{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T20:21:32Z","timestamp":1788985292692,"version":"build-2803163510"},"reference-count":45,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100000261","name":"MS Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000261","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Neuroscience Methods"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1016\/j.jneumeth.2025.110562","type":"journal-article","created":{"date-parts":[[2025,8,29]],"date-time":"2025-08-29T15:04:37Z","timestamp":1756479877000},"page":"110562","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["Advanced brain diffusion MRI and image texture measures have the potential to predict multi-domain functional outcomes in multiple sclerosis"],"prefix":"10.1016","volume":"424","author":[{"given":"Olayinka","family":"Oladosu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7440-5420","authenticated-orcid":false,"given":"Yunyan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.jneumeth.2025.110562_bib1","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1016\/j.nurt.2007.05.011","article-title":"Diffusion tensor imaging of the brain","volume":"4","author":"Alexander","year":"2007","journal-title":"Neurotherapeutics"},{"key":"10.1016\/j.jneumeth.2025.110562_bib2","unstructured":"Atlas of MS (No. 3rd Edition). (2020). The Multiple Sclerosis International Federation. \u3008https:\/\/www.msif.org\/wp-content\/uploads\/2020\/12\/Atlas-3rd-Edition-Epidemiology-report-EN-updated-30-9-20.pdf\u3009."},{"key":"10.1016\/j.jneumeth.2025.110562_bib3","doi-asserted-by":"crossref","first-page":"1673","DOI":"10.1109\/ICIP.2015.7351085","article-title":"Accelerated microstructure imaging via convex optimisation for regions with multiple fibres (AMICOx)","author":"Auria","year":"2015","journal-title":"2015 IEEE International Conference on Image Processing (ICIP)"},{"issue":"1","key":"10.1016\/j.jneumeth.2025.110562_bib4","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.media.2007.06.004","article-title":"Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain","volume":"12","author":"Avants","year":"2008","journal-title":"Med. Image Anal."},{"issue":"1","key":"10.1016\/j.jneumeth.2025.110562_bib5","doi-asserted-by":"crossref","first-page":"31","DOI":"10.2174\/1874205X01812010031","article-title":"The rationale for monitoring cognitive function in multiple sclerosis: practical issues for clinicians","volume":"12","author":"Bakirtzis","year":"2018","journal-title":"Open Neurol. J."},{"issue":"10","key":"10.1016\/j.jneumeth.2025.110562_bib6","doi-asserted-by":"crossref","first-page":"2243","DOI":"10.1007\/s00415-018-8980-y","article-title":"Multimodal assessment of normal-appearing corpus callosum is a useful marker of disability in relapsing\u2013remitting multiple sclerosis: an MRI cluster analysis study","volume":"265","author":"Barone","year":"2018","journal-title":"J. Neurol."},{"key":"10.1016\/j.jneumeth.2025.110562_bib7","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2021.665017","article-title":"Modern technology in multi-shell diffusion MRI reveals diffuse white matter changes in young adults with relapsing-remitting multiple sclerosis","volume":"15","author":"Beaudoin","year":"2021","journal-title":"Front. Neurosci."},{"issue":"3","key":"10.1016\/j.jneumeth.2025.110562_bib8","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1076\/clin.16.3.381.13859","article-title":"Minimal neuropsychological assessment of MS patients: a consensus approach","volume":"16","author":"Benedict","year":"2002","journal-title":"Clin. Neuropsychol."},{"issue":"JULY","key":"10.1016\/j.jneumeth.2025.110562_bib9","article-title":"Association between white matter microstructure and verbal fluency in patients with multiple sclerosis","volume":"10","author":"Blecher","year":"2019","journal-title":"Front. Psychol."},{"key":"10.1016\/j.jneumeth.2025.110562_bib10","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.nicl.2014.11.008","article-title":"The relationship between regional microstructural abnormalities of the corpus callosum and physical and cognitive disability in relapsing\u2013remitting multiple sclerosis","volume":"7","author":"Caligiuri","year":"2015","journal-title":"NeuroImage Clin."},{"issue":"12","key":"10.1016\/j.jneumeth.2025.110562_bib11","doi-asserted-by":"crossref","first-page":"1139","DOI":"10.1016\/S1474-4422(08)70259-X","article-title":"Cognitive impairment in multiple sclerosis","volume":"7","author":"Chiaravalloti","year":"2008","journal-title":"Lancet Neurol."},{"key":"10.1016\/j.jneumeth.2025.110562_bib12","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.neuroimage.2014.10.026","article-title":"Accelerated microstructure imaging via convex optimization (AMICO) from diffusion MRI data","volume":"105","author":"Daducci","year":"2015","journal-title":"NeuroImage"},{"key":"10.1016\/j.jneumeth.2025.110562_bib13","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.neuroscience.2018.03.048","article-title":"Characterizing microstructural tissue properties in multiple sclerosis with diffusion MRI at 7 t and 3 T: the impact of the experimental design","volume":"403","author":"De Santis","year":"2019","journal-title":"Neuroscience"},{"key":"10.1016\/j.jneumeth.2025.110562_bib14","series-title":"Wiley Encyclopedia of Electrical and Electronics Engineering","first-page":"1","article-title":"High angular resolution diffusion imaging (HARDI)","author":"Descoteaux","year":"2015"},{"issue":"3","key":"10.1016\/j.jneumeth.2025.110562_bib15","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1002\/mrm.21277","article-title":"Regularized, fast, and robust analytical Q-ball imaging","volume":"58","author":"Descoteaux","year":"2007","journal-title":"Magn. Reson. Med."},{"issue":"1","key":"10.1016\/j.jneumeth.2025.110562_bib16","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1038\/s41572-018-0041-4","article-title":"Multiple sclerosis","volume":"4","author":"Filippi","year":"2018","journal-title":"Nat. Rev. Dis. Prim."},{"issue":"7","key":"10.1016\/j.jneumeth.2025.110562_bib17","doi-asserted-by":"crossref","first-page":"1858","DOI":"10.1093\/brain\/awz144","article-title":"Assessment of lesions on magnetic resonance imaging in multiple sclerosis: practical guidelines","volume":"142","author":"Filippi","year":"2019","journal-title":"Brain"},{"key":"10.1016\/j.jneumeth.2025.110562_bib18","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.nicl.2017.09.027","article-title":"Fibre-specific white matter changes in multiple sclerosis patients with optic neuritis","volume":"17","author":"Gajamange","year":"2018","journal-title":"NeuroImage Clin."},{"key":"10.1016\/j.jneumeth.2025.110562_bib19","doi-asserted-by":"crossref","DOI":"10.1016\/j.jneumeth.2022.109671","article-title":"Texture analysis in brain T2 and diffusion MRI differentiates histology-verified grey and White matter pathology types in multiple sclerosis","volume":"379","author":"Hosseinpour","year":"2022","journal-title":"J. Neurosci. Methods"},{"issue":"1","key":"10.1016\/j.jneumeth.2025.110562_bib20","doi-asserted-by":"crossref","DOI":"10.1117\/1.JMI.5.1.011015","article-title":"Combining multiparametric MRI with receptor information to optimize prediction of pathologic response to neoadjuvant therapy in breast cancer: preliminary results","volume":"5","author":"Kang","year":"2017","journal-title":"J. Med. Imaging"},{"issue":"2","key":"10.1016\/j.jneumeth.2025.110562_bib21","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1007\/s004260000024","article-title":"Phase congruency: a low-level image invariant","volume":"64","author":"Kovesi","year":"2000","journal-title":"Psychol. Res."},{"issue":"11","key":"10.1016\/j.jneumeth.2025.110562_bib22","doi-asserted-by":"crossref","DOI":"10.1212\/WNL.33.11.1444","article-title":"Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS)","volume":"33","author":"Kurtzke","year":"1983","journal-title":"Neurology"},{"issue":"9","key":"10.1016\/j.jneumeth.2025.110562_bib23","doi-asserted-by":"crossref","first-page":"3147","DOI":"10.1093\/brain\/awac016","article-title":"How patients with multiple sclerosis acquire disability","volume":"145","author":"Lublin","year":"2022","journal-title":"Brain"},{"issue":"6","key":"10.1016\/j.jneumeth.2025.110562_bib24","doi-asserted-by":"crossref","first-page":"872","DOI":"10.1093\/gerona\/glac209","article-title":"Regional neuroanatomic effects on brain age inferred using magnetic resonance imaging and ridge regression","volume":"78","author":"Massett","year":"2023","journal-title":"J. Gerontol. Ser. A"},{"issue":"2","key":"10.1016\/j.jneumeth.2025.110562_bib25","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1007\/s00415-005-0963-0","article-title":"Unrecognised symptoms of depression in a community\u2013based population with multiple sclerosis","volume":"253","author":"McGuigan","year":"2006","journal-title":"J. Neurol."},{"key":"10.1016\/j.jneumeth.2025.110562_bib26","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.mri.2023.03.023","article-title":"Neural network algorithms predict new diffusion MRI data for multi-compartmental analysis of brain microstructure in a clinical setting","volume":"102","author":"Murray","year":"2023","journal-title":"Magn. Reson. Imaging"},{"key":"10.1016\/j.jneumeth.2025.110562_bib27","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2021.634063","article-title":"Advanced analysis of diffusion tensor imaging along with machine learning provides new sensitive measures of tissue pathology and Intra-Lesion activity in multiple sclerosis","volume":"15","author":"Oladosu","year":"2021","journal-title":"Front. Neurosci."},{"key":"10.1016\/j.jneumeth.2025.110562_bib28","doi-asserted-by":"crossref","DOI":"10.3389\/fnhum.2022.944908","article-title":"Advanced diffusion MRI and image texture analysis detect widespread brain structural differences between relapsing-remitting and secondary progressive multiple sclerosis","volume":"16","author":"Oladosu","year":"2022","journal-title":"Front. Hum. Neurosci."},{"issue":"12","key":"10.1016\/j.jneumeth.2025.110562_bib29","doi-asserted-by":"crossref","first-page":"1627","DOI":"10.1177\/1352458517729465","article-title":"Clinical outcome measures for progressive MS trials","volume":"23","author":"Ontaneda","year":"2017","journal-title":"Mult. Scler."},{"key":"10.1016\/j.jneumeth.2025.110562_bib30","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2022.119636","article-title":"Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI","volume":"263","author":"Ooi","year":"2022","journal-title":"NeuroImage"},{"issue":"2","key":"10.1016\/j.jneumeth.2025.110562_bib31","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1177\/1352458509353649","article-title":"MRI of the corpus callosum in multiple sclerosis: association with disability","volume":"16","author":"Ozturk","year":"2010","journal-title":"Mult. Scler. J."},{"issue":"1","key":"10.1016\/j.jneumeth.2025.110562_bib32","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-018-20343-y","article-title":"Evaluating upper limb impairments in multiple sclerosis by exposure to different mechanical environments","volume":"8","author":"Pellegrino","year":"2018","journal-title":"Sci. Rep."},{"issue":"17 Supplement 3","key":"10.1016\/j.jneumeth.2025.110562_bib33","first-page":"S8","article-title":"The multiple sclerosis functional composite: a clinically meaningful measure of disability","volume":"74","author":"Polman","year":"2010","journal-title":"Neurology"},{"issue":"2","key":"10.1016\/j.jneumeth.2025.110562_bib34","doi-asserted-by":"crossref","first-page":"810","DOI":"10.1007\/s00415-022-11415-1","article-title":"NODDI, diffusion tensor microstructural abnormalities and atrophy of brain White matter and gray matter contribute to cognitive impairment in multiple sclerosis","volume":"270","author":"Preziosa","year":"2023","journal-title":"J. Neurol."},{"issue":"2","key":"10.1016\/j.jneumeth.2025.110562_bib35","doi-asserted-by":"crossref","first-page":"333","DOI":"10.3174\/ajnr.A0788","article-title":"Corticospinal tract abnormalities are associated with weakness in multiple sclerosis","volume":"29","author":"Reich","year":"2008","journal-title":"Am. J. Neuroradiol."},{"issue":"8","key":"10.1016\/j.jneumeth.2025.110562_bib36","doi-asserted-by":"crossref","first-page":"998","DOI":"10.1001\/archneurol.2009.107","article-title":"Damage to the optic radiation in multiple sclerosis is associated with retinal injury and visual disability","volume":"66","author":"Reich","year":"2009","journal-title":"Arch. Neurol."},{"key":"10.1016\/j.jneumeth.2025.110562_bib37","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2015\/424970","article-title":"Application of phase congruency for discriminating some lung diseases using chest radiograph","volume":"2015","author":"Rijal","year":"2015","journal-title":"Comput. Math. Methods Med."},{"key":"10.1016\/j.jneumeth.2025.110562_bib38","unstructured":"Schmidt, P. (2017). Bayesian inference for structured additive regression models for large-scale problems with applications to medical imaging [Text.PhD Thesis, Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen]. \u3008https:\/\/edoc.ub.uni-muenchen.de\/20373\/\u3009."},{"issue":"1","key":"10.1016\/j.jneumeth.2025.110562_bib39","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1063\/1.1695690","article-title":"Spin diffusion measurements: spin echoes in the presence of a time-dependent field gradient","volume":"42","author":"Stejskal","year":"1965","journal-title":"J. Chem. Phys."},{"issue":"1","key":"10.1016\/j.jneumeth.2025.110562_bib40","doi-asserted-by":"crossref","first-page":"W26","DOI":"10.2214\/AJR.13.11365","article-title":"Diffusion kurtosis imaging: an emerging technique for evaluating the microstructural environment of the brain","volume":"202","author":"Steven","year":"2014","journal-title":"Am. J. Roentgenol."},{"issue":"2","key":"10.1016\/j.jneumeth.2025.110562_bib41","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1111\/jon.12171","article-title":"Diffuse and focal corticospinal tract disease and its impact on patient disability in multiple sclerosis","volume":"25","author":"Tovar-Moll","year":"2015","journal-title":"J. Neuroimaging Off. J. Am. Soc. Neuroimaging"},{"issue":"4","key":"10.1016\/j.jneumeth.2025.110562_bib42","doi-asserted-by":"crossref","first-page":"452","DOI":"10.1136\/jnnp.63.4.452","article-title":"Survey of the distribution of lesion size in multiple sclerosis: implication for the measurement of total lesion load","volume":"63","author":"Wang","year":"1997","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"issue":"3","key":"10.1016\/j.jneumeth.2025.110562_bib43","doi-asserted-by":"crossref","first-page":"799","DOI":"10.1093\/brain\/112.3.799","article-title":"Hand and sex differences in the isthmus and genu of the human corpus callosum: a postmortem morphological study","volume":"112","author":"Witelson","year":"1989","journal-title":"Brain"},{"key":"10.1016\/j.jneumeth.2025.110562_bib44","first-page":"1","article-title":"MRI texture analysis in multiple sclerosis","volume":"2012","author":"Zhang","year":"2012","journal-title":"Int. J. Biomed. Imaging"},{"key":"10.1016\/j.jneumeth.2025.110562_bib45","doi-asserted-by":"crossref","DOI":"10.1016\/j.jneumeth.2021.109098","article-title":"Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging","volume":"353","author":"Zhang","year":"2021","journal-title":"J. Neurosci. Methods"}],"container-title":["Journal of Neuroscience Methods"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165027025002067?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0165027025002067?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T04:47:13Z","timestamp":1780634833000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0165027025002067"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":45,"alternative-id":["S0165027025002067"],"URL":"https:\/\/doi.org\/10.1016\/j.jneumeth.2025.110562","relation":{},"ISSN":["0165-0270"],"issn-type":[{"value":"0165-0270","type":"print"}],"subject":[],"published":{"date-parts":[[2025,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Advanced brain diffusion MRI and image texture measures have the potential to predict multi-domain functional outcomes in multiple sclerosis","name":"articletitle","label":"Article Title"},{"value":"Journal of Neuroscience Methods","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jneumeth.2025.110562","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110562"}}