Cognitive state following stroke: The predominant role of preexisting white matter lesions

PLoS ONE

Volumn 9, Issue 8, 2014, Pages

  Kliper, Efrat ^a,b   Ben Assayag, Einor ^a   Tarrasch, Ricardo ^b   Artzi, Moran ^a,b   Korczyn, Amos D ^b   Shenhar Tsarfaty, Shani ^a   Aizenstein, Orna ^a   Hallevi, Hen ^a   Mike, Anat ^a   Shopin, Ludmila ^a   Bornstein, Natan M ^a,b   Ben Bashat, Dafna ^a,b  

^a TEL AVIV SOURASKY MEDICAL CENTER   (Israel)

^b TEL AVIV UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGE; AGED; ANALYSIS OF COVARIANCE; ANALYSIS OF VARIANCE; APTITUDE TEST; ARTICLE; BRAIN INFARCTION; BRAIN SIZE; CEREBROVASCULAR ACCIDENT; COGNITION; COHORT ANALYSIS; COMPUTER PROGRAM; CONTROLLED STUDY; CORRELATION COEFFICIENT; DEMOGRAPHY; DISEASE SEVERITY; EDUCATION; EXECUTIVE FUNCTION; FEMALE; FRAMINGHAM STROKE RISK PROFILE SCORE; GENDER; GLOBAL COGNITIVE SCORE; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; MALE; MEMORY; MULTIPLE LINEAR REGRESSION ANALYSIS; NEUROPSYCHOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; ONSET AGE; PREDICTION; PROSPECTIVE STUDY; RATING SCALE; RISK FACTOR; SCORING SYSTEM; STRUCTURAL EQUATION MODELING; TRANSIENT ISCHEMIC ATTACK; VISUAL STIMULATION; WHITE MATTER; WHITE MATTER LESION; BRAIN; COGNITION DISORDERS; COMPLICATION; MIDDLE AGED; MYELINATED NERVE; NEUROPSYCHOLOGICAL TEST; PATHOLOGY;

AGED; BRAIN; COGNITION; COGNITION DISORDERS; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; NERVE FIBERS, MYELINATED; NEUROPSYCHOLOGICAL TESTS; PROSPECTIVE STUDIES; STROKE; WHITE MATTER;

EID: 84930820346     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0105461     Document Type: Article

References (54)

1. Makin SD, Turpin S, Dennis MS, Wardlaw JM (2013) Cognitive impairment after lacunar stroke: systematic review and meta-analysis of incidence, prevalence and comparison with other stroke subtypes. J Neurol Neurosurg Psychiatry 84: 893-900.
2. Bornstein NM, Gur AY, Treves TA, Reider-Groswasser I, Aronovich BD, et al. (1996) Do silent brain infarctions predict the development of dementia after first ischemic stroke? Stroke 27: 904-905.
3. Ivan CS, Seshadri S, Beiser A, Au R, Kase CS, et al. (2004) Dementia after stroke: the Framingham Study. Stroke 35: 1264-1268. (Pubitemid 38697439)
4. Pendlebury ST (2009) Stroke-related dementia: rates, risk factors and implications for future research. Maturitas 64: 165-171.
5. Pendlebury ST, Rothwell PM (2009) Prevalence, incidence, and factors associated with pre-stroke and post-stroke dementia: a systematic review and meta-analysis. Lancet Neurol 8: 1006-1018.
6. Srikanth VK, Quinn SJ, Donnan GA, Saling MM, Thrift AG (2006) Long-term cognitive transitions, rates of cognitive change, and predictors of incident dementia in a population-based first-ever stroke cohort. Stroke 37: 2479-2483. (Pubitemid 44454664)
7. Beloosesky Y, Streifler JY, Burstin A, Grinblat J (1995) The importance of brain infarct size and location in predicting outcome after stroke. Age Ageing 24: 515-518.
8. Ganesan V, Ng V, Chong WK, Kirkham FJ, Connelly A (1999) Lesion volume, lesion location, and outcome after middle cerebral artery territory stroke. Arch Dis Child 81: 295-300. (Pubitemid 29467764)
9. Sachdev PS, Brodaty H, Valenzuela MJ, Lorentz L, Looi JC, et al. (2006) Clinical determinants of dementia and mild cognitive impairment following ischaemic stroke: the Sydney Stroke Study. Dement Geriatr Cogn Disord 21: 275-283. (Pubitemid 43735670)
10. Hoffmann M, Schmitt F (2006) Metacognition in stroke: bedside assessment and relation to location, size, and stroke severity. Cogn Behav Neurol 19: 85-94. (Pubitemid 43932796)
11. Srikanth VK, Anderson JF, Donnan GA, Saling MM, Didus E, et al. (2004) Progressive dementia after first-ever stroke: a community-based follow-up study. Neurology 63: 785-792. (Pubitemid 39297635)
12. Debette S, Markus HS (2010) The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ 341: c3666.
13. Dufouil C, Godin O, Chalmers J, Coskun O, MacMahon S, et al. (2009) Severe cerebral white matter hyperintensities predict severe cognitive decline in patients with cerebrovascular disease history. Stroke 40: 2219-2221.
14. Leys D, Englund E, Del Ser T, Inzitari D, Fazekas F, et al. (1999) White matter changes in stroke patients. Relationship with stroke subtype and outcome. Eur Neurol 42: 67-75. (Pubitemid 29403460)
15. O'Sullivan M (2010) Imaging small vessel disease: lesion topography, networks, and cognitive deficits investigated with MRI. Stroke 41: S154-158.
16. de Groot M, Verhaaren BF, de Boer R, Klein S, Hofman A, et al. (2013) Changes in normal-appearing white matter precede development of white matter lesions. Stroke 44: 1037-1042.
17. Rosenberg GA (2009) Inflammation and white matter damage in vascular cognitive impairment. Stroke 40: S20-23.
18. Bolandzadeh N, Davis JC, Tam R, Handy TC, Liu-Ambrose T (2012) The association between cognitive function and white matter lesion location in older adults: a systematic review. BMC Neurol 12: 126.
19. Ihle-Hansen H, Thommessen B, Fagerland MW, Wyller TB, Engedal K, et al. (2012) Impact of white matter lesions on cognition in stroke patients free from pre-stroke cognitive impairment: a one-year follow-up study. Dement Geriatr Cogn Dis Extra 2: 38-47.
20. Frisoni GB, Galluzzi S, Pantoni L, Filippi M (2007) The effect of white matter lesions on cognition in the elderly - small but detectable. Nat Clin Pract Neurol 3: 620-627. (Pubitemid 350048228)
21. Charlton RA, Barrick TR, McIntyre DJ, Shen Y, O'Sullivan M, et al. (2006) White matter damage on diffusion tensor imaging correlates with age-related cognitive decline. Neurology 66: 217-222. (Pubitemid 43970157)
22. Baune BT (2009) The puzzle of predicting the impact of brain infarcts on cognitive impairment in the aging brain. Stroke 40: 667-669.
23. Vernooij MW, Ikram MA, Vrooman HA, Wielopolski PA, Krestin GP, et al. (2009) White matter microstructural integrity and cognitive function in a general elderly population. Arch Gen Psychiatry 66: 545-553.
24. Maillard P, Fletcher E, Harvey D, Carmichael O, Reed B, et al. (2011) White matter hyperintensity penumbra. Stroke 42: 1917-1922.
25. Kim SH, Park JS, Ahn HJ, Seo SW, Lee JM, et al. (2011) Voxel-based analysis of diffusion tensor imaging in patients with subcortical vascular cognitive impairment: correlates with cognitive and motor deficits. J Neuroimaging 21: 317-324.
26. Mukherjee P (2005) Diffusion tensor imaging and fiber tractography in acute stroke. Neuroimaging Clin N Am 15: 655-665, xii.
27. Yamada K, Sakai K, Akazawa K, Yuen S, Nishimura T (2009) MR tractography: a review of its clinical applications. Magn Reson Med Sci 8: 165-174.
28. Lei P-W, Wu Q (2007) Introduction to Structural Equation Modeling: Issues and Practical Considerations. Educational Measurement: Issues and Practice 26: 33-43.
29. Peek MK (2000) Structural equation modeling and rehabilitation research. Am J Phys Med Rehabil 79: 301-309.
30. Norman G, Streiner D (2003) Path Analysis and StructuralEquation Modeling. PDQ (Pretty Darned Quick) Statistics (3rd Edition). pp. 156-176.
31. Penke L, Deary IJ (2010) Some guidelines for structural equation modelling in cognitive neuroscience: the case of Charlton et al. 's study on white matter integrity and cognitive ageing. Neurobiol Aging 31: 1656-1660; discussion 1561-1656.
32. Ben Assayag E, Korczyn AD, Giladi N, Goldbourt U, Berliner AS, et al. (2012) Predictors for poststroke outcomes: the Tel Aviv Brain Acute Stroke Cohort (TABASCO) study protocol. Int J Stroke 7: 341-347.
33. Wolf PA, D'Agostino RB, Belanger AJ, Kannel WB (1991) Probability of stroke: a risk profile from the Framingham Study. Stroke 22: 312-318.
34. Artzi M, Aizenstein O, Jonas-Kimchi T, Myers V, Hallevi H, et al. (2013) FLAIR lesion segmentation: Application in patients with brain tumors and acute ischemic stroke. Eur J Radiol 82: 1512-1518
35. Fillit HM, Simon ES, Doniger GM, Cummings JL (2008) Practicality of a computerized system for cognitive assessment in the elderly. Alzheimers Dement 4: 14-21.
36. Bartzokis G, Cummings JL, Sultzer D, Henderson VW, Nuechterlein KH, et al. (2003) White matter structural integrity in healthy aging adults and patients with Alzheimer disease: a magnetic resonance imaging study. Arch Neurol 60: 393-398. (Pubitemid 36314365)
37. Englund E, Brun A, Alling C (1988) White matter changes in dementia of Alzheimer's type. Biochemical and neuropathological correlates. Brain 111 (Pt 6): 1425-1439. (Pubitemid 19028461)
38. Leritz EC, Shepel J, Williams VJ, Lipsitz LA, McGlinchey RE, et al. (2013) Associations between T(1) white matter lesion volume and regional white matter microstructure in aging. Hum Brain Mapp. 35(3):1085-100.
39. de Groot JC, de Leeuw FE, Oudkerk M, van Gijn J, Hofman A, et al. (2000) Cerebral white matter lesions and cognitive function: the Rotterdam Scan Study. Ann Neurol 47: 145-151. (Pubitemid 30078560)
40. Gunning-Dixon FM, Raz N (2000) The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. Neuropsychology 14: 224-232.
41. Jacobs HI, Leritz EC, Williams VJ, Van Boxtel MP, van der Elst W, et al. (2013) Association between white matter microstructure, executive functions, and processing speed in older adults: the impact of vascular health. Hum Brain Mapp 34: 77-95.
42. Desmond DW, Moroney JT, Sano M, Stern Y (2002) Incidence of dementia after ischemic stroke: results of a longitudinal study. Stroke 33: 2254-2260. (Pubitemid 35014639)
43. Leys D, Henon H, Mackowiak-Cordoliani MA, Pasquier F (2005) Poststroke dementia. Lancet Neurol 4: 752-759. (Pubitemid 41457291)
44. Valenzuela MJ, Sachdev P (2006) Brain reserve and dementia: a systematic review. Psychol Med 36: 441-454. (Pubitemid 43380997)
45. Radanovic M, Pereira FR, Stella F, Aprahamian I, Ferreira LK, et al. (2013) White matter abnormalities associated with Alzheimer's disease and mild cognitive impairment: a critical review of MRI studies. Expert Rev Neurother 13: 483-493.
46. O'Sullivan M, Jones DK, Summers PE, Morris RG, Williams SC, et al. (2001) Evidence for cortical "disconnection" as a mechanism of age-related cognitive decline. Neurology 57: 632-638. (Pubitemid 32782990)
47. Richard E, Gouw AA, Scheltens P, van Gool WA (2010) Vascular care in patients with Alzheimer disease with cerebrovascular lesions slows progression of white matter lesions on MRI: the evaluation of vascular care in Alzheimer's disease (EVA) study. Stroke 41: 554-556.
48. Maillard P, Carmichael O, Harvey D, Fletcher E, Reed B, et al. (2013) FLAIR and diffusion MRI signals are independent predictors of white matter hyperintensities. AJNR Am J Neuroradiol 34: 54-61.
49. Ropele S, Seewann A, Gouw AA, van der Flier WM, Schmidt R, et al. (2009) Quantitation of brain tissue changes associated with white matter hyperintensities by diffusion-weighted and magnetization transfer imaging: the LADIS (Leukoaraiosis and Disability in the Elderly) study. J Magn Reson Imaging 29: 268-274.
50. Simpson JE, Ince PG, Higham CE, Gelsthorpe CH, Fernando MS, et al. (2007) Microglial activation in white matter lesions and nonlesional white matter of ageing brains. Neuropathol Appl Neurobiol 33: 670-683. (Pubitemid 350076092)
51. Tzourio C, Anderson C, Chapman N, Woodward M, Neal B, et al. (2003) Effects of blood pressure lowering with perindopril and indapamide therapy on dementia and cognitive decline in patients with cerebrovascular disease. Arch Intern Med 163: 1069-1075. (Pubitemid 36548935)
52. Petersen RC, Smith GE, Waring SC, Ivnik RJ, Kokmen E, et al. (1997) Aging, memory, and mild cognitive impairment. Int Psychogeriatr 9 Suppl 1: 65-69. (Pubitemid 28045341)
53. Craik FI, Bialystok E (2006) Cognition through the lifespan: mechanisms of change. Trends Cogn Sci 10: 131-138.
54. Schisterman EF, Cole SR, Platt RW (2009) Overadjustment bias and unnecessary adjustment in epidemiologic studies. Epidemiology 20: 488-495.