Association of white matter lesions and brain atrophy with the development of dementia in a community: the Hisayama Study.


Journal

Psychiatry and clinical neurosciences
ISSN: 1440-1819
Titre abrégé: Psychiatry Clin Neurosci
Pays: Australia
ID NLM: 9513551

Informations de publication

Date de publication:
Jun 2023
Historique:
revised: 05 12 2022
received: 05 10 2022
accepted: 19 01 2023
medline: 2 6 2023
pubmed: 27 1 2023
entrez: 26 1 2023
Statut: ppublish

Résumé

To investigate the association of white matter lesions volume (WMLV) levels with dementia risk and the association between dementia risk and the combined measures of WMLV and either total brain atrophy or dementia-related gray matter atrophy in a general older population. One thousand one hundred fifty-eight Japanese dementia-free community-residents aged ≥65 years who underwent brain magnetic resonance imaging were followed for 5.0 years. WMLV were segmented using the Lesion Segmentation Toolbox. Total brain volume (TBV) and regional gray matter volume were estimated by voxel-based morphometry. The WMLV-to-intracranial brain volume ratio (WMLV/ICV) was calculated, and its association with dementia risk was estimated using Cox proportional hazard models. Total brain atrophy, defined as the TBV-to-ICV ratio (TBV/ICV), and dementia-related regional brain atrophy defined based on our previous report were calculated. The association between dementia risk and the combined measures of WMLV/ICV and either total brain atrophy or the number of atrophied regions was also tested. During the follow-up, 113 participants developed dementia. The risks of dementia increased significantly with higher WMLV/ICV levels. In addition, dementia risk increased additively both in participants with higher WMLV/ICV levels and lower TBV/ICV levels and in those with higher WMLV/ICV levels and a higher number of dementia-related brain regional atrophy. The risk of dementia increased significantly with higher WMLV/ICV levels. An additive increment in dementia risk was observed with higher WMLV/ICV levels and lower TBV/ICV levels or a higher number of dementia-related brain regional atrophy, suggesting the importance of prevention or control of cardiovascular risk factors.

Identifiants

pubmed: 36700514
doi: 10.1111/pcn.13533
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

330-337

Subventions

Organisme : Japan Agency for Medical Research and Development
ID : JP22dk0207053
Organisme : the Health and Labour Sciences Research Grants of the Ministry of Health, Labour and Welfare of Japan
ID : JPMH20FA1002
Organisme : the Ministry of Education, Culture, Sports, Science and Technology of Japan (JSPS KAKENHI)
ID : JP19K07890
Organisme : the Ministry of Education, Culture, Sports, Science and Technology of Japan (JSPS KAKENHI)
ID : JP20K10503
Organisme : the Ministry of Education, Culture, Sports, Science and Technology of Japan (JSPS KAKENHI)
ID : JP20K11020
Organisme : the Ministry of Education, Culture, Sports, Science and Technology of Japan (JSPS KAKENHI)
ID : JP21H03200
Organisme : the Ministry of Education, Culture, Sports, Science and Technology of Japan (JSPS KAKENHI)
ID : JP21K07522
Organisme : the Ministry of Education, Culture, Sports, Science and Technology of Japan (JSPS KAKENHI)
ID : JP21K10448
Organisme : the Ministry of Education, Culture, Sports, Science and Technology of Japan (JSPS KAKENHI)
ID : JP21K11725
Organisme : the Ministry of Education, Culture, Sports, Science and Technology of Japan (JSPS KAKENHI)
ID : JP22K07421
Organisme : the Ministry of Education, Culture, Sports, Science and Technology of Japan (JSPS KAKENHI)
ID : JP22K17396

Informations de copyright

© 2023 The Authors. Psychiatry and Clinical Neurosciences published by John Wiley & Sons Australia, Ltd on behalf of Japanese Society of Psychiatry and Neurology.

Références

Pantoni L. Cerebral small vessel disease: From pathogenesis and clinical characteristics to therapeutic challenges. Lancet Neurol. 2010; 9: 689-701.
Bos D, Wolters FJ, Darweesh SKL et al. Cerebral small vessel disease and the risk of dementia: A systematic review and meta-analysis of population-based evidence. Alzheimers Dement. 2018; 14: 1482-1492.
Scheltens P, Barkhof F, Valk J et al. White matter lesions on magnetic resonance imaging in clinically diagnosed Alzheimer's disease. Evidence for heterogeneity. Brain 1992; 115: 735-748.
Cox SR, Lyall DM, Ritchie SJ et al. Associations between vascular risk factors and brain MRI indices in UK biobank. Eur. Heart J. 2019; 40: 2290-2300.
Gottesman RF, Albert MS, Alonso A et al. Associations between midlife vascular risk factors and 25-year incident dementia in the atherosclerosis risk in communities (ARIC) cohort. JAMA Neurol. 2017; 74: 1246-1254.
Debette S, Beiser A, DeCarli C et al. Association of MRI markers of vascular brain injury with incident stroke, mild cognitive impairment, dementia, and mortality: The Framingham offspring study. Stroke 2010; 41: 600-606.
Ikram MA, Vrooman HA, Vernooij MW et al. Brain tissue volumes in relation to cognitive function and risk of dementia. Neurobiol. Aging 2010; 31: 378-386.
Kaffashian S, Soumaré A, Zhu YC, Mazoyer B, Debette S, Tzourio C. Long-term clinical impact of vascular brain lesions on magnetic resonance imaging in older adults in the population. Stroke 2016; 47: 2865-2869.
Wu A, Sharrett AR, Gottesman RF et al. Association of brain magnetic resonance imaging signs with cognitive outcomes in persons with nonimpaired cognition and mild cognitive impairment. JAMA Netw. Open 2019; 2: e193359.
Kuller LH, Lopez OL, Newman A et al. Risk factors for dementia in the cardiovascular health cognition study. Neuroepidemiology 2003; 22: 13-22.
Prins ND, van Dijk EJ, den Heijer T et al. Cerebral white matter lesions and the risk of dementia. Arch. Neurol. 2004; 61: 1531-1534.
Weinstein G, Wolf PA, Beiser AS, Au R, Seshadri S. Risk estimations, risk factors, and genetic variants associated with Alzheimer's disease in selected publications from the Framingham heart study. J. Alzheimers Dis. 2013; 33: S439-S445.
Meguro K, Ishii H, Kasuya M et al. Incidence of dementia and associated risk factors in Japan: The Osaki-Tajiri project. J. Neurol. Sci. 2007; 260: 175-182.
Frisoni GB, Fox NC, Jack CR Jr, Scheltens P, Thompson PM. The clinical use of structural MRI in Alzheimer disease. Nat. Rev. Neurol. 2010; 6: 67-77.
den Heijer T, Geerlings MI, Hoebeek FE, Hofman A, Koudstaal PJ, Breteler MM. Use of hippocampal and amygdalar volumes on magnetic resonance imaging to predict dementia in cognitively intact elderly people. Arch. Gen. Psychiatry 2006; 63: 57-62.
den Heijer T, van der Lijn F, Koudstaal PJ et al. A 10-year follow-up of hippocampal volume on magnetic resonance imaging in early dementia and cognitive decline. Brain 2010; 133: 1163-1172.
Bernard C, Helmer C, Dilharreguy B et al. Time course of brain volume changes in the preclinical phase of Alzheimer's disease. Alzheimers Dement. 2014; 10: 143-151.e1.
Nakazawa T, Ohara T, Hirabayashi N et al. Multiple-region grey matter atrophy as a predictor for the development of dementia in a community: The Hisayama study. J. Neurol. Neurosurg. Psychiatry 2022; 93: 263-271.
Brickman AM, Honig LS, Scarmeas N et al. Measuring cerebral atrophy and white matter hyperintensity burden to predict the rate of cognitive decline in Alzheimer disease. Arch. Neurol. 2008; 65: 1202-1208.
van der Flier WM, van Straaten EC, Barkhof F et al. Medial temporal lobe atrophy and white matter hyperintensities are associated with mild cognitive deficits in non-disabled elderly people: The LADIS study. J. Neurol. Neurosurg. Psychiatry 2005; 76: 1497-1500.
Ohara T, Hata J, Yoshida D et al. Trends in dementia prevalence, incidence, and survival rate in a Japanese community. Neurology 2017; 88: 1925-1932.
Ohara T, Yoshida D, Hata J et al. Current status of the certification of long-term care insurance among individuals with dementia in a Japanese community: The Hisayama study. Psychiatry Clin. Neurosci. 2021; 75: 182-184.
Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 1975; 12: 189-198.
Wechsler D. Manual for the Wechsler Memory Scale-Revised. The Psychological Corporation, San Antonio, 1987.
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 3rd edn. American Psychiatric Association, Washington, DC, 1987.
Petersen RC, Doody R, Kurz A et al. Current concepts in mild cognitive impairment. Arch. Neurol. 2001; 58: 1985-1992.
McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA work group under the auspices of Department of Health and Human Services Task Force on Alzheimer's disease. Neurology 1984; 34: 939-944.
Román GC, Tatemichi TK, Erkinjuntti T et al. Vascular dementia: Diagnostic criteria for research studies. Report of the NINDS-AIREN international workshop. Neurology 1993; 43: 250-260.
Yamasaki K, Hata J, Furuta Y et al. Association of albuminuria with white matter hyperintensities volume on brain magnetic resonance imaging in elderly Japanese-the Hisayama Study. Circ J. 2020; 84: 935-942.
Tsoi KK, Chan JY, Hirai HW, Wong SY, Kwok TC. Cognitive tests to detect dementia: A systematic review and meta-analysis. JAMA Intern. Med. 2015; 175: 1450-1458.
Snowdon DA, Greiner LH, Mortimer JA, Riley KP, Greiner PA, Markesbery WR. Brain infarction and the clinical expression of Alzheimer disease. The Nun Study. JAMA 1997; 277: 813-817.
Arvanitakis Z, Leurgans SE, Barnes LL, Bennett DA, Schneider JA. Microinfarct pathology, dementia, and cognitive systems. Stroke 2011; 42: 722-727.
Azarpazhooh MR, Avan A, Cipriano LE, Munoz DG, Sposato LA, Hachinski V. Concomitant vascular and neurodegenerative pathologies double the risk of dementia. Alzheimers Dement. 2018; 14: 148-156.
Tarasoff-Conway JM, Carare RO, Osorio RS et al. Clearance systems in the brain-implications for Alzheimer disease. Nat. Rev. Neurol. 2015; 11: 457-470.
Hachinski V, Einhäupl K, Ganten D et al. Preventing dementia by preventing stroke: The Berlin manifesto. Alzheimers Dement. 2019; 15: 961-984.
Ungvari Z, Toth P, Tarantini S et al. Hypertension-induced cognitive impairment: From pathophysiology to public health. Nat. Rev. Nephrol. 2021; 17: 639-654.
Pase MP, Davis-Plourde K, Himali JJ et al. Vascular risk at younger ages most strongly associates with current and future brain volume. Neurology 2018; 91: e1479-e1486.
Grips E, Sedlaczek O, Bäzner H, Fritzinger M, Daffertshofer M, Hennerici M. Supratentorial age-related white matter changes predict outcome in cerebellar stroke. Stroke 2005; 36: 1988-1993.
Nordahl CW, Ranganath C, Yonelinas AP, Decarli C, Fletcher E, Jagust WJ. White matter changes compromise prefrontal cortex function in healthy elderly individuals. J. Cogn. Neurosci. 2006; 18: 418-429.
Reijmer YD, Leemans A, Caeyenberghs K et al. Disruption of cerebral networks and cognitive impairment in Alzheimer disease. Neurology 2013; 80: 1370-1377.
Lawrence AJ, Chung AW, Morris RG, Markus HS, Barrick TR. Structural network efficiency is associated with cognitive impairment in small-vessel disease. Neurology 2014; 83: 304-311.
Tuladhar AM, van Uden IW, Rutten-Jacobs LC et al. Structural network efficiency predicts conversion to dementia. Neurology 2016; 86: 1112-1119.
Bethlehem RAI, Seidlitz J, White SR et al. Brain charts for the human lifespan. Nature 2022; 604: 525-533.
Seeley WW, Crawford RK, Zhou J, Miller BL, Greicius MD. Neurodegenerative diseases target large-scale human brain networks. Neuron 2009; 62: 42-52.
Enzinger C, Fazekas F, Matthews PM et al. Risk factors for progression of brain atrophy in aging: Six-year follow-up of normal subjects. Neurology 2005; 64: 1704-1711.
Fiford CM, Manning EN, Bartlett JW et al. White matter hyperintensities are associated with disproportionate progressive hippocampal atrophy. Hippocampus 2017; 27: 249-262.
Pantoni L, Poggesi A, Basile AM et al. Leukoaraiosis predicts hidden global functioning impairment in nondisabled older people: The LADIS (Leukoaraiosis and disability in the elderly) study. J. Am. Geriatr. Soc. 2006; 54: 1095-1101.
Dunietz GL, Chervin RD, Burke JF, Conceicao AS, Braley TJ. Obstructive sleep apnea treatment and dementia risk in older adults. Sleep 2021; 44: zsab076.
GBD 2019 Dementia Collaborators. The burden of dementia due to Down syndrome, Parkinson's disease, stroke, and traumatic brain injury: A systematic analysis for the Global Burden of Disease Study 2019. Neuroepidemiology 2021; 55: 286-296.
de Leeuw FE, de Groot JC, Oudkerk M et al. Hypertension and cerebral white matter lesions in a prospective cohort study. Brain 2002; 125: 765-772.

Auteurs

Taro Nakazawa (T)

Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Tomoyuki Ohara (T)

Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Naoki Hirabayashi (N)

Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Department of Psychosomatic Medicine, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan.

Yoshihiko Furuta (Y)

Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Jun Hata (J)

Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Mao Shibata (M)

Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Department of Psychosomatic Medicine, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan.
Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Takanori Honda (T)

Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Takanari Kitazono (T)

Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Tomohiro Nakao (T)

Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Toshiharu Ninomiya (T)

Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

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