{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T04:49:52Z","timestamp":1785905392849,"version":"3.56.0"},"reference-count":120,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100006769","name":"Russian Science Foundation","doi-asserted-by":"publisher","award":["24-15-00220"],"award-info":[{"award-number":["24-15-00220"]}],"id":[{"id":"10.13039\/501100006769","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","ibroneuroscience.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neuroscience"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.neuroscience.2026.06.025","type":"journal-article","created":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T22:07:44Z","timestamp":1782079664000},"page":"337-351","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Structural MRI and mild behavioral impairment as complementary predictors of conversion from amnestic MCI to Alzheimer\u2019s disease"],"prefix":"10.1016","volume":"610","author":[{"given":"Alexander","family":"Tomyshev","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0464-9080","authenticated-orcid":false,"given":"Nikita","family":"Cherkasov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5698-4251","authenticated-orcid":false,"given":"Yana","family":"Panikratova","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6031-5907","authenticated-orcid":false,"given":"Olga","family":"Bozhko","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2358-1579","authenticated-orcid":false,"given":"Igor","family":"Kolykhalov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Irina","family":"Lebedeva","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neuroscience.2026.06.025_b0005","article-title":"Normative modeling of brain morphometry in clinical high risk for psychosis","author":"Allen","year":"2023","journal-title":"JAMA Psychiat."},{"issue":"11","key":"10.1016\/j.neuroscience.2026.06.025_b0010","doi-asserted-by":"crossref","first-page":"2365","DOI":"10.4103\/1673-5374.393106","article-title":"Unveiling DNA methylation in Alzheimer's disease: A review of array-based human brain studies","volume":"19","author":"Alves","year":"2024","journal-title":"Neural Regen. Res."},{"issue":"4","key":"10.1016\/j.neuroscience.2026.06.025_b0015","article-title":"Apathy and effort-based decision-making in Alzheimer's disease and subjective cognitive impairment","volume":"16","author":"Attaallah","year":"2024","journal-title":"Alzheimers Dement (Amst)"},{"issue":"473","key":"10.1016\/j.neuroscience.2026.06.025_b0020","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1198\/016214505000000628","article-title":"Prediction by supervised principal components","volume":"101","author":"Bair","year":"2006","journal-title":"J. Am. Stat. Assoc."},{"issue":"7","key":"10.1016\/j.neuroscience.2026.06.025_b0025","doi-asserted-by":"crossref","DOI":"10.1002\/alz.70482","article-title":"Disease stage-specific atrophy markers in Alzheimer's disease","volume":"21","author":"Baumeister","year":"2025","journal-title":"Alzheimers Dement."},{"issue":"24","key":"10.1016\/j.neuroscience.2026.06.025_b0030","doi-asserted-by":"crossref","first-page":"3186","DOI":"10.1097\/00007632-200012150-00014","article-title":"Guidelines for the process of cross-cultural adaptation of self-report measures","volume":"25","author":"Beaton","year":"2000","journal-title":"Spine (Phila Pa 1976)"},{"issue":"9","key":"10.1016\/j.neuroscience.2026.06.025_b0035","doi-asserted-by":"crossref","first-page":"2771","DOI":"10.1093\/brain\/awab114","article-title":"Early stages of tau pathology and its associations with functional connectivity, atrophy and memory","volume":"144","author":"Berron","year":"2021","journal-title":"Brain"},{"key":"10.1016\/j.neuroscience.2026.06.025_b0040","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1023\/A:1018054314350","article-title":"Bagging predictors","volume":"24","author":"Breiman","year":"1996","journal-title":"Mach. Learn."},{"issue":"4","key":"10.1016\/j.neuroscience.2026.06.025_b0045","doi-asserted-by":"crossref","DOI":"10.1214\/aos\/1031689014","article-title":"Analyzing bagging","volume":"30","author":"B\u00fchlmann","year":"2002","journal-title":"Ann. Stat."},{"issue":"4","key":"10.1016\/j.neuroscience.2026.06.025_b0050","doi-asserted-by":"crossref","first-page":"1496","DOI":"10.1007\/s00259-024-07016-x","article-title":"Subcortical tau deposition and plasma glial fibrillary acidic protein as predictors of cognitive decline in mild cognitive impairment and Alzheimer's disease","volume":"52","author":"Chang","year":"2025","journal-title":"Eur. J. Nucl. Med. Mol. Imaging"},{"issue":"6","key":"10.1016\/j.neuroscience.2026.06.025_b0055","doi-asserted-by":"crossref","first-page":"2008","DOI":"10.1093\/brain\/awaf008","article-title":"Anterior-temporal network hyperconnectivity is key to Alzheimer's disease: from ageing to dementia","volume":"148","author":"Chauveau","year":"2025","journal-title":"Brain"},{"issue":"4","key":"10.1016\/j.neuroscience.2026.06.025_b0060","doi-asserted-by":"crossref","first-page":"1495","DOI":"10.3233\/JAD-200659","article-title":"Voxelwise meta-analysis of gray matter abnormalities in mild cognitive impairment and subjective cognitive decline using activation likelihood estimation","volume":"77","author":"Chen","year":"2020","journal-title":"J. Alzheimers Dis."},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0065","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1186\/s13024-021-00456-1","article-title":"Brain mechanisms underlying neuropsychiatric symptoms in Alzheimer's disease: a systematic review of symptom-general and -specific lesion patterns","volume":"16","author":"Chen","year":"2021","journal-title":"Mol. Neurodegener."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0070","article-title":"Prediction models for conversion from mild cognitive impairment to Alzheimer's disease: a systematic review and meta-analysis","volume":"14","author":"Chen","year":"2022","journal-title":"Front. Aging Neurosci."},{"issue":"7S_Part_7","key":"10.1016\/j.neuroscience.2026.06.025_b0075","doi-asserted-by":"crossref","DOI":"10.1016\/j.jalz.2019.06.842","article-title":"P1\u2010287: the cortical thinning pattern associated with the mild behavioral impairment in patients with subjective cognitive decline, mild cognitive impairment and dementia due to Alzheimer's disease","volume":"15","author":"Chin","year":"2019","journal-title":"Alzheimers Dement."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0080","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2023.1214083","article-title":"Surface-based correlates of cognition along the Alzheimer's continuum in a memory clinic population","volume":"14","author":"Coleman","year":"2023","journal-title":"Front. Neurol."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0085","doi-asserted-by":"crossref","DOI":"10.1136\/bmj-2023-074819","article-title":"Evaluation of clinical prediction models (part 1): from development to external validation","volume":"384","author":"Collins","year":"2024","journal-title":"BMJ"},{"issue":"2","key":"10.1016\/j.neuroscience.2026.06.025_b0090","doi-asserted-by":"crossref","first-page":"329","DOI":"10.3233\/JAD-150306","article-title":"White matter changes are associated with ventricular expansion in aging, mild cognitive impairment, and Alzheimer's disease","volume":"49","author":"Coutu","year":"2016","journal-title":"J. Alzheimers Dis."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0095","doi-asserted-by":"crossref","unstructured":"Couvy-Duchesne, B., Frouin, V., Bouteloup, V., Koussis, N., Sidorenko, J., Jiang, J., Wink, A.M., Lorenzini, L., Barkhof, F., Trollor, J.N., Mangin, J.F., Sachdev, P.S., Brodaty, H., Lupton, M.K., Breakspear, M., Colliot, O., Visscher, P.M., Wray, N.R., Alzheimer's Disease Neuroimaging, I., Australian Imaging, B., Lifestyle flagship study of, a., Alzheimer's Disease Repository Without Borders, I., Group, M.c.S., 2025. Grey-Matter Structure Markers of Alzheimer's Disease, Alzheimer's Conversion, Functioning and Cognition: A Meta-Analysis Across 11 Cohorts. Hum Brain Mapp 46(2), e70089. doi:10.1002\/hbm.70089.","DOI":"10.1002\/hbm.70089"},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0100","doi-asserted-by":"crossref","DOI":"10.1186\/s13195-021-00949-7","article-title":"Mild behavioral impairment: measurement and clinical correlates of a novel marker of preclinical Alzheimer\u2019s disease","volume":"14","author":"Creese","year":"2022","journal-title":"Alzheimers Res. Ther."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0105","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1016\/j.nicl.2017.10.034","article-title":"Interactive versus additive relationships between regional cortical thinning and amyloid burden in predicting clinical decline in mild AD and MCI individuals","volume":"17","author":"d'Oleire Uquillas","year":"2018","journal-title":"Neuroimage Clin"},{"issue":"10","key":"10.1016\/j.neuroscience.2026.06.025_b0110","doi-asserted-by":"crossref","first-page":"2131","DOI":"10.1523\/JNEUROSCI.0949-21.2021","article-title":"Medial temporal lobe networks in Alzheimer's disease: structural and molecular vulnerabilities","volume":"42","author":"De Flores","year":"2022","journal-title":"J. Neurosci."},{"issue":"3","key":"10.1016\/j.neuroscience.2026.06.025_b0115","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1016\/j.neuroimage.2006.01.021","article-title":"An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest","volume":"31","author":"Desikan","year":"2006","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroscience.2026.06.025_b0120","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2023.1273658","article-title":"Machine learning classifiers and associations of cognitive performance with hippocampal subfields in amnestic mild cognitive impairment","volume":"15","author":"Feng","year":"2023","journal-title":"Front. Aging Neurosci."},{"issue":"2","key":"10.1016\/j.neuroscience.2026.06.025_b0125","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":"3","key":"10.1016\/j.neuroscience.2026.06.025_b0130","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/S0896-6273(02)00569-X","article-title":"Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain","volume":"33","author":"Fischl","year":"2002","journal-title":"Neuron"},{"issue":"3","key":"10.1016\/j.neuroscience.2026.06.025_b0135","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/0022-3956(75)90026-6","article-title":"\u201cMini-mental state\u201d. A practical method for grading the cognitive state of patients for the clinician","volume":"12","author":"Folstein","year":"1975","journal-title":"J. Psychiatr. Res."},{"issue":"34","key":"10.1016\/j.neuroscience.2026.06.025_b0140","doi-asserted-by":"crossref","DOI":"10.1097\/MD.0000000000034994","article-title":"Multimodal magnetic resonance imaging on brain network in amnestic mild cognitive impairment: a mini-review","volume":"102","author":"Gao","year":"2023","journal-title":"Medicine"},{"issue":"9","key":"10.1016\/j.neuroscience.2026.06.025_b0145","doi-asserted-by":"crossref","first-page":"1398","DOI":"10.1002\/gps.5540","article-title":"Neural correlates of the impulse dyscontrol domain of mild behavioral impairment","volume":"36","author":"Gill","year":"2021","journal-title":"Int. J. Geriatr. Psychiatry"},{"issue":"4","key":"10.1016\/j.neuroscience.2026.06.025_b0150","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1016\/j.neuron.2023.11.014","article-title":"Amyloid induced hyperexcitability in default mode network drives medial temporal hyperactivity and early tau accumulation","volume":"112","author":"Giorgio","year":"2024","journal-title":"Neuron"},{"issue":"5","key":"10.1016\/j.neuroscience.2026.06.025_b0155","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1080\/23279095.2022.2079414","article-title":"The association of depression and apathy with Alzheimer's disease biomarkers in a cross-cultural sample","volume":"31","author":"Greig Custo","year":"2024","journal-title":"Appl. Neuropsychol. Adult"},{"issue":"13","key":"10.1016\/j.neuroscience.2026.06.025_b0160","doi-asserted-by":"crossref","DOI":"10.1002\/hbm.70016","article-title":"Neuropsychiatric symptoms: risk factor or disease marker? A study of structural imaging biomarkers of Alzheimer's disease and incident cognitive decline","volume":"45","author":"Guan","year":"2024","journal-title":"Hum. Brain Mapp."},{"issue":"13","key":"10.1016\/j.neuroscience.2026.06.025_b0165","doi-asserted-by":"crossref","first-page":"2179","DOI":"10.1002\/sim.9717","article-title":"Pitfalls of the concordance index for survival outcomes","volume":"42","author":"Hartman","year":"2023","journal-title":"Stat. Med."},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0170","article-title":"Anterolateral entorhinal cortex thickness as a new biomarker for early detection of Alzheimer's disease","volume":"12","author":"Holbrook","year":"2020","journal-title":"Alzheimers Dement (Amst)"},{"issue":"5","key":"10.1016\/j.neuroscience.2026.06.025_b0175","doi-asserted-by":"crossref","first-page":"1481","DOI":"10.1002\/hbm.25739","article-title":"Performance of three freely available methods for extracting white matter hyperintensities: FreeSurfer, UBO Detector, and BIANCA","volume":"43","author":"Hotz","year":"2022","journal-title":"Hum. Brain Mapp."},{"issue":"6","key":"10.1016\/j.neuroscience.2026.06.025_b0180","doi-asserted-by":"crossref","first-page":"552","DOI":"10.1016\/S0197-2456(00)00104-5","article-title":"Sample-size calculations for the Cox proportional hazards regression model with nonbinary covariates","volume":"21","author":"Hsieh","year":"2000","journal-title":"Control. Clin. Trials"},{"issue":"2","key":"10.1016\/j.neuroscience.2026.06.025_b0185","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.tins.2022.11.006","article-title":"Entorhinal cortex dysfunction in Alzheimer's disease","volume":"46","author":"Igarashi","year":"2023","journal-title":"Trends Neurosci."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0190","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.neuroimage.2015.02.065","article-title":"Bayesian segmentation of brainstem structures in MRI","volume":"113","author":"Iglesias","year":"2015","journal-title":"Neuroimage"},{"issue":"2","key":"10.1016\/j.neuroscience.2026.06.025_b0195","doi-asserted-by":"crossref","first-page":"521","DOI":"10.3233\/JAD-220948","article-title":"Emotional dysregulation in mild behavioral impairment is associated with reduced cortical thickness in the right supramarginal gyrus","volume":"93","author":"Imai","year":"2023","journal-title":"J. Alzheimers Dis."},{"issue":"3","key":"10.1016\/j.neuroscience.2026.06.025_b0200","doi-asserted-by":"crossref","first-page":"929","DOI":"10.3233\/JAD-160979","article-title":"The mild behavioral impairment checklist(MBI-C): a rating scale forneuropsychiatric symptoms inpre-dementia populations","volume":"56","author":"Ismail","year":"2017","journal-title":"J. Alzheimers Dis."},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0205","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1186\/s13024-023-00631-6","article-title":"Optimizing detection of Alzheimer's disease in mild cognitive impairment: a 4-year biomarker study of mild behavioral impairment in ADNI and MEMENTO","volume":"18","author":"Ismail","year":"2023","journal-title":"Mol. Neurodegener."},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0210","doi-asserted-by":"crossref","first-page":"459","DOI":"10.3233\/JAD-201184","article-title":"Mild behavioral impairment and subjective cognitive decline predict cognitive and functional decline","volume":"80","author":"Ismail","year":"2021","journal-title":"J. Alzheimers Dis."},{"issue":"8","key":"10.1016\/j.neuroscience.2026.06.025_b0215","doi-asserted-by":"crossref","first-page":"5143","DOI":"10.1002\/alz.13859","article-title":"Revised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's association workgroup","volume":"20","author":"Jack","year":"2024","journal-title":"Alzheimers Dement."},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0220","doi-asserted-by":"crossref","first-page":"851","DOI":"10.3233\/ADR-230189","article-title":"A two-year observational study to evaluate conversion rates from high- and low-risk patients with amnestic mild cognitive impairment to probable Alzheimer's disease in a real-world setting","volume":"8","author":"Jang","year":"2024","journal-title":"J Alzheimers Dis Rep"},{"issue":"2","key":"10.1016\/j.neuroscience.2026.06.025_b0225","doi-asserted-by":"crossref","first-page":"50","DOI":"10.12779\/dnd.2018.17.2.50","article-title":"Brain perfusion correlates of apathy in Alzheimer's disease","volume":"17","author":"Jeong","year":"2018","journal-title":"Dement Neurocogn Disord"},{"issue":"4","key":"10.1016\/j.neuroscience.2026.06.025_b0230","first-page":"213","article-title":"The brain network hub degeneration in Alzheimer's disease","volume":"10","author":"Jin","year":"2024","journal-title":"Biophys Rep"},{"issue":"3","key":"10.1016\/j.neuroscience.2026.06.025_b0235","doi-asserted-by":"crossref","DOI":"10.18637\/jss.v112.i03","article-title":"RESI: an R package for robust effect sizes","volume":"112","author":"Jones","year":"2025","journal-title":"J. Stat. Softw."},{"issue":"8","key":"10.1016\/j.neuroscience.2026.06.025_b0240","doi-asserted-by":"crossref","DOI":"10.1212\/WNL.0000000000207514","article-title":"White matter hyperintensity trajectories in patients with progressive and stable mild cognitive impairment","volume":"101","author":"Kamal","year":"2023","journal-title":"Neurology"},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0245","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1007\/s11336-022-09899-x","article-title":"Accurate confidence and bayesian interval estimation for non-centrality parameters and effect size indices","volume":"88","author":"Kang","year":"2023","journal-title":"Psychometrika"},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0250","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1186\/1758-2946-6-10","article-title":"Cross-validation pitfalls when selecting and assessing regression and classification models","volume":"6","author":"Krstajic","year":"2014","journal-title":"J Cheminform"},{"key":"10.1016\/j.neuroscience.2026.06.025_b0255","doi-asserted-by":"crossref","first-page":"13","DOI":"10.3389\/fnagi.2020.00013","article-title":"Increased presence of cerebral microbleeds correlates with ventricular enlargement and increased white matter hyperintensities in Alzheimer's disease","volume":"12","author":"Kuroda","year":"2020","journal-title":"Front. Aging Neurosci."},{"issue":"18","key":"10.1016\/j.neuroscience.2026.06.025_b0260","doi-asserted-by":"crossref","first-page":"5509","DOI":"10.1002\/hbm.26026","article-title":"Identifying the regional substrates predictive of Alzheimer's disease progression through a convolutional neural network model and occlusion","volume":"43","author":"Kwak","year":"2022","journal-title":"Hum. Brain Mapp."},{"issue":"2","key":"10.1016\/j.neuroscience.2026.06.025_b0265","doi-asserted-by":"crossref","first-page":"607","DOI":"10.3233\/JAD-200264","article-title":"The risk of dementia in relation to cognitive and brain reserve","volume":"77","author":"Lamballais","year":"2020","journal-title":"J. Alzheimers Dis."},{"issue":"2","key":"10.1016\/j.neuroscience.2026.06.025_b0270","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1097\/YCO.0000000000000401","article-title":"Sex differences in Alzheimer's disease","volume":"31","author":"Laws","year":"2018","journal-title":"Curr. Opin. Psychiatry"},{"issue":"3","key":"10.1016\/j.neuroscience.2026.06.025_b0275","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1038\/s41582-020-00435-y","article-title":"Neuroinflammation and microglial activation in Alzheimer disease: where do we go from here?","volume":"17","author":"Leng","year":"2021","journal-title":"Nat. Rev. Neurol."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0280","article-title":"Mild behavioral impairment and cortical thinning: biomarkers of early neurodegeneration","author":"Leow","year":"2025","journal-title":"Biol Psychiatry Cogn Neurosci Neuroimaging"},{"key":"10.1016\/j.neuroscience.2026.06.025_b0285","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2025.1546977","article-title":"Voxel- and surface-based morphometry in the cortical thickness and cortical and subcortical gray matter volume in patients with mild-to-moderate Alzheimer's disease","volume":"17","author":"Li","year":"2025","journal-title":"Front. Aging Neurosci."},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0290","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1002\/alz.12007","article-title":"Mild behavioral impairment is associated with \u03b2\u2010amyloid but not tau or neurodegeneration in cognitively intact elderly individuals","volume":"16","author":"Lussier","year":"2020","journal-title":"Alzheimers Dement."},{"issue":"8","key":"10.1016\/j.neuroscience.2026.06.025_b0295","doi-asserted-by":"crossref","first-page":"2492","DOI":"10.1093\/brain\/awz154","article-title":"Alzheimer's pathology targets distinct memory networks in the ageing brain","volume":"142","author":"Maass","year":"2019","journal-title":"Brain"},{"issue":"8159","key":"10.1016\/j.neuroscience.2026.06.025_b0300","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1007\/978-3-319-02126-3_9","article-title":"Mapping dynamic changes in ventricular volume onto baseline cortical surfaces in normal aging, MCI, and Alzheimer's disease","volume":"2013","author":"Madsen","year":"2013","journal-title":"Multimodal Brain Image Anal"},{"issue":"3","key":"10.1016\/j.neuroscience.2026.06.025_b0305","doi-asserted-by":"crossref","first-page":"719","DOI":"10.3233\/JAD-132768","article-title":"Regional cortical thinning and cerebrospinal biomarkers predict worsening daily functioning across the Alzheimer's disease spectrum","volume":"41","author":"Marshall","year":"2014","journal-title":"J. Alzheimers Dis."},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0310","doi-asserted-by":"crossref","DOI":"10.1002\/pcn5.81","article-title":"Neuroimaging of mild behavioral impairment: a systematic review","volume":"2","author":"Matsuoka","year":"2023","journal-title":"Psychiatry and Clinical Neurosciences Reports"},{"issue":"2","key":"10.1016\/j.neuroscience.2026.06.025_b0315","doi-asserted-by":"crossref","first-page":"505","DOI":"10.3233\/JAD-190278","article-title":"Prevalence of mild behavioral impairment and risk of dementia in a psychiatric outpatient clinic","volume":"70","author":"Matsuoka","year":"2019","journal-title":"J. Alzheimers Dis."},{"issue":"3","key":"10.1016\/j.neuroscience.2026.06.025_b0320","doi-asserted-by":"crossref","first-page":"1221","DOI":"10.3233\/JAD-210628","article-title":"Neural correlates of mild behavioral impairment: a functional brain connectivity study using resting-state functional magnetic resonance imaging","volume":"83","author":"Matsuoka","year":"2021","journal-title":"J. Alzheimers Dis."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0325","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2021.643271","article-title":"Mild behavioral impairment is associated with atrophy of entorhinal cortex and hippocampus in a memory clinic cohort","volume":"13","author":"Matuskova","year":"2021","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0330","doi-asserted-by":"crossref","DOI":"10.1016\/j.cccb.2021.100028","article-title":"White matter hyperintensities and mild behavioral impairment: findings from the MEMENTO cohort study","volume":"2","author":"Miao","year":"2021","journal-title":"Cerebral Circulation - Cognition and Behavior"},{"issue":"2","key":"10.1016\/j.neuroscience.2026.06.025_b0335","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1177\/13872877251316794","article-title":"Structural covariance network patterns linked to neuropsychiatric symptoms in biologically defined Alzheimer's disease: insights from the mild behavioral impairment checklist","volume":"104","author":"Michelutti","year":"2025","journal-title":"J. Alzheimers Dis."},{"issue":"4","key":"10.1016\/j.neuroscience.2026.06.025_b0340","doi-asserted-by":"crossref","first-page":"252","DOI":"10.1111\/j.1600-0447.2008.01326.x","article-title":"Rate of progression of mild cognitive impairment to dementia\u2013meta-analysis of 41 robust inception cohort studies","volume":"119","author":"Mitchell","year":"2009","journal-title":"Acta Psychiatr. Scand."},{"issue":"15","key":"10.1016\/j.neuroscience.2026.06.025_b0345","doi-asserted-by":"crossref","first-page":"3301","DOI":"10.1093\/bioinformatics\/bti499","article-title":"Prediction error estimation: a comparison of resampling methods","volume":"21","author":"Molinaro","year":"2005","journal-title":"Bioinformatics"},{"issue":"11","key":"10.1016\/j.neuroscience.2026.06.025_b0350","doi-asserted-by":"crossref","first-page":"2412","DOI":"10.1212\/WNL.43.11.2412-a","article-title":"The clinical dementia rating (CDR): current version and scoring rules","volume":"43","author":"Morris","year":"1993","journal-title":"Neurology"},{"key":"10.1016\/j.neuroscience.2026.06.025_b0355","doi-asserted-by":"crossref","first-page":"582","DOI":"10.3389\/fnins.2016.00582","article-title":"Connectivity disruption, atrophy, and hypometabolism within posterior cingulate networks in Alzheimer's disease","volume":"10","author":"Mutlu","year":"2016","journal-title":"Front. Neurosci."},{"issue":"4","key":"10.1016\/j.neuroscience.2026.06.025_b0360","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1111\/j.1532-5415.2005.53221.x","article-title":"The montreal cognitive assessment, MoCA: a brief screening tool for mild cognitive impairment","volume":"53","author":"Nasreddine","year":"2005","journal-title":"J. Am. Geriatr. Soc."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0365","doi-asserted-by":"crossref","first-page":"399","DOI":"10.3389\/fneur.2017.00399","article-title":"Subregional structural alterations in hippocampus and nucleus accumbens correlate with the clinical impairment in patients with Alzheimer's disease clinical spectrum: parallel combining volume and vertex-based approach","volume":"8","author":"Nie","year":"2017","journal-title":"Front. Neurol."},{"issue":"S8","key":"10.1016\/j.neuroscience.2026.06.025_b0370","doi-asserted-by":"crossref","DOI":"10.1002\/alz.095685","article-title":"Understanding apathy: behavioral and neural correlates of apathy in neurodegenerative disorders","volume":"20","author":"Nsor","year":"2025","journal-title":"Alzheimers Dement."},{"issue":"8","key":"10.1016\/j.neuroscience.2026.06.025_b0375","doi-asserted-by":"crossref","first-page":"1091","DOI":"10.1001\/archneur.65.8.1091","article-title":"Staging dementia using clinical dementia rating scale sum of boxes scores: a Texas Alzheimer's research consortium study","volume":"65","author":"O'Bryant","year":"2008","journal-title":"Arch. Neurol."},{"issue":"7","key":"10.1016\/j.neuroscience.2026.06.025_b0380","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1016\/j.jagp.2019.12.007","article-title":"Clinical and MRI predictors of conversion from mild behavioural impairment to dementia","volume":"28","author":"Orso","year":"2020","journal-title":"Am. J. Geriatr. Psychiatry"},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0385","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1111\/psyg.12636","article-title":"Prevalence of mild behavioural impairment: a systematic review and meta-analysis","volume":"21","author":"Pan","year":"2021","journal-title":"Psychogeriatrics"},{"issue":"36","key":"10.1016\/j.neuroscience.2026.06.025_b0390","doi-asserted-by":"crossref","first-page":"7218","DOI":"10.1523\/JNEUROSCI.2574-18.2019","article-title":"Neuroinflammation and functional connectivity in Alzheimer's disease: interactive influences on cognitive performance","volume":"39","author":"Passamonti","year":"2019","journal-title":"J. Neurosci."},{"issue":"12","key":"10.1016\/j.neuroscience.2026.06.025_b0395","doi-asserted-by":"crossref","first-page":"1503","DOI":"10.1016\/0895-4356(95)00048-8","article-title":"Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates","volume":"48","author":"Peduzzi","year":"1995","journal-title":"J. Clin. Epidemiol."},{"issue":"3","key":"10.1016\/j.neuroscience.2026.06.025_b0400","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1111\/j.1365-2796.2004.01388.x","article-title":"Mild cognitive impairment as a diagnostic entity","volume":"256","author":"Petersen","year":"2004","journal-title":"J. Intern. Med."},{"issue":"4","key":"10.1016\/j.neuroscience.2026.06.025_b0405","doi-asserted-by":"crossref","first-page":"437","DOI":"10.31887\/DCNS.2016.18.4\/cepperson","article-title":"Considering sex and gender in Alzheimer disease and other dementias","volume":"18","author":"Podcasy","year":"2016","journal-title":"Dialogues Clin. Neurosci."},{"issue":"6","key":"10.1016\/j.neuroscience.2026.06.025_b0410","doi-asserted-by":"crossref","DOI":"10.1016\/j.heliyon.2024.e27429","article-title":"Atrophy of hippocampal subfields and amygdala nuclei in subjects with mild cognitive impairment progressing to Alzheimer's disease","volume":"10","author":"Punzi","year":"2024","journal-title":"Heliyon"},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0415","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1186\/s13195-019-0521-0","article-title":"Independent effects of white matter hyperintensities on cognitive, neuropsychiatric, and functional decline: a longitudinal investigation using the National Alzheimer's coordinating center uniform data set","volume":"11","author":"Puzo","year":"2019","journal-title":"Alzheimers Res. Ther."},{"issue":"5","key":"10.1016\/j.neuroscience.2026.06.025_b0420","doi-asserted-by":"crossref","first-page":"2335","DOI":"10.1007\/s11682-022-00659-0","article-title":"Volume, density, and thickness brain abnormalities in mild cognitive impairment: an ALE meta-analysis controlling for age and education","volume":"16","author":"Raine","year":"2022","journal-title":"Brain Imaging Behav."},{"issue":"Pt 9","key":"10.1016\/j.neuroscience.2026.06.025_b0425","doi-asserted-by":"crossref","first-page":"2456","DOI":"10.1093\/brain\/awr179","article-title":"Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia","volume":"134","author":"Rascovsky","year":"2011","journal-title":"Brain"},{"issue":"3","key":"10.1016\/j.neuroscience.2026.06.025_b0430","doi-asserted-by":"crossref","DOI":"10.1002\/gps.6074","article-title":"Neuropsychiatric symptoms and brain morphology in patients with mild cognitive impairment, cerebrovascular disease and Parkinson disease: a cross sectional and longitudinal study","volume":"39","author":"Rashidi-Ranjbar","year":"2024","journal-title":"Int. J. Geriatr. Psychiatry"},{"issue":"S18","key":"10.1016\/j.neuroscience.2026.06.025_b0435","doi-asserted-by":"crossref","DOI":"10.1002\/alz.073460","article-title":"Neural correlates of mild behavioral impairment in older adults across the neurodegenerative spectrum","volume":"19","author":"Rashidi-Ranjbar","year":"2023","journal-title":"Alzheimers Dement."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0440","unstructured":"Ritchie, A., Balzano, L., Kessler, D., Sripada, C.S., Scott, C., 2022. Supervised PCA: A Multiobjective Approach. arXiv. doi:10.48550\/arXiv.2011.05309."},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0445","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1017\/cjn.2021.253","article-title":"Specificity of entorhinal atrophy MRI scale in predicting Alzheimer's disease conversion","volume":"50","author":"Roberge","year":"2023","journal-title":"Can. J. Neurol. Sci."},{"issue":"11","key":"10.1016\/j.neuroscience.2026.06.025_b0450","doi-asserted-by":"crossref","first-page":"2199","DOI":"10.1002\/alz.12519","article-title":"Mild behavioral impairment is associated with progression to Alzheimer's disease: a clinicopathological study","volume":"18","author":"Ruthirakuhan","year":"2022","journal-title":"Alzheimers Dement."},{"issue":"4","key":"10.1016\/j.neuroscience.2026.06.025_b0455","doi-asserted-by":"crossref","first-page":"1635","DOI":"10.1007\/s11357-021-00361-x","article-title":"Neurovascular-glymphatic dysfunction and white matter lesions","volume":"43","author":"Sabayan","year":"2021","journal-title":"Geroscience"},{"issue":"3","key":"10.1016\/j.neuroscience.2026.06.025_b0460","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1038\/nrn.2017.6","article-title":"The contribution of the human posterior parietal cortex to episodic memory","volume":"18","author":"Sestieri","year":"2017","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0465","doi-asserted-by":"crossref","DOI":"10.3389\/fnana.2021.738100","article-title":"Aberrant topological patterns of structural covariance networks in cognitively normal elderly adults with mild behavioral impairment","volume":"15","author":"Shu","year":"2021","journal-title":"Front. Neuroanat."},{"issue":"11","key":"10.1016\/j.neuroscience.2026.06.025_b0470","doi-asserted-by":"crossref","first-page":"1217","DOI":"10.1017\/S1041610221000934","article-title":"Neuropsychiatric symptoms and brain morphology in patients with mild cognitive impairment and Alzheimer\u2019s disease with dementia","volume":"33","author":"Siafarikas","year":"2021","journal-title":"Int. Psychogeriatr."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0475","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2025.1635861","article-title":"Local gyrification index and sulcal depth as imaging markers of cognitive decline in Alzheimer's disease","volume":"17","author":"Sim","year":"2025","journal-title":"Front. Aging Neurosci."},{"issue":"3","key":"10.1016\/j.neuroscience.2026.06.025_b0480","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1093\/aje\/kwu140","article-title":"Correcting for optimistic prediction in small data sets","volume":"180","author":"Smith","year":"2014","journal-title":"Am. J. Epidemiol."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0485","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2023.1227112","article-title":"Evidence from a meta-analysis and systematic review reveals the global prevalence of mild cognitive impairment","volume":"15","author":"Song","year":"2023","journal-title":"Front. Aging Neurosci."},{"issue":"9","key":"10.1016\/j.neuroscience.2026.06.025_b0490","doi-asserted-by":"crossref","first-page":"1305","DOI":"10.1016\/j.jalz.2018.07.219","article-title":"Whitepaper: defining and investigating cognitive reserve, brain reserve, and brain maintenance","volume":"16","author":"Stern","year":"2020","journal-title":"Alzheimers Dement."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0495","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/j.neurobiolaging.2019.03.022","article-title":"Brain reserve, cognitive reserve, compensation, and maintenance: operationalization, validity, and mechanisms of cognitive resilience","volume":"83","author":"Stern","year":"2019","journal-title":"Neurobiol. Aging"},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0500","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1097\/EDE.0b013e3181c30fb2","article-title":"Assessing the performance of prediction models: a framework for traditional and novel measures","volume":"21","author":"Steyerberg","year":"2010","journal-title":"Epidemiology"},{"issue":"7","key":"10.1016\/j.neuroscience.2026.06.025_b0505","doi-asserted-by":"crossref","first-page":"1089","DOI":"10.1016\/j.neurobiolaging.2008.08.003","article-title":"Rate of entorhinal and hippocampal atrophy in incipient and mild AD: relation to memory function","volume":"31","author":"Stoub","year":"2010","journal-title":"Neurobiol. Aging"},{"issue":"8","key":"10.1016\/j.neuroscience.2026.06.025_b0510","doi-asserted-by":"crossref","first-page":"3701","DOI":"10.1002\/hbm.22431","article-title":"Shape abnormalities of subcortical and ventricular structures in mild cognitive impairment and Alzheimer's disease: detecting, quantifying, and predicting","volume":"35","author":"Tang","year":"2014","journal-title":"Hum. Brain Mapp."},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0515","doi-asserted-by":"crossref","first-page":"227","DOI":"10.3233\/JAD-170632","article-title":"Risk of conversion to dementia in a mild behavioral impairment group compared to a psychiatric group and to a mild cognitive impairment group","volume":"62","author":"Taragano","year":"2018","journal-title":"J. Alzheimers Dis."},{"issue":"4","key":"10.1016\/j.neuroscience.2026.06.025_b0520","doi-asserted-by":"crossref","first-page":"584","DOI":"10.4088\/JCP.08m04181","article-title":"Mild behavioral impairment and risk of dementia","volume":"70","author":"Taragano","year":"2009","journal-title":"J. Clin. Psychiatry"},{"issue":"7","key":"10.1016\/j.neuroscience.2026.06.025_b0525","doi-asserted-by":"crossref","first-page":"872","DOI":"10.1001\/jamaneurol.2014.667","article-title":"Predicting aggressive decline in mild cognitive impairment: the importance of white matter hyperintensities","volume":"71","author":"Tosto","year":"2014","journal-title":"JAMA Neurol."},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0530","doi-asserted-by":"crossref","first-page":"99","DOI":"10.3233\/JAD-181150","article-title":"The entorhinal cortex atrophy score is diagnostic and prognostic in mild cognitive impairment","volume":"75","author":"Traschutz","year":"2020","journal-title":"J. Alzheimers Dis."},{"issue":"11","key":"10.1016\/j.neuroscience.2026.06.025_b0535","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0224365","article-title":"Machine learning algorithm validation with a limited sample size","volume":"14","author":"Vabalas","year":"2019","journal-title":"PLoS One"},{"key":"10.1016\/j.neuroscience.2026.06.025_b0540","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1186\/1471-2105-7-91","article-title":"Bias in error estimation when using cross-validation for model selection","volume":"7","author":"Varma","year":"2006","journal-title":"BMC Bioinf."},{"issue":"Pt A","key":"10.1016\/j.neuroscience.2026.06.025_b0545","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.neuroimage.2017.06.061","article-title":"Cross-validation failure: small sample sizes lead to large error bars","volume":"180","author":"Varoquaux","year":"2018","journal-title":"Neuroimage"},{"issue":"6","key":"10.1016\/j.neuroscience.2026.06.025_b0550","doi-asserted-by":"crossref","first-page":"1083","DOI":"10.1162\/jocn.2009.21309","article-title":"Semantic processing in the anterior temporal lobes: a meta-analysis of the functional neuroimaging literature","volume":"22","author":"Visser","year":"2010","journal-title":"J. Cogn. Neurosci."},{"issue":"6","key":"10.1016\/j.neuroscience.2026.06.025_b0555","doi-asserted-by":"crossref","first-page":"710","DOI":"10.1093\/aje\/kwk052","article-title":"Relaxing the rule of ten events per variable in logistic and Cox regression","volume":"165","author":"Vittinghoff","year":"2007","journal-title":"Am. J. Epidemiol."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0560","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1186\/s12991-020-00302-6","article-title":"Untreated depressive symptoms significantly worsen quality of life in old age and may lead to the misdiagnosis of dementia: a cross-sectional study","volume":"19","author":"Voros","year":"2020","journal-title":"Ann. Gen. Psychiatry"},{"issue":"12","key":"10.1016\/j.neuroscience.2026.06.025_b0565","doi-asserted-by":"crossref","first-page":"3620","DOI":"10.4103\/NRR.NRR-D-23-02004","article-title":"Novel genes involved in vascular dysfunction of the middle temporal gyrus in Alzheimer's disease: transcriptomics combined with machine learning analysis","volume":"20","author":"Wang","year":"2025","journal-title":"Neural Regen. Res."},{"issue":"12","key":"10.1016\/j.neuroscience.2026.06.025_b0570","doi-asserted-by":"crossref","DOI":"10.1002\/brb3.1457","article-title":"White matter hypointensities and hyperintensities have equivalent correlations with age and CSF beta-amyloid in the nondemented elderly","volume":"9","author":"Wei","year":"2019","journal-title":"Brain and Behavior"},{"issue":"3","key":"10.1016\/j.neuroscience.2026.06.025_b0575","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1093\/psyrad\/kkac017","article-title":"The pattern of cortical thickness underlying disruptive behaviors in Alzheimer's disease","volume":"2","author":"Xiong","year":"2022","journal-title":"Psychoradiology"},{"issue":"6","key":"10.1016\/j.neuroscience.2026.06.025_b0580","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1111\/psyg.12447","article-title":"Discrete effect of each mild behavioural impairment category on dementia conversion or cognitive decline in patients with mild cognitive impairment","volume":"19","author":"Yokoi","year":"2019","journal-title":"Psychogeriatrics"},{"key":"10.1016\/j.neuroscience.2026.06.025_b0585","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2022.1051621","article-title":"Mild behavioral impairment linked to progression to Alzheimer\u2019s disease and cortical thinning in amnestic mild cognitive impairment","volume":"14","author":"Yoon","year":"2023","journal-title":"Front. Aging Neurosci."},{"issue":"1","key":"10.1016\/j.neuroscience.2026.06.025_b0590","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.jaclp.2024.11.003","article-title":"Associations of mild behavioral impairment domains with brain volumes: cross-sectional analysis of atherosclerosis risk in community (ARIC) study","volume":"66","author":"Young","year":"2025","journal-title":"J Acad Consult Liaison Psychiatry"},{"issue":"3","key":"10.1016\/j.neuroscience.2026.06.025_b0595","doi-asserted-by":"crossref","DOI":"10.1002\/brb3.70440","article-title":"Reduced functional connectivity in nucleus accumbens subregions associates with cognitive changes in Alzheimer's disease","volume":"15","author":"Yu","year":"2025","journal-title":"Brain Behav."},{"key":"10.1016\/j.neuroscience.2026.06.025_b0600","article-title":"Gray matter atrophy in amnestic mild cognitive impairment: a voxel-based meta-analysis","volume":"13","author":"Zhang","year":"2021","journal-title":"Front. Aging Neurosci."}],"container-title":["Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306452226004148?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306452226004148?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,5]],"date-time":"2026-08-05T04:24:41Z","timestamp":1785903881000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0306452226004148"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":120,"alternative-id":["S0306452226004148"],"URL":"https:\/\/doi.org\/10.1016\/j.neuroscience.2026.06.025","relation":{},"ISSN":["0306-4522"],"issn-type":[{"value":"0306-4522","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Structural MRI and mild behavioral impairment as complementary predictors of conversion from amnestic MCI to Alzheimer\u2019s disease","name":"articletitle","label":"Article Title"},{"value":"Neuroscience","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neuroscience.2026.06.025","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 International Brain Research Organization (IBRO). Published by Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}]}}