{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T18:13:00Z","timestamp":1789495980638,"version":"build-2803163510"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T00:00:00Z","timestamp":1761782400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T00:00:00Z","timestamp":1761782400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"NIH","award":["R01AG064228"],"award-info":[{"award-number":["R01AG064228"]}]},{"name":"NIH","award":["R01AG060049"],"award-info":[{"award-number":["R01AG060049"]}]},{"name":"NIH","award":["R01AG082073"],"award-info":[{"award-number":["R01AG082073"]}]},{"name":"NIH","award":["P01AG052350"],"award-info":[{"award-number":["P01AG052350"]}]},{"name":"NIH","award":["P30AG066530"],"award-info":[{"award-number":["P30AG066530"]}]},{"DOI":"10.13039\/501100000024","name":"Canadian Institutes of Health Research","doi-asserted-by":"publisher","award":["DFD-170763"],"award-info":[{"award-number":["DFD-170763"]}],"id":[{"id":"10.13039\/501100000024","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006034","name":"University of Southern California","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100006034","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["GeroScience"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Deficits in cerebral blood flow (CBF) and cerebrovascular reactivity (CVR) may indicate vulnerability to vascular dysfunction and cognitive impairment. Prior findings on age-related change in CVR are mixed, and no studies to date have investigated age group differences in spontaneous CVR (sCVR) at rest. The present study compared whole brain and regional sCVR at rest between 24 healthy younger adults (ages 18\u201334) and 163 cognitively unimpaired older adults (ages 55\u201387). Relative to younger adults, older adults had deficits in both whole brain and regional sCVR at rest. Among the regions examined, medial temporal lobe areas showed the largest age differences in sCVR at rest. Age differences in sCVR and CBF variability were larger than age differences in mean CBF. Results show age-related deficits in sCVR are present even in cognitively unimpaired older adults, suggesting sCVR may be indicative of cerebrovascular aging. Further research should investigate sCVR as a means for early detection of age-related vascular dysfunction that may predate irreversible vascular brain injury.<\/jats:p>","DOI":"10.1007\/s11357-025-01935-9","type":"journal-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T10:23:54Z","timestamp":1761819834000},"page":"5547-5560","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Age differences in spontaneous cerebrovascular reactivity at rest"],"prefix":"10.1007","volume":"48","author":[{"given":"Allison C.","family":"Engstrom","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shubir","family":"Dutt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John Paul M.","family":"Alitin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arunima","family":"Kapoor","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Trevor","family":"Lohman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isabel J.","family":"Sible","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anisa J.","family":"Marshall","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fatemah","family":"Shenasa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jillian L.","family":"Joyce","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aim\u00e9e","family":"Gaubert","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Farrah","family":"Ferrer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amy","family":"Nguyen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingfeng","family":"Shao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Danny J. J.","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9123-0658","authenticated-orcid":false,"given":"Daniel A.","family":"Nation","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,10,30]]},"reference":[{"key":"1935_CR1","doi-asserted-by":"publisher","first-page":"934","DOI":"10.1016\/S1474-4422(16)30029-1","volume":"15","author":"Z Arvanitakis","year":"2016","unstructured":"Arvanitakis Z, Capuano AW, Leurgans SE, et al. Relation of cerebral vessel disease to Alzheimer\u2019s disease dementia and cognitive function in elderly people: a cross-sectional study. Lancet Neurol. 2016;15:934\u201343. https:\/\/doi.org\/10.1016\/S1474-4422(16)30029-1.","journal-title":"Lancet Neurol"},{"key":"1935_CR2","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1177\/19714009211002778","volume":"34","author":"N Mokhber","year":"2021","unstructured":"Mokhber N, Shariatzadeh A, Avan A, et al. Cerebral blood flow changes during aging process and in cognitive disorders: a review. Neuroradiol J. 2021;34:300\u20137.","journal-title":"Neuroradiol J"},{"key":"1935_CR3","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1038\/s41591-018-0297-y","volume":"25","author":"DA Nation","year":"2019","unstructured":"Nation DA, Sweeney MD, Montagne A, et al. Blood\u2013brain barrier breakdown is an early biomarker of human cognitive dysfunction. Nat Med. 2019;25:270\u20136. https:\/\/doi.org\/10.1038\/s41591-018-0297-y.","journal-title":"Nat Med"},{"key":"1935_CR4","doi-asserted-by":"publisher","first-page":"E962","DOI":"10.1212\/WNL.0000000000010133","volume":"95","author":"S Sur","year":"2020","unstructured":"Sur S, Lin Z, Li Y, et al. Association of cerebrovascular reactivity and Alzheimer pathologic markers with cognitive performance. Neurology. 2020;95:E962-72. https:\/\/doi.org\/10.1212\/WNL.0000000000010133.","journal-title":"Neurology"},{"key":"1935_CR5","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.jalz.2018.07.222","volume":"15","author":"MD Sweeney","year":"2019","unstructured":"Sweeney MD, Montagne A, Sagare AP, et al. Vascular dysfunction\u2014the disregarded partner of Alzheimer\u2019s disease. Alzheimers Dement. 2019;15:158\u201367.","journal-title":"Alzheimers Dement"},{"key":"1935_CR6","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1161\/CIRCULATIONAHA.117.027448","volume":"136","author":"FJ Wolters","year":"2017","unstructured":"Wolters FJ, Zonneveld HI, Hofman A, et al. Cerebral perfusion and the risk of dementia: a population-based study. Circulation. 2017;136:719\u201328. https:\/\/doi.org\/10.1161\/CIRCULATIONAHA.117.027448.","journal-title":"Circulation"},{"key":"1935_CR7","doi-asserted-by":"publisher","first-page":"1714","DOI":"10.1002\/alz.12157","volume":"16","author":"BV Zlokovic","year":"2020","unstructured":"Zlokovic BV, Gottesman RF, Bernstein KE, et al. Vascular contributions to cognitive impairment and dementia (VCID): a report from the 2018 National Heart, Lung, and Blood Institute and National Institute of Neurological Disorders and Stroke Workshop. Alzheimers Dement. 2020;16:1714\u201333.","journal-title":"Alzheimers Dement"},{"key":"1935_CR8","doi-asserted-by":"publisher","DOI":"10.1002\/alz.14396","author":"AC Engstrom","year":"2025","unstructured":"Engstrom AC, Alitin JPM, Kapoor A, et al. Spontaneous cerebrovascular reactivity at rest in older adults with and without mild cognitive impairment and memory deficits. Alzheimers Dement. 2025. https:\/\/doi.org\/10.1002\/alz.14396.","journal-title":"Alzheimers Dement"},{"key":"1935_CR9","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.neuroimage.2018.03.033","volume":"174","author":"SL Peng","year":"2018","unstructured":"Peng SL, Chen X, Li Y, et al. Age-related changes in cerebrovascular reactivity and their relationship to cognition: a four-year longitudinal study. Neuroimage. 2018;174:257\u201362. https:\/\/doi.org\/10.1016\/j.neuroimage.2018.03.033.","journal-title":"Neuroimage"},{"issue":"1","key":"1935_CR10","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000210210","volume":"104","author":"A Kapoor","year":"2025","unstructured":"Kapoor A, Dutt S, Engstrom AC, Alitin JP, Lohman T, Sible IJ, et al. Association of medial temporal lobe cerebrovascular reactivity and memory function in older adults with and without cognitive impairment. Neurology. 2025;104(1):e210210. https:\/\/doi.org\/10.1212\/WNL.0000000000210210.","journal-title":"Neurology"},{"key":"1935_CR11","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1016\/j.neuroimage.2017.10.015","volume":"187","author":"MR Juttukonda","year":"2019","unstructured":"Juttukonda MR, Donahue MJ. Neuroimaging of vascular reserve in patients with cerebrovascular diseases. Neuroimage. 2019;187:192\u2013208.","journal-title":"Neuroimage"},{"key":"1935_CR12","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.neuroimage.2018.03.047","volume":"187","author":"P Liu","year":"2019","unstructured":"Liu P, De Vis JB, Lu H. Cerebrovascular reactivity (CVR) MRI with CO2 challenge: a technical review. Neuroimage. 2019;187:104\u201315. https:\/\/doi.org\/10.1016\/j.neuroimage.2018.03.047.","journal-title":"Neuroimage"},{"key":"1935_CR13","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00433","author":"JR Whittaker","year":"2019","unstructured":"Whittaker JR, Driver ID, Venzi M, et al. Cerebral autoregulation evidenced by synchronized low frequency oscillations in blood pressure and resting-state fMRI. Front Neurosci. 2019. https:\/\/doi.org\/10.3389\/fnins.2019.00433.","journal-title":"Front Neurosci"},{"key":"1935_CR14","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1016\/j.neuroimage.2013.07.007","volume":"83","author":"MG Bright","year":"2013","unstructured":"Bright MG, Murphy K. Reliable quantification of BOLD fMRI cerebrovascular reactivity despite poor breath-hold performance. Neuroimage. 2013;83:559\u201368. https:\/\/doi.org\/10.1016\/j.neuroimage.2013.07.007.","journal-title":"Neuroimage"},{"key":"1935_CR15","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1148\/RADIOL.2021203568","volume":"299","author":"P Liu","year":"2021","unstructured":"Liu P, Liu G, Pinho MC, et al. Cerebrovascular reactivity mapping using resting-state bold functional MRI in healthy adults and patients with moyamoya disease. Radiology. 2021;299:419\u201325. https:\/\/doi.org\/10.1148\/RADIOL.2021203568.","journal-title":"Radiology"},{"key":"1935_CR16","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1016\/j.neuroimage.2018.10.084","volume":"186","author":"PC Prokopiou","year":"2019","unstructured":"Prokopiou PC, Pattinson KTS, Wise RG, Mitsis GD. Modeling of dynamic cerebrovascular reactivity to spontaneous and externally induced CO2 fluctuations in the human brain using BOLD-fMRI. Neuroimage. 2019;186:533\u201348. https:\/\/doi.org\/10.1016\/j.neuroimage.2018.10.084.","journal-title":"Neuroimage"},{"key":"1935_CR17","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2020.608475","author":"J Pinto","year":"2021","unstructured":"Pinto J, Bright MG, Bulte DP, Figueiredo P. Cerebrovascular reactivity mapping without gas challenges: a methodological guide. Front Physiol. 2021. https:\/\/doi.org\/10.3389\/fphys.2020.608475.","journal-title":"Front Physiol"},{"key":"1935_CR18","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1002\/nbm.1392","volume":"22","author":"US Yezhuvath","year":"2009","unstructured":"Yezhuvath US, Lewis-Amezcua K, Varghese R, et al. On the assessment of cerebrovascular reactivity using hypercapnia BOLD MRI. NMR Biomed. 2009;22:779\u201386. https:\/\/doi.org\/10.1002\/nbm.1392.","journal-title":"NMR Biomed"},{"key":"1935_CR19","doi-asserted-by":"publisher","first-page":"1190","DOI":"10.1038\/jcbfm.2013.66","volume":"33","author":"YS Zhu","year":"2013","unstructured":"Zhu YS, Tarumi T, Tseng BY, et al. Cerebral vasomotor reactivity during hypo-and hypercapnia in sedentary elderly and Masters athletes. J Cereb Blood Flow Metab. 2013;33:1190\u20136. https:\/\/doi.org\/10.1038\/jcbfm.2013.66.","journal-title":"J Cereb Blood Flow Metab"},{"key":"1935_CR20","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.neuroimage.2018.07.007","volume":"181","author":"L McKetton","year":"2018","unstructured":"McKetton L, Sobczyk O, Duffin J, et al. The aging brain and cerebrovascular reactivity. Neuroimage. 2018;181:132\u201341. https:\/\/doi.org\/10.1016\/j.neuroimage.2018.07.007.","journal-title":"Neuroimage"},{"key":"1935_CR21","doi-asserted-by":"publisher","DOI":"10.3389\/fnagi.2019.00281","author":"KB Miller","year":"2019","unstructured":"Miller KB, Howery AJ, Rivera-Rivera LA, et al. Age-related reductions in cerebrovascular reactivity using 4D flow MRI. Front Aging Neurosci. 2019. https:\/\/doi.org\/10.3389\/fnagi.2019.00281.","journal-title":"Front Aging Neurosci"},{"key":"1935_CR22","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0217082","author":"KB Stefanidis","year":"2019","unstructured":"Stefanidis KB, Askew CD, Klein T, et al. Healthy aging affects cerebrovascular reactivity and pressure-flow responses, but not neurovascular coupling: a cross-sectional study. PLoS ONE. 2019. https:\/\/doi.org\/10.1371\/journal.pone.0217082.","journal-title":"PLoS ONE"},{"key":"1935_CR23","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.neurobiolaging.2022.02.006","volume":"113","author":"B Yew","year":"2022","unstructured":"Yew B, Jang JY, Dutt S, et al. Cerebrovascular reactivity deficits in cognitively unimpaired older adults: vasodilatory versus vasoconstrictive responses. Neurobiol Aging. 2022;113:55\u201362. https:\/\/doi.org\/10.1016\/j.neurobiolaging.2022.02.006.","journal-title":"Neurobiol Aging"},{"key":"1935_CR24","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-09752-7","author":"DD Garrett","year":"2017","unstructured":"Garrett DD, Lindenberger U, Hoge RD, Gauthier CJ. Age differences in brain signal variability are robust to multiple vascular controls. Sci Rep. 2017. https:\/\/doi.org\/10.1038\/s41598-017-09752-7.","journal-title":"Sci Rep"},{"key":"1935_CR25","doi-asserted-by":"publisher","first-page":"H782","DOI":"10.1152\/ajpheart.00300.2022","volume":"323","author":"JL Koep","year":"2022","unstructured":"Koep JL, Bond B, Barker AR, et al. The relationships between age, sex, and cerebrovascular reactivity to hypercapnia using traditional and kinetic-based analyses in healthy adults. Am J Physiol Heart Circ Physiol. 2022;323:H782\u201396. https:\/\/doi.org\/10.1152\/ajpheart.00300.2022.","journal-title":"Am J Physiol Heart Circ Physiol"},{"key":"1935_CR26","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1177\/0271678X19828327","volume":"40","author":"T Tomoto","year":"2020","unstructured":"Tomoto T, Riley J, Turner M, et al. Cerebral vasomotor reactivity during hypo- and hypercapnia across the adult lifespan. J Cereb Blood Flow Metab. 2020;40:600\u201310. https:\/\/doi.org\/10.1177\/0271678X19828327.","journal-title":"J Cereb Blood Flow Metab"},{"key":"1935_CR27","doi-asserted-by":"publisher","first-page":"275","DOI":"10.3233\/JAD-140276","volume":"42","author":"MW Bondi","year":"2014","unstructured":"Bondi MW, Edmonds EC, Jak AJ, et al. Neuropsychological criteria for mild cognitive impairment improves diagnostic precision, biomarker associations, and progression rates. J Alzheimers Dis. 2014;42:275\u201389. https:\/\/doi.org\/10.3233\/JAD-140276.","journal-title":"J Alzheimers Dis"},{"key":"1935_CR28","doi-asserted-by":"publisher","first-page":"1409","DOI":"10.1016\/j.mri.2012.05.004","volume":"30","author":"Z Wang","year":"2012","unstructured":"Wang Z. Improving cerebral blood flow quantification for arterial spin labeled perfusion MRI by removing residual motion artifacts and global signal fluctuations. Magn Reson Imaging. 2012;30:1409\u201315. https:\/\/doi.org\/10.1016\/j.mri.2012.05.004.","journal-title":"Magn Reson Imaging"},{"key":"1935_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2007.07.003","author":"Z Wang","year":"2008","unstructured":"Wang Z, Aguirre GK, Rao H, et al. Empirical optimization of ASL data analysis using an ASL data processing toolbox: ASLtbx. Magn Reson Imaging. 2008. https:\/\/doi.org\/10.1016\/j.mri.2007.07.003.","journal-title":"Magn Reson Imaging"},{"key":"1935_CR30","doi-asserted-by":"publisher","first-page":"689","DOI":"10.3233\/JAD-130086","volume":"36","author":"DA Nation","year":"2013","unstructured":"Nation DA, Wierenga CE, Clark LR, et al. Cortical and subcortical cerebrovascular resistance index in mild cognitive impairment and Alzheimer\u2019s disease. J Alzheimers Dis. 2013;36:689\u201398. https:\/\/doi.org\/10.3233\/JAD-130086.","journal-title":"J Alzheimers Dis"},{"key":"1935_CR31","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1177\/0271678X19897443","volume":"41","author":"AL Clark","year":"2021","unstructured":"Clark AL, Weigand AJ, Bangen KJ, et al. Repetitive mTBI is associated with age-related reductions in cerebral blood flow but not cortical thickness. J Cereb Blood Flow Metab. 2021;41:431\u201344. https:\/\/doi.org\/10.1177\/0271678X19897443.","journal-title":"J Cereb Blood Flow Metab"},{"key":"1935_CR32","doi-asserted-by":"publisher","first-page":"725","DOI":"10.1007\/s10334-018-0691-y","volume":"31","author":"J Petr","year":"2018","unstructured":"Petr J, Mutsaerts HJMM, De Vita E, et al. Effects of systematic partial volume errors on the estimation of gray matter cerebral blood flow with arterial spin labeling MRI. Magn Reson Mater Phys Biol Med. 2018;31:725\u201334. https:\/\/doi.org\/10.1007\/s10334-018-0691-y.","journal-title":"Magn Reson Mater Phys Biol Med"},{"key":"1935_CR33","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.neuroimage.2008.08.045","volume":"44","author":"GR Ridgway","year":"2009","unstructured":"Ridgway GR, Omar R, Ourselin S, et al. Issues with threshold masking in voxel-based morphometry of atrophied brains. Neuroimage. 2009;44:99\u2013111. https:\/\/doi.org\/10.1016\/j.neuroimage.2008.08.045.","journal-title":"Neuroimage"},{"key":"1935_CR34","doi-asserted-by":"publisher","first-page":"1275","DOI":"10.1001\/jamaneurol.2014.1668","volume":"71","author":"O Marshall","year":"2014","unstructured":"Marshall O, Lu H, Brisset JC, et al. Impaired cerebrovascular reactivity in multiple sclerosis. JAMA Neurol. 2014;71:1275\u201381. https:\/\/doi.org\/10.1001\/jamaneurol.2014.1668.","journal-title":"JAMA Neurol"},{"key":"1935_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2022.119746","author":"A Kapoor","year":"2022","unstructured":"Kapoor A, Yew B, Jang JY, et al. Older adults with perivascular spaces exhibit cerebrovascular reactivity deficits. Neuroimage. 2022. https:\/\/doi.org\/10.1016\/j.neuroimage.2022.119746.","journal-title":"Neuroimage"},{"key":"1935_CR36","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.neubiorev.2016.11.023","volume":"72","author":"N Zhang","year":"2017","unstructured":"Zhang N, Gordon ML, Goldberg TE. Cerebral blood flow measured by arterial spin labeling MRI at resting state in normal aging and Alzheimer\u2019s disease. Neurosci Biobehav Rev. 2017;72:168\u201375.","journal-title":"Neurosci Biobehav Rev"},{"key":"1935_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.116189","author":"ET Rolls","year":"2020","unstructured":"Rolls ET, Huang CC, Lin CP, et al. Automated anatomical labelling atlas 3. Neuroimage. 2020. https:\/\/doi.org\/10.1016\/j.neuroimage.2019.116189.","journal-title":"Neuroimage"},{"key":"1935_CR38","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.1016\/S1053-8119(03)00169-1","volume":"19","author":"JA Maldjian","year":"2003","unstructured":"Maldjian JA, Laurienti PJ, Kraft RA, Burdette JH. An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. Neuroimage. 2003;19:1233\u20139. https:\/\/doi.org\/10.1016\/S1053-8119(03)00169-1.","journal-title":"Neuroimage"},{"key":"1935_CR39","doi-asserted-by":"publisher","first-page":"595","DOI":"10.3233\/JAD-2012-111697","volume":"30","author":"DA Nation","year":"2012","unstructured":"Nation DA, Delano-Wood L, Bangen KJ, et al. Antemortem pulse pressure elevation predicts cerebrovascular disease in autopsy-confirmed Alzheimer\u2019s disease. J Alzheimers Dis. 2012;30:595\u2013603. https:\/\/doi.org\/10.3233\/JAD-2012-111697.","journal-title":"J Alzheimers Dis"},{"key":"1935_CR40","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1016\/j.jalz.2013.12.025","volume":"11","author":"KJ Bangen","year":"2015","unstructured":"Bangen KJ, Nation DA, Delano-Wood L, et al. Aggregate effects of vascular risk factors on cerebrovascular changes in autopsy-confirmed Alzheimer\u2019s disease. Alzheimers Dement. 2015;11:394-403.e1. https:\/\/doi.org\/10.1016\/j.jalz.2013.12.025.","journal-title":"Alzheimers Dement"},{"key":"1935_CR41","doi-asserted-by":"publisher","DOI":"10.1186\/s13059-019-1716-1","author":"K Korthauer","year":"2019","unstructured":"Korthauer K, Kimes PK, Duvallet C, et al. A practical guide to methods controlling false discoveries in computational biology. Genome Biol. 2019. https:\/\/doi.org\/10.1186\/s13059-019-1716-1.","journal-title":"Genome Biol"},{"key":"1935_CR42","unstructured":"Cohen J (1988) Statistical power analysis for the behavioral sciences, 2nd ed. Lawrence Erlbaum Associates"},{"key":"1935_CR43","doi-asserted-by":"publisher","DOI":"10.1186\/s40478-024-01737-8","author":"Y Hase","year":"2024","unstructured":"Hase Y, Jobson D, Cheong J, et al. Hippocampal capillary pericytes in post-stroke and vascular dementias and Alzheimer\u2019s disease and experimental chronic cerebral hypoperfusion. Acta Neuropathol Commun. 2024. https:\/\/doi.org\/10.1186\/s40478-024-01737-8.","journal-title":"Acta Neuropathol Commun"},{"issue":"7","key":"1935_CR44","doi-asserted-by":"publisher","first-page":"819","DOI":"10.1016\/S0149-7634(02)00068-4","volume":"26","author":"F Dolcos","year":"2002","unstructured":"Dolcos F, Rice HJ, Cabeza R. Hemispheric asymmetry and aging: right hemisphere decline or asymmetry reduction. Neurosci Biobehav Rev. 2002;26(7):819\u201325.","journal-title":"Neurosci Biobehav Rev"},{"key":"1935_CR45","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-62281-y","author":"HG M\u0131zrak","year":"2024","unstructured":"M\u0131zrak HG, Dikmen M, Hano\u011flu L, \u015eakul BU. Investigation of hemispheric asymmetry in Alzheimer\u2019s disease patients during resting state revealed BY fnirs. Sci Rep. 2024. https:\/\/doi.org\/10.1038\/s41598-024-62281-y.","journal-title":"Sci Rep"}],"container-title":["GeroScience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11357-025-01935-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11357-025-01935-9","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11357-025-01935-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T15:05:57Z","timestamp":1789398357000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11357-025-01935-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,30]]},"references-count":45,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2026,8]]}},"alternative-id":["1935"],"URL":"https:\/\/doi.org\/10.1007\/s11357-025-01935-9","relation":{},"ISSN":["2509-2723"],"issn-type":[{"value":"2509-2723","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,30]]},"assertion":[{"value":"2 July 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 October 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 October 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The Institutional Review Boards at both University of Southern California and University of California\u2014Irvine approved this study, and all participants gave written informed consent.","order":1,"name":"Ethics","label":"Ethical approval and consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to\u00a0influence the work reported in this paper.","order":2,"name":"Ethics","label":"Competing Interest","group":{"name":"EthicsHeading","label":"Declarations"}}]}}