{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T21:30:28Z","timestamp":1782509428244,"version":"3.54.5"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001779","name":"Monash University","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100001779","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Brain Imaging and Behavior"],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract\n<\/jats:title><jats:p>The striatum is the principal site of disease pathology in Huntington\u2019s disease and contains neural connections to numerous cortical brain regions. Studies examining abnormalities to neural connections find that white matter integrity is compromised in HD; however, further regional, and longitudinal investigation is required. This paper is the first longitudinal investigation into region-based white-matter integrity changes in Huntington\u2019s Disease. The aim of this study was to better understand how disease progression impacts white matter tracts connecting the striatum to the prefrontal and motor cortical regions in HD. We used existing neuroimaging data from IMAGE-HD, comprised of 25 pre-symptomatic, 27 symptomatic, and 25 healthy controls at three separate time points (baseline, 18-months, 30-months). Fractional anisotropy, axial diffusivity and radial diffusivity were derived as measures of white matter microstructure. The anatomical regions of interest were identified using the Desikan-Killiany brain atlas. A Group by Time repeated measures ANCOVA was conducted for each tract of interest and for each measure. We found significantly lower fractional anisotropy and significantly higher radial diffusivity in the symptomatic group, compared to both the pre-symptomatic group and controls (the latter two groups did not differ from each other), in the rostral middle frontal and superior frontal tracts; as well as significantly higher axial diffusivity in the rostral middle tracts only. We did not find a Group by Time interaction for any of the white matter integrity measures. These findings demonstrate that whilst the microstructure of white matter tracts, extending from the striatum to these regions of interest, are compromised during the symptomatic stages of Huntington\u2019s disease, 36-month follow-up did not show progressive changes in these measures. Additionally, no correlations were found between clinical measures and tractography changes, indicating further investigations into the relationship between tractography changes and clinical symptoms in Huntington\u2019s disease are required.<\/jats:p>","DOI":"10.1007\/s11682-022-00699-6","type":"journal-article","created":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T22:02:42Z","timestamp":1656540162000},"page":"2457-2466","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Investigating longitudinal changes to frontal cortico-striatal tracts in Huntington\u2019s disease: the IMAGE-HD study"],"prefix":"10.1007","volume":"16","author":[{"given":"Brendan","family":"Tan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rosita","family":"Shishegar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stuart","family":"Oldham","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alex","family":"Fornito","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Govinda","family":"Poudel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0718-6760","authenticated-orcid":false,"given":"Nellie","family":"Georgiou-Karistianis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,6,29]]},"reference":[{"key":"699_CR1","unstructured":"Andersen, R. A., Plum, F., & Mountcastle, V. B. (1987). Handbook of Physiology, section I: The nervous system\u00a0(vol. 5, Part 2)."},{"issue":"1","key":"699_CR2","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1212\/WNL.50.1.252","volume":"50","author":"EH Aylward","year":"1998","unstructured":"Aylward, E. H., et al. (1998). Frontal lobe volume in patients with huntington\u2019s disease. Neurology, 50(1), 252\u2013258.","journal-title":"Neurology"},{"issue":"2","key":"699_CR3","doi-asserted-by":"publisher","first-page":"560","DOI":"10.1016\/j.jmr.2011.09.022","volume":"213","author":"PJ Basser","year":"2011","unstructured":"Basser, P. J., & Pierpaoli, C. (2011). Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. Journal of Magnetic Resonance, 213(2), 560\u2013570.","journal-title":"Journal of Magnetic Resonance"},{"issue":"7\u20138","key":"699_CR4","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1002\/nbm.782","volume":"15","author":"C Beaulieu","year":"2002","unstructured":"Beaulieu, C. (2002). The Basis of anisotropic water diffusion in the nervous system\u2013a technical review. NMR in Biomedicine: An International Journal Devoted to the Development and Application of Magnetic Resonance in Vivo, 15(7\u20138), 435\u2013455.","journal-title":"NMR in Biomedicine: An International Journal Devoted to the Development and Application of Magnetic Resonance in Vivo"},{"key":"699_CR5","first-page":"9","volume":"7","author":"GA De Erausquin","year":"2013","unstructured":"De Erausquin, G. A., & Alba-Ferrara, L. (2013). What does anisotropy measure? Insights from increased and decreased anisotropy in selective fiber tracts in Schizophrenia. Frontiers in Integrative Neuroscience, 7, 9.","journal-title":"Frontiers in Integrative Neuroscience"},{"key":"699_CR6","volume-title":"Disorders of Space Exploration and Cognition","author":"E De Renzi","year":"1982","unstructured":"De Renzi, E. (1982). Disorders of Space Exploration and Cognition. Wiley."},{"key":"699_CR7","first-page":"81","volume-title":"Neurobiology of Huntington\u2019s Disease","author":"RAG De Souza","year":"2014","unstructured":"De Souza, R. A. G., & Leavitt, B. R. (2014). Neurobiology of Huntington\u2019s Disease (pp. 81\u2013100). Springer."},{"issue":"3","key":"699_CR8","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., et al. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage, 31(3), 968\u2013980.","journal-title":"NeuroImage"},{"issue":"9","key":"699_CR9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0074131","volume":"8","author":"D Dom\u00ednguez","year":"2013","unstructured":"Dom\u00ednguez, D., Juan, F., et al. (2013). Multi-modal neuroimaging in premanifest and early Huntington\u2019s disease: 18 month longitudinal data from the IMAGE-HD study. PLoS One, 8(9), e74131.","journal-title":"PLoS One"},{"issue":"6","key":"699_CR10","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1192\/bjp.bp.114.156588","volume":"208","author":"JF Dominguez","year":"2016","unstructured":"Dominguez, J. F., et al. (2016). Multimodal imaging biomarkers in premanifest and early Huntington\u2019s disease: 30-month IMAGE-HD data. The British Journal of Psychiatry, 208(6), 571\u2013578.","journal-title":"The British Journal of Psychiatry"},{"issue":"4","key":"699_CR11","doi-asserted-by":"publisher","first-page":"958","DOI":"10.1016\/j.neuroimage.2009.03.044","volume":"46","author":"G Douaud","year":"2009","unstructured":"Douaud, G., et al. (2009). In vivo evidence for the selective subcortical degeneration in Huntington\u2019s disease. NeuroImage, 46(4), 958\u2013966.","journal-title":"NeuroImage"},{"issue":"1","key":"699_CR12","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1002\/hbm.21205","volume":"33","author":"EM Dumas","year":"2012","unstructured":"Dumas, E. M., et al. (2012). Early changes in white matter pathways of the sensorimotor cortex in premanifest Huntington\u2019s disease. Human Brain Mapping, 33(1), 203\u2013212.","journal-title":"Human Brain Mapping"},{"issue":"6","key":"699_CR13","doi-asserted-by":"publisher","first-page":"626","DOI":"10.1016\/j.conb.2005.10.015","volume":"15","author":"L Fogassi","year":"2005","unstructured":"Fogassi, L., & Luppino, G. (2005). Motor functions of the parietal lobe. Current Opinion in Neurobiology, 15(6), 626\u2013631.","journal-title":"Current Opinion in Neurobiology"},{"key":"699_CR14","doi-asserted-by":"crossref","unstructured":"Georgiou-Karistianis, N., & Egan, G. F. (2011). Connectivity-based segmentation of the striatum in Huntington\u2019s disease: vulnerability of motor pathways. Neurobiology of Disease, 42(3), 475\u2013481.","DOI":"10.1016\/j.nbd.2011.02.010"},{"issue":"5","key":"699_CR15","doi-asserted-by":"publisher","first-page":"1847","DOI":"10.1002\/hbm.22296","volume":"35","author":"N Georgiou-Karistianis","year":"2014","unstructured":"Georgiou-Karistianis, N., et al. (2014). Functional Magnetic resonance imaging of working memory in Huntington\u2019s disease: Cross-sectional data from the IMAGE-HD study. Human Brain Mapping, 35(5), 1847\u20131864.","journal-title":"Human Brain Mapping"},{"key":"699_CR16","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.nbd.2012.10.001","volume":"51","author":"N Georgiou-Karistianis","year":"2013","unstructured":"Georgiou-Karistianis, N., Gray, M. A., et al. (2013a). Automated differentiation of pre-diagnosis huntington\u2019s disease from healthy control individuals based on quadratic discriminant analysis of the basal Ganglia: The IMAGE-HD study. Neurobiology of Disease, 51, 82\u201392.","journal-title":"Neurobiology of Disease"},{"issue":"3","key":"699_CR17","doi-asserted-by":"publisher","first-page":"480","DOI":"10.1016\/j.neubiorev.2013.01.022","volume":"37","author":"N Georgiou-Karistianis","year":"2013","unstructured":"Georgiou-Karistianis, N., Scahill, R., et al. (2013b). Structural MRI in Huntington\u2019s disease and recommendations for its potential use in clinical trials. Neuroscience and Biobehavioral Reviews, 37(3), 480\u2013490.","journal-title":"Neuroscience and Biobehavioral Reviews"},{"key":"699_CR18","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1016\/j.nicl.2012.12.001","volume":"2","author":"NZ Hobbs","year":"2013","unstructured":"Hobbs, N. Z., et al. (2013). Evaluation of multi-modal, multi-site neuroimaging measures in Huntington\u2019s disease: Baseline results from the PADDINGTON study. NeuroImage: Clinical, 2, 204\u201311.","journal-title":"NeuroImage: Clinical"},{"issue":"1","key":"699_CR19","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/0006-3223(91)90211-4","volume":"29","author":"TL Jernigan","year":"1991","unstructured":"Jernigan, T. L., Salmon, D. P., Butters, N., & Hesselink, J. R. (1991). Cerebral structure on MRI, Part II: Specific changes in Alzheimer\u2019s and Huntington\u2019s diseases. Biological Psychiatry, 29(1), 68\u201381.","journal-title":"Biological Psychiatry"},{"issue":"8","key":"699_CR20","doi-asserted-by":"publisher","first-page":"936","DOI":"10.1016\/j.cortex.2008.05.002","volume":"44","author":"DK Jones","year":"2008","unstructured":"Jones, D. K. (2008). Studying connections in the living human brain with diffusion MRI. Cortex, 44(8), 936\u201352.","journal-title":"Cortex"},{"key":"699_CR21","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.brainres.2013.03.052","volume":"1515","author":"S Kitamura","year":"2013","unstructured":"Kitamura, S., et al. (2013). Longitudinal white matter changes in Alzheimer\u2019s disease: A tractography-based analysis study. Brain Research, 1515, 12\u201318.","journal-title":"Brain Research"},{"issue":"1","key":"699_CR22","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1093\/brain\/awm275","volume":"131","author":"S Kl\u00f6ppel","year":"2008","unstructured":"Kl\u00f6ppel, S., et al. (2008). White matter connections reflect changes in voluntary-guided saccades in pre-symptomatic Huntington\u2019s disease. Brain, 131(1), 196\u2013204.","journal-title":"Brain"},{"key":"699_CR23","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.parkreldis.2016.09.005","volume":"32","author":"W Liu","year":"2016","unstructured":"Liu, W., et al. (2016). Diffusion imaging studies of huntington\u2019s disease: A meta-analysis. Parkinsonism & Related Disorders, 32, 94\u2013101.","journal-title":"Parkinsonism & Related Disorders"},{"issue":"3","key":"699_CR24","doi-asserted-by":"publisher","first-page":"867","DOI":"10.1148\/radiol.2322030820","volume":"232","author":"M Mascalchi","year":"2004","unstructured":"Mascalchi, M., et al. (2004). Huntington disease: Volumetric, diffusion-weighted, and magnetization transfer MR imaging of brain. Radiology, 232(3), 867\u2013873.","journal-title":"Radiology"},{"key":"699_CR25","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1016\/j.nicl.2016.12.012","volume":"13","author":"CD Mayo","year":"2017","unstructured":"Mayo, C. D., et al. (2017). Longitudinal changes in microstructural white matter metrics in Alzheimer\u2019s disease. NeuroImage: Clinical, 13, 330\u201338.","journal-title":"NeuroImage: Clinical"},{"issue":"10","key":"699_CR26","doi-asserted-by":"publisher","first-page":"3327","DOI":"10.1007\/s00330-015-4178-1","volume":"26","author":"JP Mole","year":"2016","unstructured":"Mole, J. P., et al. (2016). Increased fractional anisotropy in the motor tracts of Parkinson\u2019s disease suggests compensatory neuroplasticity or selective neurodegeneration. European Radiology, 26(10), 3327\u20133335.","journal-title":"European Radiology"},{"key":"699_CR27","volume-title":"MRI Atlas of Human White Matter","author":"S Mori","year":"2005","unstructured":"Mori, S., Wakana, S., Van Zijl, P. C. M., & Nagae-Poetscher, L. M. (2005). MRI Atlas of Human White Matter. Elsevier."},{"issue":"1","key":"699_CR28","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.biopsych.2005.06.003","volume":"59","author":"JS Paulsen","year":"2006","unstructured":"Paulsen, J. S., et al. (2006). Brain structure in preclinical Huntington\u2019s disease. Biological Psychiatry, 59(1), 57\u201363.","journal-title":"Biological Psychiatry"},{"issue":"3\u20134","key":"699_CR29","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.brainresbull.2010.04.003","volume":"82","author":"JS Paulsen","year":"2010","unstructured":"Paulsen, J. S., et al. (2010). Striatal and white matter predictors of estimated diagnosis for Huntington disease. Brain Research Bulletin, 82(3\u20134), 201\u2013207.","journal-title":"Brain Research Bulletin"},{"issue":"2","key":"699_CR30","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1002\/1522-2594(200008)44:2<259::AID-MRM13>3.0.CO;2-6","volume":"44","author":"A Pfefferbaum","year":"2000","unstructured":"Pfefferbaum, A., et al. (2000). Age-related decline in brain white matter anisotropy measured with spatially corrected echo-planar diffusion tensor imaging. Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine, 44(2), 259\u2013268.","journal-title":"Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine"},{"issue":"9","key":"699_CR31","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0073280","volume":"8","author":"O Phillips","year":"2013","unstructured":"Phillips, O., et al. (2013). Tractography of the Corpus Callosum in Huntington\u2019s Disease. PLoS One, 8(9), e73280.","journal-title":"PLoS One"},{"key":"699_CR32","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1016\/j.nbd.2014.01.013","volume":"65","author":"GR Poudel","year":"2014","unstructured":"Poudel, G. R., et al. (2014). White matter connectivity reflects clinical and cognitive status in Huntington\u2019s disease. Neurobiology of Disease, 65, 180\u2013187.","journal-title":"Neurobiology of Disease"},{"key":"699_CR33","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1016\/j.nbd.2014.12.009","volume":"74","author":"GR Poudel","year":"2015","unstructured":"Poudel, G. R., Stout, J. C., Churchyard, A., et al. (2015b). Longitudinal change in white matter microstructure in Huntington\u2019s disease: The IMAGE-HD study. Neurobiology of Disease, 74, 406\u2013412.","journal-title":"Neurobiology of Disease"},{"issue":"1","key":"699_CR34","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1007\/s00429-013-0670-z","volume":"220","author":"GR Poudel","year":"2015","unstructured":"Poudel, G. R., Stout, J. C., Gray, M. A., et al. (2015a). Functional changes during working memory in Huntington\u2019s disease: 30-month longitudinal data from the IMAGE-HD study. Brain Structure and Function, 220(1), 501\u2013512.","journal-title":"Brain Structure and Function"},{"issue":"10","key":"699_CR35","doi-asserted-by":"publisher","first-page":"4150","DOI":"10.1002\/hbm.24239","volume":"39","author":"V Pozorski","year":"2018","unstructured":"Pozorski, V., et al. (2018). Longitudinal white matter microstructural change in Parkinson\u2019s disease. Human Brain Mapping, 39(10), 4150\u20134161.","journal-title":"Human Brain Mapping"},{"issue":"1","key":"699_CR36","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0187939","volume":"13","author":"I Rektor","year":"2018","unstructured":"Rektor, I., et al. (2018). White matter alterations in Parkinson\u2019s disease with normal cognition precede grey matter atrophy. PLoS One, 13(1), e0187939.","journal-title":"PLoS One"},{"issue":"9","key":"699_CR37","doi-asserted-by":"publisher","first-page":"1317","DOI":"10.1002\/mds.20979","volume":"21","author":"HD Rosas","year":"2006","unstructured":"Rosas, H. D., et al. (2006). Diffusion tensor imaging in presymptomatic and early Huntington\u2019s disease: Selective white matter pathology and its relationship to clinical measures. Movement Disorders: Official Journal of the Movement Disorder Society, 21(9), 1317\u20131325.","journal-title":"Movement Disorders: Official Journal of the Movement Disorder Society"},{"issue":"4","key":"699_CR38","doi-asserted-by":"publisher","first-page":"2995","DOI":"10.1016\/j.neuroimage.2009.10.015","volume":"49","author":"HD Rosas","year":"2010","unstructured":"Rosas, H. D., et al. (2010). Altered white matter microstructure in the corpus callosum in Huntington\u2019s disease: Implications for cortical \u2018disconnection.\u2019 NeuroImage, 49(4), 2995\u20133004.","journal-title":"NeuroImage"},{"issue":"7","key":"699_CR39","doi-asserted-by":"publisher","first-page":"1043","DOI":"10.1002\/mds.20868","volume":"21","author":"K Seppi","year":"2006","unstructured":"Seppi, K., et al. (2006). Diffusion-weighted imaging in Huntington\u2019s disease. Movement Disorders: Official Journal of the Movement Disorder Society, 21(7), 1043\u20131047.","journal-title":"Movement Disorders: Official Journal of the Movement Disorder Society"},{"key":"699_CR40","doi-asserted-by":"crossref","unstructured":"Shishegar, R., et al. (2017). \u201cAutomatic Segmentation of Fetal Brain Using Diffusion-Weighted Imaging Cues.\u201d In Proceedings - International Symposium on Biomedical Imaging (ISBI), IEEE, 804\u20137.","DOI":"10.1109\/ISBI.2017.7950640"},{"issue":"3","key":"699_CR41","doi-asserted-by":"publisher","first-page":"1924","DOI":"10.1016\/j.neuroimage.2012.06.005","volume":"62","author":"RE Smith","year":"2012","unstructured":"Smith, R. E., Tournier, J.-D., Calamante, F., & Connelly, A. (2012). Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information. NeuroImage, 62(3), 1924\u20131938.","journal-title":"NeuroImage"},{"issue":"3","key":"699_CR42","doi-asserted-by":"publisher","first-page":"1714","DOI":"10.1016\/j.neuroimage.2003.07.005","volume":"20","author":"S-K Song","year":"2003","unstructured":"Song, S.-K., et al. (2003). Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia. NeuroImage, 20(3), 1714\u20131722.","journal-title":"NeuroImage"},{"issue":"1","key":"699_CR43","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.neuroimage.2005.01.028","volume":"26","author":"S-K Song","year":"2005","unstructured":"Song, S.-K., et al. (2005). Demyelination increases radial diffusivity in corpus callosum of mouse brain. NeuroImage, 26(1), 132\u2013140.","journal-title":"NeuroImage"},{"issue":"3","key":"699_CR44","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1111\/jon.12699","volume":"30","author":"W Sweidan","year":"2020","unstructured":"Sweidan, W., Bao, F., Bozorgzad, N.-S., & George, E. (2020). White and gray matter abnormalities in manifest Huntington\u2019s disease: Cross-sectional and longitudinal analysis. Journal of Neuroimaging, 30(3), 351\u2013358.","journal-title":"Journal of Neuroimaging"},{"key":"699_CR45","doi-asserted-by":"crossref","unstructured":"Tabrizi, S. J., Langbehn, D. R., Leavitt, B. R., Roos, R. A., Durr, A., Craufurd, D., ... & Stout, J. C.\u00a0(2009). Biological and clinical manifestations of Huntington\u2019s disease in the longitudinal TRACK-HD study: cross-sectional analysis of baseline data. The Lancet Neurology, 8(9), 791\u2013801.","DOI":"10.1016\/S1474-4422(09)70170-X"},{"issue":"1","key":"699_CR46","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/S1474-4422(10)70276-3","volume":"10","author":"SJ Tabrizi","year":"2011","unstructured":"Tabrizi, S. J., et al. (2011). Biological and clinical changes in premanifest and early stage Huntington\u2019s disease in the TRACK-HD study: The 12-month longitudinal analysis. The Lancet Neurology, 10(1), 31\u201342.","journal-title":"The Lancet Neurology"},{"issue":"1","key":"699_CR47","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/S1474-4422(11)70263-0","volume":"11","author":"SJ Tabrizi","year":"2012","unstructured":"Tabrizi, S. J., et al. (2012). Potential endpoints for clinical trials in premanifest and early Huntington\u2019s disease in the TRACK-HD study: Analysis of 24 month observational data. The Lancet Neurology, 11(1), 42\u201353.","journal-title":"The Lancet Neurology"},{"issue":"18","key":"699_CR48","doi-asserted-by":"publisher","first-page":"e1908","DOI":"10.1212\/WNL.0000000000009364","volume":"94","author":"AV Tereshchenko","year":"2020","unstructured":"Tereshchenko, A. V., et al. (2020). Abnormal development of cerebellar-striatal circuitry in Huntington disease. Neurology, 94(18), e1908\u2013e1915.","journal-title":"Neurology"},{"key":"699_CR49","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.116137","volume":"202","author":"J-D Tournier","year":"2019","unstructured":"Tournier, J.-D., et al. (2019). MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. NeuroImage, 202, 116137.","journal-title":"NeuroImage"},{"issue":"10","key":"699_CR50","doi-asserted-by":"publisher","first-page":"e1021","DOI":"10.1212\/WNL.0000000000008066","volume":"93","author":"E van der Plas","year":"2019","unstructured":"van der Plas, E., et al. (2019). Abnormal brain development in child and adolescent carriers of mutant huntingtin. Neurology, 93(10), e1021\u2013e1030.","journal-title":"Neurology"},{"issue":"2","key":"699_CR51","doi-asserted-by":"publisher","first-page":"525","DOI":"10.1016\/j.expneurol.2008.12.026","volume":"216","author":"KE Weaver","year":"2009","unstructured":"Weaver, K. E., et al. (2009). Longitudinal diffusion tensor imaging in Huntington\u2019s disease. Experimental Neurology, 216(2), 525\u2013529.","journal-title":"Experimental Neurology"},{"issue":"5","key":"699_CR52","doi-asserted-by":"publisher","first-page":"1255","DOI":"10.1002\/mrm.21965","volume":"61","author":"CAM Wheeler-Kingshott","year":"2009","unstructured":"Wheeler-Kingshott, C. A. M., & Cercignani, M. (2009). About \u2018axial\u2019 and \u2018radial\u2019 diffusivities. Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine, 61(5), 1255\u20131260.","journal-title":"Magnetic Resonance in Medicine: An Official Journal of the International Society for Magnetic Resonance in Medicine"}],"container-title":["Brain Imaging and Behavior"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-022-00699-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11682-022-00699-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11682-022-00699-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T12:57:24Z","timestamp":1669899444000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11682-022-00699-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,29]]},"references-count":52,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["699"],"URL":"https:\/\/doi.org\/10.1007\/s11682-022-00699-6","relation":{},"ISSN":["1931-7557","1931-7565"],"issn-type":[{"value":"1931-7557","type":"print"},{"value":"1931-7565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,29]]},"assertion":[{"value":"6 June 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 June 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Ethical Approval was provided by the Monash University Human Research Ethics Review Committee (Project ID: 14105).","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"This study used data collected for the IMAGE-HD study, as such informed consent had previously been obtained.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"As above.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to publish"}},{"value":"The authors declare no conflicts of interest.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"None of the authors have a conflict of interest to declare.","order":6,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest disclosure"}}]}}