{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,25]],"date-time":"2026-07-25T17:36:00Z","timestamp":1785000960690,"version":"3.55.0"},"reference-count":69,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T00:00:00Z","timestamp":1751587200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T00:00:00Z","timestamp":1751587200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["5R21MH133012-02"],"award-info":[{"award-number":["5R21MH133012-02"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cerebellum"],"DOI":"10.1007\/s12311-025-01870-7","type":"journal-article","created":{"date-parts":[[2025,7,4]],"date-time":"2025-07-04T02:31:02Z","timestamp":1751596262000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Detailed Mapping of the Cerebellar Dentate Nucleus Using Ultra-High Field (7T) Susceptibility-Weighted Imaging"],"prefix":"10.1007","volume":"24","author":[{"given":"Laura C.","family":"Rice","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Micah R.","family":"Plotkin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dylan","family":"Parodi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Beatrice","family":"Ojuri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maansi","family":"Barnwal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James J.","family":"Pekar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Catherine J.","family":"Stoodley","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deana","family":"Crocetti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stewart H.","family":"Mostofsky","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,4]]},"reference":[{"key":"1870_CR1","doi-asserted-by":"publisher","unstructured":"Abdul-Rahman H, Gdeisat M, Burton D, Lalor M. (2005). Fast three-dimensional phase-unwrapping algorithm based on sorting by reliability following a non-continuous path (W. Osten, C. Gorecki, & E. L. Novak, Eds.; p. 32). https:\/\/doi.org\/10.1117\/12.611415","DOI":"10.1117\/12.611415"},{"issue":"4","key":"1870_CR2","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1227\/NEU.0000000000000293","volume":"74","author":"A Akakin","year":"2014","unstructured":"Akakin A, Peris-Celda M, Kilic T, Seker A, Gutierrez-Martin A, Rhoton A. The dentate nucleus and its projection system in the human cerebellum: the dentate nucleus microsurgical anatomical study. Neurosurgery. 2014;74(4):401\u201324. https:\/\/doi.org\/10.1227\/NEU.0000000000000293. discussion 424\u2013425.","journal-title":"Neurosurgery"},{"issue":"9","key":"1870_CR3","doi-asserted-by":"publisher","first-page":"2040","DOI":"10.1109\/TMI.2016.2544958","volume":"35","author":"L Bao","year":"2016","unstructured":"Bao L, Li X, Cai C, Chen Z, Van Zijl PCM. Quantitative susceptibility mapping using structural feature based collaborative reconstruction pub _newline? (SFCR) in the human brain. IEEE Trans Med Imaging. 2016;35(9):2040\u201350. https:\/\/doi.org\/10.1109\/TMI.2016.2544958.","journal-title":"IEEE Trans Med Imaging"},{"issue":"6","key":"1870_CR4","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1016\/j.conb.2006.08.016","volume":"16","author":"AJ Bastian","year":"2006","unstructured":"Bastian AJ. Learning to predict the future: the cerebellum adapts feedforward movement control. Curr Opin Neurobiol. 2006;16(6):645\u20139. https:\/\/doi.org\/10.1016\/j.conb.2006.08.016.","journal-title":"Curr Opin Neurobiol"},{"issue":"1","key":"1870_CR5","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.jneumeth.2007.05.024","volume":"165","author":"P-L Bazin","year":"2007","unstructured":"Bazin P-L, Cuzzocreo JL, Yassa MA, Gandler W, McAuliffe MJ, Bassett SS, Pham DL. Volumetric neuroimage analysis extensions for the MIPAV software package. J Neurosci Methods. 2007;165(1):111\u201321. https:\/\/doi.org\/10.1016\/j.jneumeth.2007.05.024.","journal-title":"J Neurosci Methods"},{"issue":"3","key":"1870_CR6","doi-asserted-by":"publisher","first-page":"tgab050","DOI":"10.1093\/texcom\/tgab050","volume":"2","author":"JA Bernard","year":"2021","unstructured":"Bernard JA, Ballard HK, Jackson TB. Cerebellar dentate connectivity across adulthood: A Large-Scale resting state functional connectivity investigation. Cereb Cortex Commun. 2021;2(3):tgab050. https:\/\/doi.org\/10.1093\/texcom\/tgab050.","journal-title":"Cereb Cortex Commun"},{"issue":"8","key":"1870_CR7","doi-asserted-by":"publisher","first-page":"2151","DOI":"10.1093\/cercor\/bht065","volume":"24","author":"JA Bernard","year":"2014","unstructured":"Bernard JA, Peltier SJ, Benson BL, Wiggins JL, Jaeggi SM, Buschkuehl M, Jonides J, Monk CS, Seidler RD. Dissociable functional networks of the human dentate nucleus. Cereb Cortex. 2014;24(8):2151\u20139. https:\/\/doi.org\/10.1093\/cercor\/bht065.","journal-title":"Cereb Cortex"},{"issue":"8","key":"1870_CR8","doi-asserted-by":"publisher","first-page":"1467","DOI":"10.3174\/ajnr.A5138","volume":"38","author":"KM Bond","year":"2017","unstructured":"Bond KM, Brinjikji W, Eckel LJ, Kallmes DF, McDonald RJ, Carr CM. Dentate update: imaging features of entities that affect the dentate nucleus. AJNR Am J Neuroradiol. 2017;38(8):1467\u201374. https:\/\/doi.org\/10.3174\/ajnr.A5138.","journal-title":"AJNR Am J Neuroradiol"},{"issue":"5","key":"1870_CR9","doi-asserted-by":"publisher","first-page":"2322","DOI":"10.1152\/jn.00339.2011","volume":"106","author":"RL Buckner","year":"2011","unstructured":"Buckner RL, Krienen FM, Castellanos A, Diaz JC, Yeo BTT. The organization of the human cerebellum estimated by intrinsic functional connectivity. J Neurophysiol. 2011;106(5):2322\u201345. https:\/\/doi.org\/10.1152\/jn.00339.2011.","journal-title":"J Neurophysiol"},{"key":"1870_CR10","doi-asserted-by":"publisher","first-page":"151","DOI":"10.3389\/fnins.2013.00151","volume":"7","author":"C Ceritoglu","year":"2013","unstructured":"Ceritoglu C, Tang X, Chow M, Hadjiabadi D, Shah D, Brown T, Burhanullah MH, Trinh H, Hsu JT, Ament KA, Crocetti D, Mori S, Mostofsky SH, Yantis S, Miller MI, Ratnanather JT. Computational analysis of LDDMM for brain mapping. Front NeuroSci. 2013;7:151. https:\/\/doi.org\/10.3389\/fnins.2013.00151.","journal-title":"Front NeuroSci"},{"issue":"2","key":"1870_CR11","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1148\/radiol.2020201603","volume":"298","author":"L Chen","year":"2021","unstructured":"Chen L, Soldan A, Oishi K, Faria A, Zhu Y, Albert M, Van Zijl PCM, Li X. Quantitative susceptibility mapping of brain Iron and \u03b2-Amyloid in MRI and PET relating to cognitive performance in cognitively normal older adults. Radiology. 2021;298(2):353\u201362. https:\/\/doi.org\/10.1148\/radiol.2020201603.","journal-title":"Radiology"},{"key":"1870_CR12","doi-asserted-by":"publisher","first-page":"117549","DOI":"10.1016\/j.neuroimage.2020.117549","volume":"226","author":"JW Cho","year":"2021","unstructured":"Cho JW, Korchmaros A, Vogelstein JT, Milham MP, Xu T. Impact of concatenating fMRI data on reliability for functional connectomics. NeuroImage. 2021;226:117549. https:\/\/doi.org\/10.1016\/j.neuroimage.2020.117549.","journal-title":"NeuroImage"},{"issue":"1","key":"1870_CR13","doi-asserted-by":"publisher","first-page":"fcab306","DOI":"10.1093\/braincomms\/fcab306","volume":"4","author":"A Deistung","year":"2022","unstructured":"Deistung A, J\u00e4schke D, Draganova R, Pfaffenrot V, Hulst T, Steiner KM, Thieme A, Giordano IA, Klockgether T, Tunc S, M\u00fcnchau A, Minnerop M, G\u00f6ricke SL, Reichenbach JR, Timmann D. Quantitative susceptibility mapping reveals alterations of dentate nuclei in common types of degenerative cerebellar ataxias. Brain Commun. 2022;4(1):fcab306. https:\/\/doi.org\/10.1093\/braincomms\/fcab306.","journal-title":"Brain Commun"},{"issue":"1","key":"1870_CR14","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/s12311-015-0738-9","volume":"15","author":"A Deistung","year":"2016","unstructured":"Deistung A, Stefanescu MR, Ernst TM, Schlamann M, Ladd ME, Reichenbach JR, Timmann D. Structural and functional magnetic resonance imaging of the cerebellum: considerations for assessing cerebellar ataxias. Cerebellum. 2016;15(1):21\u20135. https:\/\/doi.org\/10.1007\/s12311-015-0738-9.","journal-title":"Cerebellum"},{"issue":"3","key":"1870_CR15","doi-asserted-by":"publisher","first-page":"297","DOI":"10.2307\/1932409","volume":"26","author":"LR Dice","year":"1945","unstructured":"Dice LR. Measures of the amount of Ecologic association between species. Ecology. 1945;26(3):297\u2013302. https:\/\/doi.org\/10.2307\/1932409.","journal-title":"Ecology"},{"issue":"3","key":"1870_CR16","doi-asserted-by":"publisher","first-page":"1786","DOI":"10.1016\/j.neuroimage.2010.10.035","volume":"54","author":"J Diedrichsen","year":"2011","unstructured":"Diedrichsen J, Maderwald S, K\u00fcper M, Th\u00fcrling M, Rabe K, Gizewski ER, Ladd ME, Timmann D. Imaging the deep cerebellar nuclei: A probabilistic atlas and normalization procedure. NeuroImage. 2011;54(3):1786\u201394. https:\/\/doi.org\/10.1016\/j.neuroimage.2010.10.035.","journal-title":"NeuroImage"},{"issue":"1","key":"1870_CR17","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1006\/nimg.2002.1124","volume":"17","author":"A Dimitrova","year":"2002","unstructured":"Dimitrova A, Weber J, Redies C, Kindsvater K, Maschke M, Kolb FP, Forsting M, Diener HC, Timmann D. MRI atlas of the human cerebellar nuclei. NeuroImage. 2002;17(1):240\u201355. https:\/\/doi.org\/10.1006\/nimg.2002.1124.","journal-title":"NeuroImage"},{"issue":"1","key":"1870_CR18","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.neuroimage.2005.09.020","volume":"30","author":"A Dimitrova","year":"2006","unstructured":"Dimitrova A, Zeljko D, Schwarze F, Maschke M, Gerwig M, Frings M, Beck A, Aurich V, Forsting M, Timmann D. Probabilistic 3D MRI atlas of the human cerebellar dentate\/interposed nuclei. NeuroImage. 2006;30(1):12\u201325. https:\/\/doi.org\/10.1016\/j.neuroimage.2005.09.020.","journal-title":"NeuroImage"},{"key":"1870_CR19","doi-asserted-by":"publisher","DOI":"10.1038\/s41380-024-02769-1","author":"F d\u2019Oleire Uquillas","year":"2024","unstructured":"d\u2019Oleire Uquillas F, Sefik E, Li B, Trotter MA, Steele KA, Seidlitz J, Gesue R, Latif M, Fasulo T, Zhang V, Kislin M, Verpeut JL, Cohen JD, Sepulcre J, Wang SS-H, Gomez J. Multimodal evidence for cerebellar influence on cortical development in autism: structural growth amidst functional disruption. Mol Psychiatry. 2024. https:\/\/doi.org\/10.1038\/s41380-024-02769-1.","journal-title":"Mol Psychiatry"},{"issue":"1","key":"1870_CR20","doi-asserted-by":"publisher","first-page":"634","DOI":"10.1152\/jn.00626.2002","volume":"89","author":"RP Dum","year":"2003","unstructured":"Dum RP, Strick PL. An unfolded map of the cerebellar dentate nucleus and its projections to the cerebral cortex. J Neurophysiol. 2003;89(1):634\u20139. https:\/\/doi.org\/10.1152\/jn.00626.2002.","journal-title":"J Neurophysiol"},{"issue":"8","key":"1870_CR21","doi-asserted-by":"publisher","first-page":"3957","DOI":"10.1002\/hbm.23641","volume":"38","author":"TM Ernst","year":"2017","unstructured":"Ernst TM, Th\u00fcrling M, M\u00fcller S, Kahl F, Maderwald S, Schlamann M, Boele H-J, Koekkoek SKE, Diedrichsen J, De Zeeuw CI, Ladd ME, Timmann D. Modulation of 7 T fMRI signal in the cerebellar cortex and nuclei during acquisition, extinction, and reacquisition of conditioned eyeblink responses. Hum Brain Mapp. 2017;38(8):3957\u201374. https:\/\/doi.org\/10.1002\/hbm.23641.","journal-title":"Hum Brain Mapp"},{"key":"1870_CR22","doi-asserted-by":"publisher","unstructured":"Gaser C, Dahnke R, Thompson PM, Kurth F, Luders E, Alzheimer\u2019s Disease Neuroimaging Initiative. &. (2022). CAT\u2013 A Computational Anatomy Toolbox for the Analysis of Structural MRI Data [Preprint]. Neuroscience. https:\/\/doi.org\/10.1101\/2022.06.11.495736","DOI":"10.1101\/2022.06.11.495736"},{"issue":"4","key":"1870_CR23","doi-asserted-by":"publisher","first-page":"2401","DOI":"10.1093\/cercor\/bhz247","volume":"30","author":"X Guell","year":"2020","unstructured":"Guell X, D\u2019Mello AM, Hubbard NA, Romeo RR, Gabrieli JDE, Whitfield-Gabrieli S, Schmahmann JD, Anteraper SA. Functional territories of human dentate nucleus. Cereb Cortex (New York N Y: 1991). 2020;30(4):2401\u201317. https:\/\/doi.org\/10.1093\/cercor\/bhz247.","journal-title":"Cereb Cortex (New York N Y: 1991)"},{"issue":"8","key":"1870_CR24","doi-asserted-by":"publisher","first-page":"1402","DOI":"10.1111\/j.1460-9568.2010.07151.x","volume":"31","author":"M Hashimoto","year":"2010","unstructured":"Hashimoto M, Takahara D, Hirata Y, Inoue K, Miyachi S, Nambu A, Tanji J, Takada M, Hoshi E. Motor and non-motor projections from the cerebellum to Rostrocaudally distinct sectors of the dorsal premotor cortex in macaques. Eur J Neurosci. 2010;31(8):1402\u201313. https:\/\/doi.org\/10.1111\/j.1460-9568.2010.07151.x.","journal-title":"Eur J Neurosci"},{"key":"1870_CR25","doi-asserted-by":"publisher","first-page":"e85907","DOI":"10.7554\/eLife.85907","volume":"12","author":"K Heuer","year":"2023","unstructured":"Heuer K, Traut N, De Sousa AA, Valk SL, Clavel J, Toro R. Diversity and evolution of cerebellar folding in mammals. eLife. 2023;12:e85907. https:\/\/doi.org\/10.7554\/eLife.85907.","journal-title":"eLife"},{"issue":"4","key":"1870_CR26","doi-asserted-by":"publisher","first-page":"761","DOI":"10.1007\/s12311-019-01035-3","volume":"18","author":"Q Ji","year":"2019","unstructured":"Ji Q, Edwards A, Glass JO, Brinkman TM, Patay Z, Reddick WE. Measurement of projections between dentate nucleus and contralateral frontal cortex in human brain via diffusion tensor tractography. Cerebellum (Lond England). 2019;18(4):761\u20139. https:\/\/doi.org\/10.1007\/s12311-019-01035-3.","journal-title":"Cerebellum (Lond England)"},{"issue":"23","key":"1870_CR27","doi-asserted-by":"publisher","first-page":"8432","DOI":"10.1523\/JNEUROSCI.23-23-08432.2003","volume":"23","author":"RM Kelly","year":"2003","unstructured":"Kelly RM, Strick PL. Cerebellar loops with motor cortex and prefrontal cortex of a nonhuman primate. J Neuroscience: Official J Soc Neurosci. 2003;23(23):8432\u201344.","journal-title":"J Neuroscience: Official J Soc Neurosci"},{"key":"1870_CR28","doi-asserted-by":"publisher","first-page":"101550","DOI":"10.1109\/access.2020.2998537","volume":"8","author":"J Kim","year":"2020","unstructured":"Kim J, Patriat R, Kaplan J, Solomon O, Harel N. Deep cerebellar nuclei segmentation via Semi-Supervised deep Context-Aware learning from 7T diffusion MRI. IEEE Access: Practical Innovations Open Solutions. 2020;8:101550\u201368. https:\/\/doi.org\/10.1109\/access.2020.2998537.","journal-title":"IEEE Access: Practical Innovations Open Solutions"},{"issue":"8","key":"1870_CR29","doi-asserted-by":"publisher","first-page":"1371","DOI":"10.1038\/s41593-019-0436-x","volume":"22","author":"M King","year":"2019","unstructured":"King M, Hernandez-Castillo CR, Poldrack RA, Ivry RB, Diedrichsen J. Functional boundaries in the human cerebellum revealed by a multi-domain task battery. Nat Neurosci. 2019;22(8):1371\u20138. https:\/\/doi.org\/10.1038\/s41593-019-0436-x.","journal-title":"Nat Neurosci"},{"issue":"7","key":"1870_CR30","doi-asserted-by":"publisher","first-page":"1799","DOI":"10.1007\/s00429-023-02665-4","volume":"228","author":"M Kulkarni","year":"2023","unstructured":"Kulkarni M, Kent JS, Park K, Guell X, Anteraper S. Resting-state functional connectivity-based parcellation of the human dentate nucleus: new findings and clinical relevance. Brain Struct Function. 2023;228(7):1799\u2013810. https:\/\/doi.org\/10.1007\/s00429-023-02665-4.","journal-title":"Brain Struct Function"},{"issue":"11","key":"1870_CR31","doi-asserted-by":"publisher","first-page":"2741","DOI":"10.1002\/hbm.21400","volume":"33","author":"M K\u00fcper","year":"2012","unstructured":"K\u00fcper M, Th\u00fcrling M, Stefanescu R, Maderwald S, Roths J, Elles HG, Ladd ME, Diedrichsen J, Timmann D. Evidence for a motor somatotopy in the cerebellar dentate nucleus\u2014An FMRI study in humans. Hum Brain Mapp. 2012;33(11):2741\u20139. https:\/\/doi.org\/10.1002\/hbm.21400.","journal-title":"Hum Brain Mapp"},{"issue":"4","key":"1870_CR32","doi-asserted-by":"publisher","first-page":"1574","DOI":"10.1002\/hbm.22274","volume":"35","author":"M K\u00fcper","year":"2014","unstructured":"K\u00fcper M, W\u00fcnnemann MJS, Th\u00fcrling M, Stefanescu RM, Maderwald S, Elles HG, G\u00f6ricke S, Ladd ME, Timmann D. Activation of the cerebellar cortex and the dentate nucleus in a Prism adaptation fMRI study. Hum Brain Mapp. 2014;35(4):1574\u201386. https:\/\/doi.org\/10.1002\/hbm.22274.","journal-title":"Hum Brain Mapp"},{"key":"1870_CR33","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1016\/j.neuroimage.2019.02.016","volume":"191","author":"X Li","year":"2019","unstructured":"Li X, Chen L, Kutten K, Ceritoglu C, Li Y, Kang N, Hsu JT, Qiao Y, Wei H, Liu C, Miller MI, Mori S, Yousem DM, Van Zijl PCM, Faria AV. Multi-atlas tool for automated segmentation of brain Gray matter nuclei and quantification of their magnetic susceptibility. NeuroImage. 2019;191:337\u201349. https:\/\/doi.org\/10.1016\/j.neuroimage.2019.02.016.","journal-title":"NeuroImage"},{"issue":"4","key":"1870_CR34","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1007\/s12311-008-0063-7","volume":"7","author":"M Manto","year":"2008","unstructured":"Manto M. The cerebellum, cerebellar disorders, and cerebellar research\u2014Two centuries of discoveries. Cerebellum (Lond England). 2008;7(4):505\u201316. https:\/\/doi.org\/10.1007\/s12311-008-0063-7.","journal-title":"Cerebellum (Lond England)"},{"key":"1870_CR35","doi-asserted-by":"publisher","first-page":"919765","DOI":"10.3389\/fnins.2022.919765","volume":"16","author":"CL Marvel","year":"2022","unstructured":"Marvel CL, Chen L, Joyce MR, Morgan OP, Iannuzzelli KG, LaConte SM, Lisinski JM, Rosenthal LS, Li X. Quantitative susceptibility mapping of basal ganglia iron is associated with cognitive and motor functions that distinguish spinocerebellar ataxia type 6 and type 3. Front NeuroSci. 2022;16:919765. https:\/\/doi.org\/10.3389\/fnins.2022.919765.","journal-title":"Front NeuroSci"},{"issue":"1","key":"1870_CR36","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1007\/s12311-011-0311-0","volume":"11","author":"CL Marvel","year":"2012","unstructured":"Marvel CL, Faulkner ML, Strain EC, Mintzer MZ, Desmond JE. An fMRI investigation of cerebellar function during verbal working memory in methadone maintenance patients. Cerebellum (Lond England). 2012;11(1):300\u201310. https:\/\/doi.org\/10.1007\/s12311-011-0311-0.","journal-title":"Cerebellum (Lond England)"},{"issue":"2","key":"1870_CR37","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1002\/1096-8644(200102)114:2-163::AID-AJPA1016-3.0.CO;2-F","volume":"114","author":"S Matano","year":"2001","unstructured":"Matano S. Brief communication: proportions of the ventral half of the cerebellar dentate nucleus in humans and great apes. Am J Phys Anthropol. 2001;114(2):163\u20135. https:\/\/doi.org\/10.1002\/1096-8644(200102)114:2-163::AID-AJPA1016-3.0.CO;2-F.","journal-title":"Am J Phys Anthropol"},{"issue":"7","key":"1870_CR38","doi-asserted-by":"publisher","first-page":"3487","DOI":"10.1007\/s00429-015-1115-7","volume":"221","author":"J Mollink","year":"2016","unstructured":"Mollink J, Van Baarsen KM, Dederen PJWC, Foxley S, Miller KL, Jbabdi S, Slump CH, Grotenhuis JA, Kleinnijenhuis M, Van Cappellen AM. Dentatorubrothalamic tract localization with postmortem MR diffusion tractography compared to histological 3D reconstruction. Brain Struct Function. 2016;221(7):3487\u2013501. https:\/\/doi.org\/10.1007\/s00429-015-1115-7.","journal-title":"Brain Struct Function"},{"issue":"9","key":"1870_CR39","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1177\/088307389801300904","volume":"13","author":"SH Mostofsky","year":"1998","unstructured":"Mostofsky SH, Reiss AL, Lockhart P, Denckla MB. Evaluation of cerebellar size in attention-deficit hyperactivity disorder. J Child Neurol. 1998;13(9):434\u20139. https:\/\/doi.org\/10.1177\/088307389801300904.","journal-title":"J Child Neurol"},{"key":"1870_CR40","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.neurobiolaging.2019.10.026","volume":"89","author":"G Olivito","year":"2020","unstructured":"Olivito G, Serra L, Marra C, Di Domenico C, Caltagirone C, Toniolo S, Cercignani M, Leggio M, Bozzali M. Cerebellar dentate nucleus functional connectivity with cerebral cortex in alzheimer\u2019s disease and memory: A seed-based approach. Neurobiol Aging. 2020;89:32\u201340. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2019.10.026.","journal-title":"Neurobiol Aging"},{"issue":"13","key":"1870_CR41","doi-asserted-by":"publisher","first-page":"4348","DOI":"10.1002\/hbm.25551","volume":"42","author":"F Palesi","year":"2021","unstructured":"Palesi F, Ferrante M, Gaviraghi M, Misiti A, Savini G, Lascialfari A, D\u2019Angelo E, Wheeler-Kingshott G, C. A. M. Motor and higher\u2010order functions topography of the human dentate nuclei identified with tractography and clustering methods. Hum Brain Mapp. 2021;42(13):4348\u201361. https:\/\/doi.org\/10.1002\/hbm.25551.","journal-title":"Hum Brain Mapp"},{"key":"1870_CR42","doi-asserted-by":"publisher","first-page":"119972","DOI":"10.1016\/j.neuroimage.2023.119972","volume":"270","author":"D\u0110 Ph\u1ea1m","year":"2023","unstructured":"Ph\u1ea1m D\u0110, McDonald DJ, Ding L, Nebel MB, Mejia AF. Less is more: balancing noise reduction and data retention in fMRI with data-driven scrubbing. NeuroImage. 2023;270:119972. https:\/\/doi.org\/10.1016\/j.neuroimage.2023.119972.","journal-title":"NeuroImage"},{"issue":"6","key":"1870_CR43","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1016\/j.jaac.2010.02.012","volume":"49","author":"A Qiu","year":"2010","unstructured":"Qiu A, Adler M, Crocetti D, Miller MI, Mostofsky SH. Basal ganglia shapes predict social, communication, and motor dysfunctions in boys with autism spectrum disorder. J Am Acad Child Adolesc Psychiatry. 2010;49(6):539\u201351. https:\/\/doi.org\/10.1016\/j.jaac.2010.02.012.","journal-title":"J Am Acad Child Adolesc Psychiatry"},{"issue":"7","key":"1870_CR44","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1038\/nrn1953","volume":"7","author":"N Ramnani","year":"2006","unstructured":"Ramnani N. The primate cortico-cerebellar system: anatomy and function. Nat Rev Neurosci. 2006;7(7):511\u201322. https:\/\/doi.org\/10.1038\/nrn1953.","journal-title":"Nat Rev Neurosci"},{"issue":"1","key":"1870_CR45","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1111\/acer.15219","volume":"48","author":"LC Rice","year":"2024","unstructured":"Rice LC, Langan MT, Cheng DT, Sheu Y-S, Peterburs J, Hua J, Qin Q, Rilee JJ, Faulkner ML, Mathena JR, Munro CA, Wand GS, McCaul ME, Desmond JE. Disrupted executive cerebro-cerebellar functional connectivity in alcohol use disorder. Alcohol Clin Experimental Res. 2024;48(1):33\u201347. https:\/\/doi.org\/10.1111\/acer.15219.","journal-title":"Alcohol Clin Experimental Res"},{"issue":"3","key":"1870_CR46","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1080\/14734220701490995","volume":"6","author":"JD Schmahmann","year":"2007","unstructured":"Schmahmann JD, Weilburg JB, Sherman JC. The neuropsychiatry of the cerebellum\u2014Insights from the clinic. Cerebellum (Lond England). 2007;6(3):254\u201367. https:\/\/doi.org\/10.1080\/14734220701490995.","journal-title":"Cerebellum (Lond England)"},{"issue":"4","key":"1870_CR47","doi-asserted-by":"publisher","first-page":"2789","DOI":"10.1016\/j.neuroimage.2010.10.070","volume":"54","author":"F Schweser","year":"2011","unstructured":"Schweser F, Deistung A, Lehr BW, Reichenbach JR. Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism? NeuroImage. 2011;54(4):2789\u2013807. https:\/\/doi.org\/10.1016\/j.neuroimage.2010.10.070.","journal-title":"NeuroImage"},{"issue":"3","key":"1870_CR48","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1002\/hbm.10062","volume":"17","author":"SM Smith","year":"2002","unstructured":"Smith SM. Fast robust automated brain extraction. Hum Brain Mapp. 2002;17(3):143\u201355. https:\/\/doi.org\/10.1002\/hbm.10062.","journal-title":"Hum Brain Mapp"},{"issue":"1","key":"1870_CR49","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1111\/jon.12669","volume":"30","author":"P Spincemaille","year":"2020","unstructured":"Spincemaille P, Anderson J, Wu G, Yang B, Fung M, Li K, Li S, Kovanlikaya I, Gupta A, Kelley D, Benhamo N, Wang Y. Quantitative susceptibility mapping: MRI at 7T versus 3T. J Neuroimaging. 2020;30(1):65\u201375. https:\/\/doi.org\/10.1111\/jon.12669.","journal-title":"J Neuroimaging"},{"key":"1870_CR50","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhw258","author":"CJ Steele","year":"2016","unstructured":"Steele CJ, Anwander A, Bazin P-L, Trampel R, Schaefer A, Turner R, Ramnani N, Villringer A. Human cerebellar Sub-millimeter diffusion imaging reveals the motor and Non-motor topography of the dentate nucleus. Cereb Cortex. 2016. https:\/\/doi.org\/10.1093\/cercor\/bhw258. cercor;bhw258v1.","journal-title":"Cereb Cortex"},{"issue":"2","key":"1870_CR51","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1007\/s12311-011-0260-7","volume":"11","author":"CJ Stoodley","year":"2012","unstructured":"Stoodley CJ. The cerebellum and cognition: evidence from functional imaging studies. Cerebellum (Lond England). 2012;11(2):352\u201365. https:\/\/doi.org\/10.1007\/s12311-011-0260-7.","journal-title":"Cerebellum (Lond England)"},{"issue":"5","key":"1870_CR52","doi-asserted-by":"publisher","first-page":"356","DOI":"10.1016\/j.siny.2016.04.010","volume":"21","author":"CJ Stoodley","year":"2016","unstructured":"Stoodley CJ, Limperopoulos C. Structure\u2013function relationships in the developing cerebellum: evidence from early-life cerebellar injury and neurodevelopmental disorders. Seminars Fetal Neonatal Med. 2016;21(5):356\u201364. https:\/\/doi.org\/10.1016\/j.siny.2016.04.010.","journal-title":"Seminars Fetal Neonatal Med"},{"issue":"2","key":"1870_CR53","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.neuroimage.2008.08.039","volume":"44","author":"CJ Stoodley","year":"2009","unstructured":"Stoodley CJ, Schmahmann JD. Functional topography in the human cerebellum: A meta-analysis of neuroimaging studies. NeuroImage. 2009;44(2):489\u2013501. https:\/\/doi.org\/10.1016\/j.neuroimage.2008.08.039.","journal-title":"NeuroImage"},{"key":"1870_CR54","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1146\/annurev.neuro.31.060407.125606","volume":"32","author":"PL Strick","year":"2009","unstructured":"Strick PL, Dum RP, Fiez JA. Cerebellum and nonmotor function. Annu Rev Neurosci. 2009;32:413\u201334. https:\/\/doi.org\/10.1146\/annurev.neuro.31.060407.125606.","journal-title":"Annu Rev Neurosci"},{"issue":"4","key":"1870_CR55","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1016\/j.neuroscience.2010.03.007","volume":"167","author":"F Sultan","year":"2010","unstructured":"Sultan F, Hamodeh S, Baizer JS. The human dentate nucleus: A complex shape untangled. Neuroscience. 2010;167(4):965\u20138. https:\/\/doi.org\/10.1016\/j.neuroscience.2010.03.007.","journal-title":"Neuroscience"},{"issue":"12","key":"1870_CR56","doi-asserted-by":"publisher","first-page":"4577","DOI":"10.1007\/s00330-016-4245-2","volume":"26","author":"E Tedeschi","year":"2016","unstructured":"Tedeschi E, Palma G, Canna A, Cocozza S, Russo C, Borrelli P, Lanzillo R, Angelini V, Postiglione E, Morra VB, Salvatore M, Brunetti A, Quarantelli M. In vivo dentate nucleus MRI relaxometry correlates with previous administration of Gadolinium-based contrast agents. Eur Radiol. 2016;26(12):4577\u201384. https:\/\/doi.org\/10.1007\/s00330-016-4245-2.","journal-title":"Eur Radiol"},{"key":"1870_CR57","doi-asserted-by":"publisher","unstructured":"Tellmann S, Bludau S, Eickhoff S, Mohlberg H, Minnerop M, Amunts K. Cytoarchitectonic mapping of the human brain cerebellar nuclei in stereotaxic space and delineation of their co-activation patterns. Front Neuroanat. 2015;09. https:\/\/doi.org\/10.3389\/fnana.2015.00054.","DOI":"10.3389\/fnana.2015.00054"},{"issue":"3","key":"1870_CR58","doi-asserted-by":"publisher","first-page":"1184","DOI":"10.1016\/j.neuroimage.2011.05.045","volume":"57","author":"M Th\u00fcrling","year":"2011","unstructured":"Th\u00fcrling M, K\u00fcper M, Stefanescu R, Maderwald S, Gizewski ER, Ladd ME, Timmann D. Activation of the dentate nucleus in a verb generation task: A 7T MRI study. NeuroImage. 2011;57(3):1184\u201391. https:\/\/doi.org\/10.1016\/j.neuroimage.2011.05.045.","journal-title":"NeuroImage"},{"key":"1870_CR59","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1016\/j.neuroimage.2015.07.069","volume":"122","author":"T Vanderwal","year":"2015","unstructured":"Vanderwal T, Kelly C, Eilbott J, Mayes LC, Castellanos FX. Inscapes: A movie paradigm to improve compliance in functional magnetic resonance imaging. NeuroImage. 2015;122:222\u201332. https:\/\/doi.org\/10.1016\/j.neuroimage.2015.07.069.","journal-title":"NeuroImage"},{"issue":"4","key":"1870_CR60","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1016\/j.jchemneu.2003.07.005","volume":"26","author":"J Voogd","year":"2003","unstructured":"Voogd J. The human cerebellum. J Chem Neuroanat. 2003;26(4):243\u201352. https:\/\/doi.org\/10.1016\/j.jchemneu.2003.07.005.","journal-title":"J Chem Neuroanat"},{"issue":"1","key":"1870_CR61","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1038\/s41598-022-25306-y","volume":"13","author":"Q Wang","year":"2023","unstructured":"Wang Q, Aljassar M, Bhagwat N, Zeighami Y, Evans AC, Dagher A, Pike GB, Sadikot AF, Poline J-B. Reproducibility of cerebellar involvement as quantified by consensus structural MRI biomarkers in advanced essential tremor. Sci Rep. 2023;13(1):581. https:\/\/doi.org\/10.1038\/s41598-022-25306-y.","journal-title":"Sci Rep"},{"issue":"1","key":"1870_CR62","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1002\/mrm.25358","volume":"73","author":"Y Wang","year":"2015","unstructured":"Wang Y, Liu T. Quantitative susceptibility mapping (QSM): decoding MRI data for a tissue magnetic biomarker. Magn Reson Med. 2015;73(1):82\u2013101. https:\/\/doi.org\/10.1002\/mrm.25358.","journal-title":"Magn Reson Med"},{"issue":"3","key":"1870_CR63","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1089\/brain.2012.0073","volume":"2","author":"S Whitfield-Gabrieli","year":"2012","unstructured":"Whitfield-Gabrieli S, Nieto-Castanon A. Conn: A functional connectivity toolbox for correlated and anticorrelated brain networks. Brain Connect. 2012;2(3):125\u201341. https:\/\/doi.org\/10.1089\/brain.2012.0073.","journal-title":"Brain Connect"},{"issue":"1","key":"1870_CR64","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1016\/j.neuroimage.2011.07.019","volume":"59","author":"B Wu","year":"2012","unstructured":"Wu B, Li W, Avram AV, Gho S-M, Liu C. Fast and tissue-optimized mapping of magnetic susceptibility and T2* with multi-echo and multi-shot spirals. NeuroImage. 2012;59(1):297\u2013305. https:\/\/doi.org\/10.1016\/j.neuroimage.2011.07.019.","journal-title":"NeuroImage"},{"issue":"1","key":"1870_CR65","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1002\/mrm.23000","volume":"67","author":"B Wu","year":"2012","unstructured":"Wu B, Li W, Guidon A, Liu C. Whole brain susceptibility mapping using compressed sensing. Magn Reson Med. 2012;67(1):137\u201347. https:\/\/doi.org\/10.1002\/mrm.23000","journal-title":"Magn Reson Med"},{"key":"1870_CR66","doi-asserted-by":"publisher","first-page":"113937","DOI":"10.1016\/j.psychres.2021.113937","volume":"300","author":"YJ Xie","year":"2021","unstructured":"Xie YJ, Xi YB, Cui L-B, Guan MZ, Li C, Wang ZH, Fang P, Yin H. Functional connectivity of cerebellar dentate nucleus and cognitive impairments in patients with drug-naive and first-episode schizophrenia. Psychiatry Res. 2021;300:113937. https:\/\/doi.org\/10.1016\/j.psychres.2021.113937.","journal-title":"Psychiatry Res"},{"issue":"6","key":"1870_CR67","doi-asserted-by":"publisher","first-page":"1733","DOI":"10.1007\/s11682-019-00097-5","volume":"13","author":"H Yang","year":"2019","unstructured":"Yang H, Wang N, Luo X, Lv H, Liu H, Fan G. Altered functional connectivity of dentate nucleus in parkinsonian and cerebellar variants of multiple system atrophy. Brain Imaging Behav. 2019;13(6):1733\u201345. https:\/\/doi.org\/10.1007\/s11682-019-00097-5.","journal-title":"Brain Imaging Behav"},{"issue":"3","key":"1870_CR68","doi-asserted-by":"publisher","first-page":"1116","DOI":"10.1016\/j.neuroimage.2006.01.015","volume":"31","author":"PA Yushkevich","year":"2006","unstructured":"Yushkevich PA, Piven J, Hazlett HC, Smith RG, Ho S, Gee JC, Gerig G. User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability. NeuroImage. 2006;31(3):1116\u201328. https:\/\/doi.org\/10.1016\/j.neuroimage.2006.01.015.","journal-title":"NeuroImage"},{"issue":"4","key":"1870_CR69","doi-asserted-by":"publisher","first-page":"1810","DOI":"10.1002\/hbm.26178","volume":"44","author":"Y Zhang","year":"2023","unstructured":"Zhang Y, Huang P, Wang X, Xu Q, Liu Y, Jin Z, Li Y, Cheng Z, Tang R, Chen S, He N, Yan F, Haacke EM. Visualizing the deep cerebellar nuclei using quantitative susceptibility mapping: an application in healthy controls, parkinson\u2019s disease patients and essential tremor patients. Hum Brain Mapp. 2023;44(4):1810\u201324. https:\/\/doi.org\/10.1002\/hbm.26178.","journal-title":"Hum Brain Mapp"}],"container-title":["The Cerebellum"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12311-025-01870-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12311-025-01870-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12311-025-01870-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T08:31:56Z","timestamp":1758357116000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12311-025-01870-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,4]]},"references-count":69,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2025,10]]}},"alternative-id":["1870"],"URL":"https:\/\/doi.org\/10.1007\/s12311-025-01870-7","relation":{},"ISSN":["1473-4230"],"issn-type":[{"value":"1473-4230","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,7,4]]},"assertion":[{"value":"4 June 2025","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 July 2025","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All studies were approved by the Johns Hopkins University School of Medicine Institutional Review Board and were conducted in accordance with the ethical standards of the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"Written consent was collected from all participants.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Participate"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing Interests"}}],"article-number":"122"}}