{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T21:56:57Z","timestamp":1787003817922,"version":"build-2736575974"},"reference-count":105,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T00:00:00Z","timestamp":1756252800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T00:00:00Z","timestamp":1756252800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/100000065","name":"U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["K99-NS118120"],"award-info":[{"award-number":["K99-NS118120"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000065","name":"U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke","doi-asserted-by":"publisher","award":["U19-NS123717"],"award-info":[{"award-number":["U19-NS123717"]}],"id":[{"id":"10.13039\/100000065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000025","name":"U.S. Department of Health & Human Services | NIH | National Institute of Mental Health","doi-asserted-by":"publisher","award":["U54-MH091657"],"award-info":[{"award-number":["U54-MH091657"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000025","name":"U.S. Department of Health & Human Services | NIH | National Institute of Mental Health","doi-asserted-by":"publisher","award":["RF1-MH125931"],"award-info":[{"award-number":["RF1-MH125931"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000070","name":"U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","award":["R01-EB035560"],"award-info":[{"award-number":["R01-EB035560"]}],"id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006312","name":"BrightFocus Foundation","doi-asserted-by":"publisher","award":["A2023011S"],"award-info":[{"award-number":["A2023011S"]}],"id":[{"id":"10.13039\/100006312","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"U.S. Department of Health & Human Services | NIH | National Institute on Aging","doi-asserted-by":"publisher","award":["U01-AG052564-S1"],"award-info":[{"award-number":["U01-AG052564-S1"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"U.S. Department of Health & Human Services | NIH | National Institute on Aging","doi-asserted-by":"publisher","award":["F99-AG079810"],"award-info":[{"award-number":["F99-AG079810"]}],"id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Commun Biol"],"DOI":"10.1038\/s42003-025-08703-7","type":"journal-article","created":{"date-parts":[[2025,8,27]],"date-time":"2025-08-27T02:02:09Z","timestamp":1756260129000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Functional MRI signatures of autonomic physiology in aging"],"prefix":"10.1038","volume":"8","author":[{"given":"Jiawen","family":"Fan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meher R.","family":"Juttukonda","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0460-6299","authenticated-orcid":false,"given":"Sarah E.","family":"Goodale","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3518-4231","authenticated-orcid":false,"given":"Shiyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9133-3561","authenticated-orcid":false,"given":"Csaba","family":"Orb\u00e1n","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Divya","family":"Varadarajan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan R.","family":"Polimeni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1541-9579","authenticated-orcid":false,"given":"Catie","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David H.","family":"Salat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3686-2983","authenticated-orcid":false,"given":"Jingyuan E.","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,8,27]]},"reference":[{"key":"8703_CR1","doi-asserted-by":"publisher","first-page":"6537","DOI":"10.1002\/hbm.26533","volume":"44","author":"QN Lee","year":"2023","unstructured":"Lee, Q. N., Chen, J. E., Wheeler, G. J. & Fan, A. P. Characterizing systemic physiological effects on the blood oxygen level dependent signal of resting-state fMRI in time-frequency space using wavelets. Hum. Brain Mapp. 44, 6537\u20136551 (2023).","journal-title":"Hum. Brain Mapp."},{"key":"8703_CR2","doi-asserted-by":"publisher","first-page":"1536","DOI":"10.1016\/j.neuroimage.2006.02.048","volume":"31","author":"RM Birn","year":"2006","unstructured":"Birn, R. M., Diamond, J. B., Smith, M. A. & Bandettini, P. A. Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI. Neuroimage 31, 1536\u20131548 (2006).","journal-title":"Neuroimage"},{"key":"8703_CR3","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1016\/j.neuroimage.2008.09.029","volume":"44","author":"C Chang","year":"2009","unstructured":"Chang, C., Cunningham, J. P. & Glover, G. H. Influence of heart rate on the BOLD signal: The cardiac response function. Neuroimage 44, 857\u2013869 (2009).","journal-title":"Neuroimage"},{"key":"8703_CR4","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/j.neuroimage.2016.09.008","volume":"143","author":"TT Liu","year":"2016","unstructured":"Liu, T. T. Noise contributions to the fMRI signal: an overview. Neuroimage 143, 141\u2013151 (2016).","journal-title":"Neuroimage"},{"key":"8703_CR5","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.neuroimage.2007.07.037","volume":"38","author":"K Shmueli","year":"2007","unstructured":"Shmueli, K. et al. Low-frequency fluctuations in the cardiac rate as a source of variance in the resting-state fMRI BOLD signal. Neuroimage 38, 306\u2013320 (2007).","journal-title":"Neuroimage"},{"key":"8703_CR6","doi-asserted-by":"publisher","first-page":"1652","DOI":"10.1016\/j.neuroimage.2003.11.025","volume":"21","author":"RG Wise","year":"2004","unstructured":"Wise, R. G., Ide, K., Poulin, M. J. & Tracey, I. Resting fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal. Neuroimage 21, 1652\u20131664 (2004).","journal-title":"Neuroimage"},{"key":"8703_CR7","doi-asserted-by":"publisher","first-page":"434073","DOI":"10.3389\/fnins.2019.00433","volume":"13","author":"JR Whittaker","year":"2019","unstructured":"Whittaker, J. R., Driver, I. D., Venzi, M., Bright, M. G. & Murphy, K. Cerebral autoregulation evidenced by synchronized low frequency oscillations in blood pressure and resting-state fMRI. Front. Neurosci. 13, 434073 (2019).","journal-title":"Front. Neurosci."},{"key":"8703_CR8","doi-asserted-by":"publisher","first-page":"437402","DOI":"10.3389\/fnins.2019.00787","volume":"13","author":"Y Tong","year":"2019","unstructured":"Tong, Y., Hocke, L. M. & Frederick, B. B. Low frequency systemic hemodynamic \u201cnoise\u201d in resting state BOLD fMRI: Characteristics, causes, implications, mitigation strategies, and applications. Front. Neurosci. 13, 437402 (2019).","journal-title":"Front. Neurosci."},{"key":"8703_CR9","doi-asserted-by":"publisher","first-page":"116234","DOI":"10.1016\/j.neuroimage.2019.116234","volume":"204","author":"JD Power","year":"2020","unstructured":"Power, J. D. et al. Characteristics of respiratory measures in young adults scanned at rest, including systematic changes and \u201cmissed\u201d deep breaths. Neuroimage 204, 116234 (2020).","journal-title":"Neuroimage"},{"key":"8703_CR10","doi-asserted-by":"crossref","unstructured":"Das A., Murphy K., Drew P. J. Rude mechanicals in brain haemodynamics: non-neural actors that influence blood flow. Philos. Transact. R. Soc. B. 376, 20190635 (2021).","DOI":"10.1098\/rstb.2019.0635"},{"key":"8703_CR11","doi-asserted-by":"publisher","first-page":"116787","DOI":"10.1016\/j.neuroimage.2020.116787","volume":"215","author":"P Liu","year":"2020","unstructured":"Liu, P. et al. Cerebrovascular reactivity mapping using intermittent breath modulation. Neuroimage 215, 116787 (2020).","journal-title":"Neuroimage"},{"key":"8703_CR12","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1016\/j.neuroimage.2016.11.054","volume":"146","author":"P Liu","year":"2017","unstructured":"Liu, P. et al. Cerebrovascular reactivity mapping without gas challenges. Neuroimage 146, 320\u2013326 (2017).","journal-title":"Neuroimage"},{"key":"8703_CR13","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.nicl.2016.06.016","volume":"12","author":"RV Raut","year":"2016","unstructured":"Raut, R. V., Nair, V. A., Sattin, J. A. & Prabhakaran, V. Hypercapnic evaluation of vascular reactivity in healthy aging and acute stroke via functional MRI. Neuroimage Clin. 12, 173\u2013179 (2016).","journal-title":"Neuroimage Clin."},{"key":"8703_CR14","doi-asserted-by":"publisher","first-page":"1177","DOI":"10.1002\/jmri.24090","volume":"38","author":"BP Thomas","year":"2013","unstructured":"Thomas, B. P. et al. Life-long aerobic exercise preserved baseline cerebral blood flow but reduced vascular reactivity to CO2. J. Magn. Reson. Imaging 38, 1177\u20131183 (2013).","journal-title":"J. Magn. Reson. Imaging"},{"key":"8703_CR15","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1002\/nbm.1392","volume":"22","author":"US Yezhuvath","year":"2009","unstructured":"Yezhuvath, U. S., Lewis-Amezcua, K., Varghese, R., Xiao, G. & Lu, H. On the assessment of cerebrovascular reactivity using hypercapnia BOLD MRI. NMR Biomed. 22, 779\u2013786 (2009).","journal-title":"NMR Biomed."},{"key":"8703_CR16","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1148\/radiol.2021203568","volume":"299","author":"P Liu","year":"2021","unstructured":"Liu, P. et al. Cerebrovascular reactivity mapping using resting-state BOLD functional MRI in healthy adults and patients with moyamoya disease. Radiology 299, 419\u2013425 (2021).","journal-title":"Radiology"},{"key":"8703_CR17","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.neuroimage.2016.05.025","volume":"138","author":"AM Golestani","year":"2016","unstructured":"Golestani, A. M., Wei, L. L. & Chen, J. J. Quantitative mapping of cerebrovascular reactivity using resting-state BOLD fMRI: validation in healthy adults. Neuroimage 138, 147\u2013163 (2016).","journal-title":"Neuroimage"},{"key":"8703_CR18","doi-asserted-by":"publisher","first-page":"120038","DOI":"10.1016\/j.neuroimage.2023.120038","volume":"272","author":"KM Zvolanek","year":"2023","unstructured":"Zvolanek, K. M. et al. Comparing end-tidal CO2, respiration volume per time (RVT), and average gray matter signal for mapping cerebrovascular reactivity amplitude and delay with breath-hold task BOLD fMRI. Neuroimage 272, 120038 (2023).","journal-title":"Neuroimage"},{"key":"8703_CR19","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1113\/jphysiol.2007.137075","volume":"584","author":"K Peebles","year":"2007","unstructured":"Peebles, K. et al. Human cerebrovascular and ventilatory CO2 reactivity to end-tidal, arterial and internal jugular vein PCO2. J. Physiol. 584, 347\u2013357 (2007).","journal-title":"J. Physiol."},{"key":"8703_CR20","first-page":"288","volume":"55","author":"D Mcswain","year":"2010","unstructured":"Mcswain, D. et al. End-tidal and arterial carbon dioxide measurements correlate across all levels of physiologic dead space. Respir. Care. 55, 288\u2013293 (2010).","journal-title":"Respir. Care."},{"key":"8703_CR21","doi-asserted-by":"publisher","first-page":"1381","DOI":"10.1016\/j.neuroimage.2009.04.048","volume":"47","author":"C Chang","year":"2009","unstructured":"Chang, C. & Glover, G. H. Relationship between respiration, end-tidal CO2, and BOLD signals in resting-state fMRI. Neuroimage 47, 1381\u20131393 (2009).","journal-title":"Neuroimage"},{"key":"8703_CR22","doi-asserted-by":"publisher","first-page":"1767","DOI":"10.1177\/0271678X15608643","volume":"36","author":"MJ Donahue","year":"2015","unstructured":"Donahue, M. J. et al. Time delay processing of hypercapnic fMRI allows quantitative parameterization of cerebrovascular reactivity and blood flow delays. J. Cereb. Blood Flow. Metab. 36, 1767 (2015).","journal-title":"J. Cereb. Blood Flow. Metab."},{"key":"8703_CR23","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1016\/0197-4580(90)90001-G","volume":"11","author":"MA Bell","year":"1990","unstructured":"Bell, M. A. & Ball, M. J. Neuritic plaques and vessels of visual cortex in aging and Alzheimer\u2019s dementia. Neurobiol. Aging 11, 359\u2013370 (1990).","journal-title":"Neurobiol. Aging"},{"key":"8703_CR24","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.neurobiolaging.2008.03.022","volume":"31","author":"E Bullitt","year":"2010","unstructured":"Bullitt, E. et al. The effects of healthy aging on intracerebral blood vessels visualized by magnetic resonance angiography. Neurobiol. Aging 31, 290\u2013300 (2010).","journal-title":"Neurobiol. Aging"},{"key":"8703_CR25","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1097\/nen.0b013e3180537147","volume":"66","author":"CR Thore","year":"2007","unstructured":"Thore, C. R. et al. Morphometric analysis of arteriolar tortuosity in human cerebral white matter of preterm, young, and aged subjects. J. Neuropathol. Exp. Neurol. 66, 337\u2013345 (2007).","journal-title":"J. Neuropathol. Exp. Neurol."},{"key":"8703_CR26","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1006\/exnr.1993.1095","volume":"121","author":"WB Abernethy","year":"1993","unstructured":"Abernethy, W. B., Bell, M. A., Morris, M. & Moody, D. M. Microvascular density of the human paraventricular nucleus decreases with aging but not hypertension. Exp. Neurol. 121, 270\u2013274 (1993).","journal-title":"Exp. Neurol."},{"key":"8703_CR27","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1007\/BF00690372","volume":"53","author":"MA Bell","year":"1981","unstructured":"Bell, M. A. & Ball, M. J. Morphometric comparison of hippocampal microvasculature in ageing and demented people: diameters and densities. Acta Neuropathol. 53, 299\u2013318 (1981).","journal-title":"Acta Neuropathol."},{"key":"8703_CR28","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.jns.2007.01.015","volume":"257","author":"WR Brown","year":"2007","unstructured":"Brown, W. R., Moody, D. M., Thore, C. R., Challa, V. R. & Anstrom, J. A. Vascular dementia in leukoaraiosis may be a consequence of capillary loss not only in the lesions, but in normal-appearing white matter and cortex as well. J. Neurol. Sci. 257, 62\u201366 (2007).","journal-title":"J. Neurol. Sci."},{"key":"8703_CR29","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1007\/BF00294173","volume":"87","author":"L Bu\u00e9e","year":"1994","unstructured":"Bu\u00e9e, L. et al. Pathological alterations of the cerebral microvasculature in Alzheimer\u2019s disease and related dementing disorders. Acta Neuropathol. 87, 469\u2013480 (1994).","journal-title":"Acta Neuropathol."},{"key":"8703_CR30","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/0197-4580(86)90158-2","volume":"7","author":"DMA Mann","year":"1986","unstructured":"Mann, D. M. A., Eaves, N. R., Marcyniuk, B. & Yates, P. O. Quantitative changes in cerebral cortical microvasculature in ageing and dementia. Neurobiol. Aging 7, 321\u2013330 (1986).","journal-title":"Neurobiol. Aging"},{"key":"8703_CR31","doi-asserted-by":"publisher","first-page":"H1214","DOI":"10.1152\/ajpheart.00637.2017","volume":"314","author":"N Thorin-Trescases","year":"2018","unstructured":"Thorin-Trescases, N. et al. Impact of pulse pressure on cerebrovascular events leading to age-related cognitive decline. Am. J. Physiol. Heart Circ. Physiol. 314, H1214\u2013H1224 (2018).","journal-title":"Am. J. Physiol. Heart Circ. Physiol."},{"key":"8703_CR32","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41467-024-50559-8","volume":"15","author":"HC Bennett","year":"2024","unstructured":"Bennett, H. C. et al. Aging drives cerebrovascular network remodeling and functional changes in the mouse brain. Nat. Commun. 15, 1\u201320 (2024). 2024 15:1.","journal-title":"Nat. Commun."},{"key":"8703_CR33","doi-asserted-by":"publisher","first-page":"117807","DOI":"10.1016\/j.neuroimage.2021.117807","volume":"230","author":"MR Juttukonda","year":"2021","unstructured":"Juttukonda, M. R. et al. Characterizing cerebral hemodynamics across the adult lifespan with arterial spin labeling MRI data from the Human Connectome Project-Aging. Neuroimage 230, 117807 (2021).","journal-title":"Neuroimage"},{"key":"8703_CR34","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.neuroimage.2016.06.010","volume":"139","author":"AA Bhogal","year":"2016","unstructured":"Bhogal, A. A. et al. The BOLD cerebrovascular reactivity response to progressive hypercapnia in young and elderly. Neuroimage 139, 94\u2013102 (2016).","journal-title":"Neuroimage"},{"key":"8703_CR35","doi-asserted-by":"publisher","first-page":"3973","DOI":"10.1002\/hbm.22891","volume":"36","author":"JB De Vis","year":"2015","unstructured":"De Vis, J. B. et al. Age-related changes in brain hemodynamics; a calibrated MRI study. Hum. Brain Mapp. 36, 3973\u20133987 (2015).","journal-title":"Hum. Brain Mapp."},{"key":"8703_CR36","doi-asserted-by":"publisher","first-page":"1469","DOI":"10.1016\/j.neurobiolaging.2012.11.002","volume":"34","author":"CJ Gauthier","year":"2013","unstructured":"Gauthier, C. J. et al. Age dependence of hemodynamic response characteristics in human functional magnetic resonance imaging. Neurobiol. Aging 34, 1469\u20131485 (2013).","journal-title":"Neurobiol. Aging"},{"key":"8703_CR37","doi-asserted-by":"publisher","first-page":"1426","DOI":"10.1093\/cercor\/bhq224","volume":"21","author":"H Lu","year":"2011","unstructured":"Lu, H. et al. Alterations in cerebral metabolic rate and blood supply across the adult lifespan. Cereb. Cortex. 21, 1426\u20131434 (2011).","journal-title":"Cereb. Cortex."},{"key":"8703_CR38","doi-asserted-by":"publisher","first-page":"2257","DOI":"10.1253\/circj.CJ-10-0910","volume":"74","author":"HY Lee","year":"2010","unstructured":"Lee, H. Y. & Oh, B. H. Aging and arterial stiffness. Circ. J. 74, 2257\u20132262 (2010).","journal-title":"Circ. J."},{"key":"8703_CR39","doi-asserted-by":"crossref","unstructured":"Kornemann N. et al. Cerebral microcirculatory pulse wave propagation and pulse wave amplitude mapping in retrospectively gated MRI. Sci. Rep. 13, 1\u201310(2023).","DOI":"10.1038\/s41598-023-48439-0"},{"key":"8703_CR40","doi-asserted-by":"publisher","first-page":"768","DOI":"10.1161\/HYPERTENSIONAHA.120.14515","volume":"77","author":"GF Mitchell","year":"2021","unstructured":"Mitchell, G. F. Arterial stiffness in aging: does it have a place in clinical practice? Recent advances in hypertension. Hypertension 77, 768\u2013780 (2021).","journal-title":"Hypertension"},{"key":"8703_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jacc.2006.12.050","volume":"50","author":"MF O\u2019Rourke","year":"2007","unstructured":"O\u2019Rourke, M. F. & Hashimoto, J. Mechanical factors in arterial aging: a clinical perspective. J. Am. Coll. Cardiol. 50, 1\u201313 (2007).","journal-title":"J. Am. Coll. Cardiol."},{"key":"8703_CR42","doi-asserted-by":"publisher","first-page":"1951","DOI":"10.1161\/CIRCULATIONAHA.118.032410","volume":"138","author":"AL Jefferson","year":"2018","unstructured":"Jefferson, A. L. et al. Higher aortic stiffness is related to lower cerebral blood flow and preserved cerebrovascular reactivity in older adults. Circulation 138, 1951\u20131962 (2018).","journal-title":"Circulation"},{"key":"8703_CR43","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1161\/HYPERTENSIONAHA.118.11143","volume":"72","author":"LE DuBose","year":"2018","unstructured":"DuBose, L. E. et al. Higher aortic stiffness is associated with lower global cerebrovascular reserve among older humans. Hypertension 72, 476\u2013482 (2018).","journal-title":"Hypertension"},{"key":"8703_CR44","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1161\/01.HYP.0000168052.00426.65","volume":"46","author":"MF O\u2019Rourke","year":"2005","unstructured":"O\u2019Rourke, M. F. & Safar, M. E. Relationship between aortic stiffening and microvascular disease in brain and kidney: cause and logic of therapy. Hypertension 46, 200\u2013204 (2005).","journal-title":"Hypertension"},{"key":"8703_CR45","doi-asserted-by":"publisher","first-page":"589","DOI":"10.1161\/HYPERTENSIONAHA.111.188706","volume":"60","author":"S Ito","year":"2012","unstructured":"Ito, S. Cardiorenal syndrome: an evolutionary point of view. Hypertension 60, 589\u2013595 (2012).","journal-title":"Hypertension"},{"key":"8703_CR46","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1186\/s40885-023-00258-1","volume":"29","author":"HL Kim","year":"2023","unstructured":"Kim, H. L. Arterial stiffness and hypertension. Clin. Hypertens. 29, 31 (2023).","journal-title":"Clin. Hypertens."},{"key":"8703_CR47","doi-asserted-by":"crossref","unstructured":"Pearson J. D., Morrell C. H., Brant L. J., Landis P. K., Fleg J. L. Age-associated changes in blood pressure in a longitudinal study of healthy men and women. J. Gerontol. Series A. 52A, M177\u2013M183 (1997).","DOI":"10.1093\/gerona\/52A.3.M177"},{"key":"8703_CR48","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1161\/01.CIR.96.1.308","volume":"96","author":"SS Franklin","year":"1997","unstructured":"Franklin, S. S. et al. Hemodynamic patterns of age-related changes in blood pressure: The Framingham Heart Study. Circulation 96, 308\u2013315 (1997).","journal-title":"Circulation"},{"key":"8703_CR49","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1016\/j.neubiorev.2013.01.017","volume":"37","author":"LK Ferreira","year":"2013","unstructured":"Ferreira, L. K. & Busatto, G. F. Resting-state functional connectivity in normal brain aging. Neurosci. Biobehav. Rev. 37, 384\u2013400 (2013).","journal-title":"Neurosci. Biobehav. Rev."},{"key":"8703_CR50","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/s11065-014-9249-6","volume":"24","author":"EL Dennis","year":"2014","unstructured":"Dennis, E. L. & Thompson, P. M. Functional brain connectivity using fMRI in aging and Alzheimer\u2019s disease. Neuropsychol. Rev. 24, 49\u201362 (2014).","journal-title":"Neuropsychol. Rev."},{"key":"8703_CR51","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1016\/j.neuroimage.2018.10.009","volume":"185","author":"SY Bookheimer","year":"2019","unstructured":"Bookheimer, S. Y. et al. The Lifespan Human Connectome Project in aging: an overview. Neuroimage 185, 335\u2013348 (2019).","journal-title":"Neuroimage"},{"key":"8703_CR52","doi-asserted-by":"publisher","first-page":"972","DOI":"10.1016\/j.neuroimage.2018.09.060","volume":"183","author":"MP Harms","year":"2018","unstructured":"Harms, M. P. et al. Extending the Human Connectome Project across ages: imaging protocols for the Lifespan Development and Aging projects. Neuroimage 183, 972\u2013984 (2018).","journal-title":"Neuroimage"},{"key":"8703_CR53","unstructured":"Fan J. et al. Characterizing fMRI signatures of systemic physiology in healthy aging. In Proc. of Annual Conference of Organization for Human Brain Mapping. p. 2305 (2023)."},{"key":"8703_CR54","doi-asserted-by":"publisher","first-page":"15462","DOI":"10.1073\/pnas.1508831112","volume":"112","author":"AM Fjell","year":"2015","unstructured":"Fjell, A. M. et al. Development and aging of cortical thickness correspond to genetic organization patterns. Proc. Natl. Acad. Sci. USA 112, 15462\u201315467 (2015).","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"8703_CR55","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41467-021-21057-y","volume":"12","author":"JM Roe","year":"2021","unstructured":"Roe, J. M. et al. A symmetric thinning of the cerebral cortex across the adult lifespan is accelerated in Alzheimer\u2019s disease. Nat. Commun. 12, 1\u201311 (2021). 2021 12:1.","journal-title":"Nat. Commun."},{"key":"8703_CR56","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-021-99315-8","volume":"11","author":"JH Bae","year":"2021","unstructured":"Bae, J. H. & Jeon, Y. J. Pulse sharpness as a quantitative index of vascular aging. Sci. Rep. 11, 1\u201310 (2021). 2021 11:1.","journal-title":"Sci. Rep."},{"key":"8703_CR57","doi-asserted-by":"publisher","first-page":"111575","DOI":"10.1016\/j.mad.2021.111575","volume":"200","author":"Y Blinkouskaya","year":"2021","unstructured":"Blinkouskaya, Y., Ca\u00e7oilo, A., Gollamudi, T., Jalalian, S. & Weickenmeier, J. Brain aging mechanisms with mechanical manifestations. Mech. Ageing Dev. 200, 111575 (2021).","journal-title":"Mech. Ageing Dev."},{"key":"8703_CR58","doi-asserted-by":"publisher","first-page":"1619","DOI":"10.1038\/s43587-024-00692-2","volume":"4","author":"X Shen","year":"2024","unstructured":"Shen, X. et al. Nonlinear dynamics of multi-omics profiles during human aging. Nat. Aging 4, 1619\u20131634 (2024). 2024 4:11.","journal-title":"Nat. Aging"},{"key":"8703_CR59","doi-asserted-by":"publisher","first-page":"116707","DOI":"10.1016\/j.neuroimage.2020.116707","volume":"213","author":"JE Chen","year":"2020","unstructured":"Chen, J. E. et al. Resting-state \u201cphysiological networks. Neuroimage 213, 116707 (2020).","journal-title":"Neuroimage"},{"key":"8703_CR60","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.archger.2015.11.011","volume":"63","author":"MA Almeida-Santos","year":"2016","unstructured":"Almeida-Santos, M. A. et al. heart rate variability and patterns of autonomic regulation of the heart. Arch. Gerontol. Geriatr. 63, 1\u20138 (2016).","journal-title":"Arch. Gerontol. Geriatr."},{"key":"8703_CR61","doi-asserted-by":"crossref","unstructured":"Hayano J., Kisohara M., Ueda N., Yuda E. Impact of heart rate fragmentation on the assessment of heart rate variability. Appl. Sci. 10, 3314 (2020).","DOI":"10.3390\/app10093314"},{"key":"8703_CR62","doi-asserted-by":"publisher","first-page":"1215","DOI":"10.1016\/j.neuroimage.2010.04.258","volume":"52","author":"M Thambisetty","year":"2010","unstructured":"Thambisetty, M. et al. Longitudinal changes in cortical thickness associated with normal aging. Neuroimage 52, 1215\u20131223 (2010).","journal-title":"Neuroimage"},{"key":"8703_CR63","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/s10548-011-0198-6","volume":"24","author":"SM McGinnis","year":"2011","unstructured":"McGinnis, S. M., Brickhouse, M., Pascual, B. & Dickerson, B. C. Age-related changes in the thickness of cortical zones in humans. Brain Topogr. 24, 279\u2013291 (2011).","journal-title":"Brain Topogr."},{"key":"8703_CR64","doi-asserted-by":"publisher","first-page":"2521","DOI":"10.1093\/cercor\/bhs231","volume":"23","author":"LJ Hogstrom","year":"2013","unstructured":"Hogstrom, L. J., Westlye, L. T., Walhovd, K. B. & Fjell, A. M. The structure of the cerebral cortex across adult life: age-related patterns of surface area, thickness, and gyrification. Cereb. Cortex. 23, 2521\u20132530 (2013).","journal-title":"Cereb. Cortex."},{"key":"8703_CR65","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1093\/cercor\/bhh032","volume":"14","author":"DH Salat","year":"2004","unstructured":"Salat, D. H. et al. Thinning of the cerebral cortex in aging. Cereb. Cortex. 14, 721\u2013730 (2004).","journal-title":"Cereb. Cortex."},{"key":"8703_CR66","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.neurobiolaging.2015.12.009","volume":"39","author":"ME Shaw","year":"2016","unstructured":"Shaw, M. E., Sachdev, P. S., Anstey, K. J. & Cherbuin, N. Age-related cortical thinning in cognitively healthy individuals in their 60\u2009s: the PATH through life study. Neurobiol. Aging 39, 202\u2013209 (2016).","journal-title":"Neurobiol. Aging"},{"key":"8703_CR67","doi-asserted-by":"publisher","first-page":"2024","DOI":"10.1161\/01.STR.0000231640.32543.11","volume":"37","author":"JT Kielstein","year":"2006","unstructured":"Kielstein, J. T. et al. ADMA increases arterial stiffness and decreases cerebral blood flow in humans. Stroke 37, 2024\u20132029 (2006).","journal-title":"Stroke"},{"key":"8703_CR68","doi-asserted-by":"crossref","unstructured":"Badji A. et al. Arterial stiffness and brain integrity: a review of MRI findings. Ageing Res. Rev. 53, 100907 (2019).","DOI":"10.1016\/j.arr.2019.05.001"},{"key":"8703_CR69","doi-asserted-by":"publisher","first-page":"H1598","DOI":"10.1152\/ajpheart.00490.2012","volume":"304","author":"PW Pires","year":"2013","unstructured":"Pires, P. W., Dams Ramos, C. M., Matin, N. & Dorrance, A. M. The effects of hypertension on the cerebral circulation. Am. J. Physiol. Heart Circ. Physiol. 304, H1598 (2013).","journal-title":"Am. J. Physiol. Heart Circ. Physiol."},{"key":"8703_CR70","first-page":"1","volume":"2","author":"BP Gold","year":"2024","unstructured":"Gold, B. P. et al. Functional MRI signals exhibit stronger covariation with peripheral autonomic measures as vigilance decreases. Imaging. Neuroscience 2, 1\u201325 (2024).","journal-title":"Neuroscience"},{"key":"8703_CR71","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1016\/j.neuroimage.2018.04.045","volume":"176","author":"PS \u00d6zbay","year":"2018","unstructured":"\u00d6zbay, P. S. et al. Contribution of systemic vascular effects to fMRI activity in white matter. Neuroimage 176, 541\u2013549 (2018).","journal-title":"Neuroimage"},{"key":"8703_CR72","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1002\/hbm.20307","volume":"28","author":"DA Handwerker","year":"2007","unstructured":"Handwerker, D. A., Gazzaley, A., Inglis, B. A. & D\u2019Esposito, M. Reducing vascular variability of fMRI data across aging populations using a breathholding task. Hum. Brain Mapp. 28, 846\u2013859 (2007).","journal-title":"Hum. Brain Mapp."},{"key":"8703_CR73","doi-asserted-by":"publisher","first-page":"198","DOI":"10.1016\/j.neuroimage.2018.12.012","volume":"188","author":"KL West","year":"2019","unstructured":"West, K. L. et al. BOLD hemodynamic response function changes significantly with healthy aging. Neuroimage 188, 198\u2013207 (2019).","journal-title":"Neuroimage"},{"key":"8703_CR74","doi-asserted-by":"crossref","unstructured":"Polimeni J. R. Neurovascular coupling and functional neuroimaging. Ref. Module Neurosc. Biobehav. Psychol. 306\u2013324 (2025).","DOI":"10.1016\/B978-0-12-820480-1.00213-8"},{"key":"8703_CR75","doi-asserted-by":"publisher","first-page":"298","DOI":"10.1177\/0271678X20910302","volume":"41","author":"LA Rivera-Rivera","year":"2021","unstructured":"Rivera-Rivera, L. A. et al. Assessment of vascular stiffness in the internal carotid artery proximal to the carotid canal in Alzheimer\u2019s disease using pulse wave velocity from low rank reconstructed 4D flow MRI. J. Cereb. Blood Flow. Metab. 41, 298\u2013311 (2021).","journal-title":"J. Cereb. Blood Flow. Metab."},{"key":"8703_CR76","doi-asserted-by":"publisher","first-page":"1343","DOI":"10.1177\/0271678X241230741","volume":"44","author":"C Bj\u00f6rnfot","year":"2024","unstructured":"Bj\u00f6rnfot, C. et al. Cerebral arterial stiffness is linked to white matter hyperintensities and perivascular spaces in older adults\u2014a 4D flow MRI study. J. Cereb. Blood Flow. Metab. 44, 1343\u20131351 (2024).","journal-title":"J. Cereb. Blood Flow. Metab."},{"key":"8703_CR77","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1017\/S0265021507003341","volume":"25","author":"FA Rasulo","year":"2008","unstructured":"Rasulo, F. A., De Peri, E. & Lavinio, A. Transcranial Doppler ultrasonography in intensive care. Eur. J. Anaesthesiol. 25, 167\u2013173 (2008).","journal-title":"Eur. J. Anaesthesiol."},{"key":"8703_CR78","doi-asserted-by":"publisher","first-page":"1042","DOI":"10.1097\/00004647-200209000-00002","volume":"22","author":"ER Cohen","year":"2002","unstructured":"Cohen, E. R., Ugurbil, K. & Kim, S. G. Effect of basal conditions on the magnitude and dynamics of the blood oxygenation level-dependent fMRI response. J. Cereb. Blood Flow. Metab. 22, 1042\u20131053 (2002).","journal-title":"J. Cereb. Blood Flow. Metab."},{"key":"8703_CR79","doi-asserted-by":"publisher","first-page":"1642","DOI":"10.1016\/j.neuroimage.2006.04.195","volume":"32","author":"AL Vazquez","year":"2006","unstructured":"Vazquez, A. L. et al. Vascular dynamics and BOLD fMRI: CBF level effects and analysis considerations. Neuroimage 32, 1642\u20131655 (2006).","journal-title":"Neuroimage"},{"key":"8703_CR80","first-page":"263585","volume":"2011","author":"D Nyhan","year":"2011","unstructured":"Nyhan, D., Steppan, J., Barodka, V. & Berkowitz, D. E. V. ascularS. tiffness and Increased Pulse Pressure in the Aging Cardiovascular System. Cardiol. Res Pract. 2011, 263585 (2011).","journal-title":"Cardiol. Res Pract."},{"key":"8703_CR81","doi-asserted-by":"publisher","first-page":"954","DOI":"10.1111\/j.1540-8167.2005.40788.x","volume":"16","author":"PK Stein","year":"2005","unstructured":"Stein, P. K., Domitrovich, P. P., Hui, N., Rautaharju, P. & Gottdiener, J. Sometimes higher heart rate variability is not better heart rate variability: results of graphical and nonlinear analyses. J. Cardiovasc Electrophysiol. 16, 954\u2013959 (2005).","journal-title":"J. Cardiovasc Electrophysiol."},{"key":"8703_CR82","doi-asserted-by":"crossref","unstructured":"Song R. et al. The physiological component of the BOLD signal: impact of age and heart rate variability biofeedback training. bioRxiv. 2025-04 (2025).","DOI":"10.1101\/2025.04.04.647252"},{"key":"8703_CR83","doi-asserted-by":"publisher","first-page":"1474","DOI":"10.15252\/embj.201695810","volume":"36","author":"S Camandola","year":"2017","unstructured":"Camandola, S. & Mattson, M. P. Brain metabolism in health, aging, and neurodegeneration. EMBO J. 36, 1474\u20131492 (2017).","journal-title":"EMBO J."},{"key":"8703_CR84","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.neuron.2017.07.030","volume":"96","author":"C Iadecola","year":"2017","unstructured":"Iadecola, C. The neurovascular unit coming of age: a journey through neurovascular coupling in health and disease. Neuron 96, 17\u201342 (2017).","journal-title":"Neuron"},{"key":"8703_CR85","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.exger.2016.11.004","volume":"94","author":"S Tarantini","year":"2017","unstructured":"Tarantini, S., Tran, C. H. T., Gordon, G. R., Ungvari, Z. & Csiszar, A. Impaired neurovascular coupling in aging and Alzheimer\u2019s disease: Contribution of astrocyte dysfunction and endothelial impairment to cognitive decline. Exp. Gerontol. 94, 52\u201358 (2017).","journal-title":"Exp. Gerontol."},{"key":"8703_CR86","doi-asserted-by":"publisher","first-page":"10503","DOI":"10.1523\/JNEUROSCI.1103-13.2013","volume":"33","author":"F Beissner","year":"2013","unstructured":"Beissner, F., Meissner, K., B\u00e4r, K. J. & Napadow, V. The autonomic brain: an activation likelihood estimation meta-analysis for central processing of autonomic function. J. Neurosci. 33, 10503\u201310511 (2013).","journal-title":"J. Neurosci."},{"key":"8703_CR87","doi-asserted-by":"publisher","first-page":"4962","DOI":"10.1002\/hbm.24337","volume":"39","author":"M Bernier","year":"2018","unstructured":"Bernier, M., Cunnane, S. C. & Whittingstall, K. The morphology of the human cerebrovascular system. Hum. Brain Mapp. 39, 4962\u20134975 (2018).","journal-title":"Hum. Brain Mapp."},{"key":"8703_CR88","doi-asserted-by":"crossref","unstructured":"Tsvetanov et al. Vascular and neuronal effects of age on fMRI BOLD signals. Philos. Transact. R. Soc. B. 376, (2021).","DOI":"10.1098\/rstb.2019.0631"},{"key":"8703_CR89","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1111\/psyp.12027","volume":"50","author":"GA Reyes del Paso","year":"2013","unstructured":"Reyes del Paso, G. A., Langewitz, W., Mulder, L. J. M., van Roon, A. & Duschek, S. The utility of low frequency heart rate variability as an index of sympathetic cardiac tone: A review with emphasis on a reanalysis of previous studies. Psychophysiology 50, 477\u2013487 (2013).","journal-title":"Psychophysiology"},{"key":"8703_CR90","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1016\/j.cardiores.2005.11.008","volume":"70","author":"C Julien","year":"2006","unstructured":"Julien, C. The enigma of Mayer waves: Facts and models. Cardiovasc Res. 70, 12\u201321 (2006).","journal-title":"Cardiovasc Res."},{"key":"8703_CR91","doi-asserted-by":"crossref","unstructured":"Bolt, T. et al. Widespread autonomic physiological coupling across the brain-body axis. bioRxiv. 2023.01.19.524818 (2024).","DOI":"10.1101\/2023.01.19.524818"},{"key":"8703_CR92","doi-asserted-by":"publisher","first-page":"119720","DOI":"10.1016\/j.neuroimage.2022.119720","volume":"264","author":"Y Gu","year":"2022","unstructured":"Gu, Y. et al. An orderly sequence of autonomic and neural events at transient arousal changes. Neuroimage 264, 119720 (2022).","journal-title":"Neuroimage"},{"key":"8703_CR93","doi-asserted-by":"crossref","unstructured":"Raut, R. V. et al. Global waves synchronize the brain\u2019s functional systems with fluctuating arousal. Sci. Adv. 7, eabf2709 (2021).","DOI":"10.1126\/sciadv.abf2709"},{"key":"8703_CR94","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.brainres.2018.12.030","volume":"1710","author":"LS Robison","year":"2019","unstructured":"Robison, L. S., Gannon, O. J., Salinero, A. E. & Zuloaga, K. L. Contributions of sex to cerebrovascular function and pathology. Brain Res. 1710, 43\u201360 (2019).","journal-title":"Brain Res."},{"key":"8703_CR95","doi-asserted-by":"crossref","unstructured":"Orshal J. M., Khalil R. A. Gender, sex hormones, and vascular tone. Am. J. Physiol. Regul. Integr. Comp. Physiol. 286, R233-49 (2004).","DOI":"10.1152\/ajpregu.00338.2003"},{"key":"8703_CR96","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1159\/000086570","volume":"60","author":"K Takahashi","year":"2005","unstructured":"Takahashi, K. et al. Impact of menopause on the augmentation of arterial stiffness with aging. Gynecol. Obstet. Investig. 60, 162\u2013166 (2005).","journal-title":"Gynecol. Obstet. Investig."},{"key":"8703_CR97","first-page":"204390","volume":"2014","author":"KL Moreau","year":"2014","unstructured":"Moreau, K. L. & Hildreth, K. L. Vascular aging across the menopause transition in healthy women. Adv. Vasc. Med. 2014, 204390 (2014).","journal-title":"Adv. Vasc. Med."},{"key":"8703_CR98","doi-asserted-by":"publisher","first-page":"085007","DOI":"10.1088\/1361-6579\/ac826d","volume":"43","author":"PH Charlton","year":"2022","unstructured":"Charlton, P. H. et al. Detecting beats in the photoplethysmogram: benchmarking open-source algorithms. Physiol. Meas. 43, 085007 (2022).","journal-title":"Physiol. Meas."},{"key":"8703_CR99","doi-asserted-by":"publisher","first-page":"436","DOI":"10.7326\/0003-4819-118-6-199303150-00008","volume":"118","author":"CMA van Ravenswaaij-Arts","year":"1993","unstructured":"van Ravenswaaij-Arts, C. M. A., Kollee, L. A. A., Hopman, J. C. W., Stoelinga, G. B. A. & van Geijn, H. P. Heart rate variability. Ann. Intern Med. 118, 436\u2013447 (1993).","journal-title":"Ann. Intern Med."},{"key":"8703_CR100","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1006\/cbmr.1996.0014","volume":"29","author":"RW Cox","year":"1996","unstructured":"Cox, R. W. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput. Biomed. Res. 29, 162\u2013173 (1996).","journal-title":"Comput. Biomed. Res."},{"key":"8703_CR101","doi-asserted-by":"publisher","first-page":"S208","DOI":"10.1016\/j.neuroimage.2004.07.051","volume":"23","author":"SM Smith","year":"2004","unstructured":"Smith, S. M. et al. Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23, S208\u2013S219 (2004).","journal-title":"Neuroimage"},{"key":"8703_CR102","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1002\/1522-2594(200007)44:1<162::AID-MRM23>3.0.CO;2-E","volume":"44","author":"GH Glover","year":"2000","unstructured":"Glover, G. H., Li, T.-Q. & Ress, D. Image-based method for retrospective correction of physiological motion effects in fMRI: RETROICOR. Magn. Reson Med. 44, 162\u2013167 (2000).","journal-title":"Magn. Reson Med."},{"key":"8703_CR103","doi-asserted-by":"publisher","first-page":"3095","DOI":"10.1093\/cercor\/bhx179","volume":"28","author":"A Schaefer","year":"2018","unstructured":"Schaefer, A. et al. Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI. Cereb. Cortex. 28, 3095\u20133114 (2018).","journal-title":"Cereb. Cortex."},{"key":"8703_CR104","doi-asserted-by":"publisher","first-page":"774","DOI":"10.1016\/j.neuroimage.2012.01.021","volume":"62","author":"B Fischl","year":"2012","unstructured":"Fischl, B. FreeSurfer. Neuroimage 62, 774\u2013781 (2012).","journal-title":"Neuroimage"},{"key":"8703_CR105","doi-asserted-by":"publisher","first-page":"4518","DOI":"10.1073\/pnas.1520613113","volume":"113","author":"C Chang","year":"2016","unstructured":"Chang, C. et al. Tracking brain arousal fluctuations with fMRI. Proc. Natl. Acad. Sci. USA 113, 4518\u20134523 (2016).","journal-title":"Proc. Natl. Acad. Sci. USA"}],"container-title":["Communications Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s42003-025-08703-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s42003-025-08703-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s42003-025-08703-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T18:19:06Z","timestamp":1757441946000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s42003-025-08703-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,27]]},"references-count":105,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["8703"],"URL":"https:\/\/doi.org\/10.1038\/s42003-025-08703-7","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2025.04.05.647057","asserted-by":"object"}]},"ISSN":["2399-3642"],"issn-type":[{"value":"2399-3642","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,27]]},"assertion":[{"value":"10 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 August 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 August 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"1287"}}