10.2307/1912791
    • (1969) Econometrica , vol.37 , Issue.3 , pp. 424-438
    • Granger, C.W.J.1
  • 27
    • 84928043145 scopus 로고    scopus 로고
    • Second language lexical development and cognitive control: A longitudinal fMRI study
    • Grant, A. M., Fang, S., & Li, P., (2015). Second language lexical development and cognitive control: A longitudinal fMRI study. Brain & Language, 144, 35–47. doi:10.1016/j.bandl.2015.03.010
    • (2015) Brain & Language , vol.144 , pp. 35-47
    • Grant, A.M.1    Fang, S.2    Li, P.3
  • 28
    • 27844472136 scopus 로고    scopus 로고
    • Statistical modeling of the individual: Rationale and application of multivariate stationary time series analysis
    • Hamaker, E. L., Dolan, C. V., & Molenaar, P. C., (2005). Statistical modeling of the individual: Rationale and application of multivariate stationary time series analysis. Multivariate Behavioral Research, 40(2), 207–233. doi:10.1207/s15327906mbr4002_3
    • (2005) Multivariate Behavioral Research , vol.40 , Issue.2 , pp. 207-233
    • Hamaker, E.L.1    Dolan, C.V.2    Molenaar, P.C.3
  • 29
    • 85034775502 scopus 로고    scopus 로고
    • Causal search procedures for fMRI: Review and suggestions
    • Henry, T., & Gates, K., (2017). Causal search procedures for fMRI: Review and suggestions. Behaviormetrika, 44(1), 193–225. doi: 10.1007/s41237-016-0010-8
    • (2017) Behaviormetrika , vol.44 , Issue.1 , pp. 193-225
    • Henry, T.1    Gates, K.2
  • 30
    • 84907706356 scopus 로고    scopus 로고
    • Examining network dynamics after traumatic brain injury using the extended unified SEM approach
    • Hillary, F. G., Medaglia, J. D., Gates, K. M., Molenaar, P. C., & Good, D. C., (2014). Examining network dynamics after traumatic brain injury using the extended unified SEM approach. Brain Imaging and Behavior, 8(3), 435–445. doi:10.1007/s11682-012-9205-0
    • (2014) Brain Imaging and Behavior , vol.8 , Issue.3 , pp. 435-445
    • Hillary, F.G.1    Medaglia, J.D.2    Gates, K.M.3    Molenaar, P.C.4    Good, D.C.5
  • 31
    • 79957518243 scopus 로고    scopus 로고
    • Examining working memory task acquisition in a disrupted neural network
    • Hillary, F. G., Medaglia, J. D., Gates, K., Molenaar, P. C., Slocomb, J., Peechatka, A., & Good, D. C., (2011). Examining working memory task acquisition in a disrupted neural network. Brain, 134, 1555–1570. doi:10.1093/brain/awr043
    • (2011) Brain , vol.134 , pp. 1555-1570
    • Hillary, F.G.1    Medaglia, J.D.2    Gates, K.3    Molenaar, P.C.4    Slocomb, J.5    Peechatka, A.6    Good, D.C.7
  • 32
    • 77954332545 scopus 로고    scopus 로고
    • What to do about missing values in time-series cross-section data
    • Honaker, J., & King, G., (2010). What to do about missing values in time-series cross-section data. American Journal of Political Science, 54(2), 561–581. doi: 10.1111/j.1540-5907.2010.00447.x
    • (2010) American Journal of Political Science , vol.54 , Issue.2 , pp. 561-581
    • Honaker, J.1    King, G.2
  • 33
    • 0003418565 scopus 로고
    • Skokie, IL: Scientific Software International, Inc
    • Jöreskog, K. G., & Sörbom, D., (1992). LISREL. Skokie, IL: Scientific Software International, Inc.
    • (1992) LISREL
    • Jöreskog, K.G.1    Sörbom, D.2
  • 34
    • 84898024408 scopus 로고    scopus 로고
    • Networks involved in olfaction and their dynamics using independent component analysis and unified structural equation modeling
    • Karunanayaka, P., Eslinger, P. J., Wang, J. L., Weitekamp, C. W., Molitoris, S., Gates, K. M., … Yang, Q. X., (2014). Networks involved in olfaction and their dynamics using independent component analysis and unified structural equation modeling. Human Brain Mapping, 35(5), 2055–2072. doi:10.1002/hbm.22312
    • (2014) Human Brain Mapping , vol.35 , Issue.5 , pp. 2055-2072
    • Karunanayaka, P.1    Eslinger, P.J.2    Wang, J.L.3    Weitekamp, C.W.4    Molitoris, S.5    Gates, K.M.6    Yang, Q.X.7
  • 35
    • 33846898773 scopus 로고    scopus 로고
    • Unified structural equation modeling approach for the analysis of multisubject, multivariate functional MRI data
    • Kim, J., Zhu, W., Chang, L., Bentler, P. M., & Ernst, T., (2007). Unified structural equation modeling approach for the analysis of multisubject, multivariate functional MRI data. Human Brain Mapping, 28(2), 85–93. doi:10.1002/hbm.20259
    • (2007) Human Brain Mapping , vol.28 , Issue.2 , pp. 85-93
    • Kim, J.1    Zhu, W.2    Chang, L.3    Bentler, P.M.4    Ernst, T.5
  • 36
    • 85018316296 scopus 로고    scopus 로고
    • Automated selection of robust individual-level structural equation models for time series data
    • Lane, S. T., & Gates, K. M., (2017). Automated selection of robust individual-level structural equation models for time series data. Structural Equation Modeling: A Multidisciplinary Journal, 24(5), 768–782. doi: 10.1080/10705511.2017.1309978
    • (2017) Structural Equation Modeling: A Multidisciplinary Journal , vol.24 , Issue.5 , pp. 768-782
    • Lane, S.T.1    Gates, K.M.2
  • 38
    • 84942121733 scopus 로고    scopus 로고
    • iVAR: A program for imputing missing data in multivariate time series using vector autoregressive models
    • Liu, S. W., & Molenaar, P. C. M., (2014). iVAR: A program for imputing missing data in multivariate time series using vector autoregressive models. Behavior Research Methods, 46(4), 1138–1148. doi:10.3758/s13428-014-0444-4
    • (2014) Behavior Research Methods , vol.46 , Issue.4 , pp. 1138-1148
    • Liu, S.W.1    Molenaar, P.C.M.2
  • 39
    • 0030030722 scopus 로고    scopus 로고
    • The Cholesky approach: A cautionary note
    • Loehlin, J. C., (1996). The Cholesky approach: A cautionary note. Behavior Genetics, 26(1), 65–69. doi:10.1007/BF02361160
    • (1996) Behavior Genetics , vol.26 , Issue.1 , pp. 65-69
    • Loehlin, J.C.1
  • 41
    • 0001348083 scopus 로고
    • Model modifications in covariance structure analysis: The problem of capitalization on chance
    • MacCallum, R. C., Roznowski, M., & Necowitz, L. B., (1992). Model modifications in covariance structure analysis: The problem of capitalization on chance. Psychological Bulletin, 111(3), 490–504. doi:10.1037//0033-2909.111.3.490
    • (1992) Psychological Bulletin , vol.111 , Issue.3 , pp. 490-504
    • MacCallum, R.C.1    Roznowski, M.2    Necowitz, L.B.3
  • 42
    • 0027636564 scopus 로고
    • The problem of equivalent models in applications of covariance structure analysis
    • MacCallum, R. C., Wegener, D. T., Uchino, B. N., & Fabrigar, L. R., (1993). The problem of equivalent models in applications of covariance structure analysis. Psychological Bulletin, 114(1), 185–199. doi:10.1037/0033-2909.114.1.185
    • (1993) Psychological Bulletin , vol.114 , Issue.1 , pp. 185-199
    • MacCallum, R.C.1    Wegener, D.T.2    Uchino, B.N.3    Fabrigar, L.R.4
  • 43
    • 33746412678 scopus 로고    scopus 로고
    • Statistical equivalence, semantic equivalence, eliminative induction, and the Raykov-Marcoulides proof of infinite equivalence
    • Markus, K. A., (2002). Statistical equivalence, semantic equivalence, eliminative induction, and the Raykov-Marcoulides proof of infinite equivalence. Structural Equation Modeling: A Multidisciplinary Journal, 9(4), 503–522. doi:10.1207/s15328007sem0904_3
    • (2002) Structural Equation Modeling: A Multidisciplinary Journal , vol.9 , Issue.4 , pp. 503-522
    • Markus, K.A.1
  • 44
    • 84875379930 scopus 로고    scopus 로고
    • Natick, MA: The Mathworks,Inc
    • Mathworks. (2015). Matlab. Natick, MA: The Mathworks,Inc.
    • (2015) Matlab
  • 45
    • 0000312259 scopus 로고
    • A dynamic factor model for the analysis of multivariate time series
    • Molenaar, P. C., (1985). A dynamic factor model for the analysis of multivariate time series. Psychomerika, 50(2), 181–202. doi:10.1007/BF02294246
    • (1985) Psychomerika , vol.50 , Issue.2 , pp. 181-202
    • Molenaar, P.C.1
  • 46
    • 32544452484 scopus 로고    scopus 로고
    • A manifesto on psychology as idiographic science: Bringing the person back into scientific psychology, this time forever
    • Molenaar, P. C. M., (2004). A manifesto on psychology as idiographic science: Bringing the person back into scientific psychology, this time forever. Measurement, 2(4), 201–218. doi:10.1207/s15366359mea0204_1
    • (2004) Measurement , vol.2 , Issue.4 , pp. 201-218
    • Molenaar, P.C.M.1
  • 47
  • 48
    • 85128660809 scopus 로고    scopus 로고
    • Alternative forms of Granger causality, heterogeneity and non-stationarity
    • von Eye A., Wiedermann W., (eds), Hoboken, NJ: Wiley, &,. In, (eds
    • Molenaar, P. C. M., & Lo, L. L., (2016). Alternative forms of Granger causality, heterogeneity and non-stationarity. In A., von Eye & W., Wiedermann (eds.), Statistics and causality (pp. 205–230). Hoboken, NJ: Wiley.
    • (2016) Statistics and causality , pp. 205-230
    • Molenaar, P.C.M.1    Lo, L.L.2
  • 49
    • 84906318182 scopus 로고    scopus 로고
    • Greater BOLD activity but more efficient connectivity is associated with better cognitive performance within a sample of nicotine-deprived smokers
    • Nichols, T. T., Gates, K. M., Molenaar, P. C. M., & Wilson, S. J., (2014). Greater BOLD activity but more efficient connectivity is associated with better cognitive performance within a sample of nicotine-deprived smokers. Addiction Biology, 19(5), 931–940. doi:10.1111/adb.12060
    • (2014) Addiction Biology , vol.19 , Issue.5 , pp. 931-940
    • Nichols, T.T.1    Gates, K.M.2    Molenaar, P.C.M.3    Wilson, S.J.4
  • 50
    • 85001032963 scopus 로고    scopus 로고
    • Parsing heterogeneity in the brain connectivity of depressed and healthy adults during positive mood
    • Price, R. B., Lane, S., Gates, K. M., Kraynak, T. E., Horner, M. S., Thase, M. E., & Siegle, G. J., (2017). Parsing heterogeneity in the brain connectivity of depressed and healthy adults during positive mood. Biological Psychiatry, 81(4), 347–357. doi:10.1016/j.biopsych.2016.06.023
    • (2017) Biological Psychiatry , vol.81 , Issue.4 , pp. 347-357
    • Price, R.B.1    Lane, S.2    Gates, K.M.3    Kraynak, T.E.4    Horner, M.S.5    Thase, M.E.6    Siegle, G.J.7
  • 52
    • 80052148144 scopus 로고    scopus 로고
    • Multi-subject search correctly identifies causal connections and most causal directions in the DCM models of the Smith et al. simulation study
    • Ramsey, J. D., Hanson, S. J., & Glymour, C., (2011). Multi-subject search correctly identifies causal connections and most causal directions in the DCM models of the Smith et al. simulation study. Neuroimage, 58(3), 838–848. doi:10.1016/j.neuroimage.2011.06.068
    • (2011) Neuroimage , vol.58 , Issue.3 , pp. 838-848
    • Ramsey, J.D.1    Hanson, S.J.2    Glymour, C.3
  • 53
    • 23444459763 scopus 로고
    • Effects of missing data on the statistical analysis of clinical time series
    • Rankin, E. D., & Marsh, J. C., (1985). Effects of missing data on the statistical analysis of clinical time series. Social Work Research & Abstracts, 21(2), 13–16. doi:dOi.org/10.1093/swra/21.2.13
    • (1985) Social Work Research & Abstracts , vol.21 , Issue.2 , pp. 13-16
    • Rankin, E.D.1    Marsh, J.C.2
  • 54
    • 0036834243 scopus 로고    scopus 로고
    • Co-rumination in the friendships of girls and boys
    • Rose, A. J., (2002). Co-rumination in the friendships of girls and boys. Child Development, 73(6), 1830–1843. doi:10.1111/1467-8624.00509
    • (2002) Child Development , vol.73 , Issue.6 , pp. 1830-1843
    • Rose, A.J.1
  • 55
    • 77954385460 scopus 로고    scopus 로고
    • Complex network measures of brain connectivity: Uses and interpretations
    • Rubinov, M., & Sporns, O., (2010). Complex network measures of brain connectivity: Uses and interpretations. Neuroimage, 52(3), 1059–1069. doi:10.1016/j.neuroimage.2009.10.003
    • (2010) Neuroimage , vol.52 , Issue.3 , pp. 1059-1069
    • Rubinov, M.1    Sporns, O.2
  • 56
    • 84862999728 scopus 로고    scopus 로고
    • The future of FMRI connectivity
    • Smith, S. M., (2012). The future of FMRI connectivity. Neuroimage, 62(2), 1257–1266. doi:10.1016/j.neuroimage.2012.01.022
    • (2012) Neuroimage , vol.62 , Issue.2 , pp. 1257-1266
    • Smith, S.M.1
  • 58
    • 0000721024 scopus 로고
    • Model modification
    • Sörbom, D., (1989). Model modification. Psychometrika, 54(3), 371–384. doi:10.1007/bf02294623
    • (1989) Psychometrika , vol.54 , Issue.3 , pp. 371-384
    • Sörbom, D.1
  • 60
    • 74049156284 scopus 로고    scopus 로고
    • Intrinsic functional connectivity as a tool for human connectomics: Theory, properties, and optimization
    • Van Dijk, K. R. A., Hedden, T., Venkataraman, A., Evans, K. C., Lazar, S. W., & Buckner, R. L., (2010). Intrinsic functional connectivity as a tool for human connectomics: Theory, properties, and optimization. Journal of Neurophysiology, 103(1), 297–321. doi:10.1152/jn.00783.2009
    • (2010) Journal of Neurophysiology , vol.103 , Issue.1 , pp. 297-321
    • Van Dijk, K.R.A.1    Hedden, T.2    Venkataraman, A.3    Evans, K.C.4    Lazar, S.W.5    Buckner, R.L.6
  • 61
    • 0035212159 scopus 로고    scopus 로고
    • Temporal autocorrelation in univariate linear modeling of FMRI data
    • Woolrich, M. W., Ripley, B. D., Brady, M., & Smith, S. M., (2001). Temporal autocorrelation in univariate linear modeling of FMRI data. Neuroimage, 14(6), 1370–1386. doi:10.1006/nimg.2001.0931
    • (2001) Neuroimage , vol.14 , Issue.6 , pp. 1370-1386
    • Woolrich, M.W.1    Ripley, B.D.2    Brady, M.3    Smith, S.M.4
  • 62
    • 84918524087 scopus 로고    scopus 로고
    • Neural changes underlying successful second language word learning: An fMRI study
    • Yang, J., Gates, K. M., Molenaar, P., & Li, P., (2015). Neural changes underlying successful second language word learning: An fMRI study. Journal of Neurolinguistics, 33, 29–49. doi:10.1016/j.jneuroling.2014.09.004
    • (2015) Journal of Neurolinguistics , vol.33 , pp. 29-49
    • Yang, J.1    Gates, K.M.2    Molenaar, P.3    Li, P.4
  • 63
    • 84961894425 scopus 로고    scopus 로고
    • The first day is always the hardest: Functional connectivity during cue exposure and the ability to resist smoking in the initial hours of a quit attempt
    • Zelle, S. L., Gates, K. M., Fiez, J. A., Sayette, M. A., & Wilson, S. J., (2016). The first day is always the hardest: Functional connectivity during cue exposure and the ability to resist smoking in the initial hours of a quit attempt. Neuroimage, 151, 24–32. doi:10.1016/j.neuroimage.2016.03.015
    • (2016) Neuroimage , vol.151 , pp. 24-32
    • Zelle, S.L.1    Gates, K.M.2    Fiez, J.A.3    Sayette, M.A.4    Wilson, S.J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.