{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T19:30:48Z","timestamp":1771270248501,"version":"3.50.1"},"reference-count":123,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2020,9,4]],"date-time":"2020-09-04T00:00:00Z","timestamp":1599177600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,9,4]],"date-time":"2020-09-04T00:00:00Z","timestamp":1599177600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["GeroScience"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1007\/s11357-020-00260-7","type":"journal-article","created":{"date-parts":[[2020,9,4]],"date-time":"2020-09-04T14:03:02Z","timestamp":1599228182000},"page":"1715-1732","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["A multivariate model of time to conversion from mild cognitive impairment to Alzheimer\u2019s disease"],"prefix":"10.1007","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3928-2629","authenticated-orcid":false,"given":"Mar\u00eda Eugenia","family":"L\u00f3pez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Agust\u00edn","family":"Turrero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pablo","family":"Cuesta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Inmaculada Concepci\u00f3n","family":"Rodr\u00edguez-Rojo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ana","family":"Barabash","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alberto","family":"Marcos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fernando","family":"Maest\u00fa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alberto","family":"Fern\u00e1ndez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,9,4]]},"reference":[{"issue":"3","key":"260_CR1","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1093\/ageing\/27.3.399","volume":"27","author":"B Agrell","year":"1998","unstructured":"Agrell B, Dehlin O. The clock-drawing test. Age Ageing. 1998;27(3):399\u2013403. https:\/\/doi.org\/10.1093\/ageing\/27.3.399.","journal-title":"Age Ageing"},{"key":"260_CR2","doi-asserted-by":"publisher","unstructured":"Ahmed S, Mitchell J, Arnold R, Nestor PJ, Hodges JR. Predicting rapid clinical progression in amnestic mild cognitive impairment. Dement Geriatr Cogn Disord. 2008;25:170\u2013177. https:\/\/doi.org\/10.1159\/000113014","DOI":"10.1159\/000113014"},{"issue":"3","key":"260_CR3","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1016\/j.jalz.2011.03.008","volume":"7","author":"MS Albert","year":"2011","unstructured":"Albert MS, DeKosky ST, Dickson D, Dubois B, Feldman HH, Fox NC, et al. The diagnosis of mild cognitive impairment due to Alzheimer\u2019s disease: recommendations from the National Institute on Aging-Alzheimer\u2019s Association workgroups on diagnostic guidelines for Alzheimer\u2019s disease. Alzheimer Dement. 2011;7(3):270\u20139. https:\/\/doi.org\/10.1016\/j.jalz.2011.03.008.","journal-title":"Alzheimer Dement"},{"issue":"4","key":"260_CR4","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1016\/j.jalz.2016.03.001","volume":"12","author":"Alzheimer\u2019s Association","year":"2016","unstructured":"Alzheimer\u2019s Association. 2016 Alzheimer\u2019s disease facts and figures. Alzheimer Dement. 2016;12(4):459\u2013509 http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/27570871.","journal-title":"Alzheimer Dement"},{"issue":"8","key":"260_CR5","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1016\/j.tics.2013.06.009","volume":"17","author":"EM Aminoff","year":"2013","unstructured":"Aminoff EM, Kveraga K, Bar M. The role of the parahippocampal cortex in cognition. Trends Cogn Sci. 2013;17(8):379\u201390. https:\/\/doi.org\/10.1016\/j.tics.2013.06.009.","journal-title":"Trends Cogn Sci"},{"issue":"3","key":"260_CR6","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1067\/mcp.2001.113989","volume":"69","author":"AJ Atkinson","year":"2001","unstructured":"Atkinson AJ, Colburn WA, DeGruttola VG, DeMets DL, Downing GJ, Hoth DF, et al. Biomarkers and surrogate endpoints: preferred definitions and conceptual framework. Clin Pharmacol Ther. 2001;69(3):89\u201395. https:\/\/doi.org\/10.1067\/mcp.2001.113989.","journal-title":"Clin Pharmacol Ther"},{"issue":"Suppl 1","key":"260_CR7","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1017\/S1041610297004869","volume":"9","author":"S Auer","year":"1997","unstructured":"Auer S, Reisberg B. The GDS\/FAST staging system. Int Psychogeriatr. 1997;9(Suppl 1):167\u201371 http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/9447440.","journal-title":"Int Psychogeriatr"},{"issue":"10","key":"260_CR8","doi-asserted-by":"publisher","first-page":"1376","DOI":"10.1016\/j.jocn.2011.10.021","volume":"19","author":"Y Bai","year":"2012","unstructured":"Bai Y, Hu Y, Wu Y, Zhu Y, He Q, Jiang C, et al. A prospective, randomized, single-blinded trial on the effect of early rehabilitation on daily activities and motor function of patients with hemorrhagic stroke. J Clin Neurosci. 2012;19(10):1376\u20139. https:\/\/doi.org\/10.1016\/j.jocn.2011.10.021.","journal-title":"J Clin Neurosci"},{"issue":"8","key":"260_CR9","doi-asserted-by":"publisher","first-page":"1254","DOI":"10.1016\/j.neurobiolaging.2007.11.003","volume":"30","author":"A Barabash","year":"2009","unstructured":"Barabash A, Marcos A, Anc\u00edn I, V\u00e1zquez-Alvarez B, de Ugarte C, Gil P, et al. APOE, ACT and CHRNA7 genes in the conversion from amnestic mild cognitive impairment to Alzheimer\u2019s disease. Neurobiol Aging. 2009;30(8):1254\u201364. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2007.11.003.","journal-title":"Neurobiol Aging"},{"issue":"4","key":"260_CR10","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1007\/s11065-017-9361-5","volume":"27","author":"S Belleville","year":"2017","unstructured":"Belleville S, Fouquet C, Hudon C, Zomahoun HTV, Croteau J. Neuropsychological measures that predict progression from mild cognitive impairment to Alzheimer\u2019s type dementia in older adults: a systematic review and meta-analysis. Neuropsychol Rev. 2017;27(4):328\u201353. https:\/\/doi.org\/10.1007\/s11065-017-9361-5.","journal-title":"Neuropsychol Rev"},{"key":"260_CR11","unstructured":"Benton, A., & Hamsher, K. (1989). Multilingual aphasia examination (T. U. of I. Department of Neurology and Psychology (ed.); 2nd ed.)."},{"key":"260_CR12","doi-asserted-by":"publisher","unstructured":"Berendse, H. ., Verbunt, J. P. ., Scheltens, P., van Dijk, B. ., & Jonkman, E. . (2000). Magnetoencephalographic analysis of cortical activity in Alzheimer\u2019s disease: a pilot study. Clin Neurophysiol, 111(4), 604\u2013612. https:\/\/doi.org\/10.1016\/S1388-2457(99)00309-0","DOI":"10.1016\/S1388-2457(99)00309-0"},{"key":"260_CR13","doi-asserted-by":"publisher","unstructured":"Burggren AC, Renner B, Jones M, Donix M, Suthana NA, Martin-Harris L, et al. Thickness in entorhinal and subicular cortex predicts episodic memory decline in mild cognitive impairment. Int J Alzheimers Dis. 2011;2011(956053). https:\/\/doi.org\/10.4061\/2011\/956053.","DOI":"10.4061\/2011\/956053"},{"issue":"9","key":"260_CR14","doi-asserted-by":"publisher","first-page":"1572","DOI":"10.1016\/j.neurobiolaging.2009.09.008","volume":"32","author":"S Burgmans","year":"2011","unstructured":"Burgmans S, van Boxtel MPJ, van den Berg KEM, Gronenschild EHBM, Jacobs HIL, Jolles J, et al. The posterior parahippocampal gyrus is preferentially affected in age-related memory decline. Neurobiol Aging. 2011;32(9):1572\u20138. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2009.09.008.","journal-title":"Neurobiol Aging"},{"issue":"5","key":"260_CR15","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1212\/WNL.0000000000001209","volume":"84","author":"A Caroli","year":"2015","unstructured":"Caroli A, Prestia A, Galluzzi S, Ferrari C, van der Flier WM, Ossenkoppele R, et al. Mild cognitive impairment with suspected nonamyloid pathology (SNAP): prediction of progression. Neurology. 2015;84(5):508\u201315. https:\/\/doi.org\/10.1212\/WNL.0000000000001209.","journal-title":"Neurology"},{"issue":"4","key":"260_CR16","doi-asserted-by":"publisher","first-page":"569","DOI":"10.1093\/hmg\/3.4.569","volume":"3","author":"MC Chartier-Hariln","year":"1994","unstructured":"Chartier-Hariln MC, Parfitt M, Legrain S, P\u00e9rez-tur J, Brousseau T, Evans A, et al. Apolipoprotein e, \u025b4 allele as a major risk factor for sporadic early and late-onset forms of alzheimer\u2019s disease: analysis of the 19q13.2 chromosomal region. Hum Mol Genet. 1994;3(4):569\u201374. https:\/\/doi.org\/10.1093\/hmg\/3.4.569.","journal-title":"Hum Mol Genet"},{"issue":"2","key":"260_CR17","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1016\/j.jneumeth.2007.11.001","volume":"168","author":"AKI Chiang","year":"2008","unstructured":"Chiang AKI, Rennie CJ, Robinson PA, Roberts JA, Rigozzi MK, Whitehouse RW, et al. Automated characterization of multiple alpha peaks in multi-site electroencephalograms. J Neurosci Methods. 2008;168(2):396\u2013411. https:\/\/doi.org\/10.1016\/j.jneumeth.2007.11.001.","journal-title":"J Neurosci Methods"},{"key":"260_CR18","doi-asserted-by":"publisher","unstructured":"Chiang, A. K. I., Rennie, C. J., Robinson, P. A., van Albada, S. J., & Kerr, C. C. (2011). Age trends and sex differences of alpha rhythms including split alpha peaks. Clin Neurophysiol, 122(8), 1505\u20131517. https:\/\/doi.org\/10.1016\/j.clinph.2011.01.040","DOI":"10.1016\/j.clinph.2011.01.040"},{"key":"260_CR19","doi-asserted-by":"publisher","unstructured":"Cohen AC. Maximum likelihood estimation in the Weibull distribution based on complete and on censored samples. Technometrics. 1965. https:\/\/doi.org\/10.1080\/00401706.1965.10490300.","DOI":"10.1080\/00401706.1965.10490300"},{"issue":"5123","key":"260_CR20","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1126\/science.8346443","volume":"261","author":"EH Corder","year":"1993","unstructured":"Corder EH, Saunders AM, Strittmatter WJ, Schmechel DE, Gaskell PC, Small GW, et al. Gene dose of apolipoprotein E type 4 allele and the risk of Alzheimer\u2019s disease in late onset families. Science (New York, NY). 1993;261(5123):921\u20133.","journal-title":"Science (New York, NY)"},{"issue":"2","key":"260_CR21","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1016\/j.jalz.2017.08.013","volume":"14","author":"C Cruchaga","year":"2018","unstructured":"Cruchaga C, Del-Aguila JL, Saef B, Black K, Fernandez MV, Budde J, et al. Polygenic risk score of sporadic late-onset Alzheimer\u2019s disease reveals a shared architecture with the familial and early-onset forms. Alzheimer Dement. 2018;14(2):205\u201314. https:\/\/doi.org\/10.1016\/j.jalz.2017.08.013.","journal-title":"Alzheimer Dement"},{"key":"260_CR22","doi-asserted-by":"publisher","unstructured":"Cuesta P, Garc\u00e9s P, Castellanos NP, L\u00f3pez ME, Aurtenetxe S, Bajo R, et al. Influence of the APOE \u03b54 allele and mild cognitive impairment diagnosis in the disruption of the MEG resting state functional connectivity in sources space. J Alzheimers Dis. 2015;44(2). https:\/\/doi.org\/10.3233\/JAD-141872.","DOI":"10.3233\/JAD-141872"},{"issue":"7","key":"260_CR23","doi-asserted-by":"publisher","first-page":"e21896","DOI":"10.1371\/journal.pone.0021896","volume":"6","author":"Y Cui","year":"2011","unstructured":"Cui Y, Liu B, Luo S, Zhen X, Fan M, Liu T, et al. Identification of conversion from mild cognitive impairment to Alzheimer\u2019s disease using multivariate predictors. PLoS One. 2011;6(7):e21896. https:\/\/doi.org\/10.1371\/journal.pone.0021896.","journal-title":"PLoS One"},{"issue":"1","key":"260_CR24","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1056\/NEJMra040223","volume":"351","author":"JL Cummings","year":"2004","unstructured":"Cummings JL. Alzheimer\u2019s Disease. N Engl J Med. 2004;351(1):56\u201367.","journal-title":"N Engl J Med"},{"issue":"1","key":"260_CR25","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1007\/s00415-018-9108-0","volume":"266","author":"MS De Simone","year":"2019","unstructured":"De Simone MS, Perri R, Fadda L, Caltagirone C, Carlesimo GA. Predicting progression to Alzheimer\u2019s disease in subjects with amnestic mild cognitive impairment using performance on recall and recognition tests. J Neurol. 2019;266(1):102\u201311. https:\/\/doi.org\/10.1007\/s00415-018-9108-0.","journal-title":"J Neurol"},{"key":"260_CR26","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1016\/j.neurobiolaging.2018.10.004","volume":"74","author":"S Delli Pizzi","year":"2019","unstructured":"Delli Pizzi S, Punzi M, Sensi SL. Functional signature of conversion of patients with mild cognitive impairment. Neurobiol Aging. 2019;74:21\u201337. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2018.10.004.","journal-title":"Neurobiol Aging"},{"issue":"8","key":"260_CR27","doi-asserted-by":"publisher","first-page":"1808","DOI":"10.1162\/jocn.2009.21335","volume":"22","author":"RA Diana","year":"2010","unstructured":"Diana RA, Yonelinas AP, Ranganath C. Medial temporal lobe activity during source retrieval reflects information type, not memory strength. J Cogn Neurosci. 2010;22(8):1808\u201318. https:\/\/doi.org\/10.1162\/jocn.2009.21335.","journal-title":"J Cogn Neurosci"},{"issue":"5","key":"260_CR28","doi-asserted-by":"publisher","first-page":"2147","DOI":"10.1523\/JNEUROSCI.4437-12.2013","volume":"33","author":"G Douaud","year":"2013","unstructured":"Douaud G, Menke RAL, Gass A, Monsch AU, Rao A, Whitcher B, et al. Brain microstructure reveals early abnormalities more than two years prior to clinical progression from mild cognitive impairment to Alzheimer\u2019s disease. J Neurosci. 2013;33(5):2147\u201355. https:\/\/doi.org\/10.1523\/JNEUROSCI.4437-12.2013.","journal-title":"J Neurosci"},{"issue":"3","key":"260_CR29","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1212\/01.WNL.0000106462.72282.90","volume":"62","author":"AT Du","year":"2004","unstructured":"Du AT, Schuff N, Kramer JH, Ganzer S, Zhu XP, Jagust WJ, et al. Higher atrophy rate of entorhinal cortex than hippocampus in AD. Neurology. 2004;62(3):422\u20137. https:\/\/doi.org\/10.1212\/01.WNL.0000106462.72282.90.","journal-title":"Neurology"},{"key":"260_CR30","doi-asserted-by":"crossref","unstructured":"Dubois, B., Feldman, H. H., Jacova, C., DeKosky, S. T., Barberger-Gateau, P., Cummings, J., Delacourte, A., Galasko, D., Gauthier, S., Jicha, G., & others. (2007). Research criteria for the diagnosis of {A}lzheimer\u2019s disease: revising the {NINCDS}--{ADRDA} criteria. Lancet Neurol, 6(8), 734\u2013746.","DOI":"10.1016\/S1474-4422(07)70178-3"},{"issue":"9","key":"260_CR31","doi-asserted-by":"publisher","first-page":"732","DOI":"10.1016\/j.biopsych.2013.07.008","volume":"75","author":"MTW Ebbert","year":"2014","unstructured":"Ebbert MTW, Ridge PG, Wilson AR, Sharp AR, Bailey M, Norton MC, et al. Population-based analysis of Alzheimer\u2019s disease risk alleles implicates genetic interactions. Biol Psychiatry. 2014;75(9):732\u20137. https:\/\/doi.org\/10.1016\/j.biopsych.2013.07.008.","journal-title":"Biol Psychiatry"},{"issue":"3\u20134","key":"260_CR32","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/s00429-010-0283-8","volume":"215","author":"C Ech\u00e1varri","year":"2011","unstructured":"Ech\u00e1varri C, Aalten P, Uylings HBM, Jacobs HIL, Visser PJ, Gronenschild EHBM, et al. Atrophy in the parahippocampal gyrus as an early biomarker of alzheimer\u2019s disease. Brain Struct Funct. 2011;215(3\u20134):265\u201371. https:\/\/doi.org\/10.1007\/s00429-010-0283-8.","journal-title":"Brain Struct Funct"},{"issue":"S1","key":"260_CR33","doi-asserted-by":"publisher","first-page":"S23","DOI":"10.1016\/j.neurobiolaging.2014.04.034","volume":"36","author":"SF Eskildsen","year":"2015","unstructured":"Eskildsen SF, Coup\u00e9 P, Fonov VS, Pruessner JC, Collins DL. Structural imaging biomarkers of Alzheimer\u2019s disease: predicting disease progression. Neurobiol Aging. 2015;36(S1):S23\u201331. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2014.04.034.","journal-title":"Neurobiol Aging"},{"issue":"3","key":"260_CR34","doi-asserted-by":"publisher","first-page":"913","DOI":"10.3233\/JAD-170702","volume":"62","author":"C Fenoglio","year":"2018","unstructured":"Fenoglio C, Scarpini E, Serpente M, Galimberti D. Role of genetics and epigenetics in the pathogenesis of Alzheimer\u2019s disease and frontotemporal dementia. J Alzheimers Dis. 2018;62(3):913\u201332. IOS Press. https:\/\/doi.org\/10.3233\/JAD-170702.","journal-title":"J Alzheimers Dis"},{"key":"260_CR35","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez A, Turrero A, Zuluaga P, Gil P, Maest\u00fa F, Campo P, et al. Magnetoencephalographic parietal delta dipole density in mild cognitive impairment. Arch Neurol. 2006;63.","DOI":"10.1001\/archneur.63.3.427"},{"key":"260_CR36","doi-asserted-by":"publisher","unstructured":"Fern\u00e1ndez, A., Turrero, A., Zuluaga, P., Gil-Gregorio, P., del Pozo, F., Maestu, F., & Moratti, S. (2013). MEG delta mapping along the healthy aging-Alzheimer\u2019s disease continuum: diagnostic implications. J Alzheimers Dis, 35(3), 495\u2013507. https:\/\/doi.org\/10.3233\/JAD-121912","DOI":"10.3233\/JAD-121912"},{"issue":"10","key":"260_CR37","doi-asserted-by":"publisher","first-page":"1733","DOI":"10.1016\/j.neurobiolaging.2009.11.008","volume":"32","author":"LK Ferreira","year":"2011","unstructured":"Ferreira LK, Diniz BS, Forlenza OV, Busatto GF, Zanetti MV. Neurostructural predictors of Alzheimer\u2019s disease: a meta-analysis of VBM studies. Neurobiol Aging. 2011;32(10):1733\u201341. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2009.11.008.","journal-title":"Neurobiol Aging"},{"key":"260_CR38","doi-asserted-by":"publisher","unstructured":"Garc\u00e9s, P., Vicente, R., Wibral, M., Pineda-Pardo, J., L\u00f3pez, M. E., Aurtenetxe, S., Marcos, A., de Andr\u00e9s, M. E., Yus, M., Sancho, M., Maest\u00fa, F., & Fern\u00e1ndez, A. (2013). Brain-wide slowing of spontaneous alpha rhythms in mild cognitive impairment. Front Aging Neurosci, 5(DEC). https:\/\/doi.org\/10.3389\/fnagi.2013.00100","DOI":"10.3389\/fnagi.2013.00100"},{"key":"260_CR39","doi-asserted-by":"publisher","first-page":"2926","DOI":"10.3390\/s17122926","volume":"17","author":"P Garc\u00e9s","year":"2017","unstructured":"Garc\u00e9s P, L\u00f3pez-Sanz D, Maest\u00fa F, Pereda E. Choice of magnetometers and gradiometers after signal space separation. Sensors (Switzerland). 2017;17:2926. https:\/\/doi.org\/10.3390\/s17122926.","journal-title":"Sensors (Switzerland)"},{"issue":"9","key":"260_CR40","doi-asserted-by":"publisher","first-page":"961","DOI":"10.1007\/s10346-005-0027-7","volume":"68","author":"JJ Gomar","year":"2011","unstructured":"Gomar JJ, Bobes-Bascaran T, Conejero-goldberg C, Davies P, Goldberg TE, Initiative, for the A. D. N. Utility of combninations of biomarkers, cognitive markers, and risk factors to predict convresion from mild cognitive impairment to Alzheimer disease in patients in the Alzheimer\u2019s disease neuroimaging initiative. Arch Gen Psychiatry. 2011;68(9):961\u20139. https:\/\/doi.org\/10.1007\/s10346-005-0027-7.","journal-title":"Arch Gen Psychiatry"},{"issue":"1","key":"260_CR41","first-page":"82","volume":"10","author":"T Grimmer","year":"2013","unstructured":"Grimmer T, Wutz C, Drzezga A, F\u00f6rster S, F\u00f6rstl H, Ortner M, et al. The usefulness of amyloid imaging in predicting the clinical outcome after two years in subjects with mild cognitive impairment. Curr Alzheimer Res. 2013;10(1):82\u20135 http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/23036071.","journal-title":"Curr Alzheimer Res"},{"key":"260_CR42","doi-asserted-by":"publisher","unstructured":"Guerreiro, R., & Hardy, J. (2014). Genetics of alzheimer\u2019s disease. In Neurotherapeutics (Vol. 11, Issue 4, pp. 732\u2013737). Springer New York LLC. https:\/\/doi.org\/10.1007\/s13311-014-0295-9","DOI":"10.1007\/s13311-014-0295-9"},{"issue":"7","key":"260_CR43","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1038\/sj.mp.4001473","volume":"9","author":"H Hampel","year":"2004","unstructured":"Hampel H, Teipel SJ, Fuchsberger T, Andreasen N, Wiltfang J, Otto M, et al. Value of CSF beta-amyloid1\u201342 and tau as predictors of Alzheimer\u2019s disease in patients with mild cognitive impairment. Mol Psychiatry. 2004;9(7):705\u201310. https:\/\/doi.org\/10.1038\/sj.mp.4001473.","journal-title":"Mol Psychiatry"},{"issue":"10","key":"260_CR44","doi-asserted-by":"publisher","first-page":"1088","DOI":"10.1038\/ng.440","volume":"41","author":"D Harold","year":"2009","unstructured":"Harold D, Abraham R, Hollingworth P, Sims R, Gerrish A, Hamshere ML, et al. Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer\u2019s disease. Nat Genet. 2009;41(10):1088\u201393. https:\/\/doi.org\/10.1038\/ng.440.","journal-title":"Nat Genet"},{"issue":"6","key":"260_CR45","doi-asserted-by":"publisher","first-page":"e66877","DOI":"10.1371\/journal.pone.0066877","volume":"8","author":"S Hatashita","year":"2013","unstructured":"Hatashita S, Yamasaki H. Diagnosed mild cognitive impairment due to Alzheimer\u2019s disease with PET biomarkers of beta amyloid and neuronal dysfunction. PLoS One. 2013;8(6):e66877. https:\/\/doi.org\/10.1371\/journal.pone.0066877.","journal-title":"PLoS One"},{"key":"260_CR46","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/j.neuroimage.2012.12.018","volume":"70","author":"R Hindriks","year":"2013","unstructured":"Hindriks R, van Putten MJAM. Thalamo-cortical mechanisms underlying changes in amplitude and frequency of human alpha oscillations. NeuroImage. 2013;70:150\u201363. https:\/\/doi.org\/10.1016\/j.neuroimage.2012.12.018.","journal-title":"NeuroImage"},{"issue":"3","key":"260_CR47","doi-asserted-by":"crossref","first-page":"545","DOI":"10.1016\/S0022-2275(20)43176-1","volume":"31","author":"JE Hixson","year":"1990","unstructured":"Hixson JE, Vernier DT. Restriction isotyping of human apolipoprotein E by gene amplification and cleavage with HhaI. J Lipid Res. 1990;31(3):545\u20138 http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/2341813.","journal-title":"J Lipid Res"},{"key":"260_CR48","doi-asserted-by":"publisher","unstructured":"Houlden H, Crook R, Backhovens H, Prihar G, Baker M, Hutton M, et al. ApoE genotype is a risk factor in nonpresenilin early-onset Alzheimer\u2019s disease families. Am J Med Genet. 1998;81(1). https:\/\/doi.org\/10.1002\/(SICI)1096-8628(19980207)81:1<117::AID-AJMG19>3.0.CO;2-M.","DOI":"10.1002\/(SICI)1096-8628(19980207)81:1<117::AID-AJMG19>3.0.CO;2-M"},{"key":"260_CR49","doi-asserted-by":"publisher","unstructured":"Hu X, Pickering E, Liu YC, Hall S, Fournier H, Katz E, et al. Meta-analysis for genome-wide association study identifies multiple variants at the BIN1 locus associated with late-onset Alzheimer\u2019s disease. PLoS One. 2011;6(2). https:\/\/doi.org\/10.1371\/journal.pone.0016616.","DOI":"10.1371\/journal.pone.0016616"},{"issue":"11","key":"260_CR50","doi-asserted-by":"publisher","first-page":"1961","DOI":"10.1016\/S1388-2457(00)00454-5","volume":"111","author":"C Huang","year":"2000","unstructured":"Huang C, Wahlund L-O, Dierks T, Julin P, Winblad B, Jelic V. Discrimination of Alzheimer\u2019s disease and mild cognitive impairment by equivalent EEG sources: a cross-sectional and longitudinal study. Clin Neurophysiol. 2000;111(11):1961\u20137. https:\/\/doi.org\/10.1016\/S1388-2457(00)00454-5.","journal-title":"Clin Neurophysiol"},{"issue":"3","key":"260_CR51","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.jalz.2011.03.004","volume":"7","author":"CR Jack","year":"2011","unstructured":"Jack CR, Albert MS, Knopman DS, McKhann GM, Sperling RA, Carrillo MC, et al. Introduction to the recommendations from the National Institute on Aging-Alzheimer\u2019s Association workgroups on diagnostic guidelines for Alzheimer\u2019s disease. Alzheimer Dement. 2011;7(3):257\u201362. https:\/\/doi.org\/10.1016\/j.jalz.2011.03.004.","journal-title":"Alzheimer Dement"},{"issue":"18","key":"260_CR52","doi-asserted-by":"publisher","first-page":"1605","DOI":"10.1212\/WNL.0000000000000386","volume":"82","author":"CR Jack","year":"2014","unstructured":"Jack CR, Wiste HJ, Knopman DS, Vemuri P, Mielke MM, Weigand SD, et al. Rates of \u03b2-amyloid accumulation are independent of hippocampal neurodegeneration. Neurology. 2014;82(18):1605\u201312. https:\/\/doi.org\/10.1212\/WNL.0000000000000386.","journal-title":"Neurology"},{"issue":"4","key":"260_CR53","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1016\/S0197-4580(00)00153-6","volume":"21","author":"V Jelic","year":"2000","unstructured":"Jelic V, Johansson S-E, Almkvist O, Shigeta M, Julin P, Nordberg A, et al. Quantitative electroencephalography in mild cognitive impairment: longitudinal changes and possible prediction of Alzheimer\u2019s disease. Neurobiol Aging. 2000;21(4):533\u201340. https:\/\/doi.org\/10.1016\/S0197-4580(00)00153-6.","journal-title":"Neurobiol Aging"},{"key":"260_CR54","unstructured":"Kaplan E, Goodglass H, Weintraub S. The Boston Naming Test: Lea and Febiger; 1983."},{"issue":"1","key":"260_CR55","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.biopsych.2014.05.006","volume":"77","author":"CM Karch","year":"2015","unstructured":"Karch CM, Goate AM. Alzheimer\u2019s disease risk genes and mechanisms of disease pathogenesis. Biol Psychiatry. 2015;77(1):43\u201351. https:\/\/doi.org\/10.1016\/j.biopsych.2014.05.006.","journal-title":"Biol Psychiatry"},{"issue":"APR","key":"260_CR56","doi-asserted-by":"publisher","first-page":"260","DOI":"10.3389\/fnins.2018.00260","volume":"12","author":"K Kauppi","year":"2018","unstructured":"Kauppi K, Fan CC, McEvoy LK, Holland D, Tan CH, Chen CH, et al. Combining polygenic hazard score with volumetric MRI and cognitive measures improves prediction of progression from mild cognitive impairment to Alzheimer\u2019s disease. Front Neurosci. 2018;12(APR):260. https:\/\/doi.org\/10.3389\/fnins.2018.00260.","journal-title":"Front Neurosci"},{"issue":"2\u20133","key":"260_CR57","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1016\/S0165-0173(98)00056-3","volume":"29","author":"W Klimesch","year":"1999","unstructured":"Klimesch W. EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res Rev. 1999;29(2\u20133):169\u201395. https:\/\/doi.org\/10.1016\/S0165-0173(98)00056-3.","journal-title":"Brain Res Rev"},{"key":"260_CR58","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1016\/j.neurobiolaging.2018.05.018","volume":"69","author":"MG Knyazeva","year":"2018","unstructured":"Knyazeva MG, Barzegaran E, Vildavski VY, Demonet JF. Aging of human alpha rhythm. Neurobiol Aging. 2018;69:261\u201373. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2018.05.018.","journal-title":"Neurobiol Aging"},{"key":"260_CR59","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1016\/j.neurobiolaging.2015.11.001","volume":"38","author":"S Krumm","year":"2016","unstructured":"Krumm S, Kivisaari SL, Probst A, Monsch AU, Reinhardt J, Ulmer S, et al. Cortical thinning of parahippocampal subregions in very early Alzheimer\u2019s disease. Neurobiol Aging. 2016;38:188\u201396. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2015.11.001.","journal-title":"Neurobiol Aging"},{"key":"260_CR60","doi-asserted-by":"publisher","unstructured":"Kunkle, B. W., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., Boland, A., Vronskaya, M., van der Lee, S. J., Amlie-Wolf, A., Bellenguez, C., Frizatti, A., Chouraki, V., Martin, E. R., Sleegers, K., Badarinarayan, N., Jakobsdottir, J., Hamilton-Nelson, K. L., Moreno-Grau, S., \u2026 Pericak-Vance, M. A. (2019). Author correction: genetic meta-analysis of diagnosed Alzheimer\u2019s disease identifies new risk loci and implicates A\u03b2, tau, immunity and lipid processing. Nat Genet, (2019), 51, 3, 414\u2013430, https:\/\/doi.org\/10.1038\/s41588-019-0358-2. In Nature Genetics (Vol. 51, Issue 9, pp. 1423\u20131424). Nature Publishing Group. 10.1038\/s41588-019-0495-7","DOI":"10.1038\/s41588-019-0358-2"},{"key":"260_CR61","doi-asserted-by":"publisher","unstructured":"Kwak YT. Quantitative EEG findings in different stages of Alzheimer\u2019s disease. Journal of Clinical Neurophysiology: Official Publication of the American Electroencephalographic Society. 2006;23(5):456\u2013461. https:\/\/doi.org\/10.1097\/01.wnp.0000223453.47663.63","DOI":"10.1097\/01.wnp.0000223453.47663.63"},{"issue":"12","key":"260_CR62","doi-asserted-by":"publisher","first-page":"1452","DOI":"10.1038\/ng.2802","volume":"45","author":"JC Lambert","year":"2013","unstructured":"Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, et al. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer\u2019s disease. Nat Genet. 2013;45(12):1452\u20138. https:\/\/doi.org\/10.1038\/ng.2802.","journal-title":"Nat Genet"},{"issue":"3","key":"260_CR63","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1212\/WNL.0b013e3181e8e8b8","volume":"75","author":"SM Landau","year":"2010","unstructured":"Landau SM, Harvey D, Madison CM, Reiman EM, Foster NL, Aisen PS, et al. Comparing predictors of conversion and decline in mild cognitive impairment. Neurology. 2010;75(3):230\u20138. https:\/\/doi.org\/10.1212\/WNL.0b013e3181e8e8b8.","journal-title":"Neurology"},{"key":"260_CR64","doi-asserted-by":"publisher","unstructured":"Lavy Y, Dwolatzky T, Kaplan Z, Guez J, Todder D. Neurofeedback Improves Memory and Peak Alpha Frequency in Individuals with Mild Cognitive Impairment. Applied Psychophysiology Biofeedback. 2019;44(1):41\u201349. https:\/\/doi.org\/10.1007\/s10484-018-9418-0","DOI":"10.1007\/s10484-018-9418-0"},{"issue":"3","key":"260_CR65","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1093\/geront\/9.3_Part_1.179","volume":"9","author":"MP Lawton","year":"1969","unstructured":"Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. The Gerontologist. 1969;9(3):179\u201386 http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/5349366.","journal-title":"The Gerontologist"},{"issue":"3","key":"260_CR66","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1002\/acn3.716","volume":"6","author":"G Leonenko","year":"2019","unstructured":"Leonenko G, Sims R, Shoai M, Frizzati A, Boss\u00f9 P, Spalletta G, et al. Polygenic risk and hazard scores for Alzheimer\u2019s disease prediction. Ann Clin Transl Neur. 2019;6(3):456\u201365. https:\/\/doi.org\/10.1002\/acn3.716.","journal-title":"Ann Clin Transl Neur"},{"key":"260_CR67","doi-asserted-by":"publisher","unstructured":"Li, M., Lu, S., Li, J., & Zhong, N. (2010). The role of the parahippocampal cortex in memory encoding and retrieval: an fMRI study. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6334 LNAI, 377\u2013386. https:\/\/doi.org\/10.1007\/978-3-642-15314-3_36","DOI":"10.1007\/978-3-642-15314-3_36"},{"issue":"1","key":"260_CR68","doi-asserted-by":"publisher","first-page":"12","DOI":"10.7726\/ajad.2013.1002","volume":"2","author":"S Li","year":"2013","unstructured":"Li S, Okonkwo O, Albert M, Wang M-C. Variation in variables that predict progression from MCI to AD dementia over duration of follow-up. Am J Alzheimers Dis. 2013;2(1):12\u201328. https:\/\/doi.org\/10.7726\/ajad.2013.1002.","journal-title":"Am J Alzheimers Dis"},{"issue":"2","key":"260_CR69","doi-asserted-by":"publisher","first-page":"361","DOI":"10.3233\/JAD-161201","volume":"58","author":"K Li","year":"2017","unstructured":"Li K, Chan W, Doody RS, Quinn J, Luo S. Prediction of conversion to Alzheimer\u2019s disease with longitudinal measures and time-to-event data. J Alzheimers Dis. 2017;58(2):361\u201371. https:\/\/doi.org\/10.3233\/JAD-161201.","journal-title":"J Alzheimers Dis"},{"key":"260_CR70","doi-asserted-by":"publisher","unstructured":"Li, X., Id, X. Y., & Sun, Z. (2020). Alpha rhythm slowing in a modified thalamo-cortico-thalamic model related with Alzheimer\u2019s disease. 1\u201322. https:\/\/doi.org\/10.1371\/journal.pone.0229950","DOI":"10.1371\/journal.pone.0229950"},{"issue":"2","key":"260_CR71","doi-asserted-by":"publisher","first-page":"e55246","DOI":"10.1371\/journal.pone.0055246","volume":"8","author":"Y Liu","year":"2013","unstructured":"Liu Y, Mattila J, Ruiz M\u00c1M, Paajanen T, Koikkalainen J, van Gils M, et al. Predicting AD conversion: comparison between prodromal AD guidelines and computer assisted PredictAD tool. PLoS One. 2013;8(2):e55246. https:\/\/doi.org\/10.1371\/journal.pone.0055246.","journal-title":"PLoS One"},{"issue":"3","key":"260_CR72","first-page":"189","volume":"7","author":"A Lobo","year":"1979","unstructured":"Lobo A, Ezquerra J, G\u00f3mez Burgada F, Sala JM, Seva D\u00edaz A. Cognocitive mini-test (a simple practical test to detect intellectual changes in medical patients). Actas Luso Esp Neurol Psiquiatr Cienc Afines. 1979;7(3):189\u2013202 http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/474231.","journal-title":"Actas Luso Esp Neurol Psiquiatr Cienc Afines"},{"issue":"44","key":"260_CR73","doi-asserted-by":"publisher","first-page":"14551","DOI":"10.1523\/JNEUROSCI.0964-14.2014","volume":"34","author":"ME L\u00f3pez","year":"2014","unstructured":"L\u00f3pez ME, Bru\u00f1a R, Aurtenetxe S, Pineda-Pardo JA, Marcos A, Arrazola J, et al. Alpha-band hypersynchronization in progressive mild cognitive impairment: a magnetoencephalography study. J Neurosci. 2014;34(44):14551\u20139. https:\/\/doi.org\/10.1523\/JNEUROSCI.0964-14.2014.","journal-title":"J Neurosci"},{"key":"260_CR74","doi-asserted-by":"publisher","unstructured":"L\u00f3pez ME, Turrero A, Cuesta P, L\u00f3pez-Sanz D, Bru\u00f1a R, Marcos A, et al. Searching for primary predictors of conversion from mild cognitive impairment to Alzheimer\u2019s disease: a multivariate follow-up study. J Alzheimers Dis. 2016;52(1). https:\/\/doi.org\/10.3233\/JAD-151034.","DOI":"10.3233\/JAD-151034"},{"key":"260_CR75","doi-asserted-by":"publisher","first-page":"37685","DOI":"10.1038\/srep37685","volume":"6","author":"D L\u00f3pez-Sanz","year":"2016","unstructured":"L\u00f3pez-Sanz D, Bru\u00f1a R, Garc\u00e9s P, Camara C, Serrano N, Rodr\u00edguez-Rojo IC, et al. Alpha band disruption in the AD-continuum starts in the subjective cognitive decline stage: a MEG study. Sci Rep. 2016;6:37685. https:\/\/doi.org\/10.1038\/srep37685.","journal-title":"Sci Rep"},{"key":"260_CR76","doi-asserted-by":"publisher","unstructured":"Lozupone, M., Seripa, D., Stella, E., La Montagna, M., Solfrizzi, V., Quaranta, N., Veneziani, F., Cester, A., Sardone, R., Bonfiglio, C., Giannelli, G., Bisceglia, P., Bringiotti, R., Daniele, A., Greco, A., Bellomo, A., Logroscino, G., & Panza, F. (2017). Innovative biomarkers in psychiatric disorders: a major clinical challenge in psychiatry. In Expert Review of Proteomics (Vol. 14, Issue 9, pp. 809\u2013824). Taylor and Francis Ltd. https:\/\/doi.org\/10.1080\/14789450.2017.1375857","DOI":"10.1080\/14789450.2017.1375857"},{"key":"260_CR77","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.neurobiolaging.2018.10.028","volume":"80","author":"MW Lutz","year":"2019","unstructured":"Lutz MW, Casanova R, Saldana S, Kuchibhatla M, Plassman BL, Hayden KM. Analysis of pleiotropic genetic effects on cognitive impairment, systemic inflammation, and plasma lipids in the Health and Retirement Study. Neurobiol Aging. 2019;80:173\u201386. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2018.10.028.","journal-title":"Neurobiol Aging"},{"issue":"7","key":"260_CR78","doi-asserted-by":"publisher","first-page":"739","DOI":"10.1007\/s00109-016-1427-y","volume":"94","author":"RW Mahley","year":"2016","unstructured":"Mahley RW. Apolipoprotein E: from cardiovascular disease to neurodegenerative disorders. Int J Mol Med. 2016;94(7):739\u201346. Springer Verlag. https:\/\/doi.org\/10.1007\/s00109-016-1427-y.","journal-title":"Int J Mol Med"},{"issue":"1","key":"260_CR79","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/S0896-6273(02)01147-9","volume":"37","author":"JR Manns","year":"2003","unstructured":"Manns JR, Hopkins RO, Reed JM, Kitchener EG, Squire LR. Recognition memory and the human hippocampus. Neuron. 2003;37(1):171\u201380. https:\/\/doi.org\/10.1016\/S0896-6273(02)01147-9.","journal-title":"Neuron"},{"issue":"3","key":"260_CR80","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1016\/j.jalz.2011.03.005","volume":"7","author":"GM McKhann","year":"2011","unstructured":"McKhann GM, Knopman DS, Chertkow H, Hyman BT, Jack CR, Kawas CH, et al. The diagnosis of dementia due to Alzheimer\u2019s disease: recommendations from the National Institute on Aging-Alzheimer\u2019s Association workgroups on diagnostic guidelines for Alzheimer\u2019s disease. Alzheimer Dement. 2011;7(3):263\u20139. https:\/\/doi.org\/10.1016\/j.jalz.2011.03.005.","journal-title":"Alzheimer Dement"},{"key":"260_CR81","doi-asserted-by":"publisher","unstructured":"Mitchell J, Arnold R, Dawson K, Nestor PJ, Hodges JR. Outcome in subgroups of mild cognitive impairment (MCI) is highlypredictable using a simple algorithm. J Neurol. 2009;256:1500\u20131509. https:\/\/doi.org\/10.1007\/s00415-009-5152-0.","DOI":"10.1007\/s00415-009-5152-0"},{"key":"260_CR82","doi-asserted-by":"publisher","unstructured":"Mitolo M, Stanzani-Maserati M, Capellari S, Testa C, Rucci P, Poda R, et al. Predicting conversion from mild cognitive impairment to Alzheimer\u2019s disease using brain 1 H-MRS and volumetric changes: a two- year retrospective follow-up study. NeuroImage: Clinical. 2019;23. https:\/\/doi.org\/10.1016\/j.nicl.2019.101843.","DOI":"10.1016\/j.nicl.2019.101843"},{"issue":"2","key":"260_CR83","doi-asserted-by":"publisher","first-page":"161","DOI":"10.2174\/156720506776383103","volume":"3","author":"PJ Modrego","year":"2006","unstructured":"Modrego PJ. Predictors of conversion to dementia of probable Alzheimer type in patients with mild cognitive impairment. Curr Alzheimer Res. 2006;3(2):161\u201370 http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/16611017.","journal-title":"Curr Alzheimer Res"},{"issue":"3","key":"260_CR84","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1001\/jamaneurol.2018.4249","volume":"76","author":"JC Morris","year":"2019","unstructured":"Morris JC, Schindler SE, McCue LM, Moulder KL, Benzinger TLS, Cruchaga C, et al. Assessment of racial disparities in biomarkers for Alzheimer disease. JAMA Neurol. 2019;76(3):264\u201373. https:\/\/doi.org\/10.1001\/jamaneurol.2018.4249.","journal-title":"JAMA Neurol"},{"issue":"22","key":"260_CR85","doi-asserted-by":"publisher","first-page":"3637","DOI":"10.1088\/0031-9155\/48\/22\/002","volume":"48","author":"G Nolte","year":"2003","unstructured":"Nolte G. The magnetic lead field theorem in the quasi-static approximation and its use for magnetoencephalography forward calculation in realistic volume conductors. Phys Med Biol. 2003;48(22):3637\u201352. https:\/\/doi.org\/10.1088\/0031-9155\/48\/22\/002.","journal-title":"Phys Med Biol"},{"issue":"1","key":"260_CR86","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1080\/096020100389282","volume":"10","author":"G Norris","year":"2000","unstructured":"Norris G, Tate RL. The behavioural assessment of the dysexecutive syndrome (BADS): ecological, concurrent and construct validity. Neuropsychol Rehabil. 2000;10(1):33\u201345. https:\/\/doi.org\/10.1080\/096020100389282.","journal-title":"Neuropsychol Rehabil"},{"issue":"1","key":"260_CR87","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/0028-3932(71)90067-4","volume":"9","author":"RC Oldfield","year":"1971","unstructured":"Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 1971;9(1):97\u2013113 http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/5146491.","journal-title":"Neuropsychologia"},{"key":"260_CR88","doi-asserted-by":"publisher","first-page":"156869","DOI":"10.1155\/2011\/156869","volume":"2011","author":"R Oostenveld","year":"2011","unstructured":"Oostenveld R, Fries P, Maris E, Schoffelen J-M. FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput Intel Neurosci. 2011;2011:156869. https:\/\/doi.org\/10.1155\/2011\/156869.","journal-title":"Comput Intel Neurosci"},{"issue":"9","key":"260_CR89","doi-asserted-by":"publisher","first-page":"1990","DOI":"10.1016\/j.clinph.2006.05.034","volume":"117","author":"D Osipova","year":"2006","unstructured":"Osipova D, Pekkonen E, Ahveninen J. Enhanced magnetic auditory steady-state response in early Alzheimer\u2019s disease. Clin Neurophysiol. 2006;117(9):1990\u20135. https:\/\/doi.org\/10.1016\/j.clinph.2006.05.034.","journal-title":"Clin Neurophysiol"},{"issue":"5","key":"260_CR90","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1055\/s-0031-1299784","volume":"31","author":"HL Paulson","year":"2011","unstructured":"Paulson HL, Igo I. Genetics of dementia. Semin Neurol. 2011;31(5):449\u201360. https:\/\/doi.org\/10.1055\/s-0031-1299784.","journal-title":"Semin Neurol"},{"key":"260_CR91","volume-title":"Programa Integrado de Exploraci\u00f3n Neuropsicol\u00f3gica- Test Barcelona","author":"J Pe\u00f1a-Casanova","year":"1990","unstructured":"Pe\u00f1a-Casanova J. Programa Integrado de Exploraci\u00f3n Neuropsicol\u00f3gica- Test Barcelona. Masson SA: Protocolo; 1990."},{"issue":"3","key":"260_CR92","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1016\/S0197-4580(03)00084-8","volume":"25","author":"C Pennanen","year":"2004","unstructured":"Pennanen C, Kivipelto M, Tuomainen S, Hartikainen P, H\u00e4nninen T, Laakso MP, et al. Hippocampus and entorhinal cortex in mild cognitive impairment and early AD. Neurobiol Aging. 2004;25(3):303\u201310. https:\/\/doi.org\/10.1016\/S0197-4580(03)00084-8.","journal-title":"Neurobiol Aging"},{"key":"260_CR93","doi-asserted-by":"publisher","unstructured":"Pereira, T., Ferreira, F. L., Cardoso, S., Silva, D., De Mendon\u00e7a, A., Guerreiro, M., & Madeira, S. C. (2018). Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer\u2019s disease: a feature selection ensemble combining stability and predictability. BMC Med Inform Decis Mak, 18(1), 1\u201320. https:\/\/doi.org\/10.1186\/s12911-018-0710-y.","DOI":"10.1186\/s12911-018-0710-y"},{"issue":"3","key":"260_CR94","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1093\/geronj\/37.3.323","volume":"37","author":"RI Pfeffer","year":"1982","unstructured":"Pfeffer RI, Kurosaki TT, Harrah CH, Chance JM, Filos S. Measurement of functional activities in older adults in the community. J Gerontol. 1982;37(3):323\u20139 http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/7069156.","journal-title":"J Gerontol"},{"issue":"4","key":"260_CR95","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1016\/j.biopsych.2017.05.014","volume":"83","author":"AA Pimenova","year":"2018","unstructured":"Pimenova AA, Raj T, Goate AM. Untangling genetic risk for Alzheimer\u2019s disease. Biol Psychiatry. 2018;83(4):300\u201310. Elsevier USA. https:\/\/doi.org\/10.1016\/j.biopsych.2017.05.014.","journal-title":"Biol Psychiatry"},{"key":"260_CR96","doi-asserted-by":"publisher","unstructured":"Poil S-S, De Haan W, van der Flier WM, Mansvelder HD, Scheltens P, Linkenkaer-Hansen K. Integrative EEG biomarkers predict progression to Alzheimer\u2019s disease at the MCI stage. Front Aging Neurosci. 2013;5. https:\/\/doi.org\/10.3389\/fnagi.2013.00058.","DOI":"10.3389\/fnagi.2013.00058"},{"key":"260_CR97","doi-asserted-by":"publisher","unstructured":"Pusil S, L\u00f3pez ME, Cuesta P, Bru\u00f1a R, Pereda E, Maest\u00fa F. Hypersynchronization in mild cognitive impairment: the \u2018X\u2019 model. Brain. 2019:1\u201315. https:\/\/doi.org\/10.1093\/brain\/awz320.","DOI":"10.1093\/brain\/awz320"},{"key":"260_CR98","doi-asserted-by":"publisher","unstructured":"Rajabli F, Feliciano BE, Celis K, Hamilton-Nelson KL, Whitehead PL, Adams LD, et al. Ancestral origin of ApoE \u03b54 Alzheimer disease risk in Puerto Rican and African American populations. PLoS Genet. 2018;14(12). https:\/\/doi.org\/10.1371\/journal.pgen.1007791.","DOI":"10.1371\/journal.pgen.1007791"},{"issue":"9","key":"260_CR99","doi-asserted-by":"publisher","first-page":"1136","DOI":"10.1176\/ajp.139.9.1136","volume":"139","author":"B Reisberg","year":"1982","unstructured":"Reisberg B, Ferris SH, de Leon MJ, Crook T. The Global Deterioration Scale for assessment of primary degenerative dementia. Am J Psychiatry. 1982;139(9):1136\u20139 http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/7114305.","journal-title":"Am J Psychiatry"},{"key":"260_CR100","doi-asserted-by":"publisher","first-page":"271","DOI":"10.2466\/pms.1958.8.3.271","volume":"8","author":"R Reitan","year":"1958","unstructured":"Reitan R. Validity of the Trail Making test as an indicator of organic brain damage. Percept Mot Skills. 1958;8:271\u20136.","journal-title":"Percept Mot Skills"},{"issue":"5","key":"260_CR101","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1002\/ana.410070516","volume":"7","author":"WG Rosen","year":"1980","unstructured":"Rosen WG, Terry RD, Fuld PA, Katzman R, Peck A. Pathological verification of ischemic score in differentiation of dementias. Ann Neurol. 1980;7(5):486\u20138. https:\/\/doi.org\/10.1002\/ana.410070516.","journal-title":"Ann Neurol"},{"issue":"3","key":"260_CR102","doi-asserted-by":"publisher","first-page":"793","DOI":"10.1016\/j.neuroscience.2006.08.049","volume":"143","author":"PM Rossini","year":"2006","unstructured":"Rossini PM, Del Percio C, Pasqualetti P, Cassetta E, Binetti G, Dal Forno G, et al. Conversion from mild cognitive impairment to Alzheimer\u2019s disease is predicted by sources and coherence of brain electroencephalography rhythms. Neuroscience. 2006;143(3):793\u2013803. https:\/\/doi.org\/10.1016\/j.neuroscience.2006.08.049.","journal-title":"Neuroscience"},{"issue":"17","key":"260_CR103","doi-asserted-by":"publisher","first-page":"1809","DOI":"10.1212\/WNL.0b013e3182704056","volume":"79","author":"IA van Rossum","year":"2012","unstructured":"van Rossum IA, Vos SJB, Burns L, Knol DL, Scheltens P, Soininen H, et al. Injury markers predict time to dementia in subjects with MCI and amyloid pathology. Neurology. 2012;79(17):1809\u201316. https:\/\/doi.org\/10.1212\/WNL.0b013e3182704056.","journal-title":"Neurology"},{"issue":"4","key":"260_CR104","doi-asserted-by":"publisher","first-page":"1310.e1","DOI":"10.1016\/j.neurobiolaging.2012.08.014","volume":"34","author":"A Ruiz","year":"2013","unstructured":"Ruiz A, Hern\u00e1ndez I, Ronsende-Roca M, Gonz\u00e1lez-P\u00e9rez A, Rodriguez-Noriega E, Ram\u00edrez-Lorca R, et al. Exploratory analysis of seven Alzheimer\u2019s disease genes: disease progression. Neurobiol Aging. 2013;34(4):1310.e1\u20137. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2012.08.014.","journal-title":"Neurobiol Aging"},{"issue":"1\u20133","key":"260_CR105","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1016\/s0167-8760(97)00778-2","volume":"26","author":"D Samson-Dollfus","year":"1997","unstructured":"Samson-Dollfus D, Delapierre G, Do Marcolino C, Blondeau C. Normal and pathological changes in alpha rhythms. Int J Psychophysiol. 1997;26(1\u20133):395\u2013409. https:\/\/doi.org\/10.1016\/s0167-8760(97)00778-2.","journal-title":"Int J Psychophysiol"},{"issue":"9","key":"260_CR106","doi-asserted-by":"publisher","first-page":"1124","DOI":"10.1001\/archneurol.2011.189","volume":"68","author":"C Schmidt","year":"2011","unstructured":"Schmidt C, Wolff M, Weitz M, Bartlau T, Korth C, Zerr I. Rapidly progressive alzheimer disease. Arch Neurol. 2011;68(9):1124\u201330. https:\/\/doi.org\/10.1001\/archneurol.2011.189.","journal-title":"Arch Neurol"},{"issue":"5","key":"260_CR107","doi-asserted-by":"publisher","first-page":"4333","DOI":"10.1007\/s12035-017-0547-x","volume":"55","author":"D Seripa","year":"2018","unstructured":"Seripa D, Panza F, Paroni G, D\u2019Onofrio G, Bisceglia P, Gravina C, et al. Role of CLU, PICALM, and TNK1 genotypes in aging with and without Alzheimer\u2019s disease. Mol Neurobiol. 2018;55(5):4333\u201344. https:\/\/doi.org\/10.1007\/s12035-017-0547-x.","journal-title":"Mol Neurobiol"},{"key":"260_CR108","doi-asserted-by":"publisher","unstructured":"Sharma R, Nadkarni S. Biophysical basis of alpha rhythm disruption in Alzheimer\u2019s disease. BioRxiv. 2018;335471. https:\/\/doi.org\/10.1101\/335471.","DOI":"10.1101\/335471"},{"issue":"2","key":"260_CR109","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.neurobiolaging.2008.03.025","volume":"31","author":"E Stomrud","year":"2010","unstructured":"Stomrud E, Hansson O, Minthon L, Blennow K, Ros\u00e9n I, Londos E. Slowing of EEG correlates with CSF biomarkers and reduced cognitive speed in elderly with normal cognition over 4 years. Neurobiol Aging. 2010;31(2):215\u201323. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2008.03.025.","journal-title":"Neurobiol Aging"},{"issue":"7","key":"260_CR110","doi-asserted-by":"publisher","first-page":"1089","DOI":"10.1016\/j.neurobiolaging.2008.08.003","volume":"31","author":"TR Stoub","year":"2010","unstructured":"Stoub TR, Rogalski EJ, Leurgans S, Bennett DA, deToledo-Morrell L. Rate of entorhinal and hippocampal atrophy in incipient and mild AD: relation to memory function. Neurobiol Aging. 2010;31(7):1089\u201398. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2008.08.003.","journal-title":"Neurobiol Aging"},{"key":"260_CR111","doi-asserted-by":"publisher","first-page":"1759","DOI":"10.1088\/0031-9155\/51\/7\/008","volume":"51","author":"S Taulu","year":"2006","unstructured":"Taulu S, Simola J. Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements. Phys Med Biol. 2006;51:1759\u201368. https:\/\/doi.org\/10.1088\/0031-9155\/51\/7\/008.","journal-title":"Phys Med Biol"},{"issue":"12","key":"260_CR112","doi-asserted-by":"publisher","first-page":"1180","DOI":"10.1212\/WNL.0000000000003734","volume":"88","author":"G Tosto","year":"2017","unstructured":"Tosto G, Bird TD, Tsuang D, Bennett DA, Boeve BF, Cruchaga C, et al. Polygenic risk scores in familial Alzheimer disease. Neurology. 2017;88(12):1180\u20136. https:\/\/doi.org\/10.1212\/WNL.0000000000003734.","journal-title":"Neurology"},{"issue":"11","key":"260_CR113","doi-asserted-by":"publisher","first-page":"1231","DOI":"10.1093\/aje\/kwm085","volume":"165","author":"SL Tyas","year":"2007","unstructured":"Tyas SL, Salazar JC, Snowdon DA, Desrosiers MF, Riley KP, Mendiondo MS, et al. Transitions to mild cognitive impairments, dementia, and death: findings from the Nun Study. Am J Epidemiol. 2007;165(11):1231\u20138. https:\/\/doi.org\/10.1093\/aje\/kwm085.","journal-title":"Am J Epidemiol"},{"issue":"1","key":"260_CR114","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1006\/nimg.2001.0978","volume":"15","author":"N Tzourio-Mazoyer","year":"2002","unstructured":"Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage. 2002;15(1):273\u201389. https:\/\/doi.org\/10.1006\/nimg.2001.0978.","journal-title":"NeuroImage"},{"issue":"1","key":"260_CR115","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1111\/j.1749-6632.2000.tb06731.x","volume":"911","author":"G Van Hoesen","year":"2000","unstructured":"Van Hoesen G, Augustinack JC, Dierking J, Redman S, Thangavel R. The parahippocampal gyrus in Alzheimer\u2019s disease: clinical and preclinical neuroanatomical correlates. Ann N Y Acad Sci. 2000;911(1):254\u201374. https:\/\/doi.org\/10.1111\/j.1749-6632.2000.tb06731.x.","journal-title":"Ann N Y Acad Sci"},{"issue":"9","key":"260_CR116","doi-asserted-by":"publisher","first-page":"867","DOI":"10.1109\/10.623056","volume":"44","author":"BD Van Veen","year":"1997","unstructured":"Van Veen BD, van Drongelen W, Yuchtman M, Suzuki A, Van Veen BD, Van Drongelen W, et al. Localization of brain electrical activity via linearly constrained minimum variance spatial filtering. IEEE Trans Biomed Eng. 1997;44(9):867\u201380. https:\/\/doi.org\/10.1109\/10.623056.","journal-title":"IEEE Trans Biomed Eng"},{"key":"260_CR117","doi-asserted-by":"publisher","unstructured":"Varatharajah Y, Ramanan VK, Iyer R, Vemuri P, Weiner MW, Aisen P, et al. Predicting short-term MCI-to-AD progression using imaging, CSF, genetic factors, cognitive resilience, and demographics. Sci Rep. 2019;9(1). https:\/\/doi.org\/10.1038\/s41598-019-38793-3.","DOI":"10.1038\/s41598-019-38793-3"},{"key":"260_CR118","volume-title":"The visual object and space perception battery","author":"E Warrington","year":"1991","unstructured":"Warrington, E., & James, M. (1991). The visual object and space perception battery. Thames Valley Test Company."},{"key":"260_CR119","unstructured":"Wechsler, D. (1997). Wechsler Memory Scale-third edition manual."},{"issue":"9","key":"260_CR120","doi-asserted-by":"publisher","first-page":"501","DOI":"10.1038\/s41582-019-0228-7","volume":"15","author":"Y Yamazaki","year":"2019","unstructured":"Yamazaki Y, Zhao N, Caulfield TR, Liu CC, Bu G. Apolipoprotein E and Alzheimer disease: pathobiology and targeting strategies. Nat Rev Neurol. 2019;15(9):501\u201318. Nature Publishing Group. https:\/\/doi.org\/10.1038\/s41582-019-0228-7.","journal-title":"Nat Rev Neurol"},{"issue":"1","key":"260_CR121","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/0022-3956(82)90033-4","volume":"17","author":"JA Yesavage","year":"1982","unstructured":"Yesavage JA, Brink TL, Rose TL, Lum O, Huang V, Adey M, et al. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res. 1982;17(1):37\u201349 http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/7183759.","journal-title":"J Psychiatr Res"},{"key":"260_CR122","doi-asserted-by":"publisher","unstructured":"Zhang D, Shen D. Predicting future clinical changes of MCI patients using longitudinal and multimodal biomarkers. PLoS One. 2012;7(3). https:\/\/doi.org\/10.1371\/journal.pone.0033182.","DOI":"10.1371\/journal.pone.0033182"},{"issue":"2","key":"260_CR123","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1515\/revneuro-2015-0019","volume":"27","author":"M Zhou","year":"2016","unstructured":"Zhou M, Zhang F, Zhao L, Qian J, Dong C. Entorhinal cortex: a good biomarker of mild cognitive impairment and mild Alzheimer\u2019s disease. Rev Neurosci. 2016;27(2):185\u201395. https:\/\/doi.org\/10.1515\/revneuro-2015-0019.","journal-title":"Rev Neurosci"}],"container-title":["GeroScience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11357-020-00260-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11357-020-00260-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11357-020-00260-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,9,4]],"date-time":"2021-09-04T02:32:55Z","timestamp":1630722775000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11357-020-00260-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,4]]},"references-count":123,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["260"],"URL":"https:\/\/doi.org\/10.1007\/s11357-020-00260-7","relation":{},"ISSN":["2509-2715","2509-2723"],"issn-type":[{"value":"2509-2715","type":"print"},{"value":"2509-2723","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,4]]},"assertion":[{"value":"25 May 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 August 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 September 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The Hospital Universitario San Carlos Ethics Committee (Madrid) approved the study, and all participants or their caregivers signed a written informed consent prior to participation.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}