The association between cognitive function and white matter lesion location in older adults: A systematic review

BMC Neurology

Volumn 12, Issue , 2012, Pages

  Bolandzadeh, Niousha ^a   Davis, Jennifer C ^a   Tam, Roger ^a   Handy, Todd C ^a   Liu Ambrose, Teresa ^a,b,c  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c VANCOUVER COASTAL HEALTH RESEARCH INSTITUTE   (Canada)

Author keywords

Aging; Cognition; Distribution; White matter lesions

Indexed keywords

ANATOMICAL VARIATION; ARTICLE; BRAIN CORTEX; COGNITION; CROSS-SECTIONAL STUDY; DATA BASE; EXECUTIVE FUNCTION; HUMAN; HYPOTHALAMUS PERIVENTRICULAR NUCLEUS; MEMORY; META ANALYSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; OUTCOME ASSESSMENT; QUANTITATIVE ANALYSIS; SCORING SYSTEM; SYSTEMATIC REVIEW; VELOCITY; WHITE MATTER LESION;

AGE FACTORS; AGED; BRAIN; COGNITION DISORDERS; COMORBIDITY; DIFFUSION TENSOR IMAGING; HUMANS; INCIDENCE; LEUKOENCEPHALOPATHIES; MIDDLE AGED; NERVE FIBERS, MYELINATED; RISK FACTORS;

EID: 84867894237     PISSN: None     EISSN: 14712377     Source Type: Journal    
DOI: 10.1186/1471-2377-12-126     Document Type: Article

References (45)

1. Kinsella K. Demographic dimensions of global aging. J Fam Issues 2000, 21(5):541-558.
2. Park DC, Reuter-Lorenz P. The adaptive brain: aging and neurocognitive scaffolding. Annu Rev Psychol 2009, 60:173-196. 10.1146/annurev.psych.59.103006.093656, 3359129, 19035823.
3. Haug H, Eggers R. Morphometry of the human cortex cerebri and corpus striatum during aging. Neurobiol Aging 1991, 12(4):336-338. discussion 352-335, 10.1016/0197-4580(91)90013-A, 1961364.
4. Adolfsson R, Gottfries CG, Roos BE, Winblad B. Post-mortem distribution of dopamine and homovanillic acid in human brain, variations related to age, and a review of the literature. J Neural Transm 1979, 45(2):81-105. 10.1007/BF01250085, 381583.
5. de Keyser J, De Backer JP, Vauquelin G, Ebinger G. The effect of aging on the D1 dopamine receptors in human frontal cortex. Brain Res 1990, 528(2):308-310. 10.1016/0006-8993(90)91672-4, 2148706.
6. Breteler MM, van Swieten JC, Bots ML, Grobbee DE, Claus JJ, van den Hout JH, van Harskamp F, Tanghe HL, de Jong PT, van Gijn J, et al. Cerebral white matter lesions, vascular risk factors, and cognitive function in a population-based study: the rotterdam study. Neurology 1994, 44(7):1246-1252. 10.1212/WNL.44.7.1246, 8035924.
7. Lindgren A, Roijer A, Rudling O, Norrving B, Larsson EM, Eskilsson J, Wallin L, Olsson B, Johansson BB. Cerebral lesions on magnetic resonance imaging, heart disease, and vascular risk factors in subjects without stroke. A population-based study. Stroke 1994, 25(5):929-934. 10.1161/01.STR.25.5.929, 8165686.
8. Kuo HK, Lipsitz LA. Cerebral white matter changes and geriatric syndromes: is there a link?. J Gerontol A Biol Sci Med Sci 2004, 59(8):818-826. 10.1093/gerona/59.8.M818, 15345732.
9. Galluzzi S, Lanni C, Pantoni L, Filippi M, Frisoni GB. White matter lesions in the elderly: pathophysiological hypothesis on the effect on brain plasticity and reserve. J Neurol Sci 2008, 273(1-2):3-9.
10. Frisoni GB, Galluzzi S, Pantoni L, Filippi M. The effect of white matter lesions on cognition in the elderly-small but detectable. Nat Clin Pract Neurol 2007, 3(11):620-627. 10.1038/ncpneuro0638, 17982432.
11. Pantoni L, Garcia JH. Pathogenesis of leukoaraiosis: a review. Stroke 1997, 28(3):652-659. 10.1161/01.STR.28.3.652, 9056627.
12. Jokinen H, Kalska H, Ylikoski R, Madureira S, Verdelho A, Gouw A, Scheltens P, Barkhof F, Visser MC, Fazekas F. MRI-defined subcortical ischemic vascular disease: baseline clinical and neuropsychological findings. Cerebrovasc Dis 2009, 27(4):336-344. 10.1159/000202010, 19218799.
13. Pantoni L. Pathophysiology of age-related cerebral white matter changes. Cerebrovasc Dis 2002, 13(2):7-10. 10.1159/000049143, 11901236.
14. Smith EE, Salat DH, Jeng J, McCreary CR, Fischl B, Schmahmann JD, Dickerson BC, Viswanathan A, Albert MS, Blacker D, et al. Correlations between MRI white matter lesion location and executive function and episodic memory. Neurology 2011, 76(17):1492-1499. 10.1212/WNL.0b013e318217e7c8, 3087468, 21518999.
15. Pantoni L, Poggesi A, Inzitari D. Cognitive decline and dementia related to cerebrovascular diseases: some evidence and concepts. Cerebrovasc Dis 2009, 27(1):191-196. 10.1159/000200459, 19342851.
16. Pantoni L, Poggesi A, Inzitari D. The relation between white-matter lesions and cognition. Curr Opin Neurol 2007, 20(4):390-397. 10.1097/WCO.0b013e328172d661, 17620872.
17. Kim SH, Park JS, Ahn HJ, Seo SW, Lee JM, Kim ST, Han SH, Na DL. Voxel-based analysis of diffusion tensor imaging in patients with subcortical vascular cognitive impairment: correlates with cognitive and motor deficits. J Neuroimaging 2011, 21(4):317-324. 10.1111/j.1552-6569.2010.00527.x, 20977535.
18. Desmond DW. Cognition and white matter lesions. Cerebrovasc Dis 2002, 13(2):53-57. 10.1159/000049151, 11901244.
19. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gotzsche PC, Ioannidis JP, Clarke M, Devereaux PJ, Kleijnen J, Moher D. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. J Clin Epidemiol 2009, 62(10):e1-e34. 10.1016/j.jclinepi.2009.06.006, 19631507.
20. Gunning-Dixon FM, Raz N. The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. Neuropsychology 2000, 14(2):224-232.
21. McClelland RL, Kronmal RA, Bryan RN, Manolio TA, Herskovits E, Kuller LH, O'Leary DH. Neurologic correlates of infarction-like lesion location on magnetic resonance imaging in the cardiovascular health study. J Stroke Cerebrovasc Dis 2000, 9(5):218-228.
22. Filippi M, Falini A, Arnold DL, Fazekas F, Gonen O, Simon JH, Dousset V, Savoiardo M, Wolinsky JS. Magnetic resonance techniques for the in vivo assessment of multiple sclerosis pathology: consensus report of the white matter study group. J Magn Reson Imaging 2005, 21(6):669-675. 10.1002/jmri.20336, 15906322.
23. McAusland J, Tam R, Wong E, Riddehough A, Li D. Optimizing the use of radiologist seed points for improved multiple sclerosis lesion segmentation. IEEE Trans Biomed Eng 2010,
24. de Groot JC, de Leeuw FE, Oudkerk M, van Gijn J, Hofman A, Jolles J, Breteler MM. Cerebral white matter lesions and cognitive function: the rotterdam scan study. Ann Neurol 2000, 47(2):145-151. 10.1002/1531-8249(200002)47:2<145::AID-ANA3>3.0.CO;2-P, 10665484.
25. Shenkin SD, Bastin ME, Macgillivray TJ, Deary IJ, Starr JM, Rivers CS, Wardlaw JM. Cognitive correlates of cerebral white matter lesions and water diffusion tensor parameters in community-dwelling older people. Cerebrovasc Dis 2005, 20(5):310-318. 10.1159/000087930, 16141715.
26. Baune BT, Roesler A, Knecht S, Berger K. Single and combined effects of cerebral white matter lesions and lacunar infarctions on cognitive function in an elderly population. J Gerontol A Biol Sci Med Sci 2009, 64(1):118-124. 2691184, 19164275.
27. Kim JH, Hwang KJ, Lee YH, Rhee HY, Park KC. Regional white matter hyperintensities in normal aging, single domain amnestic mild cognitive impairment, and mild Alzheimer's disease. J Clin Neurosci 2011, 18(8):1101-1106. 10.1016/j.jocn.2011.01.008, 21723730.
28. Silbert LC, Nelson C, Howieson DB, Moore MM, Kaye JA. Impact of white matter hyperintensity volume progression on rate of cognitive and motor decline. Neurology 2008, 71(2):108-113. 10.1212/01.wnl.0000316799.86917.37, 2676966, 18606964.
29. Wright CB, Festa JR, Paik MC, Schmiedigen A, Brown TR, Yoshita M, DeCarli C, Sacco R, Stern Y. White matter hyperintensities and subclinical infarction: associations with psychomotor speed and cognitive flexibility. Stroke 2008, 39(3):800-805. 10.1161/STROKEAHA.107.484147, 2267752, 18258844.
30. Kaplan RF, Cohen RA, Moscufo N, Guttmann C, Chasman J, Buttaro M, Hall CH, Wolfson L. Demographic and biological influences on cognitive reserve. J Clin Exp Neuropsychol 2009, 31(7):868-876. 10.1080/13803390802635174, 19333862.
31. Wakefield DB, Moscufo N, Guttmann CR, Kuchel GA, Kaplan RF, Pearlson G, Wolfson L. White matter hyperintensities predict functional decline in voiding, mobility, and cognition in older adults. J Am Geriatr Soc 2010, 58(2):275-281. 10.1111/j.1532-5415.2009.02699.x, 20374403.
32. O'Brien JT, Wiseman R, Burton EJ, Barber B, Wesnes K, Saxby B, Ford GA. Cognitive associations of subcortical white matter lesions in older people. Ann N Y Acad Sci 2002, 977:436-444. 10.1111/j.1749-6632.2002.tb04849.x, 12480784.
33. Burns JM, Church JA, Johnson DK, Xiong C, Marcus D, Fotenos AF, Snyder AZ, Morris JC, Buckner RL. White matter lesions are prevalent but differentially related with cognition in aging and early Alzheimer disease. Arch Neurol 2005, 62(12):1870-1876. 10.1001/archneur.62.12.1870, 16344345.
34. Ishii H, Meguro K, Yamaguchi S, Ishikawa H, Yamadori A. Prevalence and cognitive performances of vascular cognitive impairment no dementia in Japan: the Osaki-Tajiri Project. Eur J Neurol 2007, 14(6):609-616. 10.1111/j.1468-1331.2007.01781.x, 17539936.
35. Tullberg M, Fletcher E, DeCarli C, Mungas D, Reed BR, Harvey DJ, Weiner MW, Chui HC, Jagust WJ. White matter lesions impair frontal lobe function regardless of their location. Neurology 2004, 63(2):246-253. 10.1212/01.WNL.0000130530.55104.B5, 1893004, 15277616.
36. Darling WG, Pizzimenti MA, Rotella DL, Peterson CR, Hynes SM, Ge J, Solon K, McNeal DW, Stilwell-Morecraft KS, Morecraft RJ. Volumetric effects of motor cortex injury on recovery of dexterous movements. Exp Neurol 2009, 220(1):90-108. 10.1016/j.expneurol.2009.07.034, 2778269, 19679127.
37. Alvarez JA, Emory E. Executive function and the frontal lobes: a meta-analytic review. Neuropsychol Rev 2006, 16(1):17-42. 10.1007/s11065-006-9002-x, 16794878.
38. van den Heuvel DM, ten Dam VH, de Craen AJ, Admiraal-Behloul F, Olofsen H, Bollen EL, Jolles J, Murray HM, Blauw GJ, Westendorp RG, et al. Increase in periventricular white matter hyperintensities parallels decline in mental processing speed in a non-demented elderly population. J Neurol Neurosurg Psychiatry 2006, 77(2):149-153. 10.1136/jnnp.2005.070193, 2077562, 16421114.
39. Albinet CT, Boucard G, Bouquet CA, Audiffren M. Processing speed and executive functions in cognitive aging: How to disentangle their mutual relationship?. Brain Cogn 2012, 79(1):1-11. 10.1016/j.bandc.2012.02.001, 22387275.
40. Carpenter PA, Just MA, Reichle ED. Working memory and executive function: evidence from neuroimaging. Curr Opin Neurobiol 2000, 10(2):195-199. 10.1016/S0959-4388(00)00074-X, 10753796.
41. Gouw A, Van Der Flier W, Van Straaten E, Pantoni L, Bastos-Leite A, Inzitari D, Erkinjuntti T, Wahlund L, Ryberg C, Schmidt R. Reliability and sensitivity of visual scales versus volumetry for evaluating white matter hyperintensity progression. Cerebrovasc Dis 2008, 25(3):247-253. 10.1159/000113863, 18216467.
42. Tiehuis A, Vincken K, Mali WPTM, Kappelle L, Anbeek P, Algra A, Biessels G. Automated and visual scoring methods of cerebral white matter hyperintensities: relation with age and cognitive function. Cerebrovasc Dis 2008, 25(1-2):59-66.
43. Sajja BR, Datta S, He R, Mehta M, Gupta RK, Wolinsky JS, Narayana PA. Unified approach for multiple sclerosis lesion segmentation on brain MRI. Ann Biomed Eng 2006, 34(1):142-151. 10.1007/s10439-005-9009-0, 1463248, 16525763.
44. Debette S, Markus HS. The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ 2010, 341:c3666. 10.1136/bmj.c3666, 2910261, 20660506.
45. Abdul Latif L, Daud Amadera JE, Pimentel D, Pimentel T, Fregni F. Sample size calculation in physical medicine and rehabilitation: a systematic review of reporting, characteristics, and results in randomized controlled trials. Arch Phys Med Rehabil 2011, 92(2):306-315. 10.1016/j.apmr.2010.10.003, 21272730.