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Chapter 1 - Pathophysiology & Epidemiology

Published online by Cambridge University Press:  16 June 2018

Vladimir Hachinski
Affiliation:
University of Western Ontario
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Publisher: Cambridge University Press
Print publication year: 2018

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References

Hachinski, VC, Lassen, NA, Marshall, J. Multi-infarct dementia: a cause of mental deterioration in the elderly. Lancet 1974;2:207210.Google Scholar
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. Neurol. 1983;34:939939.CrossRefGoogle Scholar
Paulson, OB. Blood-brain barrier, brain metabolism and cerebral blood flow. Eur Neuropsychopharmacol: J Eur Coll Neuropsychopharmacol. 2002;12:495501.CrossRefGoogle ScholarPubMed
Gilkes, CE, Whitfield, PC. Intracranial pressure and cerebral blood flow: a pathophysiological and clinical perspective. Surg. 2009;27:139134.Google Scholar
Ito, H, Kanno, I, Fukuda, H. Human cerebral circulation: positron emission tomography studies. Ann Nucl Med. 2009;19(2):65-74.CrossRefGoogle Scholar
Akers, D, Sherbondy, A, Mackenzie, R, Dougherty, R, Wandell, B. Exploration of the brain’s white matter pathways with dynamic queries. In: IEEE Visualization 2004 IEEE Comput. Soc. 2003; 377384.Google Scholar
Zhang, K, Sejnowski, TJ. A universal scaling law between gray matter and white matter of cerebral cortex. Proc Natl Acad Sci United States Am. 2000;97:56215626.CrossRefGoogle ScholarPubMed
Guan, T, Kong, J. Functional regeneration of the brain: white matter matters. Neural Regen Res. 2015;10:355356.Google Scholar
Hinman, JD, Abraham, CR. What’s behind the decline? The role of white matter in brain aging. Neurochem Res. 2007;32:20232031.CrossRefGoogle ScholarPubMed
Reich, T, Rusinek, H. Cerebral cortical and white matter reactivity to carbon dioxide. Stroke. 1989;20:453357.Google Scholar
Ito, H, Kanno, I, Fukuda, H. Human cerebral circulation: positron emission tomography studies. Ann Nucl Med. 2005;19:6574.Google Scholar
Matsushita, K, Kuriyama, Y, Nagatsuka, K, Nakamura, M, Sawada, T, Omae, T. Periventricular white matter lucency and cerebral blood flow autoregulation in hypertensive patients. Hypertens. 1994;23:565–8.Google Scholar
Prins, ND, van Dijk, EJ, den Heijer, T, et al. Cerebral white matter lesions and the risk of dementia. Arch Neurol. 2004;61:15311534.Google Scholar
Ballabh, P, Braun, A, Nedergaard, M. The blood-brain barrier: an overview: structure, regulation, and clinical implications. Neurobiol Dis. 2004;16:113.CrossRefGoogle ScholarPubMed
Hawkins, BT, Davis, TP. The blood-brain barrier/neurovascular unit in health and disease. Pharmacol Rev. 2005;57:173185.Google Scholar
Butt, AM, Jones, HC, Abbott, NJ. Electrical resistance across the blood-brain barrier in anaesthetized rats: a developmental study. J Physiol. 1990;429:4762.CrossRefGoogle ScholarPubMed
Kniesel, U, Wolburg, H. Tight junctions of the blood-brain barrier. Cell Mol Neurobiol. 2000;20:5776.CrossRefGoogle ScholarPubMed
Abbott, NJ. Astrocyte-endothelial interactions and blood-brain barrier permeability. J Anat. 2002;200(6):629-638.Google Scholar
Bell, RD, Winkler, EA, Sagare, AP, et al. Pericytes control key neurovascular functions and neuronal phenotype in the adult brain and during brain aging. Neuron. 2010;68:409427.Google Scholar
McCaffrey, G, Davis, TP. Physiology and pathophysiology of the blood-brain barrier: P-glycoprotein and occludin trafficking as therapeutic targets to optimize central nervous system drug delivery. J Investig Med : Off Publ Am Fed Clin Res. 2012;60:11311140.CrossRefGoogle ScholarPubMed
Iliff, JJ, Wang, M, Liao, Y, et al. A paravascular pathway facilitates CSF flow through the brain parenchyma and the clearance of interstitial solutes, including amyloid β. Sci Transl Med. 2012;4.Google Scholar
Iliff, JJ, Nedergaard, M. Is there a cerebral lymphatic system? Stroke. 2013;44:S93S95.Google Scholar
Kirkness, CJ. Cerebral blood flow monitoring in clinical practice. AACN Clin issues. 2005 16:476487.Google Scholar
Willie, CK, Tzeng, Y-C, Fisher, JA, Ainslie, PN. Integrative regulation of human brain blood flow. J Physiol. 2014;592:841859.Google Scholar
Elias, MF, D’Agostino, RB, Elias, PK, Wolf, PA. Neuropsychological test performance, cognitive functioning, blood pressure, and age: the Framingham Heart Study. Exp Aging Res. 1995;21:369391.Google Scholar
Waldemar, G, Hasselbalch, SG, Andersen, AR, et al. 99mTc-d,l-HMPAO and SPECT of the brain in normal aging. J Cereb Blood Flow Metab : Off J Int Soc Cereb Blood Flow Metab [Internet]. 1991 May 1 [cited 1991 May 1];11:508521.Google Scholar
Marchal, G, Rioux, P, Petit-Taboué, MC, et al. Regional cerebral oxygen consumption, blood flow, and blood volume in healthy human aging. Arch Neurol. 1992;49:10131020.CrossRefGoogle ScholarPubMed
Kashimada, A, Machida, K, Honda, N, et al. Measurement of cerebral blood flow with two-dimensional cine phase-contrast mR imaging: evaluation of normal subjects and patients with vertigo. Radiat Med. 1995;13:95102.Google ScholarPubMed
Buijs, PC, Krabbe-Hartkamp, MJ, Bakker, CJ, et al. Effect of age on cerebral blood flow: measurement with ungated two-dimensional phase-contrast MR angiography in 250 adults. Radiology. 1998;209:667674.CrossRefGoogle ScholarPubMed
Parkes, LM, Rashid, W, Chard, DT, Tofts, PS. Normal cerebral perfusion measurements using arterial spin labeling: reproducibility, stability, and age and gender effects. Magn Reson Med. 2004;51:736743.CrossRefGoogle ScholarPubMed
Shin, W, Horowitz, S, Ragin, A, Chen, Y, Walker, M, Carroll, TJ. Quantitative cerebral perfusion using dynamic susceptibility contrast MRI: evaluation of reproducibility and age- and gender-dependence with fully automatic image postprocessing algorithm. Magn Reson Med. 2007;58:1232–41.Google Scholar
Funahashi, S, Andreau, JM. Prefrontal cortex and neural mechanisms of executive function. J Physiol Paris. 2013;107:471482.Google Scholar
Salthouse, TA. Theoretical Perspectives on Cognitive Aging. New York, NY: Psychology Press; 2015.Google Scholar
Buckner, RL. Memory and executive function in aging and AD. Neuron. 2004;44:195208.Google Scholar
Cabeza, R, Anderson, ND, Locantore, JK, McIntosh, AR. Aging gracefully: compensatory brain activity in high-performing older adults. NeuroImage. 2002;17:13941402.Google Scholar
Kanai, R, Rees, G. The structural basis of inter-individual differences in human behaviour and cognition. Nat Rev Neurosci. 2011;12:231242.CrossRefGoogle ScholarPubMed
Bastin, C, Yakushev, I, Bahri, MA, et al. Cognitive reserve impacts on inter-individual variability in resting-state cerebral metabolism in normal aging. NeuroImage. 2012;63:713722.Google Scholar
Williams, BR, Hultsch, DF, Strauss, EH, Hunter, MA, Tannock, R. Inconsistency in reaction time across the life span. Neuropsychology [Internet]. 2005 Jan 1 [cited 2005 Jan 1];19:8896.Google Scholar
Rabbitt, P, Osman, P, Moore, B, Stollery, B. There are stable individual differences in performance variability, both from moment to moment and from day to day. Q J Exp Psychol Hum Exp Psychol. 2001;54:9811003.Google Scholar
Rabbitt, P, Osman, P, Moore, B, Stollery, B. There are stable individual differences in performance variability, both from moment to moment and from day to day. Q J Exp Psychol Sect. 2001;54:9811003.Google Scholar
Fuentes, K, Hunter, MA, Strauss, E, Hultsch, DF. Intraindividual variability in cognitive performance in persons with chronic fatigue syndrome. Clin Neuropsychol. 2001;15:210227.Google Scholar
Bielak, AAM, Hultsch, DF, Strauss, E, Macdonald, SWS, Hunter, MA. Intraindividual variability in reaction time predicts cognitive outcomes 5 years later. Neuropsychology. 2010;24:731741.Google Scholar
West, R, Murphy, KJ, Armilio, ML, Craik, FIM, Stuss, DT. Lapses of intention and performance variability reveal age-related increases in fluctuations of executive control. Brain Cogn. 2002;49:402419.Google Scholar
Jackson, JD, Balota, DA, Duchek, JM, Head, D. White matter integrity and reaction time intraindividual variability in healthy aging and early-stage Alzheimer disease. Neuropsychologia. 2012;50:357366.Google Scholar
Deary, IJ, Pattie, A, Starr, JM. The stability of intelligence from age 11 to age 90 years: the Lothian birth cohort of 1921. Psychol Sci. 2013;24:23612368.CrossRefGoogle ScholarPubMed
Gur, RC, Turetsky, BI, Matsui, M, et al. Sex differences in brain gray and white matter in healthy young adults: correlations with cognitive performance. J Neurosci : Off J Soc Neurosci. 1999;19:40654072.CrossRefGoogle ScholarPubMed
Paus, T. Sex differences in the human brain: a developmental perspective. Prog Brain Res. 2009 ;186:1328.CrossRefGoogle Scholar
Kang, HJ, Kawasawa, YI, Cheng, F, et al. Spatio-temporal transcriptome of the human brain. Nature. 2011;478:483489.CrossRefGoogle ScholarPubMed
De Vries, GJ, Rissman, EF, Simerly, RB, et al. A model system for study of sex chromosome effects on sexually dimorphic neural and behavioral traits. J Neurosci : Off J Soc Neurosci. 2002;22:90059014.Google Scholar
Lenz, KM, Nugent, BM, Haliyur, R, McCarthy, MM. Microglia are essential to masculinization of brain and behavior. J Neurosci : Off J Soc Neurosci. 2013;33:27612772.Google Scholar
Becker, JB, Arnold, AP, Berkley, KJ, et al. Strategies and methods for research on sex differences in brain and behavior. Endocrinology. 2005;146:16501673.CrossRefGoogle ScholarPubMed
Viveros, M-P, Mendrek, A, Paus, T, et al. A comparative, developmental, and clinical perspective of neurobehavioral sexual dimorphisms. Front Neurosci. 2012;6:84.Google Scholar
Ruigrok, ANV, Salimi-Khorshidi, G, Lai, M-C, et al. A meta-analysis of sex differences in human brain structure. Neurosci & Biobehav Rev. 2013;39:3450.Google Scholar
Guo, JY, Isohanni, M, Miettunen, J, et al. Brain structural changes in women and men during midlife. Neurosci Lett. 2016;615:107112.Google Scholar
Gur, RC, Gur, RE, Obrist, WD, Skolnick, BE, Reivich, M. Age and regional cerebral blood flow at rest and during cognitive activity. Arch Gen Psychiatry. 1987;44:617621.CrossRefGoogle ScholarPubMed
Rootwelt, K, Dybevold, S, Nyberg-Hansen, R, Russell, D. Measurement of cerebral blood flow with 133Xe inhalation and dynamic single photon emission computer tomography. Normal values. Scand J Clin Lab Investig Suppl. 1985;184:97105.Google Scholar
Rodriguez, G, Warkentin, S, Risberg, J, Rosadini, G. Sex differences in regional cerebral blood flow. J Cereb Blood Flow Metab : Off J Int Soc Cereb Blood Flow Metab. 1988;8:783789.Google Scholar
Speck, O, Ernst, T, Braun, J, Koch, C, Miller, E, Chang, L. Gender differences in the functional organization of the brain for working memory. Neuroreport. 2000;11:25812585.Google Scholar
Herlitz, A, Airaksinen, E, Nordström, E. Sex differences in episodic memory: the impact of verbal and visuospatial ability. Neuropsychology. 1999;13:590597.Google Scholar
Lewin, C, Wolgers, G, Herlitz, A. Sex differences favoring women in verbal but not in visuospatial episodic memory. Neuropsychology. 2001;15:165173.Google Scholar
Zaccai, J, Ince, P, Brayne, C. Population-based neuropathological studies of dementia: design, methods and areas of investigation: a systematic review. BMC Neurol. 2006;6:2.Google Scholar
Chui, HC, Mack, W, Jackson, JE, et al. Clinical criteria for the diagnosis of vascular dementia: a multicenter study of comparability and interrater reliability. Arch Neurol. 2000;57:191196.CrossRefGoogle ScholarPubMed
Pohjasvaara, T, Mantyla, R, Ylikoski, R, Kaste, M, Erkinjuntti, T. Comparison of different clinical criteria (DSM-III, ADDTC, ICD-10, NINDS-AIREN, DSM-IV) for the diagnosis of vascular dementia. Stroke. 2000;31.Google Scholar
Gold, G, Giannakopoulos, P, Montes-Paixao Júnior, C, et al. Sensitivity and specificity of newly proposed clinical criteria for possible vascular dementia. Neurology. 1997;49:690694.Google Scholar
Knopman, DS, Parisi, JE, Boeve, BF, et al. Vascular dementia in a population-based autopsy study. Arch Neurol. 2003;60:569575.Google Scholar
Bacchetta, J-P, Kövari, E, Merlo, M, et al. Validation of clinical criteria for possible vascular dementia in the oldest-old. Neurobiol Aging. 2007;28:579585.Google Scholar
Kalaria, RN, Maestre, GE, Arizaga, R, et al., World Federation of Neurology Dementia Research Group: Alzheimer’s disease and vascular dementia in developing countries: prevalence, management, and risk factors. Lancet Neurol. 2008;7:812826.Google Scholar
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. 1974;12:189198.Google Scholar
Pendlebury, ST, Cuthbertson, FC, Welch, SJV, Mehta, Z, Rothwell, PM. Underestimation of cognitive impairment by mini-mental state examination versus the Montreal cognitive assessment in patients with transient ischemic attack and stroke: a population-based study. Stroke. 2009;41:12901293.Google Scholar
Mendez, MF, Cherrier, MM, Perryman, KM. Differences between Alzheimer’s disease and vascular dementia on information processing measures. Brain Cogn. 1997;34:301310.Google Scholar
Toledo, JB, Arnold, SE, Raible, K, et al. Contribution of cerebrovascular disease in autopsy confirmed neurodegenerative disease cases in the National Alzheimer’s Coordinating Centre. Brain : J Neurol. 2013;136:26972706.Google Scholar
Chan, E, Khan, S, Oliver, R, Gill, SK, Werring, DJ, Cipolotti, L. Underestimation of cognitive impairments by the Montreal Cognitive Assessment (MoCA) in an acute stroke unit population. J Neurol Sci. 2014;343:176179.Google Scholar
Hachinski, V, Iadecola, C, Petersen, RC, et al. National Institute of Neurological Disorders and Stroke-Canadian Stroke Network vascular cognitive impairment harmonization standards. Stroke; J Cereb Circ. 2005;37:22202241.CrossRefGoogle Scholar
Sachdev, PS, Brodaty, H, Valenzuela, MJ, et al. The neuropsychological profile of vascular cognitive impairment in stroke and TIA patients. Neurology. 2004;62:912919.Google Scholar
Nordlund, A, Rolstad, S, Klang, O, Lind, K, Hansen, S, Wallin, A. Cognitive profiles of mild cognitive impairment with and without vascular disease. Neuropsychology. 2007;21:706712.CrossRefGoogle ScholarPubMed
Laukka, EJ, Jones, S, Small, BJ, Fratiglioni, L, Bäckman, L. Similar patterns of cognitive deficits in the preclinical phases of vascular dementia and Alzheimer’s disease. J Int Neuropsychol Soc : JINS. 2004;10:382391.CrossRefGoogle ScholarPubMed
Bäckman, L, Small, BJ. Cognitive deficits in preclinical Alzheimer’s disease and vascular dementia: patterns of findings from the Kungsholmen Project. Physiol & Behav. 2007;92:8086.Google Scholar
Firbank, MJ, Burton, EJ, Barber, R, et al. Medial temporal atrophy rather than white matter hyperintensities predict cognitive decline in stroke survivors. Neurobiol Aging. 2007;28:16641669.Google Scholar
Schneider, JA, Arvanitakis, Z, Bang, W, Bennett, DA. Mixed brain pathologies account for most dementia cases in community-dwelling older persons. Neurology. 2007;69:21972204.Google Scholar
Schneider, JA, Aggarwal, NT, Barnes, L, Boyle, P, Bennett, DA. The neuropathology of older persons with and without dementia from community versus clinic cohorts. J Alzheimer’s Dis. 2008;18:691701.Google Scholar
Bowler, JV, Munoz, DG, Merskey, H, Hachinski, V. Fallacies in the pathological confirmation of the diagnosis of Alzheimer’s disease. J Neurol Neurosurgery, Psychiatry. 1998;64:1824.Google Scholar
Pantoni, L, Palumbo, V, Sarti, C. Pathological lesions in vascular dementia. Ann New York Acad Sci. 2002;977:279291.CrossRefGoogle ScholarPubMed
Grinberg, LT, Heinsen, H. Toward a pathological definition of vascular dementia. J Neurol Sci. 2010;299:136138.Google Scholar
Hachinski, VC, Potter, P, Merskey, H. Leuko-araiosis: an ancient term for a new problem. Can J Neurol Sci Le J Can des Sci Neurol. 1986;13:533534.Google Scholar
Pantoni, L. Cerebral small vessel disease: from pathogenesis and clinical characteristics to therapeutic challenges. Lancet Neurol. 2010;9:689701.Google Scholar
Launer, LJ, Berger, K, Breteler, MMB, et al. Regional variability in the prevalence of cerebral white matter lesions: an MRI study in 9 European countries (CASCADE). Neuroepidemiology. 2006;26:2329.Google Scholar
Alexopoulos, GS, Meyers, BS, Young, RC, Campbell, S, Silbersweig, D, Charlson, M. “Vascular depression” hypothesis. Arch Gen Psychiatry. 1997;54:915922.CrossRefGoogle ScholarPubMed
Taylor, WD, Aizenstein, HJ, Alexopoulos, GS. The vascular depression hypothesis: mechanisms linking vascular disease with depression. Mol Psychiatry. 2013;18:963974.Google Scholar
Bansil, S, Prakash, N, Kaye, J, et al. Movement disorders after stroke in adults: a review. Tremor Other hyperkinetic Movements. 2012;2.Google Scholar
Van der Holst, HM, van Uden, IWM, Tuladhar, AM, et al. Cerebral small vessel disease and incident parkinsonism: The RUN DMC study. Neurology. 2015;85:15691577.CrossRefGoogle ScholarPubMed
Luca, CC, Parkinsonism, Rundek T., Small vessel disease, and white matter disease: is there a link? Neurology. 2015;85:15321533.Google Scholar
Román, GC. Vascular dementia may be the most common form of dementia in the elderly. J Neurol Sci. 2002;203204:710.Google Scholar
Román, GC, Royall, DR. Executive control function: a rational basis for the diagnosis of vascular dementia. Alzheimer Dis & Assoc Disord. 1999;13.Google Scholar
Pohjasvaara, T, Leskelä, M, Vataja, R, et al. Post-stroke depression, executive dysfunction and functional outcome. Eur J Neurol. 2002;9:269275.Google Scholar
Hachinski, VC, Bowler, JV. Vascular dementia. Neurology. 1993;43:21592160; author reply 2160–1.Google Scholar
Hachinski, V. Vascular dementia: a radical redefinition. Dement. 1994;5:130132.Google Scholar
Vermeer, SE, Longstreth, WT, Koudstaal, PJ. Silent brain infarcts: a systematic review. Lancet Neurol. 2007;6:611619.Google Scholar
Hachinski, V. Preventable senility: a call for action against the vascular dementias. Lancet. 1992;340:645648.Google Scholar
Sörös, P, Whitehead, S, Spence, JD, Hachinski, V. Antihypertensive treatment can prevent stroke and cognitive decline. Nat Rev Neurol. 2013;9:174178.Google Scholar
Brookmeyer, R, Johnson, E, Ziegler-Graham, K, Arrighi, HM. Forecasting the global burden of Alzheimer’s disease. Alzheimer’s & Dement : J Alzheimer’s Assoc. 2007;3:186191.Google Scholar
Seshadri, S, Beiser, A, Kelly-Hayes, M, et al. The lifetime risk of stroke: estimates from the Framingham Study. Stroke. 2006;37:345350.Google Scholar
Feigin, VL, Lawes, CMM, Bennett, DA, Barker-Collo, SL, Parag, V. Worldwide stroke incidence and early case fatality reported in 56 population-based studies: a systematic review. Lancet Neurol. 2009;8:355369.Google Scholar
Azarpazhooh, MR, Etemadi, MM, Donnan, GA, et al. 2010. Excessive incidence of stroke in Iran: evidence from the Mashhad Stroke Incidence Study (MSIS), a population-based study of stroke in the Middle East. Stroke. 2010 Jan 19;41:e3e10.Google Scholar
Alzheimer’s Association A. 2013 Alzheimer’s disease facts and figures. Alzheimer’s & Dement. 2012;9:208245.Google Scholar
Matthews, FE, Arthur, A, Barnes, LE, et al., Medical Research Council Cognitive Function and Ageing Collaboration: a two-decade comparison of prevalence of dementia in individuals aged 65 years and older from three geographical areas of England: results of the Cognitive Function and Ageing Study I and II. Lancet. 2013;382:14051412.Google Scholar
Prince, M, Bryce, R, Albanese, E, Wimo, A, Ribeiro, W, Ferri, CP. The global prevalence of dementia: a systematic review and metaanalysis. Alzheimer’s & Dement : J Alzheimer’s Assoc. 2013;9:6375.e2.Google Scholar
Rodriguez, JJL, Ferri, CP, Acosta, D, et al. Prevalence of dementia in Latin America, India, and China: a population-based cross-sectional survey. Lancet. 2007;372:464474.Google Scholar
Ferri, CP, Prince, M, Brayne, C, et al. Global prevalence of dementia: a Delphi consensus study. Lancet. 2005;366.Google Scholar
Leys, D, Pasquier, F, Parnetti, L. Epidemiology of vascular dementia. Haemostasis. 1998;28:134150.Google Scholar
Rizzi, L, Rosset, I, Roriz-Cruz, M. Global epidemiology of dementia: Alzheimer’s and vascular types. BioMed Res Int . 2014;1-8.Google Scholar
Lobo, A, Launer, LJ, Fratiglioni, L, et al. Prevalence of dementia and major subtypes in Europe: a collaborative study of population-based cohorts. Neurologic Diseases in the Elderly Research Group. Neurology. 1999;54:S4S9.Google Scholar
Ikeda, M, Hokoishi, K, Maki, N, et al. Increased prevalence of vascular dementia in Japan: a community-based epidemiological study. Neurology. 2001;57:839844.Google Scholar
Zhang, Y, Xu, Y, Nie, H, et al. Prevalence of dementia and major dementia subtypes in the Chinese populations: a meta-analysis of dementia prevalence surveys, 1980–2010. J Clin Neurosci : Off J Neurosurg Soc Australas. 2012;19:13331337.Google Scholar
Pendlebury, ST, Rothwell, PM. Prevalence, incidence, and factors associated with pre-stroke and post-stroke dementia: a systematic review and meta-analysis. Lancet Neurol. 2009;8:10061018.Google Scholar
Levine, DA, Galecki, AT, Langa, KM, et al. Trajectory of cognitive decline after incident stroke. JAMA. 2015;314:4151.Google Scholar
Savva, GM, Stephan, BCM, Alzheimer’s Society Vascular Dementia Systematic Review Group: epidemiological studies of the effect of stroke on incident dementia: a systematic review. Stroke. 2010;41:e41e46.Google Scholar
Sposato, LA, Kapral, MK, Fang, J, et al. Declining incidence of stroke and dementia: coincidence or prevention opportunity? JAMA Neurol. 2015;72:15291531.Google Scholar
Hachinski, V, Sposato, LA. Dementia: from muddled diagnoses to treatable mechanisms. Brain : J Neurol. 2013;136:26522654.CrossRefGoogle ScholarPubMed
Gorelick, PB, Scuteri, A, Black, SE, et al., American Heart Association Stroke Council, Council on Epidemiology and Prevention, Council on Cardiovascular Nursing, Council on Cardiovascular Radiology and Intervention, and Council on Cardiovascular Surgery and Anesthesia: Vascular contributions to cognitive impairment and dementia: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2011;42:26722713.Google Scholar
Solomon, A, Mangialasche, F, Richard, E, et al. Advances in the prevention of Alzheimer’s disease and dementia. J Intern Med. 2014;275:229250.Google Scholar
Román, GC. Stroke, cognitive decline and vascular dementia: the silent epidemic of the 21st century. Neuroepidemiology. 2002;22 (3):161164.Google Scholar
Launer, LJ, Petrovitch, H, Ross, GW, Markesbery, W, White, LR. AD brain pathology: vascular origins? Results from the HAAS autopsy study. Neurobiol Aging. 2008;29:15871590.Google Scholar
Iturria-Medina, Y, Sotero, RC, Toussaint, PJ, Evans, AC, Alzheimer’s Disease Neuroimaging Initiative: Epidemic spreading model to characterize misfolded proteins propagation in aging and associated neurodegenerative disorders. PLoS Comput Biol. 2014;10 (11): e1003956.Google Scholar
Li, L, Zhang, X, Yang, D, Luo, G, Chen, S, Le, W. Hypoxia increases Abeta generation by altering beta- and gamma-cleavage of APP. Neurobiol Aging. 2009; 30:10911098.Google Scholar
Bell, RD, Zlokovic, BV. Neurovascular mechanisms and blood-brain barrier disorder in Alzheimer’s disease. Acta Neuropathol. 2009;118:103113.Google Scholar
Iadecola, C. Cerebrovascular effects of amyloid-beta peptides: mechanisms and implications for Alzheimer’s dementia. Cell Mol Neurobiol. 2003;23:681689.Google Scholar

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