{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T22:50:22Z","timestamp":1791327022310,"version":"4.3.1"},"reference-count":64,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T00:00:00Z","timestamp":1789430400000},"content-version":"vor","delay-in-days":257,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82371910"],"award-info":[{"award-number":["82371910"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFE0118600"],"award-info":[{"award-number":["2023YFE0118600"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage: Clinical"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1016\/j.nicl.2026.104065","type":"journal-article","created":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T06:36:48Z","timestamp":1789540608000},"page":"104065","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Macro\u2013Micro structural integration for characterizing severity-related structural alterations in mild cognitive impairment"],"prefix":"10.1016","volume":"52","author":[{"given":"Qichen","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Di","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruixi","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kun","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dawei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongxiang","family":"Yao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fangrong","family":"Zong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.nicl.2026.104065_bb0005","doi-asserted-by":"crossref","first-page":"2033","DOI":"10.1016\/j.neuroimage.2010.09.025","article-title":"A reproducible evaluation of ANTs similarity metric performance in brain image registration","volume":"54","author":"Avants","year":"2011","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2026.104065_bb0010","doi-asserted-by":"crossref","DOI":"10.3389\/fnhum.2025.1552178","article-title":"Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging","volume":"19","author":"Bhattacharya","year":"2025","journal-title":"Front. Hum. Neurosci."},{"key":"10.1016\/j.nicl.2026.104065_bb0015","series-title":"XGBoost: A Scalable Tree Boosting System","author":"Chen","year":"2016"},{"key":"10.1016\/j.nicl.2026.104065_bb0020","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2020.570123","article-title":"Aberrant white matter microstructure as a potential diagnostic marker in Alzheimers disease by automated fiber quantification","volume":"14","author":"Chen","year":"2020","journal-title":"Front. Neurosci."},{"issue":"4","key":"10.1016\/j.nicl.2026.104065_bb0025","doi-asserted-by":"crossref","first-page":"1179","DOI":"10.1002\/hbm.25688","article-title":"Mitigating site effects in covariance for machine learning in neuroimaging data","volume":"43","author":"Chen","year":"2022","journal-title":"Hum. Brain Mapp."},{"issue":"3","key":"10.1016\/j.nicl.2026.104065_bb0030","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1023\/A:1022627411411","article-title":"Support-vector networks","volume":"20","author":"Cortes","year":"1995","journal-title":"Mach. Learn."},{"issue":"24","key":"10.1016\/j.nicl.2026.104065_bb0035","doi-asserted-by":"crossref","first-page":"24TR02","DOI":"10.1088\/1361-6560\/aba798","article-title":"Harmonization strategies for multicenter radiomics investigations","volume":"65","author":"Da-Ano","year":"2020","journal-title":"Phys. Med. Biol."},{"issue":"7","key":"10.1016\/j.nicl.2026.104065_bb0040","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1017\/S135561771700039X","article-title":"Statistically derived subtypes and associations with cerebrospinal fluid and genetic biomarkers in mild cognitive impairment: a latent profile analysis","volume":"23","author":"Eppig","year":"2017","journal-title":"J. Int. Neuropsychol. Soc."},{"issue":"3","key":"10.1016\/j.nicl.2026.104065_bb0045","doi-asserted-by":"crossref","first-page":"707","DOI":"10.3233\/JAD-150618","article-title":"Novel selective calpain 1 inhibitors as potential therapeutics in Alzheimers disease","volume":"49","author":"F\u00e0","year":"2015","journal-title":"J. Alzheimers Dis"},{"key":"10.1016\/j.nicl.2026.104065_bb0050","article-title":"Hippocampal atrophy has limited usefulness as a diagnostic biomarker on the early onset Alzheimers disease patients: a comparison between visual and quantitative assessment","volume":"23","author":"Falg\u00e0s","year":"2019","journal-title":"NeuroImage: Clinical."},{"issue":"9","key":"10.1016\/j.nicl.2026.104065_bb0055","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1016\/j.mri.2012.05.001","article-title":"3D slicer as an image computing platform for the quantitative imaging network","volume":"30","author":"Fedorov","year":"2012","journal-title":"Magn. Reson. Imaging"},{"issue":"8","key":"10.1016\/j.nicl.2026.104065_bb0060","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1097\/00019442-200508000-00003","article-title":"Mild cognitive impairment","volume":"13","author":"Feldman","year":"2005","journal-title":"Am. J. Geriatr. Psychiatry"},{"issue":"3","key":"10.1016\/j.nicl.2026.104065_bb0065","doi-asserted-by":"crossref","first-page":"849","DOI":"10.3233\/JAD-220197","article-title":"Quantitative MRI evidence for cognitive reserve in healthy elders and prodromal Alzheimers disease","volume":"89","author":"Fingerhut","year":"2022","journal-title":"J. Alzheimers Dis"},{"issue":"2","key":"10.1016\/j.nicl.2026.104065_bb0070","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1016\/j.neuroimage.2012.01.021","article-title":"Freesurfer","volume":"62","author":"Fischl","year":"2012","journal-title":"Neuroimage"},{"issue":"1","key":"10.1016\/j.nicl.2026.104065_bb0075","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1093\/cercor\/bhg087","article-title":"Automatically Parcellating the human cerebral cortex","volume":"14","author":"Fischl","year":"2004","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.nicl.2026.104065_bb0080","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.neuroimage.2017.08.047","article-title":"Harmonization of multi-site diffusion tensor imaging data","volume":"161","author":"Fortin","year":"2017","journal-title":"Neuroimage"},{"issue":"9518","key":"10.1016\/j.nicl.2026.104065_bb0085","doi-asserted-by":"crossref","first-page":"1262","DOI":"10.1016\/S0140-6736(06)68542-5","article-title":"Mild cognitive impairment","volume":"367","author":"Gauthier","year":"2006","journal-title":"Lancet"},{"issue":"1","key":"10.1016\/j.nicl.2026.104065_bb0090","doi-asserted-by":"crossref","first-page":"371","DOI":"10.3233\/JAD-200778","article-title":"Evidence for the utility of actuarial neuropsychological criteria across the continuum of normal aging, mild cognitive impairment, and dementia","volume":"78","author":"Graves","year":"2020","journal-title":"J. Alzheimers Dis"},{"issue":"5","key":"10.1016\/j.nicl.2026.104065_bb0095","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1176\/appi.ajp.2019.19050560","article-title":"Multimodal abnormalities of brain structure and function in major depressive disorder: a meta-analysis of neuroimaging studies","volume":"177","author":"Gray","year":"2020","journal-title":"Am. J. Psychiatry"},{"key":"10.1016\/j.nicl.2026.104065_bb0100","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2020.102359","article-title":"Imaging Alzheimers genetic risk using diffusion MRI: a systematic review","volume":"27","author":"Harrison","year":"2020","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.nicl.2026.104065_bb0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2022.105603","article-title":"Biomarkers identification for schizophrenia via VAE and GSDAE-based data augmentation","volume":"146","author":"Huang","year":"2022","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.nicl.2026.104065_bb0110","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.nicl.2014.11.019","article-title":"Linked alterations in gray and white matter morphology in adults with high-functioning autism spectrum disorder: a multimodal brain imaging study","volume":"7","author":"Itahashi","year":"2015","journal-title":"NeuroImage: Clinical."},{"issue":"4","key":"10.1016\/j.nicl.2026.104065_bb0115","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.jalz.2007.07.011","article-title":"Neuropsychological testing and assessment for dementia","volume":"3","author":"Jacova","year":"2007","journal-title":"Alzheimers Dement."},{"key":"10.1016\/j.nicl.2026.104065_bb0120","article-title":"Lightgbm: a highly efficient gradient boosting decision tree","volume":"30","author":"Ke","year":"2017","journal-title":"Adv. Neural Inf. Proces. Syst."},{"key":"10.1016\/j.nicl.2026.104065_bb0125","series-title":"Auto-encoding variational bayes","author":"Kingma","year":"2013"},{"key":"10.1016\/j.nicl.2026.104065_bb0130","series-title":"An introduction to variational autoencoders","author":"Kingma","year":"2019"},{"issue":"2","key":"10.1016\/j.nicl.2026.104065_bb0135","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1016\/j.neuroimage.2010.07.034","article-title":"Partial least squares (PLS) methods for neuroimaging: a tutorial and review","volume":"56","author":"Krishnan","year":"2011","journal-title":"Neuroimage"},{"issue":"4","key":"10.1016\/j.nicl.2026.104065_bb0140","doi-asserted-by":"crossref","first-page":"534","DOI":"10.1002\/jmri.1076","article-title":"Diffusion tensor imaging: concepts and applications","volume":"13","author":"Le Bihan","year":"2001","journal-title":"J. Magn. Reson. Imaging"},{"issue":"1","key":"10.1016\/j.nicl.2026.104065_bb0145","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1186\/s40035-022-00315-z","article-title":"A review of brain imaging biomarker genomics in Alzheimers disease: implementation and perspectives","volume":"11","author":"Li","year":"2022","journal-title":"Transl. Neurodegener."},{"key":"10.1016\/j.nicl.2026.104065_bb0150","article-title":"Fusion analysis of gray matter and white matter in subjective cognitive decline and mild cognitive impairment by multimodal CCA-joint ICA","volume":"32","author":"Liang","year":"2021","journal-title":"NeuroImage: Clinical."},{"key":"10.1016\/j.nicl.2026.104065_bb0155","doi-asserted-by":"crossref","first-page":"1073039","DOI":"10.3389\/fnagi.2023.1073039","article-title":"Multimodality neuroimaging in vascular mild cognitive impairment: a narrative review of current evidence","volume":"15","author":"Liu","year":"2023","journal-title":"Front. Aging Neurosci."},{"issue":"1","key":"10.1016\/j.nicl.2026.104065_bb0160","doi-asserted-by":"crossref","first-page":"737","DOI":"10.1007\/s12672-024-01644-3","article-title":"Deciphering the causal landscape: genetic insights into sporadic vestibular schwannoma risk factors through Mendelian randomization","volume":"15","author":"Liu","year":"2024","journal-title":"Discov. Oncol."},{"issue":"1","key":"10.1016\/j.nicl.2026.104065_bb0165","article-title":"White matter changes in empirically derived incident MCI subtypes in the Mayo Clinic study of aging","volume":"13","author":"Machulda","year":"2021","journal-title":"Alzheimers & Dementia: Diagnosis, Assessment & Disease Monitoring"},{"issue":"8","key":"10.1016\/j.nicl.2026.104065_bb0170","doi-asserted-by":"crossref","first-page":"490","DOI":"10.1007\/s00415-025-13215-9","article-title":"Multiparametric MRI-based biomarkers in the non-fluent and semantic variants of primary progressive aphasia","volume":"272","author":"Michelutti","year":"2025","journal-title":"J. Neurol."},{"key":"10.1016\/j.nicl.2026.104065_bb0175","doi-asserted-by":"crossref","first-page":"14","DOI":"10.3389\/fnins.2016.00014","article-title":"Structural brain network characteristics can differentiate CIS from early RRMS","volume":"10","author":"Muthuraman","year":"2016","journal-title":"Front. Neurosci."},{"issue":"1","key":"10.1016\/j.nicl.2026.104065_bb0180","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1038\/s41467-023-44591-3","article-title":"Radiomic tractometry reveals tract-specific imaging biomarkers in white matter","volume":"15","author":"Neher","year":"2024","journal-title":"Nat. Commun."},{"issue":"11","key":"10.1016\/j.nicl.2026.104065_bb0185","doi-asserted-by":"crossref","first-page":"1562","DOI":"10.1109\/TMI.2007.906785","article-title":"Automatic tractography segmentation using a high-dimensional white matter atlas","volume":"26","author":"O\u2019Donnell","year":"2007","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.nicl.2026.104065_bb0190","series-title":"Unbiased groupwise registration of white matter tractography. Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2012: 15th International Conference, Nice, France, October 1\u20135, 2012, Proceedings, Part III 15","year":"2012"},{"issue":"2","key":"10.1016\/j.nicl.2026.104065_bb0195","doi-asserted-by":"crossref","first-page":"172","DOI":"10.2967\/jnumed.121.262464","article-title":"A guide to ComBat harmonization of imaging biomarkers in multicenter studies","volume":"63","author":"Orlhac","year":"2022","journal-title":"J. Nucl. Med."},{"issue":"1","key":"10.1016\/j.nicl.2026.104065_bb0200","article-title":"Robust identification of Alzheimers disease subtypes based on cortical atrophy patterns","volume":"7","author":"Park","year":"2017","journal-title":"Sci. Rep."},{"issue":"3","key":"10.1016\/j.nicl.2026.104065_bb0205","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1148\/radiology.201.3.8939209","article-title":"Diffusion tensor MR imaging of the human brain","volume":"201","author":"Pierpaoli","year":"1996","journal-title":"Radiology"},{"issue":"21","key":"10.1016\/j.nicl.2026.104065_bb0210","doi-asserted-by":"crossref","first-page":"2176","DOI":"10.1212\/WNL.0000000000004670","article-title":"Alzheimer disease brain atrophy subtypes are associated with cognition and rate of decline","volume":"89","author":"Risacher","year":"2017","journal-title":"Neurology"},{"issue":"12","key":"10.1016\/j.nicl.2026.104065_bb0215","doi-asserted-by":"crossref","first-page":"2699","DOI":"10.1002\/alz.12645","article-title":"Early dementia diagnosis, MCI-to-dementia risk prediction, and the role of machine learning methods for feature extraction from integrated biomarkers, in particular for EEG signal analysis","volume":"18","author":"Rossini","year":"2022","journal-title":"Alzheimers Dement."},{"issue":"8","key":"10.1016\/j.nicl.2026.104065_bb0220","doi-asserted-by":"crossref","first-page":"1349","DOI":"10.1016\/j.media.2014.06.013","article-title":"Fusion of white and gray matter geometry: a framework for investigating brain development","volume":"18","author":"Savadjiev","year":"2014","journal-title":"Med. Image Anal."},{"issue":"3","key":"10.1016\/j.nicl.2026.104065_bb0225","doi-asserted-by":"crossref","first-page":"1051","DOI":"10.1016\/j.neuroimage.2010.01.042","article-title":"Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: a study of the ADNI cohort","volume":"53","author":"Shen","year":"2010","journal-title":"Neuroimage"},{"issue":"11","key":"10.1016\/j.nicl.2026.104065_bb0230","doi-asserted-by":"crossref","DOI":"10.3390\/jimaging8110303","article-title":"Harmonization strategies in multicenter MRI-based radiomics","volume":"8","author":"Stamoulou","year":"2022","journal-title":"J. Imaging"},{"issue":"6","key":"10.1016\/j.nicl.2026.104065_bb0235","doi-asserted-by":"crossref","first-page":"1532","DOI":"10.1002\/mrm.22924","article-title":"Diffusion tensor imaging and beyond","volume":"65","author":"Tournier","year":"2011","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.nicl.2026.104065_bb0240","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2019.116137","article-title":"MRtrix3: a fast, flexible and open software framework for medical image processing and visualisation","volume":"202","author":"Tournier","year":"2019","journal-title":"Neuroimage"},{"issue":"1","key":"10.1016\/j.nicl.2026.104065_bb0245","article-title":"Cerebrospinal fluid biomarker profiling of diverse pathophysiological domains in Alzheimers disease","volume":"10","author":"Trombetta","year":"2024","journal-title":"Alzheimers & Dementia: Translational Research & Clinical Interventions."},{"key":"10.1016\/j.nicl.2026.104065_bb0250","doi-asserted-by":"crossref","DOI":"10.1002\/alz.075591","article-title":"Using an integrated multi-omics approach to predict dementia: explainable variational autoencoder (E-VAE) classifier model","volume":"19","author":"Vivek","year":"2023","journal-title":"Alzheimers Dement."},{"issue":"3","key":"10.1016\/j.nicl.2026.104065_bb0255","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/j.pscychresns.2008.05.002","article-title":"Accelerated hippocampal atrophy rates in stable and progressive amnestic mild cognitive impairment","volume":"171","author":"Wang","year":"2009","journal-title":"Psychiatry Res. Neuroimaging"},{"issue":"1","key":"10.1016\/j.nicl.2026.104065_bb0260","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1186\/s13024-020-00395-3","article-title":"Neuroimaging advances regarding subjective cognitive decline in preclinical Alzheimers disease","volume":"15","author":"Wang","year":"2020","journal-title":"Mol. Neurodegener."},{"issue":"3","key":"10.1016\/j.nicl.2026.104065_bb0265","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/S0004-9514(05)70034-9","article-title":"Mini-mental state examination (MMSE)","volume":"51","author":"Woodward","year":"2005","journal-title":"Aust. J. Physiother."},{"key":"10.1016\/j.nicl.2026.104065_bb0270","doi-asserted-by":"crossref","DOI":"10.3389\/fradi.2021.777030","article-title":"Integrating transcriptomics, genomics, and imaging in Alzheimers disease: a federated model","volume":"1","author":"Wu","year":"2022","journal-title":"Front. Radiology."},{"issue":"11","key":"10.1016\/j.nicl.2026.104065_bb0275","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0049790","article-title":"Tract profiles of white matter properties: automating fiber-tract quantification","volume":"7","author":"Yeatman","year":"2012","journal-title":"PLoS One"},{"issue":"5","key":"10.1016\/j.nicl.2026.104065_bb0280","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0096458","article-title":"Multi-task linear programming discriminant analysis for the identification of progressive MCI individuals","volume":"9","author":"Yu","year":"2014","journal-title":"PLoS One"},{"issue":"5","key":"10.1016\/j.nicl.2026.104065_bb0285","doi-asserted-by":"crossref","first-page":"100079","DOI":"10.1016\/j.tjpad.2025.100079","article-title":"Predicting cognitive decline: deep-learning reveals subtle brain changes in pre-MCI stage","volume":"12","author":"Yue","year":"2025","journal-title":"J. Prev Alzheimers Dis."},{"issue":"9","key":"10.1016\/j.nicl.2026.104065_bb0290","doi-asserted-by":"crossref","first-page":"2579","DOI":"10.1093\/brain\/awp071","article-title":"White matter damage in frontotemporal dementia and Alzheimers disease measured by diffusion MRI","volume":"132","author":"Zhang","year":"2009","journal-title":"Brain"},{"key":"10.1016\/j.nicl.2026.104065_bb0295","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1016\/j.neuroimage.2018.06.027","article-title":"An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan","volume":"179","author":"Zhang","year":"2018","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2026.104065_bb0300","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2024.103165","article-title":"Anat-SFSeg: anatomically-guided superficial fiber segmentation with point-cloud deep learning","volume":"95","author":"Zhang","year":"2024","journal-title":"Med. Image Anal."},{"issue":"13","key":"10.1016\/j.nicl.2026.104065_bb0305","doi-asserted-by":"crossref","first-page":"1103","DOI":"10.1016\/j.scib.2020.04.003","article-title":"Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimers disease: diagnosis, longitudinal progress and biological basis","volume":"65","author":"Zhao","year":"2020","journal-title":"Sci. Bull."},{"issue":"3","key":"10.1016\/j.nicl.2026.104065_bb0310","first-page":"783","article-title":"Regional radiomics similarity networks (R2SNs) in the human brain: reproducibility, small-world properties and a biological basis","volume":"5","author":"Zhao","year":"2021","journal-title":"Netw. Neurosci."},{"key":"10.1016\/j.nicl.2026.104065_bb0315","doi-asserted-by":"crossref","DOI":"10.1016\/j.eclinm.2023.102276","article-title":"A neuroimaging biomarker for individual brain-related abnormalities in neurodegeneration (IBRAIN): a cross-sectional study","volume":"65","author":"Zhao","year":"2023","journal-title":"EClinicalMedicine"},{"issue":"1","key":"10.1016\/j.nicl.2026.104065_bb0320","doi-asserted-by":"crossref","first-page":"1523","DOI":"10.1038\/s41467-019-09234-6","article-title":"Metascape provides a biologist-oriented resource for the analysis of systems-level datasets","volume":"10","author":"Zhou","year":"2019","journal-title":"Nat. Commun."}],"container-title":["NeuroImage: Clinical"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158226001257?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158226001257?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T21:51:55Z","timestamp":1791323515000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2213158226001257"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":64,"alternative-id":["S2213158226001257"],"URL":"https:\/\/doi.org\/10.1016\/j.nicl.2026.104065","relation":{},"ISSN":["2213-1582"],"issn-type":[{"value":"2213-1582","type":"print"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Macro\u2013Micro structural integration for characterizing severity-related structural alterations in mild cognitive impairment","name":"articletitle","label":"Article Title"},{"value":"NeuroImage: Clinical","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.nicl.2026.104065","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"104065"}}