{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T09:48:17Z","timestamp":1787737697697,"version":"build-2784847793"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100003329","name":"Ministerio de Econom\u00eda y Competitividad","doi-asserted-by":"publisher","award":["PSI2015-68793-C3-1-R"],"award-info":[{"award-number":["PSI2015-68793-C3-1-R"]}],"id":[{"id":"10.13039\/501100003329","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100023561","name":"Ministerio de Universidades","doi-asserted-by":"publisher","award":["PRE2019-087612"],"award-info":[{"award-number":["PRE2019-087612"]}],"id":[{"id":"10.13039\/501100023561","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100023561","name":"Ministerio de Universidades","doi-asserted-by":"publisher","award":["CT18\/22"],"award-info":[{"award-number":["CT18\/22"]}],"id":[{"id":"10.13039\/501100023561","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012818","name":"Comunidad de Madrid","doi-asserted-by":"publisher","award":["CT19\/23-INVM-74"],"award-info":[{"award-number":["CT19\/23-INVM-74"]}],"id":[{"id":"10.13039\/100012818","id-type":"DOI","asserted-by":"publisher"}]},{"name":"European Union-Next Generation"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["GeroScience"],"DOI":"10.1007\/s11357-024-01361-3","type":"journal-article","created":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T19:02:02Z","timestamp":1727809322000},"page":"1747-1759","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Association of a DASH diet and magnetoencephalography in dementia-free adults with different risk levels of Alzheimer\u2019s disease"],"prefix":"10.1007","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9300-3304","authenticated-orcid":false,"given":"Alfredo","family":"Trabado-Fern\u00e1ndez","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1817-6007","authenticated-orcid":false,"given":"Alejandra","family":"Garc\u00eda-Colomo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4169-9925","authenticated-orcid":false,"given":"Esther","family":"Cuadrado-Soto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2023-0298","authenticated-orcid":false,"given":"\u00c1frica","family":"Peral-Su\u00e1rez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6110-7456","authenticated-orcid":false,"given":"Mar\u00eda Dolores","family":"Salas-Gonz\u00e1lez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1368-1971","authenticated-orcid":false,"given":"Ana Mar\u00eda","family":"Lorenzo-Mora","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8500-9802","authenticated-orcid":false,"given":"Ar\u00e1nzazu","family":"Aparicio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8808-4613","authenticated-orcid":false,"given":"Mar\u00eda Luisa","family":"Delgado-Losada","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3195-0071","authenticated-orcid":false,"given":"Fernando","family":"Maest\u00fa-Unturbe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4133-1450","authenticated-orcid":false,"given":"Ana M.","family":"L\u00f3pez-Sobaler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,10,1]]},"reference":[{"key":"1361_CR1","doi-asserted-by":"publisher","unstructured":"2023 Alzheimer\u2019s disease facts and figures. Alzheimer\u2019s Dement. 2023;19:1598\u2013695. https:\/\/doi.org\/10.1002\/alz.13016.","DOI":"10.1002\/alz.13016"},{"key":"1361_CR2","doi-asserted-by":"publisher","first-page":"101372","DOI":"10.1016\/j.arr.2021.101372","volume":"69","author":"F Maest\u00fa","year":"2021","unstructured":"Maest\u00fa F, de Haan W, Busche MA, DeFelipe J. Neuronal excitation\/inhibition imbalance: core element of a translational perspective on Alzheimer pathophysiology. Ageing Res Rev. 2021;69:101372. https:\/\/doi.org\/10.1016\/j.arr.2021.101372.","journal-title":"Ageing Res Rev"},{"issue":"6","key":"1361_CR3","doi-asserted-by":"publisher","first-page":"1287","DOI":"10.1016\/j.clinph.2020.03.003","volume":"131","author":"PM Rossini","year":"2020","unstructured":"Rossini PM, Di Iorio R, Vecchio F, et al. Early diagnosis of Alzheimer\u2019s disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts. Clin Neurophysiol. 2020;131(6):1287\u2013310. https:\/\/doi.org\/10.1016\/j.clinph.2020.03.003.","journal-title":"Clin Neurophysiol"},{"issue":"2","key":"1361_CR4","doi-asserted-by":"publisher","first-page":"161","DOI":"10.3109\/00207454.2016.1155572","volume":"127","author":"M Yusufov","year":"2017","unstructured":"Yusufov M, Weyandt LL, Piryatinsky I. Alzheimer\u2019s disease and diet: a systematic review. Int J Neurosci. 2017;127(2):161\u201375. https:\/\/doi.org\/10.3109\/00207454.2016.1155572.","journal-title":"Int J Neurosci"},{"issue":"16","key":"1361_CR5","doi-asserted-by":"publisher","first-page":"1117","DOI":"10.1056\/NEJM199704173361601","volume":"336","author":"LJ Appel","year":"1997","unstructured":"Appel LJ, Moore TJ, Obarzanek E, et al. A clinical trial of the effects of dietary patterns on blood pressure. DASH Collaborative Research Group. N Engl J Med. 1997;336(16):1117\u201324. https:\/\/doi.org\/10.1056\/NEJM199704173361601.","journal-title":"N Engl J Med"},{"issue":"1","key":"1361_CR6","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1001\/archneurol.2009.913","volume":"67","author":"M Thambisetty","year":"2010","unstructured":"Thambisetty M, Beason-Held L, An Y, Kraut MA, Resnick SM. APOE epsilon4 genotype and longitudinal changes in cerebral blood flow in normal aging. Arch Neurol. 2010;67(1):93\u20138. https:\/\/doi.org\/10.1001\/archneurol.2009.913.","journal-title":"Arch Neurol"},{"issue":"8","key":"1361_CR7","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1016\/j.jash.2014.04.002","volume":"8","author":"ML Alosco","year":"2014","unstructured":"Alosco ML, Gunstad J, Xu X, et al. The impact of hypertension on cerebral perfusion and cortical thickness in older adults. J Am Soc Hypertens. 2014;8(8):561\u201370. https:\/\/doi.org\/10.1016\/j.jash.2014.04.002.","journal-title":"J Am Soc Hypertens"},{"issue":"9","key":"1361_CR8","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1016\/j.jalz.2014.11.009","volume":"11","author":"MC Morris","year":"2015","unstructured":"Morris MC, Tangney CC, Wang Y, Sacks FM, Bennett DA, Aggarwal NT. MIND diet associated with reduced incidence of Alzheimer\u2019s disease. Alzheimers Dement. 2015;11(9):1007\u201314. https:\/\/doi.org\/10.1016\/j.jalz.2014.11.009.","journal-title":"Alzheimers Dement"},{"issue":"16","key":"1361_CR9","doi-asserted-by":"publisher","first-page":"1410","DOI":"10.1212\/WNL.0000000000000884","volume":"83","author":"CC Tangney","year":"2014","unstructured":"Tangney CC, Li H, Wang Y, et al. Relation of DASH-and Mediterranean-like dietary patterns to cognitive decline in older persons. Neurology. 2014;83(16):1410\u20136. https:\/\/doi.org\/10.1212\/WNL.0000000000000884.","journal-title":"Neurology"},{"issue":"6","key":"1361_CR10","doi-asserted-by":"publisher","first-page":"1040","DOI":"10.1093\/advances\/nmz054","volume":"10","author":"AC Van den Brink","year":"2019","unstructured":"Van den Brink AC, Brouwer-Brolsma EM, Berendsen AA, van de Rest O. The Mediterranean, Dietary Approaches to Stop Hypertension (DASH), and Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diets are associated with less cognitive decline and a lower risk of Alzheimer\u2019s disease\u2014a review. Adv Nutr. 2019;10(6):1040\u201365. https:\/\/doi.org\/10.1093\/advances\/nmz054.","journal-title":"Adv Nutr"},{"key":"1361_CR11","doi-asserted-by":"publisher","first-page":"1213223","DOI":"10.3389\/fnut.2023.1213223","volume":"10","author":"S Arora","year":"2023","unstructured":"Arora S, Santiago JA, Bernstein M, Potashkin JA. Diet and lifestyle impact the development and progression of Alzheimer\u2019s dementia. Front Nutr. 2023;10:1213223. https:\/\/doi.org\/10.3389\/fnut.2023.1213223.","journal-title":"Front Nutr"},{"issue":"1700","key":"1361_CR12","doi-asserted-by":"publisher","first-page":"20150429","DOI":"10.1098\/rstb.2015.0429","volume":"371","author":"MA Busche","year":"2016","unstructured":"Busche MA, Konnerth A. Impairments of neural circuit function in Alzheimer\u2019s disease. Phil Trans R Soc B: Biol Sci. 2016;371(1700):20150429. https:\/\/doi.org\/10.1098\/rstb.2015.0429.","journal-title":"Phil Trans R Soc B: Biol Sci"},{"key":"1361_CR13","doi-asserted-by":"publisher","unstructured":"Lizio R, Vecchio F, Frisoni GB, Ferri R, Rodriguez G, Babiloni C. Electroencephalographic rhythms in Alzheimer\u2019s disease. Int J Alzheimer\u2019s Dis. 2011;(11). https:\/\/doi.org\/10.4061\/2011\/927573.","DOI":"10.4061\/2011\/927573"},{"issue":"9","key":"1361_CR14","doi-asserted-by":"publisher","first-page":"1528","DOI":"10.1002\/alz.12311","volume":"17","author":"C Babiloni","year":"2021","unstructured":"Babiloni C, Arakaki X, Azami H, et al. Measures of resting state EEG rhythms for clinical trials in Alzheimer\u2019s disease: recommendations of an expert panel. Alzheimers Dement. 2021;17(9):1528\u201353. https:\/\/doi.org\/10.1002\/alz.12311.","journal-title":"Alzheimers Dement"},{"issue":"9","key":"1361_CR15","doi-asserted-by":"publisher","first-page":"1981","DOI":"10.1016\/j.clinph.2018.06.026","volume":"129","author":"J de Frutos-Lucas","year":"2018","unstructured":"de Frutos-Lucas J, L\u00f3pez-Sanz D, Zuluaga P, et al. Physical activity effects on the individual alpha peak frequency of older adults with and without genetic risk factors for Alzheimer\u2019s disease: a MEG study. Clin Neurophysiol. 2018;129(9):1981\u20139. https:\/\/doi.org\/10.1016\/j.clinph.2018.06.026.","journal-title":"Clin Neurophysiol"},{"key":"1361_CR16","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/j.neurobiolaging.2017.05.017","volume":"57","author":"AA Gouw","year":"2017","unstructured":"Gouw AA, Alsema AM, Tijms BM, et al. EEG spectral analysis as a putative early prognostic biomarker in nondemented, amyloid positive subjects. Neurobiol Aging. 2017;57:133\u201342. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2017.05.017.","journal-title":"Neurobiol Aging"},{"key":"1361_CR17","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, 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":"1361_CR18","doi-asserted-by":"publisher","first-page":"1095","DOI":"10.1007\/s11357-014-9624-5","volume":"36","author":"ME L\u00f3pez","year":"2014","unstructured":"L\u00f3pez ME, Cuesta P, Garc\u00e9s P, et al. MEG spectral analysis in subtypes of mild cognitive impairment. Age. 2014;36:1095\u2013112. https:\/\/doi.org\/10.1007\/s11357-014-9624-5.","journal-title":"Age"},{"issue":"2","key":"1361_CR19","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1016\/s1388-2457(03)00345-6","volume":"115","author":"DV Moretti","year":"2004","unstructured":"Moretti DV, Babiloni C, Binetti G, et al. Individual analysis of EEG frequency and band power in mild Alzheimer\u2019s disease. Clin Neurophysiol. 2004;115(2):299\u2013308. https:\/\/doi.org\/10.1016\/s1388-2457(03)00345-6.","journal-title":"Clin Neurophysiol"},{"issue":"1","key":"1361_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1196\/annals.1440.011","volume":"1124","author":"RL Buckner","year":"2008","unstructured":"Buckner RL, Andrews-Hanna JR, Schacter DL. The brain\u2019s default network: anatomy, function, and relevance to disease. Ann N Y Acad Sci. 2008;1124(1):1\u201338. https:\/\/doi.org\/10.1196\/annals.1440.011.","journal-title":"Ann N Y Acad Sci"},{"issue":"2","key":"1361_CR21","doi-asserted-by":"publisher","first-page":"676","DOI":"10.1073\/pnas.98.2.676","volume":"98","author":"ME Raichle","year":"2001","unstructured":"Raichle ME, MacLeod AM, Snyder AZ, Powers WJ, Gusnard DA, Shulman GL. A default mode of brain function. Proc Natl Acad Sci. 2001;98(2):676\u201382. https:\/\/doi.org\/10.1073\/pnas.98.2.676.","journal-title":"Proc Natl Acad Sci"},{"key":"1361_CR22","doi-asserted-by":"publisher","first-page":"584","DOI":"10.1016\/j.biopsych.2009.08.024","volume":"67","author":"YI Sheline","year":"2010","unstructured":"Sheline YI, Raichle ME, Snyder AZ, et al. Amyloid plaques disrupt resting state default mode network connectivity in cognitively normal elderly. Biol Psychiat. 2010;67:584\u20137. https:\/\/doi.org\/10.1016\/j.biopsych.2009.08.024.","journal-title":"Biol Psychiat"},{"issue":"11","key":"1361_CR23","doi-asserted-by":"publisher","first-page":"1261","DOI":"10.1016\/j.jalz.2017.02.011","volume":"13","author":"J Sepulcre","year":"2017","unstructured":"Sepulcre J, Sabuncu MR, Li Q, El Fakhri G, Sperling R, Johnson KA. Tau and amyloid \u03b2 proteins distinctively associate to functional network changes in the aging brain. Alzheimers Dement. 2017;13(11):1261\u20139. https:\/\/doi.org\/10.1016\/j.jalz.2017.02.011.","journal-title":"Alzheimers Dement"},{"key":"1361_CR24","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;7:486\u20138. https:\/\/doi.org\/10.1002\/ana.410070516.","journal-title":"Ann Neurol"},{"key":"1361_CR25","doi-asserted-by":"publisher","unstructured":"Yesavage JA, Brink TL, Rose TL, et al. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res. 1982\u20131983;17(1):37\u201349. https:\/\/doi.org\/10.1016\/0022-3956(82)90033-4.","DOI":"10.1016\/0022-3956(82)90033-4"},{"issue":"7","key":"1361_CR26","doi-asserted-by":"publisher","first-page":"939","DOI":"10.1212\/wnl.34.7.939","volume":"34","author":"G McKhann","year":"1984","unstructured":"McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer\u2019s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer\u2019s Disease. Neurology. 1984;34(7):939\u2013939. https:\/\/doi.org\/10.1212\/wnl.34.7.939.","journal-title":"Neurology"},{"key":"1361_CR27","unstructured":"Ortega RM, L\u00f3pez-Sobaler AM, Andr\u00e9s P, Requejo AM, Aparicio A. DIAL software for assessing diets and food calculations (for Windows, version 3.0.0.5) Department of Nutrition (UCM) & Alceingenier\u00eda, S.A.; Madrid, Spain: 2013. [Accessed on 2 January 2023]. Available online: https:\/\/www.alceingenieria.net\/infodial.htm."},{"key":"1361_CR28","unstructured":"Ortega RM, L\u00f3pez-Sobaler AM, Andr\u00e9s P, Aparicio A. Food Nutritional Composition. A tool for the design and evaluation of food and diets. Department of Nutrition and Food Science, Complutense University of Madrid; Madrid, Spain: 2021. [(accessed on 2 January 2023)]. Available online: https:\/\/www.ucm.es\/idinutricion\/file\/tca-2021?ver [Google Scholar]."},{"issue":"7","key":"1361_CR29","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1001\/archinte.168.7.713","volume":"168","author":"TT Fung","year":"2008","unstructured":"Fung TT, Chiuve SE, McCullough ML, Rexrode KM, Logroscino G, Hu FB. Adherence to a DASH-style diet and risk of coronary heart disease and stroke in women. Arch Intern Med. 2008;168(7):713\u201320. https:\/\/doi.org\/10.1001\/archinte.168.7.713. (Erratum in: Archives of Internal Medicine 2008 Jun 23;168(12):1276).","journal-title":"Arch Intern Med"},{"issue":"7","key":"1361_CR30","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(7):1759\u201368. https:\/\/doi.org\/10.1088\/0031-9155\/51\/7\/008.","journal-title":"Phys Med Biol"},{"key":"1361_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2011\/156869","volume":"2011","author":"R Oostenveld","year":"2011","unstructured":"Oostenveld R, Fries P, Maris E, Schoffelen JM. FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput Intell Neurosci. 2011;2011:1\u20139. https:\/\/doi.org\/10.1155\/2011\/156869.","journal-title":"Comput Intell Neurosci"},{"issue":"12","key":"1361_CR32","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. 2017;17(12):2926. https:\/\/doi.org\/10.3390\/s17122926.","journal-title":"Sensors"},{"key":"1361_CR33","doi-asserted-by":"publisher","unstructured":"Statistical Parametric Mapping. Elsevier; 2007. https:\/\/doi.org\/10.1016\/B978-0-12-372560-8.X5000-1.","DOI":"10.1016\/B978-0-12-372560-8.X5000-1"},{"issue":"1","key":"1361_CR34","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, Mazoyer B, Joliot M. 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":"9","key":"1361_CR35","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. 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":"1361_CR36","first-page":"20","volume":"35","author":"JV Durnin","year":"1985","unstructured":"Durnin JV, Fidanza F. Evaluation of nutritional status. Bibl Nutr Dieta. 1985;35:20\u201330.","journal-title":"Bibl Nutr Dieta"},{"issue":"3","key":"1361_CR37","doi-asserted-by":"publisher","first-page":"144","DOI":"10.4082\/kjfm.2012.33.3.144","volume":"33","author":"MY Chun","year":"2012","unstructured":"Chun MY. Validity and reliability of Korean version of International Physical Activity Questionnaire short form in the elderly. Korean J Fam Med. 2012;33(3):144\u201351. https:\/\/doi.org\/10.4082\/kjfm.2012.33.3.144.","journal-title":"Korean J Fam Med"},{"issue":"11","key":"1361_CR38","doi-asserted-by":"publisher","first-page":"3974","DOI":"10.3390\/nu13113974","volume":"813","author":"CT Chun","year":"2021","unstructured":"Chun CT, Seward K, Patterson A, Melton A, MacDonald-Wicks L. Evaluation of available cognitive tools used to measure mild cognitive decline: a scoping review. Nutrients. 2021;813(11):3974. https:\/\/doi.org\/10.3390\/nu13113974.","journal-title":"Nutrients"},{"key":"1361_CR39","doi-asserted-by":"publisher","first-page":"25","DOI":"10.3389\/fneur.2015.00025","volume":"6","author":"E Neto","year":"2015","unstructured":"Neto E, Allen EA, Aurlien H, Nordby H, Eichele T. EEG spectral features discriminate between Alzheimer\u2019s and vascular dementia. Front Neurol. 2015;6:25. https:\/\/doi.org\/10.3389\/fneur.2015.00025.","journal-title":"Front Neurol"},{"key":"1361_CR40","doi-asserted-by":"publisher","unstructured":"Buzsaki G. Rhythms of the brain. New York, NY, USA: Oxford University Press; 2006.\u00a0https:\/\/doi.org\/10.1093\/acprof:oso\/9780195301069.001.0001.","DOI":"10.1093\/acprof:oso\/9780195301069.001.0001"},{"issue":"4","key":"1361_CR41","doi-asserted-by":"publisher","first-page":"1015","DOI":"10.3233\/JAD-121750","volume":"34","author":"C Babiloni","year":"2013","unstructured":"Babiloni C, Lizio R, Del Percio C, et al. Cortical sources of resting state EEG rhythms are sensitive to the progression of early stage Alzheimer\u2019s disease. J Alzheimers Dis. 2013;34(4):1015\u201335. https:\/\/doi.org\/10.3233\/JAD-121750.","journal-title":"J Alzheimers Dis"},{"issue":"5","key":"1361_CR42","doi-asserted-by":"publisher","first-page":"1470","DOI":"10.1093\/brain\/awy044","volume":"141","author":"A Nakamura","year":"2018","unstructured":"Nakamura A, Cuesta P, Fern\u00e1ndez A, et al. Electromagnetic signatures of the preclinical and prodromal stages of Alzheimer\u2019s disease. Brain. 2018;141(5):1470\u201385. https:\/\/doi.org\/10.1093\/brain\/awy044.","journal-title":"Brain"},{"issue":"11","key":"1361_CR43","doi-asserted-by":"publisher","first-page":"1319","DOI":"10.1001\/jamaneurol.2019.2214","volume":"76","author":"N Mattsson","year":"2019","unstructured":"Mattsson N, Palmqvist S, Stomrud E, Vogel J, Hansson O. Staging \u03b2-amyloid pathology with amyloid positron emission tomography. JAMA Neurol. 2019;76(11):1319\u201329. https:\/\/doi.org\/10.1001\/jamaneurol.2019.2214.","journal-title":"JAMA Neurol"},{"issue":"3","key":"1361_CR44","doi-asserted-by":"publisher","first-page":"fcab125","DOI":"10.1093\/braincomms\/fcab125","volume":"3","author":"DD Jobson","year":"2021","unstructured":"Jobson DD, Hase Y, Clarkson AN, Kalaria RN. The role of the medial prefrontal cortex in cognition, ageing and dementia. Brain Commun. 2021;3(3):fcab125. https:\/\/doi.org\/10.1093\/braincomms\/fcab125.","journal-title":"Brain Commun"},{"issue":"3","key":"1361_CR45","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1161\/STROKEAHA.122.038263","volume":"54","author":"AC Johnson","year":"2023","unstructured":"Johnson AC. Hippocampal vascular supply and its role in vascular cognitive impairment. Stroke. 2023;54(3):673\u201385. https:\/\/doi.org\/10.1161\/STROKEAHA.122.038263.","journal-title":"Stroke"},{"key":"1361_CR46","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1007\/s10571-015-0261-z","volume":"36","author":"CC Hays","year":"2016","unstructured":"Hays CC, Zlatar ZZ, Wierenga CE. The utility of cerebral blood flow as a biomarker of preclinical Alzheimer\u2019s disease. Cell Mol Neurobiol. 2016;36:167\u201379. https:\/\/doi.org\/10.1007\/s10571-015-0261-z.","journal-title":"Cell Mol Neurobiol"},{"issue":"4","key":"1361_CR47","doi-asserted-by":"publisher","first-page":"1018","DOI":"10.1016\/j.neurobiolaging.2012.09.011","volume":"34","author":"L \u00d8stergaard","year":"2013","unstructured":"\u00d8stergaard L, Aamand R, Guti\u00e9rrez-Jim\u00e9nez E, et al. The capillary dysfunction hypothesis of Alzheimer\u2019s disease. Neurobiol Aging. 2013;34(4):1018\u201331. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2012.09.011.","journal-title":"Neurobiol Aging"},{"issue":"5","key":"1361_CR48","doi-asserted-by":"publisher","first-page":"1550","DOI":"10.1093\/brain\/awu043","volume":"137","author":"N Mattsson","year":"2014","unstructured":"Mattsson N, Tosun D, Insel PS, et al. Association of brain amyloid-\u03b2 with cerebral perfusion and structure in Alzheimer\u2019s disease and mild cognitive impairment. Brain. 2014;137(5):1550\u201361. https:\/\/doi.org\/10.1093\/brain\/awu043.","journal-title":"Brain"},{"issue":"3","key":"1361_CR49","doi-asserted-by":"publisher","first-page":"859","DOI":"10.3233\/JAD-2010-1290","volume":"19","author":"C Babiloni","year":"2010","unstructured":"Babiloni C, Frisoni GB, Vecchio F, et al. Global functional coupling of resting EEG rhythms is related to white-matter lesions along the cholinergic tracts in subjects with amnesic mild cognitive impairment. J Alzheimers Dis. 2010;19(3):859\u201371. https:\/\/doi.org\/10.3233\/JAD-2010-1290.","journal-title":"J Alzheimers Dis"},{"issue":"9","key":"1361_CR50","doi-asserted-by":"publisher","first-page":"1554","DOI":"10.1017\/S0007114524000072","volume":"131","author":"L Arnoldy","year":"2024","unstructured":"Arnoldy L, Gauci S, Lassemillante AM, et al. Towards consistency in dietary pattern scoring: standardising scoring workflows for healthy dietary patterns using 24-h recall and two variations of a food frequency questionnaire. Br J Nutr. 2024;131(9):1554\u201377. https:\/\/doi.org\/10.1017\/S0007114524000072. (Erratum.In:BrJNutr.2024;131(9):1578. 10.1017\/S0007114524000680).","journal-title":"Br J Nutr"},{"issue":"18","key":"1361_CR51","doi-asserted-by":"publisher","first-page":"3958","DOI":"10.3390\/nu15183958","volume":"15","author":"IH Lin","year":"2023","unstructured":"Lin IH, Duong TV, Chen YC, et al. Association of three different dietary approaches to stop hypertension diet indices with renal function in renal transplant recipients. Nutrients. 2023;15(18):3958. https:\/\/doi.org\/10.3390\/nu15183958.","journal-title":"Nutrients"},{"key":"1361_CR52","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1016\/j.nutres.2022.07.008","volume":"106","author":"AJ Lobene","year":"2022","unstructured":"Lobene AJ, Smiljanec K, Axler MR, Ramos-Gonzalez M, Lennon SL. Greater adherence to healthy dietary patterns is associated with lower diastolic blood pressure and augmentation index in healthy, young adults. Nutr Res. 2022;106:60\u201371. https:\/\/doi.org\/10.1016\/j.nutres.2022.07.008.","journal-title":"Nutr Res"},{"issue":"20","key":"1361_CR53","doi-asserted-by":"publisher","first-page":"4232","DOI":"10.3390\/nu14204232","volume":"14","author":"MD Salas-Gonz\u00e1lez","year":"2022","unstructured":"Salas-Gonz\u00e1lez MD, Aparicio A, Loria-Kohen V, Ortega RM, L\u00f3pez-Sobaler AM. Association of Healthy Eating Index-2015 and Dietary Approaches to Stop Hypertension patterns with insulin resistance in schoolchildren. Nutrients. 2022;14(20):4232. https:\/\/doi.org\/10.3390\/nu14204232.","journal-title":"Nutrients"},{"key":"1361_CR54","doi-asserted-by":"publisher","unstructured":"Shim JS, Oh K, Kim HC. Dietary assessment methods in epidemiologic studies. Epidemiol Health. 2014;36. https:\/\/doi.org\/10.4178\/epih\/e2014009.","DOI":"10.4178\/epih\/e2014009"},{"key":"1361_CR55","unstructured":"National Institutes of Health [NIH], National Cancer Institute [NCI]. Dietary Assessment Primer, Instrument Profiles. 2015. Available at: https:\/\/dietassessmentprimer.cancer.gov\/profiles\/. Accessed 2 Sept 2024."}],"container-title":["GeroScience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11357-024-01361-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11357-024-01361-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11357-024-01361-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,12]],"date-time":"2025-04-12T21:02:02Z","timestamp":1744491722000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11357-024-01361-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,1]]},"references-count":55,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2025,4]]}},"alternative-id":["1361"],"URL":"https:\/\/doi.org\/10.1007\/s11357-024-01361-3","relation":{},"ISSN":["2509-2723"],"issn-type":[{"value":"2509-2723","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,1]]},"assertion":[{"value":"15 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 September 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 October 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}