{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T22:49:15Z","timestamp":1773269355761,"version":"3.50.1"},"reference-count":44,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2012,10,24]],"date-time":"2012-10-24T00:00:00Z","timestamp":1351036800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neuroinform"],"published-print":{"date-parts":[[2013,1]]},"DOI":"10.1007\/s12021-012-9168-8","type":"journal-article","created":{"date-parts":[[2012,10,23]],"date-time":"2012-10-23T14:37:32Z","timestamp":1351003052000},"page":"105-118","source":"Crossref","is-referenced-by-count":5,"title":["A Least Trimmed Square Regression Method for Second Level fMRI Effective Connectivity Analysis"],"prefix":"10.1007","volume":"11","author":[{"given":"Xingfeng","family":"Li","sequence":"first","affiliation":[]},{"given":"Damien","family":"Coyle","sequence":"additional","affiliation":[]},{"given":"Liam","family":"Maguire","sequence":"additional","affiliation":[]},{"given":"Thomas Martin","family":"McGinnity","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2012,10,24]]},"reference":[{"issue":"3","key":"9168_CR1","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.jmva.2006.06.005","volume":"99","author":"J Agull\u00f3","year":"2008","unstructured":"Agull\u00f3, J., Croux, C., & Van Aelst, S. (2008). The multivariate least-trimmed squares estimator. Journal of Multivariate Analysis, 99(3), 311\u2013338.","journal-title":"Journal of Multivariate Analysis"},{"issue":"6","key":"9168_CR2","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1109\/TAC.1974.1100705","volume":"19","author":"H Akaike","year":"1974","unstructured":"Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19(6), 716\u2013723.","journal-title":"IEEE Transactions on Automatic Control"},{"key":"9168_CR3","unstructured":"Anderson, T. W. (1984). An introduction to multivariate statistical analysis (2nd ed.). New York: John Wiley & Sons, Inc."},{"key":"9168_CR4","doi-asserted-by":"crossref","first-page":"884","DOI":"10.1016\/j.neuroimage.2009.11.060","volume":"52","author":"G Deshpande","year":"2010","unstructured":"Deshpande, G., Sathian, K., & Hu, X. (2010). Effect of hemodynamic variability on Granger analysis of fMRI. Neuroimage, 52, 884\u2013896.","journal-title":"Neuroimage"},{"issue":"5","key":"9168_CR5","doi-asserted-by":"crossref","first-page":"454","DOI":"10.1093\/cercor\/10.5.454","volume":"10","author":"S Dumoulin","year":"2000","unstructured":"Dumoulin, S., Bitter, R. G., Kabani, N. J., Baker, C. L., Goualher, G. L., Pike, G. B., & Evans, A. C. (2000). A new anatomical landmark for reliable identification of human area V5\/MT: a quantitative analysis of sulcal patterning. Cerebral Cortex, 10(5), 454\u2013463.","journal-title":"Cerebral Cortex"},{"issue":"2","key":"9168_CR6","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1214\/009053604000000067","volume":"32","author":"B Efron","year":"2004","unstructured":"Efron, B., Hastie, T., Johnstone, I., & Tibshirani, R. (2004). Least angle regression. The Annals of Statistics, 32(2), 407\u2013499.","journal-title":"The Annals of Statistics"},{"key":"9168_CR7","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1093\/cercor\/7.2.181","volume":"7","author":"S Engel","year":"1997","unstructured":"Engel, S., Glover, G. H., & Wandell, B. A. (1997). Retinotopic organization in human visual cortex and the spatial precision of functional MRI. Cereb Cortex, 7, 181\u2013192.","journal-title":"Cereb Cortex"},{"issue":"3","key":"9168_CR8","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1007\/s10439-008-9441-z","volume":"36","author":"L Faes","year":"2008","unstructured":"Faes, L., Nollo, G., & Chon, K. H. (2008). Assessment of Granger causality by nonlinear model identification: application to short-term cardiovascular variability. Annals of biomedical engineering, 36(3), 381\u2013395.","journal-title":"Annals of biomedical engineering"},{"key":"9168_CR9","doi-asserted-by":"crossref","first-page":"244","DOI":"10.1016\/j.neuroimage.2004.08.055","volume":"24","author":"KJ Friston","year":"2005","unstructured":"Friston, K. J., Stephan, K. E., Lund, T. E., Morcom, A., & Kiebel, S. (2005). Mixed-effects and fMRI studies. Neuroimage, 24, 244\u2013252.","journal-title":"Neuroimage"},{"key":"9168_CR10","doi-asserted-by":"crossref","first-page":"424","DOI":"10.2307\/1912791","volume":"37","author":"C Granger","year":"1969","unstructured":"Granger, C. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37, 424\u2013438.","journal-title":"Econometrica"},{"key":"9168_CR11","doi-asserted-by":"crossref","first-page":"1477","DOI":"10.1016\/S1053-8119(03)00160-5","volume":"19","author":"L Harrison","year":"2003","unstructured":"Harrison, L., Penny, W. D., & Friston, K. J. (2003). Multivariate autoregressive modeling of fMRI time series. Neuroimage, 19, 1477\u20131491.","journal-title":"Neuroimage"},{"issue":"358","key":"9168_CR12","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1080\/01621459.1977.10480998","volume":"72","author":"JA Harville","year":"1977","unstructured":"Harville, J. A. (1977). Maximum likelihood approaches to variances component estimation and to related problems. Journal of the American Statistical Association, 72(358), 320\u2013340.","journal-title":"Journal of the American Statistical Association"},{"key":"9168_CR13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1214\/07-EJS004","volume":"1","author":"T Hastie","year":"2007","unstructured":"Hastie, T., Taylor, J., Tibshirani, R., & Walther, G. (2007). Forward stagewise regression and the monotone lasso. Electronic Journal of Statistics, 1, 1\u201329.","journal-title":"Electronic Journal of Statistics"},{"key":"9168_CR14","doi-asserted-by":"crossref","unstructured":"Hastie, T., Tibshirani, R., & Friedman, J. (2009). The elements of statistical learning: data mining, inference, and prediction (2nd ed.). New York: Springer.","DOI":"10.1007\/978-0-387-84858-7"},{"key":"9168_CR15","doi-asserted-by":"crossref","first-page":"1064","DOI":"10.1111\/j.1460-9568.2009.06650.x","volume":"29","author":"RF Hess","year":"2009","unstructured":"Hess, R. F., Thompson, B., Gole, G., & Mullen, K. T. (2009). Deficient responsed from the lateral geniculate nucleus in humans with amblyopia. European Journal of Neuroscience, 29, 1064\u20131070.","journal-title":"European Journal of Neuroscience"},{"issue":"5","key":"9168_CR16","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1214\/aos\/1176342503","volume":"1","author":"PJ Huber","year":"1973","unstructured":"Huber, P. J. (1973). Robust regression: asymptotics, conjectures and Monte Carlo. Annals of Statistics, 1(5), 799\u2013821.","journal-title":"Annals of Statistics"},{"key":"9168_CR17","doi-asserted-by":"crossref","unstructured":"Huber, P. J. (1981). Robust statistics: Wiley-interscience. New York: John Wiley & Sons.","DOI":"10.1002\/0471725250"},{"issue":"1","key":"9168_CR18","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1002\/wics.61","volume":"2","author":"M Hubert","year":"2010","unstructured":"Hubert, M., & Debruyne, M. (2010). Minimum covariance determinant. Wiley Interdisciplinary Reviews: Computational Statistics, 2(1), 36\u201343.","journal-title":"Wiley Interdisciplinary Reviews: Computational Statistics"},{"issue":"1","key":"9168_CR19","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1214\/088342307000000087","volume":"23","author":"M Hubert","year":"2008","unstructured":"Hubert, M., Rousseeuw, P. J., & Aelst, S. V. (2008). High-breakdown robust multivariate methods. Statistical Science, 23(1), 92\u2013119.","journal-title":"Statistical Science"},{"issue":"3","key":"9168_CR20","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/0165-1684(94)90215-1","volume":"35","author":"PP Kanjilal","year":"1994","unstructured":"Kanjilal, P. P., & Palit, S. (1994). The singular value decomposition\u2014Applied in the modelling and prediction of quasiperiodic processes. Signal Processing, 35(3), 257\u2013267.","journal-title":"Signal Processing"},{"issue":"12","key":"9168_CR21","doi-asserted-by":"crossref","first-page":"3121","DOI":"10.1016\/j.csda.2010.01.031","volume":"54","author":"JA Khan","year":"2010","unstructured":"Khan, J. A., Van Aelst, S., & Zamar, R. H. (2010). Fast robust estimation of prediction error based on resampling. Computational Statistics & Data Analysis, 54(12), 3121\u20133130.","journal-title":"Computational Statistics & Data Analysis"},{"key":"9168_CR22","doi-asserted-by":"crossref","first-page":"962","DOI":"10.1016\/S1053-8119(03)00340-9","volume":"20","author":"PJ Lahaye","year":"2003","unstructured":"Lahaye, P. J., Poline, J. B., Flandin, G., Dodel, S., & Garneo, L. (2003). Functional connectivity: study nonlinear delayed interactions between BOLD signals. Neuroimage, 20, 962\u2013974.","journal-title":"Neuroimage"},{"key":"9168_CR23","doi-asserted-by":"crossref","first-page":"1575","DOI":"10.1167\/iovs.06-1021","volume":"48","author":"X Li","year":"2007","unstructured":"Li, X., Dumoulin, S. O., Mansouri, B., & Hess, R. F. (2007a). Cortical deficits in human amblyopia: their regional distribution and their relationship to the contrast detection deficit. Investigative Ophthalmology and Visual Science, 48, 1575\u20131591.","journal-title":"Investigative Ophthalmology and Visual Science"},{"issue":"5","key":"9168_CR24","doi-asserted-by":"crossref","first-page":"1265","DOI":"10.1111\/j.1460-9568.2007.05356.x","volume":"25","author":"X Li","year":"2007","unstructured":"Li, X., Dumoulin, S. O., Mansouri, B., & Hess, R. F. (2007b). The fidelity of the cortical retinotopic map in human amblyopia. European Journal of Neuroscience, 25(5), 1265\u20131277.","journal-title":"European Journal of Neuroscience"},{"issue":"2","key":"9168_CR25","doi-asserted-by":"crossref","first-page":"1390","DOI":"10.1016\/j.neuroimage.2010.05.017","volume":"52","author":"X Li","year":"2010","unstructured":"Li, X., Coyle, D., Maguire, L., McGinnity, T. M., Watson, D. R., & Benali, H. (2010a). A least angle regression method for fMRI activation detection for phase-encoded experimental designs. Neuroimage, 52(2), 1390\u20131400.","journal-title":"Neuroimage"},{"issue":"1","key":"9168_CR26","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.media.2009.09.005","volume":"14","author":"X Li","year":"2010","unstructured":"Li, X., Marrelec, G., Hess, R. F., & Benali, H. (2010b). A nonlinear identification method to study effective connectivity in functional MRI. Medical Image Analysis, 14(1), 30\u201338.","journal-title":"Medical Image Analysis"},{"issue":"7","key":"9168_CR27","doi-asserted-by":"crossref","first-page":"1365","DOI":"10.1109\/TMI.2011.2116034","volume":"30","author":"X Li","year":"2011","unstructured":"Li, X., Coyle, D., Maguire, L., & McGinnity, T. M. (2011). A model selection method for nonlinear system identification based fMRI effective connectivity analysis. IEEE Transactions on Medical Imaging, 30(7), 1365\u20131380.","journal-title":"IEEE Transactions on Medical Imaging"},{"key":"9168_CR28","unstructured":"Lynch, M., & Bruce, W.. (1998). Genetics and analysis of quantitative traits. Sunderland, Massachusetts, 01375 U.S.A.: Sinauer Associates, Inc."},{"key":"9168_CR29","doi-asserted-by":"crossref","unstructured":"Maronna R. A., Martin, R. D., Yohai, V. J. (2006). Robust statistics theory and methods, Wiley Series in Probability and Statistics. UK: John Wiley & Sons, Ltd.","DOI":"10.1002\/0470010940"},{"key":"9168_CR30","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1137\/0111030","volume":"11","author":"D Marquardt","year":"1963","unstructured":"Marquardt, D. (1963). An Algorithm for Least-Squares Estimation of Nonlinear Parameters. SIAM Journal of Applied Mathematics, 11, 431\u2013441.","journal-title":"SIAM Journal of Applied Mathematics"},{"key":"9168_CR31","doi-asserted-by":"crossref","first-page":"1911","DOI":"10.1111\/j.1460-9568.2008.06476.x","volume":"28","author":"KT Mullen","year":"2008","unstructured":"Mullen, K. T., Dumoulin, S. O., & Hess, R. F. (2008). Color responses of the human lateral geniculate nucleus: selective amplification of S-cone signals between the lateral geniculate nucleno and primary visual cortex measured with high-field fMRI. European Journal Neuroscience, 28, 1911\u20131923.","journal-title":"European Journal Neuroscience"},{"key":"9168_CR32","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.pneurobio.2005.10.003","volume":"77","author":"E Pereda","year":"2005","unstructured":"Pereda, E., Quiroga, R. Q., & Bhattacharya, J. (2005). Nonlinear multivariate analysis of neurophysiological signals. Progress in neurobiology, 77, 1\u201337.","journal-title":"Progress in neurobiology"},{"key":"9168_CR33","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1016\/j.neuroimage.2004.11.017","volume":"25","author":"A Roebroeck","year":"2005","unstructured":"Roebroeck, A., Formisano, E., & Goebel, R. (2005). Mapping directed influence over the brain using Ganger causality and fMRI. Neuroimage, 25, 230\u2013242.","journal-title":"Neuroimage"},{"issue":"388","key":"9168_CR34","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1080\/01621459.1984.10477105","volume":"79","author":"PJ Rousseeuw","year":"1984","unstructured":"Rousseeuw, P. J. (1984). Least median of squares regression. Journal of the American Statistical Association, 79(388), 871\u2013880.","journal-title":"Journal of the American Statistical Association"},{"issue":"3","key":"9168_CR35","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1080\/00401706.1999.10485670","volume":"41","author":"PJ Rousseeuw","year":"1999","unstructured":"Rousseeuw, P. J., & Driessen, K. V. (1999). A fast algorithm for the minimum covariance determinant estimator. Technometrics, 41(3), 212\u2013223.","journal-title":"Technometrics"},{"issue":"1","key":"9168_CR36","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1007\/s10618-005-0024-4","volume":"12","author":"P Rousseeuw","year":"2006","unstructured":"Rousseeuw, P., & Van Driessen, K. (2006). Computing LTS Regression for Large Data Sets. Data Mining and Knowledge Discovery, 12(1), 29\u201345.","journal-title":"Data Mining and Knowledge Discovery"},{"issue":"3","key":"9168_CR37","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1198\/004017004000000329","volume":"46","author":"PJ Rousseeuw","year":"2004","unstructured":"Rousseeuw, P. J., Aelst, S. V., Driessen, K. V., & Agull\u00f3, J. (2004). Robust mutivariate regression. Technometrics, 46(3), 293\u2013305.","journal-title":"Technometrics"},{"key":"9168_CR38","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316856","volume-title":"Variance components","author":"S Searle","year":"1992","unstructured":"Searle, S., Casella, G., & McCulloch, C. (1992). Variance components. New York: Wiley."},{"key":"9168_CR39","doi-asserted-by":"crossref","DOI":"10.1002\/9780471722199","volume-title":"Linear regression analysis","author":"G Seber","year":"2003","unstructured":"Seber, G., & Lee, A. J. (2003). Linear regression analysis. New York: Wiley-Interscience."},{"key":"9168_CR40","doi-asserted-by":"crossref","first-page":"889","DOI":"10.1126\/science.7754376","volume":"268","author":"M Sereno","year":"1995","unstructured":"Sereno, M., Dale, A. M., Reppas, J. B., Kwong, K. K., Belliveau, J. W., Brady, T. J., Rosen, B. R., & Tootell, R. B. (1995). Borders of multiple visual areas in humans revealed by functional magnetic resonance imaging. Science, 268, 889\u2013893.","journal-title":"Science"},{"key":"9168_CR41","doi-asserted-by":"crossref","first-page":"969","DOI":"10.1098\/rstb.2005.1654","volume":"360","author":"P Valdes-Sosa","year":"2005","unstructured":"Valdes-Sosa, P., Sanchez-Bornot, J. M., Lage-Castellanos, A., Vega-Hernandez, M., Bosch-Bayard, J., Melie-Carcia, L., & Canales-Rodriguez, E. (2005). Estimating brain functional connectivity with spare multivariate autoregression. Philosophical Transactions of the Royal Society B, 360, 969\u2013981.","journal-title":"Philosophical Transactions of the Royal Society B"},{"issue":"2","key":"9168_CR42","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/j.neuroimage.2011.03.058","volume":"58","author":"P Valdes-Sosa","year":"2011","unstructured":"Valdes-Sosa, P., Roebroeck, A., Daunizeau, J., & Friston, K. (2011). Effective connectivity: influence, causality and biophysical modeling. Neuroimage, 58(2), 339\u2013361.","journal-title":"Neuroimage"},{"issue":"4","key":"9168_CR43","doi-asserted-by":"crossref","first-page":"1665","DOI":"10.1006\/nimg.2002.1304","volume":"17","author":"J Warnking","year":"2002","unstructured":"Warnking, J., Dojat, M., Gu\u00e9rie-Dugu\u00e9, A., Delon-Martin, C., Olympieff, S., Richard, N., Chehikian, A., & Segebarth, C. (2002). fMRI retinotopic mapping-step by step. NeuroImage, 17(4), 1665\u20131683.","journal-title":"NeuroImage"},{"issue":"4","key":"9168_CR44","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1016\/j.csda.2004.03.018","volume":"48","author":"G Willems","year":"2005","unstructured":"Willems, G., & Van Aelst, S. (2005). Fast and robust bootstrap for LTS. Computational Statistics & Data Analysis, 48(4), 703\u2013715.","journal-title":"Computational Statistics & Data Analysis"}],"container-title":["Neuroinformatics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12021-012-9168-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12021-012-9168-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12021-012-9168-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,4]],"date-time":"2019-07-04T22:55:31Z","timestamp":1562280931000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12021-012-9168-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,10,24]]},"references-count":44,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2013,1]]}},"alternative-id":["9168"],"URL":"https:\/\/doi.org\/10.1007\/s12021-012-9168-8","relation":{},"ISSN":["1539-2791","1559-0089"],"issn-type":[{"value":"1539-2791","type":"print"},{"value":"1559-0089","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012,10,24]]}}}