{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T16:15:30Z","timestamp":1767888930175,"version":"3.49.0"},"reference-count":14,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2019,12,3]],"date-time":"2019-12-03T00:00:00Z","timestamp":1575331200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2019,12,3]],"date-time":"2019-12-03T00:00:00Z","timestamp":1575331200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"University Medical Center Utrecht"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neuroinform"],"published-print":{"date-parts":[[2020,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>For some experimental approaches in brain imaging, the existing normalization techniques are not always sufficient. This may be the case if the anatomical shape of the region of interest varies substantially across subjects, or if one needs to compare the left and right hemisphere in the same subject. Here we propose a new standard representation, building upon existing normalization methods: Cgrid (Cartesian geometric representation with isometric dimensions). Cgrid is based on imposing a Cartesian grid over a cortical region of interest that is bounded by anatomical (atlas-based) landmarks. We applied this new representation to the sensorimotor cortex and we evaluated its performance by studying the similarity of activation patterns for hand, foot and tongue movements between subjects, and similarity between hemispheres within subjects. The Cgrid similarities were benchmarked against the similarities of activation patterns when transformed into standard MNI space using SPM, and to similarities from FreeSurfer\u2019s surface-based normalization. For both between-subject and between-hemisphere comparisons, similarity scores in Cgrid were high, similar to those from FreeSurfer normalization and higher than similarity scores from SPM\u2019s MNI normalization. This indicates that Cgrid allows for a straightforward way of representing and comparing sensorimotor activity patterns across subjects and between hemispheres of the same subjects.<\/jats:p>","DOI":"10.1007\/s12021-019-09441-y","type":"journal-article","created":{"date-parts":[[2019,12,3]],"date-time":"2019-12-03T08:02:57Z","timestamp":1575360177000},"page":"283-293","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Novel 2D Standard Cartesian Representation for the Human Sensorimotor Cortex"],"prefix":"10.1007","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5550-6418","authenticated-orcid":false,"given":"Mark L.C.M.","family":"Bruurmijn","sequence":"first","affiliation":[]},{"given":"Wouter","family":"Schellekens","sequence":"additional","affiliation":[]},{"given":"Mathijs A.H.","family":"Raemaekers","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7136-259X","authenticated-orcid":false,"given":"Nick F.","family":"Ramsey","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,12,3]]},"reference":[{"issue":"1","key":"9441_CR1","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.neuroimage.2007.07.007","volume":"38","author":"J Ashburner","year":"2007","unstructured":"Ashburner, J. (2007). A fast diffeomorphic image registration algorithm. NeuroImage, 38(1), 95. https:\/\/doi.org\/10.1016\/j.neuroimage.2007.07.007.","journal-title":"NeuroImage"},{"issue":"5","key":"9441_CR2","doi-asserted-by":"publisher","first-page":"873","DOI":"10.1109\/tmi.2013.2241651","volume":"32","author":"G Auzias","year":"2013","unstructured":"Auzias, G., Lefevre, J., Le Troter, A., Fischer, C., Perrot, M., Regis, J., & Coulon, O. (2013). Model-driven harmonic parameterization of the cortical surface: HIP-HOP. IEEE Transactions on Medical Imaging, 32(5), 873\u2013887. https:\/\/doi.org\/10.1109\/tmi.2013.2241651.","journal-title":"IEEE Transactions on Medical Imaging"},{"issue":"12","key":"9441_CR3","doi-asserted-by":"publisher","first-page":"3166","DOI":"10.1093\/brain\/awx274","volume":"140","author":"MLCM Bruurmijn","year":"2017","unstructured":"Bruurmijn, M. L. C. M., Pereboom, I. P. L., Vansteensel, M. J., Raemaekers, M. A. H., & Ramsey, N. F. (2017). Preservation of hand movement representation in the sensorimotor areas of amputees. Brain, 140(12), 3166\u20133178. https:\/\/doi.org\/10.1093\/brain\/awx274.","journal-title":"Brain"},{"issue":"8","key":"9441_CR4","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1016\/j.media.2004.06.023","volume":"3","author":"I Corouge","year":"2004","unstructured":"Corouge, I., Dojat, M., & Barillot, C. (2004). Statistical shape modeling of low level visual area borders. Medical Image Analysis, 3(8), 353\u2013360. https:\/\/doi.org\/10.1016\/j.media.2004.06.023.","journal-title":"Medical Image Analysis"},{"key":"9441_CR5","doi-asserted-by":"publisher","unstructured":"Coulon, O., Pizzagalli, F., Operto, G., Auzias, G., Delon-Martin, C., & Dojat, M. (2011). Two new stable anatomical landmarks on the central sulcus: Definition, automatic detection, and their relationship with primary motor functions of the hand. 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. https:\/\/doi.org\/10.1109\/iembs.2011.6091921.","DOI":"10.1109\/iembs.2011.6091921"},{"issue":"3","key":"9441_CR6","doi-asserted-by":"publisher","first-page":"968","DOI":"10.1016\/j.neuroimage.2006.01.021","volume":"31","author":"RS Desikan","year":"2006","unstructured":"Desikan, R. S., S\u00e9gonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., et al. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. 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Local landmark alignment for high-resolution fMRI group studies: Toward a fine cortical investigation of hand movements in human. Journal of Neuroscience Methods, 218(1), 83. https:\/\/doi.org\/10.1016\/j.jneumeth.2013.05.005.","journal-title":"Journal of Neuroscience Methods"},{"key":"9441_CR12","doi-asserted-by":"publisher","unstructured":"Qiu A., Miller M. I. (2007). Cortical hemisphere registration via large deformation diffeomorphic metric curve mapping. In Ayache N., Ourselin S., Maeder A. (eds.) Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2007. MICCAI 2007. Lecture Notes in Computer Science, vol 4791. Springer, Berlin, Heidelberg, 186\u2013193. https:\/\/doi.org\/10.1007\/978-3-540-75757-3_23.","DOI":"10.1007\/978-3-540-75757-3_23"},{"issue":"5","key":"9441_CR13","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1136\/jamia.2001.0080443","volume":"8","author":"DC Van Essen","year":"2001","unstructured":"Van Essen, D. C., Drury, H. 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