{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T07:30:43Z","timestamp":1775201443726,"version":"3.50.1"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031869198","type":"print"},{"value":"9783031869204","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-86920-4_18","type":"book-chapter","created":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T08:58:24Z","timestamp":1744880304000},"page":"197-209","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Heritability and\u00a0Genetic Correlations Along the\u00a0Corticospinal Tract"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1443-8786","authenticated-orcid":false,"given":"Iyad","family":"Ba Gari","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2498-8888","authenticated-orcid":false,"given":"Ravi R.","family":"Bhatt","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7946-2173","authenticated-orcid":false,"given":"Fang-Chang","family":"Yeh","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4401-8950","authenticated-orcid":false,"given":"Neda","family":"Jahanshad","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,18]]},"reference":[{"key":"18_CR1","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1016\/j.neuroimage.2017.10.034","volume":"166","author":"F Alfaro-Almagro","year":"2018","unstructured":"Alfaro-Almagro, F., et al.: Image processing and quality control for the first 10,000 brain imaging datasets from UK biobank. Neuroimage 166, 400\u2013424 (2018)","journal-title":"Neuroimage"},{"key":"18_CR2","doi-asserted-by":"crossref","unstructured":"Ba\u00a0Gari, I., et\u00a0al.: Along-tract parameterization of white matter microstructure using medial tractography analysis (MeTA). In: The 19th International Symposium on Medical Information Processing and Analysis (2023)","DOI":"10.1109\/SIPAIM56729.2023.10373540"},{"key":"18_CR3","doi-asserted-by":"crossref","unstructured":"Ba\u00a0Gari, I., et\u00a0al.: Medial tractography analysis (MeTA) for white matter population analyses across datasets. In: 2023 11th International IEEE\/EMBS Conference on Neural Engineering (NER), pp.\u00a01\u20135, April 2023","DOI":"10.1109\/NER52421.2023.10123727"},{"issue":"1","key":"18_CR4","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.neuroimage.2006.09.018","volume":"34","author":"TEJ Behrens","year":"2007","unstructured":"Behrens, T.E.J., et al.: Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? Neuroimage 34(1), 144\u2013155 (2007)","journal-title":"Neuroimage"},{"issue":"7726","key":"18_CR5","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1038\/s41586-018-0579-z","volume":"562","author":"C Bycroft","year":"2018","unstructured":"Bycroft, C., et al.: The UK biobank resource with deep phenotyping and genomic data. Nature 562(7726), 203\u2013209 (2018)","journal-title":"Nature"},{"issue":"1","key":"18_CR6","doi-asserted-by":"publisher","first-page":"17149","DOI":"10.1038\/s41598-020-74054-4","volume":"10","author":"BQ Chandio","year":"2020","unstructured":"Chandio, B.Q., et al.: Bundle analytics, a computational framework for investigating the shapes and profiles of brain pathways across populations. Sci. Rep. 10(1), 17149 (2020)","journal-title":"Sci. Rep."},{"key":"18_CR7","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.bbr.2017.05.028","volume":"332","author":"N Chen","year":"2017","unstructured":"Chen, N., et al.: Meta-analyses of RELN variants in neuropsychiatric disorders. Behav. Brain Res. 332, 110\u2013119 (2017)","journal-title":"Behav. Brain Res."},{"issue":"7726","key":"18_CR8","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1038\/s41586-018-0571-7","volume":"562","author":"LT Elliott","year":"2018","unstructured":"Elliott, L.T., et al.: Genome-wide association studies of brain imaging phenotypes in UK biobank. Nature 562(7726), 210\u2013216 (2018)","journal-title":"Nature"},{"issue":"2","key":"18_CR9","doi-asserted-by":"publisher","first-page":"774","DOI":"10.1016\/j.neuroimage.2012.01.021","volume":"62","author":"B Fischl","year":"2012","unstructured":"Fischl, B.: FreeSurfer. Neuroimage 62(2), 774\u2013781 (2012)","journal-title":"FreeSurfer. Neuroimage"},{"key":"18_CR10","doi-asserted-by":"publisher","first-page":"175","DOI":"10.3389\/fnins.2012.00175","volume":"6","author":"E Garyfallidis","year":"2012","unstructured":"Garyfallidis, E., et al.: QuickBundles, a method for tractography simplification. Front. Neurosci. 6, 175 (2012)","journal-title":"Front. Neurosci."},{"issue":"7","key":"18_CR11","doi-asserted-by":"publisher","first-page":"1216","DOI":"10.3174\/ajnr.A4714","volume":"37","author":"GR Glenn","year":"2016","unstructured":"Glenn, G.R., et al.: Mapping the orientation of white matter fiber bundles: a comparative study of diffusion tensor imaging, diffusional kurtosis imaging, and diffusion spectrum imaging. AJNR Am. J. Neuroradiol. 37(7), 1216\u20131222 (2016)","journal-title":"AJNR Am. J. Neuroradiol."},{"key":"18_CR12","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.26497","volume-title":"Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods","author":"J He","year":"2023","unstructured":"He, J., et al.: Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods. Hum, Brain Mapp (2023)"},{"key":"18_CR13","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1016\/j.neuroimage.2015.02.050","volume":"111","author":"P Kochunov","year":"2015","unstructured":"Kochunov, P., et al.: Heritability of fractional anisotropy in human white matter: a comparison of human connectome project and ENIGMA-DTI data. Neuroimage 111, 300\u2013311 (2015)","journal-title":"Neuroimage"},{"key":"18_CR14","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.neuroimage.2014.03.033","volume":"95","author":"P Kochunov","year":"2014","unstructured":"Kochunov, P., et al.: Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling. Neuroimage 95, 136\u2013150 (2014)","journal-title":"Neuroimage"},{"issue":"9","key":"18_CR15","doi-asserted-by":"publisher","first-page":"2012","DOI":"10.1038\/npp.2012.49","volume":"37","author":"O Kohannim","year":"2012","unstructured":"Kohannim, O., et al.: Predicting white matter integrity from multiple common genetic variants. Neuropsychopharmacology 37(9), 2012\u20132019 (2012)","journal-title":"Neuropsychopharmacology"},{"issue":"19","key":"18_CR16","doi-asserted-by":"publisher","first-page":"2540","DOI":"10.1093\/bioinformatics\/bts474","volume":"28","author":"SH Lee","year":"2012","unstructured":"Lee, S.H., et al.: Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihood. Bioinformatics 28(19), 2540\u20132542 (2012)","journal-title":"Bioinformatics"},{"key":"18_CR17","unstructured":"M\u00fcllner, D.: Modern hierarchical, agglomerative clustering algorithms. arXiv [stat.ML], September 2011"},{"key":"18_CR18","doi-asserted-by":"crossref","unstructured":"Pichet\u00a0Binette, A., et\u00a0al.: Bundle-specific associations between white matter microstructure and ab and tau pathology in preclinical alzheimer\u2019s disease. Elife 10, May 2021","DOI":"10.7554\/eLife.62929"},{"issue":"1","key":"18_CR19","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/TASSP.1978.1163055","volume":"26","author":"H Sakoe","year":"1978","unstructured":"Sakoe, H., et al.: Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans. Acoust. 26(1), 43\u201349 (1978)","journal-title":"IEEE Trans. Acoust."},{"key":"18_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2021.118451","volume":"242","author":"KG Schilling","year":"2021","unstructured":"Schilling, K.G., et al.: Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow. Neuroimage 242, 118451 (2021)","journal-title":"Neuroimage"},{"key":"18_CR21","doi-asserted-by":"crossref","unstructured":"Schroeder, W., et\u00a0al.: The Visualization Toolkit: An Object-oriented Approach to 3D Graphics. Kitware (2006)","DOI":"10.1016\/B978-012387582-2\/50003-4"},{"key":"18_CR22","doi-asserted-by":"crossref","unstructured":"Sha, Z., et\u00a0al.: Genetic architecture of the white matter connectome of the human brain. Sci. Adv. 9(7), eadd2870 (2023)","DOI":"10.1126\/sciadv.add2870"},{"issue":"4","key":"18_CR23","doi-asserted-by":"publisher","first-page":"1487","DOI":"10.1016\/j.neuroimage.2006.02.024","volume":"31","author":"SM Smith","year":"2006","unstructured":"Smith, S.M., et al.: Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 31(4), 1487\u20131505 (2006)","journal-title":"Neuroimage"},{"issue":"37","key":"18_CR24","doi-asserted-by":"publisher","first-page":"1450","DOI":"10.21105\/joss.01450","volume":"4","author":"C Sullivan","year":"2019","unstructured":"Sullivan, C., et al.: PyVista: 3D plotting and mesh analysis through a streamlined interface for the visualization toolkit (VTK). J. Open Source Softw. 4(37), 1450 (2019)","journal-title":"J. Open Source Softw."},{"issue":"4","key":"18_CR25","doi-asserted-by":"publisher","first-page":"2026","DOI":"10.1002\/hbm.23502","volume":"38","author":"E Vuoksimaa","year":"2017","unstructured":"Vuoksimaa, E., et al.: Heritability of white matter microstructure in late middle age: a twin study of tract-based fractional anisotropy and absolute diffusivity indices. Hum. Brain Mapp. 38(4), 2026\u20132036 (2017)","journal-title":"Hum. Brain Mapp."},{"issue":"7","key":"18_CR26","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1038\/ng.608","volume":"42","author":"J Yang","year":"2010","unstructured":"Yang, J., et al.: Common SNPs explain a large proportion of the heritability for human height. Nat. Genet. 42(7), 565\u2013569 (2010)","journal-title":"Nat. Genet."},{"issue":"1","key":"18_CR27","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.ajhg.2010.11.011","volume":"88","author":"J Yang","year":"2011","unstructured":"Yang, J., et al.: GCTA: a tool for genome-wide complex trait analysis. Am. J. Hum. Genet. 88(1), 76\u201382 (2011)","journal-title":"Am. J. Hum. Genet."},{"key":"18_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117329","volume":"223","author":"FC Yeh","year":"2020","unstructured":"Yeh, F.C.: Shape analysis of the human association pathways. Neuroimage 223, 117329 (2020)","journal-title":"Neuroimage"},{"key":"18_CR29","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.neuroimage.2018.05.027","volume":"178","author":"FC Yeh","year":"2018","unstructured":"Yeh, F.C., et al.: Population-averaged atlas of the macroscale human structural connectome and its network topology. Neuroimage 178, 57\u201368 (2018)","journal-title":"Neuroimage"},{"issue":"11","key":"18_CR30","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0080713","volume":"8","author":"FC Yeh","year":"2013","unstructured":"Yeh, F.C., et al.: Deterministic diffusion fiber tracking improved by quantitative anisotropy. PLoS ONE 8(11), e80713 (2013)","journal-title":"PLoS ONE"},{"issue":"9","key":"18_CR31","doi-asserted-by":"publisher","first-page":"1626","DOI":"10.1109\/TMI.2010.2045126","volume":"29","author":"FC Yeh","year":"2010","unstructured":"Yeh, F.C., et al.: Generalized q-sampling imaging. IEEE Trans. Med. Imaging 29(9), 1626\u20131635 (2010)","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"1 Suppl","key":"18_CR32","doi-asserted-by":"publisher","first-page":"S99","DOI":"10.1016\/j.neuroimage.2008.10.051","volume":"45","author":"PA Yushkevich","year":"2009","unstructured":"Yushkevich, P.A.: Continuous medial representation of brain structures using the biharmonic PDE. Neuroimage 45(1 Suppl), S99-110 (2009)","journal-title":"Neuroimage"},{"issue":"12","key":"18_CR33","doi-asserted-by":"publisher","first-page":"1547","DOI":"10.1109\/TMI.2006.884634","volume":"25","author":"PA Yushkevich","year":"2006","unstructured":"Yushkevich, P.A., et al.: Continuous medial representation for anatomical structures. IEEE Trans. Med. Imaging 25(12), 1547\u20131564 (2006)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"18_CR34","doi-asserted-by":"crossref","unstructured":"Zhao, B., et\u00a0al.: Common genetic variation influencing human white matter microstructure. Science 372(6548), June 2021","DOI":"10.1126\/science.abf3736"}],"container-title":["Lecture Notes in Computer Science","Computational Diffusion MRI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-86920-4_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,17]],"date-time":"2025-04-17T08:58:30Z","timestamp":1744880310000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-86920-4_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031869198","9783031869204"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-86920-4_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"18 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CDMRI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Computational Diffusion MRI","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Marrakesh","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Morocco","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cdmri2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/cmic.cs.ucl.ac.uk\/cdmri\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}