{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T04:59:50Z","timestamp":1785560390939,"version":"3.56.0"},"reference-count":51,"publisher":"Japan Atherosclerosis Society","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JAT","J Atheroscler Thromb"],"published-print":{"date-parts":[[2026,8,1]]},"DOI":"10.5551\/jat.65993","type":"journal-article","created":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T22:10:33Z","timestamp":1777414233000},"page":"1060-1082","source":"Crossref","is-referenced-by-count":0,"title":["Association between cardiovascular disease risk factors and white matter lesions: The Tohoku Medical Megabank Cohort Study"],"prefix":"10.5551","volume":"33","author":[{"given":"Megumi","family":"Satake","sequence":"first","affiliation":[{"name":"Graduate School of Medicine, Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ippei","family":"Chiba","sequence":"additional","affiliation":[{"name":"Graduate School of Medicine, Tohoku University"},{"name":"Tohoku Medical Megabank Organization, Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mana","family":"Kogure","sequence":"additional","affiliation":[{"name":"Graduate School of Medicine, Tohoku University"},{"name":"Tohoku Medical Megabank Organization, Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rieko","family":"Hatanaka","sequence":"additional","affiliation":[{"name":"Graduate School of Medicine, Tohoku University"},{"name":"Tohoku Medical Megabank Organization, Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kumi","family":"Nakaya","sequence":"additional","affiliation":[{"name":"Graduate School of Medicine, Tohoku University"},{"name":"Tohoku Medical Megabank Organization, Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masato","family":"Takase","sequence":"additional","affiliation":[{"name":"Graduate School of Medicine, Tohoku University"},{"name":"Tohoku Medical Megabank Organization, Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sayuri","family":"Tokioka","sequence":"additional","affiliation":[{"name":"Graduate School of Medicine, Tohoku University"},{"name":"Tohoku Medical Megabank Organization, Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naoki","family":"Nakaya","sequence":"additional","affiliation":[{"name":"Graduate School of Medicine, Tohoku University"},{"name":"Tohoku Medical Megabank Organization, Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naoko","family":"Mori","sequence":"additional","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University"},{"name":"Graduate School of Medicine, Akita University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Takuya","family":"Koyama","sequence":"additional","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuto","family":"Abe","sequence":"additional","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yasuyuki","family":"Taki","sequence":"additional","affiliation":[{"name":"Graduate School of Medicine, Tohoku University"},{"name":"Tohoku Medical Megabank Organization, Tohoku University"},{"name":"Institute of Development, Aging and Cancer (IDAC), Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nobuo","family":"Fuse","sequence":"additional","affiliation":[{"name":"Graduate School of Medicine, Tohoku University"},{"name":"Tohoku Medical Megabank Organization, Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kengo","family":"Kinoshita","sequence":"additional","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University"},{"name":"Institute of Development, Aging and Cancer (IDAC), Tohoku University"},{"name":"Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University"},{"name":"Graduate School of Information Sciences, Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yoko","family":"Izumi","sequence":"additional","affiliation":[{"name":"Tohoku Medical Megabank Organization, Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shunji","family":"Mugikura","sequence":"additional","affiliation":[{"name":"Graduate School of Medicine, Tohoku University"},{"name":"Tohoku Medical Megabank Organization, Tohoku University"},{"name":"Institute of Development, Aging and Cancer (IDAC), Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Atsushi","family":"Hozawa","sequence":"additional","affiliation":[{"name":"Graduate School of Medicine, Tohoku University"},{"name":"Tohoku Medical Megabank Organization, Tohoku University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"3489","reference":[{"key":"1","unstructured":"1) GBD 2019 Dementia Forecasting Collaborators: Estimation of the Global Prevalence of Dementia in 2019 and Forecasted Prevalence in 2050: An Analysis for the Global Burden of Disease Study 2019. Lancet Public Health, 2022; 7: e105-e125"},{"key":"2","doi-asserted-by":"crossref","unstructured":"2) Mustapha M, Nassir C M N C M, Aminuddin N, Safri A A, Ghazali M M: Cerebral Small Vessel Disease (CSVD) - Lessons From the Animal Models. Front. Physiol., 2019; 10: 1317","DOI":"10.3389\/fphys.2019.01317"},{"key":"3","doi-asserted-by":"crossref","unstructured":"3) Vermeer S E, Prins N D, den Heijer T, Hofman A, Koudstaal P J, Breteler M M B: Silent Brain Infarcts and the Risk of Dementia and Cognitive Decline. N. Engl. J. Med., 2003; 348: 1215-1222","DOI":"10.1056\/NEJMoa022066"},{"key":"4","doi-asserted-by":"crossref","unstructured":"4) Charidimou A, Werring D J: Cerebral Microbleeds and Cognition in Cerebrovascular Disease: An Update. J. Neurol. Sci., 2012; 322: 50-55","DOI":"10.1016\/j.jns.2012.05.052"},{"key":"5","doi-asserted-by":"crossref","unstructured":"5) Werring D J, Gregoire S M, Cipolotti L: Cerebral Microbleeds and Vascular Cognitive Impairment. J. Neurol. Sci., 2010; 299: 131-135","DOI":"10.1016\/j.jns.2010.08.034"},{"key":"6","doi-asserted-by":"crossref","unstructured":"6) Debette S, Schilling S, Duperron M-G, Larsson S C, Markus H S: Clinical Significance of Magnetic Resonance Imaging Markers of Vascular Brain Injury: A Systematic Review and Meta-Analysis. JAMA Neurol., 2019; 76: 81-94","DOI":"10.1001\/jamaneurol.2018.3122"},{"key":"7","doi-asserted-by":"crossref","unstructured":"7) Bos D, Wolters F J, Darweesh S K L, Vernooij M W, de Wolf F, Ikram M A, Hofman A: Cerebral Small Vessel Disease and the Risk of Dementia: A Systematic Review and Meta-Analysis of Population-Based Evidence. Alzheimers Dement. J. Alzheimers Assoc., 2018; 14: 1482-1492","DOI":"10.1016\/j.jalz.2018.04.007"},{"key":"8","doi-asserted-by":"crossref","unstructured":"8) Wardlaw J M, Smith E E, Biessels G J, Cordonnier C, Fazekas F, Frayne R, Lindley R I, O\u2019Brien J T, Barkhof F, Benavente O R, Black S E, Brayne C, Breteler M, Chabriat H, Decarli C, de Leeuw F-E, Doubal F, Duering M, Fox N C, Greenberg S, Hachinski V, Kilimann I, Mok V, Oostenbrugge R van, Pantoni L, Speck O, Stephan B C M, Teipel S, Viswanathan A, Werring D, Chen C, Smith C, van Buchem M, Norrving B, Gorelick P B, Dichgans M, STandards for ReportIng Vascular changes on nEuroimaging (STRIVE v1): Neuroimaging Standards for Research into Small Vessel Disease and Its Contribution to Ageing and Neurodegeneration. Lancet Neurol., 2013; 12: 822-838","DOI":"10.1016\/S1474-4422(13)70124-8"},{"key":"9","doi-asserted-by":"crossref","unstructured":"9) Pasi M, Cordonnier C: Clinical Relevance of Cerebral Small Vessel Diseases. Stroke, 2020; 51: 47-53","DOI":"10.1161\/STROKEAHA.119.024148"},{"key":"10","doi-asserted-by":"crossref","unstructured":"10) Nakazawa T, Ohara T, Hirabayashi N, Furuta Y, Hata J, Shibata M, Honda T, Kitazono T, Nakao T, Ninomiya T: Association of White Matter Lesions and Brain Atrophy with the Development of Dementia in a Community: The Hisayama Study. Psychiatry Clin. Neurosci., 2023; 77: 330-337","DOI":"10.1111\/pcn.13533"},{"key":"11","doi-asserted-by":"crossref","unstructured":"11) Scheltens P, Barkhof F, Valk J, Algra P R, van der Hoop R G, Nauta J, Wolters E C: White Matter Lesions on Magnetic Resonance Imaging in Clinically Diagnosed Alzheimer\u2019s Disease. Evidence for Heterogeneity. Brain J. Neurol., 1992; 115 ( Pt 3): 735-748","DOI":"10.1093\/brain\/115.3.735"},{"key":"12","doi-asserted-by":"crossref","unstructured":"12) Au R, Massaro J M, Wolf P A, Young M E, Beiser A, Seshadri S, D\u2019Agostino R B, DeCarli C: Association of White Matter Hyperintensity Volume With Decreased Cognitive Functioning: The Framingham Heart Study. Arch. Neurol., 2006; 63: 246-250","DOI":"10.1001\/archneur.63.2.246"},{"key":"13","doi-asserted-by":"crossref","unstructured":"13) Cox S R, Lyall D M, Ritchie S J, Bastin M E, Harris M A, Buchanan C R, Fawns-Ritchie C, Barbu M C, de Nooij L, Reus L M, Alloza C, Shen X, Neilson E, Alderson H L, Hunter S, Liewald D C, Whalley H C, McIntosh A M, Lawrie S M, Pell J P, Tucker-Drob E M, Wardlaw J M, Gale C R, Deary I J: Associations between Vascular Risk Factors and Brain MRI Indices in UK Biobank. Eur. Heart J., 2019; 40: 2290-2300","DOI":"10.1093\/eurheartj\/ehz100"},{"key":"14","doi-asserted-by":"crossref","unstructured":"14) Garnier-Crussard A, Bougacha S, Wirth M, Dautricourt S, Sherif S, Landeau B, Gonneaud J, De Flores R, de la Sayette V, Vivien D, Krolak-Salmon P, Ch\u00e9telat G: White Matter Hyperintensity Topography in Alzheimer\u2019s Disease and Links to Cognition. Alzheimers Dement. J. Alzheimers Assoc., 2022; 18: 422-433","DOI":"10.1002\/alz.12410"},{"key":"15","doi-asserted-by":"crossref","unstructured":"15) Hu H-Y, Ou Y-N, Shen X-N, Qu Y, Ma Y-H, Wang Z-T, Dong Q, Tan L, Yu J-T: White Matter Hyperintensities and Risks of Cognitive Impairment and Dementia: A Systematic Review and Meta-Analysis of 36 Prospective Studies. Neurosci. Biobehav. Rev., 2021; 120: 16-27","DOI":"10.1016\/j.neubiorev.2020.11.007"},{"key":"16","doi-asserted-by":"crossref","unstructured":"16) Wang Y-L, Chen W, Cai W-J, Hu H, Xu W, Wang Z-T, Cao X-P, Tan L, Yu J-T, Alzheimer\u2019s Disease Neuroimaging Initiative: Associations of White Matter Hyperintensities with Cognitive Decline: A Longitudinal Study. J. Alzheimers Dis. JAD, 2020; 73: 759-768","DOI":"10.3233\/JAD-191005"},{"key":"17","doi-asserted-by":"crossref","unstructured":"17) Koohi F, Harshfield E L, Markus H S: Contribution of Conventional Cardiovascular Risk Factors to Brain White Matter Hyperintensities. J. Am. Heart Assoc., 2023; 12: e030676","DOI":"10.1161\/JAHA.123.030676"},{"key":"18","doi-asserted-by":"crossref","unstructured":"18) Power M C, Tingle J V, Reid R I, Huang J, Sharrett A R, Coresh J, Griswold M, Kantarci K, Jack C R, Knopman D, Gottesman R F, Mosley T H: Midlife and Late-Life Vascular Risk Factors and White Matter Microstructural Integrity: The Atherosclerosis Risk in Communities Neurocognitive Study. J. Am. Heart Assoc., 2017; 6: e005608","DOI":"10.1161\/JAHA.117.005608"},{"key":"19","doi-asserted-by":"crossref","unstructured":"19) Keller J A, Kant I M J, Slooter A J C, van Montfort S J T, van Buchem M A, van Osch M J P, Hendrikse J, de Bresser J: Different Cardiovascular Risk Factors Are Related to Distinct White Matter Hyperintensity MRI Phenotypes in Older Adults. NeuroImage Clin., 2022; 35: 103131","DOI":"10.1016\/j.nicl.2022.103131"},{"key":"20","doi-asserted-by":"crossref","unstructured":"20) de Leeuw F-E, de Groot J C, Oudkerk M, Witteman J C M, Hofman A, van Gijn J, Breteler M M B: Hypertension and Cerebral White Matter Lesions in a Prospective Cohort Study. Brain J. Neurol., 2002; 125: 765-772","DOI":"10.1093\/brain\/awf077"},{"key":"21","doi-asserted-by":"crossref","unstructured":"21) Pase M P, Himali J J, Mitchell G F, Beiser A, Maillard P, Tsao C, Larson M G, DeCarli C, Vasan R S, Seshadri S: Association of Aortic Stiffness With Cognition and Brain Aging in Young and Middle-Aged Adults: The Framingham Third Generation Cohort Study. Hypertens. Dallas Tex 1979, 2016; 67: 513-519","DOI":"10.1161\/HYPERTENSIONAHA.115.06610"},{"key":"22","doi-asserted-by":"crossref","unstructured":"22) Breteler M M, van Swieten J C, Bots M L, Grobbee D E, Claus J J, van den Hout J H, van Harskamp F, Tanghe H L, de Jong P T, van Gijn J: Cerebral White Matter Lesions, Vascular Risk Factors, and Cognitive Function in a Population-Based Study: The Rotterdam Study. Neurology, 1994; 44: 1246-1252","DOI":"10.1212\/WNL.44.7.1246"},{"key":"23","doi-asserted-by":"crossref","unstructured":"23) Wang Z, Chen Q, Chen J, Yang N, Zheng K: Risk Factors of Cerebral Small Vessel Disease: A Systematic Review and Meta-Analysis. Medicine (Baltimore), 2021; 100: e28229","DOI":"10.1097\/MD.0000000000028229"},{"key":"24","doi-asserted-by":"crossref","unstructured":"24) Livingston G, Huntley J, Liu K Y, Costafreda S G, Selb\u00e6k G, Alladi S, Ames D, Banerjee S, Burns A, Brayne C, Fox N C, Ferri C P, Gitlin L N, Howard R, Kales H C, Kivim\u00e4ki M, Larson E B, Nakasujja N, Rockwood K, Samus Q, Shirai K, Singh-Manoux A, Schneider L S, Walsh S, Yao Y, Sommerlad A, Mukadam N: Dementia Prevention, Intervention, and Care: 2024 Report of the Lancet Standing Commission. The Lancet, 2024; 404: 572-628","DOI":"10.1016\/S0140-6736(24)01296-0"},{"key":"25","doi-asserted-by":"crossref","unstructured":"25) Groh J, Simons M: White Matter Aging and Its Impact on Brain Function. Neuron, 2025; 113: 127-139","DOI":"10.1016\/j.neuron.2024.10.019"},{"key":"26","doi-asserted-by":"crossref","unstructured":"26) Hozawa A, Tanno K, Nakaya N, Nakamura T, Tsuchiya N, Hirata T, Narita A, Kogure M, Nochioka K, Sasaki R, Takanashi N, Otsuka K, Sakata K, Kuriyama S, Kikuya M, Tanabe O, Sugawara J, Suzuki K, Suzuki Y, Kodama E N, Fuse N, Kiyomoto H, Tomita H, Uruno A, Hamanaka Y, Metoki H, Ishikuro M, Obara T, Kobayashi T, Kitatani K, Takai-Igarashi T, Ogishima S, Satoh M, Ohmomo H, Tsuboi A, Egawa S, Ishii T, Ito K, Ito S, Taki Y, Minegishi N, Ishii N, Nagasaki M, Igarashi K, Koshiba S, Shimizu R, Tamiya G, Nakayama K, Motohashi H, Yasuda J, Shimizu A, Hachiya T, Shiwa Y, Tominaga T, Tanaka H, Oyama K, Tanaka R, Kawame H, Fukushima A, Ishigaki Y, Tokutomi T, Osumi N, Kobayashi T, Nagami F, Hashizume H, Arai T, Kawaguchi Y, Higuchi S, Sakaida M, Endo R, Nishizuka S, Tsuji I, Hitomi J, Nakamura M, Ogasawara K, Yaegashi N, Kinoshita K, Kure S, Sakai A, Kobayashi S, Sobue K, Sasaki M, Yamamoto M: Study Profile of the Tohoku Medical Megabank Community-Based Cohort Study. J. Epidemiol., 2021; 31: 65-76","DOI":"10.2188\/jea.JE20190271"},{"key":"27","unstructured":"27) Taira M, Mugikura S, Mori N, Hozawa A, Saito T, Nakamura T, Kiyomoto H, Kobayashi T, Ogishima S, Nagami F, Uruno A, Shimizu R, Kobayashi T, Yasuda J, Kure S, Sakurai M, Motoike I N, Kumada K, Nakaya N, Obara T, Oba K, Sekiguchi A, Thyreau B, Mutoh T, Takano Y, Abe M, Maikusa N, Tatewaki Y, Taki Y, Yaegashi N, Tomita H, Kinoshita K, Kuriyama S, Fuse N, Yamamoto M: Tohoku Medical Megabank Brain Magnetic Resonance Imaging Study: Rationale, Design, and Background. JMA J., 2023; 6: 246-264"},{"key":"28","doi-asserted-by":"crossref","unstructured":"28) Kuriyama S, Yaegashi N, Nagami F, Arai T, Kawaguchi Y, Osumi N, Sakaida M, Suzuki Y, Nakayama K, Hashizume H, Tamiya G, Kawame H, Suzuki K, Hozawa A, Nakaya N, Kikuya M, Metoki H, Tsuji I, Fuse N, Kiyomoto H, Sugawara J, Tsuboi A, Egawa S, Ito K, Chida K, Ishii T, Tomita H, Taki Y, Minegishi N, Ishii N, Yasuda J, Igarashi K, Shimizu R, Nagasaki M, Koshiba S, Kinoshita K, Ogishima S, Takai-Igarashi T, Tominaga T, Tanabe O, Ohuchi N, Shimosegawa T, Kure S, Tanaka H, Ito S, Hitomi J, Tanno K, Nakamura M, Ogasawara K, Kobayashi S, Sakata K, Satoh M, Shimizu A, Sasaki M, Endo R, Sobue K, Group the T M M P S, Yamamoto M: The Tohoku Medical Megabank Project: Design and Mission. J. Epidemiol., 2016; 26: 493","DOI":"10.2188\/jea.JE20150268"},{"key":"29","doi-asserted-by":"crossref","unstructured":"29) Kuriyama S, Metoki H, Kikuya M, Obara T, Ishikuro M, Yamanaka C, Nagai M, Matsubara H, Kobayashi T, Sugawara J, Tamiya G, Hozawa A, Nakaya N, Tsuchiya N, Nakamura T, Narita A, Kogure M, Hirata T, Tsuji I, Nagami F, Fuse N, Arai T, Kawaguchi Y, Higuchi S, Sakaida M, Suzuki Y, Osumi N, Nakayama K, Ito K, Egawa S, Chida K, Kodama E, Kiyomoto H, Ishii T, Tsuboi A, Tomita H, Taki Y, Kawame H, Suzuki K, Ishii N, Ogishima S, Mizuno S, Takai-Igarashi T, Minegishi N, Yasuda J, Igarashi K, Shimizu R, Nagasaki M, Tanabe O, Koshiba S, Hashizume H, Motohashi H, Tominaga T, Ito S, Tanno K, Sakata K, Shimizu A, Hitomi J, Sasaki M, Kinoshita K, Tanaka H, Kobayashi T, Tohoku Medical Megabank Project Study Group, Kure S, Yaegashi N, Yamamoto M: Cohort Profile: Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study (TMM BirThree Cohort Study): Rationale, Progress and Perspective. Int. J. Epidemiol., 2020; 49: 18-19m","DOI":"10.1093\/ije\/dyz169"},{"key":"30","doi-asserted-by":"crossref","unstructured":"30) Desikan R S, S\u00e9gonne F, Fischl B, Quinn B T, Dickerson B C, Blacker D, Buckner R L, Dale A M, Maguire R P, Hyman B T, Albert M S, Killiany R J: An Automated Labeling System for Subdividing the Human Cerebral Cortex on MRI Scans into Gyral Based Regions of Interest. NeuroImage, 2006; 31: 968-980","DOI":"10.1016\/j.neuroimage.2006.01.021"},{"key":"31","doi-asserted-by":"crossref","unstructured":"31) Fischl B, Salat D H, Busa E, Albert M, Dieterich M, Haselgrove C, van der Kouwe A, Killiany R, Kennedy D, Klaveness S, Montillo A, Makris N, Rosen B, Dale A M: Whole Brain Segmentation: Automated Labeling of Neuroanatomical Structures in the Human Brain. Neuron, 2002; 33: 341-355","DOI":"10.1016\/S0896-6273(02)00569-X"},{"key":"32","doi-asserted-by":"crossref","unstructured":"32) Fischl B, Salat D H, van der Kouwe A J W, Makris N, S\u00e9gonne F, Quinn B T, Dale A M: Sequence-Independent Segmentation of Magnetic Resonance Images. NeuroImage, 2004; 23 Suppl 1: S69-84","DOI":"10.1016\/j.neuroimage.2004.07.016"},{"key":"33","doi-asserted-by":"crossref","unstructured":"33) Fischl B: FreeSurfer. NeuroImage, 2012; 62: 774-781","DOI":"10.1016\/j.neuroimage.2012.01.021"},{"key":"34","doi-asserted-by":"crossref","unstructured":"34) Reuter M, Schmansky N J, Rosas H D, Fischl B: Within-Subject Template Estimation for Unbiased Longitudinal Image Analysis. NeuroImage, 2012; 61: 1402-1418","DOI":"10.1016\/j.neuroimage.2012.02.084"},{"key":"35","doi-asserted-by":"crossref","unstructured":"35) Schmidt P, Gaser C, Arsic M, Buck D, F\u00f6rschler A, Berthele A, Hoshi M, Ilg R, Schmid V J, Zimmer C, Hemmer B, M\u00fchlau M: An Automated Tool for Detection of FLAIR-Hyperintense White-Matter Lesions in Multiple Sclerosis. NeuroImage, 2012; 59: 3774-3783","DOI":"10.1016\/j.neuroimage.2011.11.032"},{"key":"36","doi-asserted-by":"crossref","unstructured":"36) Masana Y, Motozaki T: Emergence and Progress of White Matter Lesion in Brain Check-Up. Acta Neurol. Scand., 2003; 107: 187-194","DOI":"10.1034\/j.1600-0404.2003.02021.x"},{"key":"37","doi-asserted-by":"crossref","unstructured":"37) Peters A: The Effects of Normal Aging on Myelin and Nerve Fibers: A Review. J. Neurocytol., 2002; 31: 581-593","DOI":"10.1023\/A:1025731309829"},{"key":"38","doi-asserted-by":"crossref","unstructured":"38) Sandell J H, Peters A: Disrupted Myelin and Axon Loss in the Anterior Commissure of the Aged Rhesus Monkey. J. Comp. Neurol., 2003; 466: 14-30","DOI":"10.1002\/cne.10859"},{"key":"39","doi-asserted-by":"crossref","unstructured":"39) Verhaaren B F J, Vernooij M W, de Boer R, Hofman A, Niessen W J, van der Lugt A, Ikram M A: High Blood Pressure and Cerebral White Matter Lesion Progression in the General Population. Hypertens. Dallas Tex 1979, 2013; 61: 1354-1359","DOI":"10.1161\/HYPERTENSIONAHA.111.00430"},{"key":"40","doi-asserted-by":"crossref","unstructured":"40) Godin O, Tzourio C, Maillard P, Mazoyer B, Dufouil C: Antihypertensive Treatment and Change in Blood Pressure Are Associated with the Progression of White Matter Lesion Volumes: The Three-City (3C)-Dijon Magnetic Resonance Imaging Study. Circulation, 2011; 123: 266-273","DOI":"10.1161\/CIRCULATIONAHA.110.961052"},{"key":"41","doi-asserted-by":"crossref","unstructured":"41) SPRINT MIND Investigators for the SPRINT Research Group, Nasrallah I M, Pajewski N M, Auchus A P, Chelune G, Cheung A K, Cleveland M L, Coker L H, Crowe M G, Cushman W C, Cutler J A, Davatzikos C, Desiderio L, Doshi J, Erus G, Fine L J, Gaussoin S A, Harris D, Johnson K C, Kimmel P L, Kurella Tamura M, Launer L J, Lerner A J, Lewis C E, Martindale-Adams J, Moy C S, Nichols L O, Oparil S, Ogrocki P K, Rahman M, Rapp S R, Reboussin D M, Rocco M V, Sachs B C, Sink K M, Still C H, Supiano M A, Snyder J K, Wadley V G, Walker J, Weiner D E, Whelton P K, Wilson V M, Woolard N, Wright J T, Wright C B, Williamson J D, Bryan R N: Association of Intensive vs Standard Blood Pressure Control With Cerebral White Matter Lesions. JAMA, 2019; 322: 524-534","DOI":"10.1001\/jama.2019.10551"},{"key":"42","doi-asserted-by":"crossref","unstructured":"42) Huang W-Q, Lin Q, Tzeng C-M: Leukoaraiosis: Epidemiology, Imaging, Risk Factors, and Management of Age-Related Cerebral White Matter Hyperintensities. J. Stroke, 2024; 26: 131-163","DOI":"10.5853\/jos.2023.02719"},{"key":"43","doi-asserted-by":"crossref","unstructured":"43) Han F, Zhai F-F, Wang Q, Zhou L-X, Ni J, Yao M, Li M-L, Zhang S-Y, Cui L-Y, Jin Z-Y, Zhu Y-C: Prevalence and Risk Factors of Cerebral Small Vessel Disease in a Chinese Population-Based Sample. J. Stroke, 2018; 20: 239-246","DOI":"10.5853\/jos.2017.02110"},{"key":"44","doi-asserted-by":"crossref","unstructured":"44) Ke D, Zhou F, Liang H, Xu Y, Lou H: Hypertriglyceridemia Is Associated with Reduced Leukoaraiosis Severity in Patients with a Small Vessel Stroke. Behav. Neurol., 2018; 2018: 1361780","DOI":"10.1155\/2018\/1361780"},{"key":"45","doi-asserted-by":"crossref","unstructured":"45) Ohwaki K, Yano E, Tamura A, Inoue T, Saito I: Hypercholesterolemia Is Associated with a Lower Risk of Cerebral Ischemic Small Vessel Disease Detected on Brain Checkups. Clin. Neurol. Neurosurg., 2013; 115: 669-672","DOI":"10.1016\/j.clineuro.2012.07.025"},{"key":"46","doi-asserted-by":"crossref","unstructured":"46) Longstreth W T, Arnold A M, Beauchamp N J, Manolio T A, Lefkowitz D, Jungreis C, Hirsch C H, O\u2019Leary D H, Furberg C D: Incidence, Manifestations, and Predictors of Worsening White Matter on Serial Cranial Magnetic Resonance Imaging in the Elderly: The Cardiovascular Health Study. Stroke, 2005; 36: 56-61","DOI":"10.1161\/01.STR.0000149625.99732.69"},{"key":"47","doi-asserted-by":"crossref","unstructured":"47) Sudre C H, Smith L, Atkinson D, Chaturvedi N, Ourselin S, Barkhof F, Hughes A D, J\u00e4ger H R, Cardoso M J: Cardiovascular Risk Factors and White Matter Hyperintensities: Difference in Susceptibility in South Asians Compared With Europeans. J. Am. Heart Assoc., 2018; 7: e010533","DOI":"10.1161\/JAHA.118.010533"},{"key":"48","doi-asserted-by":"crossref","unstructured":"48) Hilal S, Mok V, Youn Y C, Wong A, Ikram M K, Chen C L-H: Prevalence, Risk Factors and Consequences of Cerebral Small Vessel Diseases: Data from Three Asian Countries. J. Neurol. Neurosurg. Psychiatry, 2017; 88: 669-674","DOI":"10.1136\/jnnp-2016-315324"},{"key":"49","doi-asserted-by":"crossref","unstructured":"49) Habes M, Erus G, Toledo J B, Zhang T, Bryan N, Launer L J, Rosseel Y, Janowitz D, Doshi J, Van der Auwera S, von Sarnowski B, Hegenscheid K, Hosten N, Homuth G, V\u00f6lzke H, Schminke U, Hoffmann W, Grabe H J, Davatzikos C: White Matter Hyperintensities and Imaging Patterns of Brain Ageing in the General Population. Brain J. Neurol., 2016; 139: 1164-1179","DOI":"10.1093\/brain\/aww008"},{"key":"50","doi-asserted-by":"crossref","unstructured":"50) Caligiuri M E, Perrotta P, Augimeri A, Rocca F, Quattrone A, Cherubini A: Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review. Neuroinformatics, 2015; 13: 261-276","DOI":"10.1007\/s12021-015-9260-y"},{"key":"51","doi-asserted-by":"crossref","unstructured":"51) Dadar M, Maranzano J, Ducharme S, Carmichael O T, Decarli C, Collins D L, Alzheimer\u2019s Disease Neuroimaging Initiative: Validation of T1w-Based Segmentations of White Matter Hyperintensity Volumes in Large-Scale Datasets of Aging. Hum. Brain Mapp., 2018; 39: 1093-1110","DOI":"10.1002\/hbm.23894"}],"container-title":["Journal of Atherosclerosis and Thrombosis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/jat\/33\/8\/33_65993\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T04:49:18Z","timestamp":1785559758000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/jat\/33\/8\/33_65993\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,1]]},"references-count":51,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2026]]}},"URL":"https:\/\/doi.org\/10.5551\/jat.65993","relation":{},"ISSN":["1340-3478","1880-3873"],"issn-type":[{"value":"1340-3478","type":"print"},{"value":"1880-3873","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,1]]},"article-number":"65993"}}