Macro- and micro-structural white matter differences correlate with cognitive performance in healthy aging
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  • 作者:Paulo César Gonçalves Marques ; José Miguel Montenegro Soares…
  • 关键词:Diffusion tensor imaging ; Aging ; Cognitive performance ; White matter ; Tract ; based spatial statistics
  • 刊名:Brain Imaging and Behavior
  • 出版年:2016
  • 出版时间:March 2016
  • 年:2016
  • 卷:10
  • 期:1
  • 页码:168-181
  • 全文大小:11,377 KB
  • 参考文献:Alves, G. S., Karakaya, T., Fusser, F., Kordulla, M., O’Dwyer, L., Christl, J., & Pantel, J. (2012). Association of microstructural white matter abnormalities with cognitive dysfunction in geriatric patients with major depression. Psychiatry Research, 203(2–3), 194–200. doi:10.​1016/​j.​pscychresns.​2011.​12.​006 .CrossRef PubMed
    Bagnato, F., Salman, Z., Kane, R., Auh, S., Cantor, F. K., Ehrmantraut, M., & McFarland, H. F. (2010). T1 cortical hypointensities and their association with cognitive disability in multiple sclerosis. Multiple Sclerosis, 16(10), 1203–1212. doi:10.​1177/​1352458510377223​ .CrossRef PubMed
    Barrick, T. R., Charlton, R. A., Clark, C. A., & Markus, H. S. (2010). White matter structural decline in normal ageing: a prospective longitudinal study using tract-based spatial statistics. NeuroImage, 51(2), 565–577. doi:10.​1016/​j.​neuroimage.​2010.​02.​033 .CrossRef PubMed
    Bartzokis, G., Sultzer, D., Lu, P. H., Nuechterlein, K. H., Mintz, J., & Cummings, J. L. (2004). Heterogeneous age-related breakdown of white matter structural integrity: implications for cortical “disconnection” in aging and Alzheimer’s disease. Neurobiology of Aging, 25(7), 843–851. doi:10.​1016/​j.​neurobiolaging.​2003.​09.​005 .CrossRef PubMed
    Bender, A. R., & Raz, N. (2015). Normal-appearing cerebral white matter in healthy adults: mean change over two years and individual differences in change. Neurobiol Aging(0). doi: 10.​1016/​j.​neurobiolaging.​2015.​02.​001 .
    Bennett, I. J., Madden, D. J., Vaidya, C. J., Howard, D. V., & Howard, J. H., Jr. (2010). Age-related differences in multiple measures of white matter integrity: a diffusion tensor imaging study of healthy aging. Human Brain Mapping, 31(3), 378–390. doi:10.​1002/​hbm.​20872 .PubMed PubMedCentral
    Brickman, A. M., Paul, R. H., Cohen, R. A., Williams, L. M., MacGregor, K. L., Jefferson, A. L., & Gordon, E. (2005). Category and letter verbal fluency across the adult lifespan: relationship to EEG theta power. Archives of Clinical Neuropsychology, 20(5), 561–573. doi:10.​1016/​j.​acn.​2004.​12.​006 .CrossRef PubMed PubMedCentral
    Brickman, A. M., Zimmerman, M. E., Paul, R. H., Grieve, S. M., Tate, D. F., Cohen, R. A., & Gordon, E. (2006). Regional white matter and neuropsychological functioning across the adult lifespan. Biological Psychiatry, 60(5), 444–453.CrossRef PubMed
    Budde, M. D., Kim, J. H., Liang, H. F., Schmidt, R. E., Russell, J. H., Cross, A. H., & Song, S. K. (2007). Toward accurate diagnosis of white matter pathology using diffusion tensor imaging. Magnetic Resonance in Medicine, 57(4), 688–695. doi:10.​1002/​mrm.​21200 .CrossRef PubMed
    Budde, M. D., Xie, M., Cross, A. H., & Song, S. K. (2009). Axial diffusivity is the primary correlate of axonal injury in the experimental autoimmune encephalomyelitis spinal cord: a quantitative pixelwise analysis. The Journal of Neuroscience, 29(9), 2805–2813. doi:10.​1523/​JNEUROSCI.​ 4605-08.​2009 .CrossRef PubMed PubMedCentral
    Burzynska, A. Z., Preuschhof, C., Backman, L., Nyberg, L., Li, S. C., Lindenberger, U., & Heekeren, H. R. (2010). Age-related differences in white matter microstructure: region-specific patterns of diffusivity. NeuroImage, 49(3), 2104–2112. doi:10.​1016/​j.​neuroimage.​2009.​09.​041 .CrossRef PubMed
    Busch, R. M., & Chapin, J. S. (2008). Review of normative data for common screening measures used to evaluate cognitive functioning in elderly individuals. The Clinical Neuropsychologist, 22(4), 620–650. doi:10.​1080/​1385404070144879​3 .CrossRef PubMed
    Chang, L. C., Jones, D. K., & Pierpaoli, C. (2005). RESTORE: robust estimation of tensors by outlier rejection. Magnetic Resonance in Medicine, 53(5), 1088–1095. doi:10.​1002/​mrm.​20426 .CrossRef PubMed
    Charlton, R. A., Schiavone, F., Barrick, T. R., Morris, R. G., & Markus, H. S. (2010). Diffusion tensor imaging detects age related white matter change over a 2 year follow-up which is associated with working memory decline. Journal of Neurology, Neurosurgery, and Psychiatry, 81(1), 13–19. doi:10.​1136/​jnnp.​2008.​167288 .CrossRef PubMed
    Conforti, L., Gilley, J., & Coleman, M. P. (2014). Wallerian degeneration: an emerging axon death pathway linking injury and disease. Nature Reviews Neuroscience, 15(6), 394–409. doi:10.​1038/​Nrn3680 .CrossRef PubMed
    Costa, P. S., Santos, N. C., Cunha, P., Palha, J. A., & Sousa, N. (2013). The use of bayesian latent class cluster models to classify patterns of cognitive performance in healthy ageing. PLoS One, 8(8), e71940. doi:10.​1371/​journal.​pone.​0071940 .CrossRef PubMed PubMedCentral
    Deary, I. J., Bastin, M. E., Pattie, A., Clayden, J. D., Whalley, L. J., Starr, J. M., & Wardlaw, J. M. (2006). White matter integrity and cognition in childhood and old age. Neurology, 66(4), 505–512. doi:10.​1212/​01.​wnl.​0000199954.​81900.​e2 .CrossRef PubMed
    Desikan, R. S., Segonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., & Killiany, R. J. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage, 31, 968–980.CrossRef PubMed
    Destrieux, C., Fischl, B., Dale, A., & Halgren, E. (2010). Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature. NeuroImage, 53(1), 1–15. doi:10.​1016/​j.​neuroimage.​2010.​06.​010 .CrossRef PubMed PubMedCentral
    Firbank, M. J., Wiseman, R. M., Burton, E. J., Saxby, B. K., O’Brien, J. T., & Ford, G. A. (2007). Brain atrophy and white matter hyperintensity change in older adults and relationship to blood pressure. Brain atrophy, WMH change and blood pressure. Journal of Neurology, 254(6), 713–721. doi:10.​1007/​s00415-006-0238-4 .CrossRef PubMed
    Fischer, P., Krampla, W., Mostafaie, N., Zehetmayer, S., Rainer, M., Jungwirth, S., & Tragl, K. H. (2007). VITA study: white matter hyperintensities of vascular and degenerative origin in the elderly. Journal of Neural Transmission, Supplement, 72, 181–188.CrossRef
    Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., & Dale, A. M. (2002). Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron, 33(3), 341–355.CrossRef PubMed
    Fjell, A. M., Westlye, L. T., Grydeland, H., Amlien, I., Espeseth, T., Reinvang, I., & Alzheimer Disease Neuroimaging, I. (2013). Critical ages in the life course of the adult brain: nonlinear subcortical aging. Neurobiology of Aging, 34(10), 2239–2247. doi:10.​1016/​j.​neurobiolaging.​2013.​04.​006 .CrossRef PubMed PubMedCentral
    Garde, E., Mortensen, E. L., Rostrup, E., & Paulson, O. B. (2005). Decline in intelligence is associated with progression in white matter hyperintensity volume. Journal of Neurology, Neurosurgery & Psychiatry, 76(9), 1289–1291.CrossRef
    Grieve, S. M., Williams, L. M., Paul, R. H., Clark, C. R., & Gordon, E. (2007). Cognitive aging, executive function, and fractional anisotropy: a diffusion tensor MR imaging study. AJNR - American Journal of Neuroradiology, 28(2), 226–235.PubMed
    Grigoletto, F., Zappala, G., Anderson, D. W., & Lebowitz, B. D. (1999). Norms for the mini-mental state examination in a healthy population. Neurology, 53(2), 315–320.CrossRef PubMed
    Guerreiro, M., Silva, A. P., Botelho, M. A., Leitão, O., Castro-Caldas, A., & Garcia, C. (1994). Adaptação à população portuguesa da tradução do mini mental state examination (MMSE). Revista Portuguesa de Neurologia, 1(9), 9–10.
    Head, D., Buckner, R. L., Shimony, J. S., Williams, L. E., Akbudak, E., Conturo, T. E., & Snyder, A. Z. (2004). Differential vulnerability of anterior white matter in nondemented aging with minimal acceleration in dementia of the Alzheimer type: evidence from diffusion tensor imaging. Cerebral Cortex, 14(4), 410–423.CrossRef PubMed
    Hua, K., Zhang, J., Wakana, S., Jiang, H., Li, X., Reich, D. S., & Mori, S. (2008). Tract probability maps in stereotaxic spaces: analyses of white matter anatomy and tract-specific quantification. NeuroImage, 39(1), 336–347. doi:10.​1016/​j.​neuroimage.​2007.​07.​053 .CrossRef PubMed PubMedCentral
    Jacobs, H. I., Leritz, E. C., Williams, V. J., Van Boxtel, M. P., van der Elst, W., Jolles, J., & Salat, D. H. (2013). Association between white matter microstructure, executive functions, and processing speed in older adults: the impact of vascular health. Human Brain Mapping, 34(1), 77–95. doi:10.​1002/​hbm.​21412 .CrossRef PubMed
    Jones, D. K., Knosche, T. R., & Turner, R. (2013). White matter integrity, fiber count, and other fallacies: the do’s and don’ts of diffusion MRI. NeuroImage, 73, 239–254. doi:10.​1016/​j.​neuroimage.​2012.​06.​081 .CrossRef PubMed
    Jovicich, J., Czanner, S., Han, X., Salat, D., van der Kouwe, A., Quinn, B., & Fischl, B. (2009). MRI-derived measurements of human subcortical, ventricular and intracranial brain volumes: Reliability effects of scan sessions, acquisition sequences, data analyses, scanner upgrade, scanner vendors and field strengths. NeuroImage, 46(1), 177–192. doi:10.​1016/​j.​neuroimage.​2009.​02.​010 .CrossRef PubMed PubMedCentral
    Kennedy, K. M., & Raz, N. (2009). Aging white matter and cognition: differential effects of regional variations in diffusion properties on memory, executive functions, and speed. Neuropsychologia, 47(3), 916–927. doi:10.​1016/​j.​neuropsychologia​.​2009.​01.​001 .CrossRef PubMed PubMedCentral
    Kim, K. W., MacFall, J. R., & Payne, M. E. (2008). Classification of white matter lesions on magnetic resonance imaging in elderly persons. Biological Psychiatry, 64(4), 273–280. doi:10.​1016/​j.​biopsych.​2008.​03.​024 .CrossRef PubMed PubMedCentral
    Klawiter, E. C., Schmidt, R. E., Trinkaus, K., Liang, H. F., Budde, M. D., Naismith, R. T., & Benzinger, T. L. (2011). Radial diffusivity predicts demyelination in ex vivo multiple sclerosis spinal cords. NeuroImage, 55(4), 1454–1460. doi:10.​1016/​j.​neuroimage.​2011.​01.​007 .CrossRef PubMed PubMedCentral
    Kochunov, P., Thompson, P. M., Lancaster, J. L., Bartzokis, G., Smith, S., Coyle, T., & Fox, P. T. (2007). Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: tract-based spatial statistics study of aging. NeuroImage, 35(2), 478–487. doi:10.​1016/​j.​neuroimage.​2006.​12.​021 .CrossRef PubMed
    Laukka, E. J., Lovden, M., Kalpouzos, G., Li, T. Q., Jonsson, T., Wahlund, L. O., & Backman, L. (2013). Associations between white matter microstructure and cognitive performance in old and very old age. PLoS One, 8(11), e81419. doi:10.​1371/​journal.​pone.​0081419 .CrossRef PubMed PubMedCentral
    Lemaitre, H., Goldman, A. L., Sambataro, F., Verchinski, B. A., Meyer-Lindenberg, A., Weinberger, D. R., & Mattay, V. S. (2012). Normal age-related brain morphometric changes: nonuniformity across cortical thickness, surface area and gray matter volume? Neurobiol Aging, 33(3), 617 e611-619. doi: 10.​1016/​j.​neurobiolaging.​2010.​07.​013 .
    Leritz, E. C., Shepel, J., Williams, V. J., Lipsitz, L. A., McGlinchey, R. E., Milberg, W. P., & Salat, D. H. (2013). Associations between T(1) white matter lesion volume and regional white matter microstructure in aging. Human Brain Mapping. doi:10.​1002/​hbm.​22236 .
    Liu, Y., Spulber, G., Lehtimaki, K. K., Kononen, M., Hallikainen, I., Grohn, H., & Soininen, H. (2011). Diffusion tensor imaging and tract-based spatial statistics in Alzheimer’s disease and mild cognitive impairment. Neurobiology of Aging, 32(9), 1558–1571. doi:10.​1016/​j.​neurobiolaging.​2009.​10.​006 .CrossRef PubMed
    Lockhart, S. N., Roach, A. E., Luck, S. J., Geng, J., Beckett, L., Carmichael, O., & DeCarli, C. (2014). White matter hyperintensities are associated with visual search behavior independent of generalized slowing in aging. Neuropsychologia, 52, 93–101. doi:10.​1016/​j.​neuropsychologia​.​2013.​10.​011 .CrossRef PubMed PubMedCentral
    Lovden, M., Kohncke, Y., Laukka, E. J., Kalpouzos, G., Salami, A., Li, T. Q., & Backman, L. (2014). Changes in perceptual speed and white matter microstructure in the corticospinal tract are associated in very old age. NeuroImage, 102(Pt 2), 520–530. doi:10.​1016/​j.​neuroimage.​2014.​08.​020 .CrossRef PubMed
    MacDonald, S. W., Hultsch, D. F., & Dixon, R. A. (2003). Performance variability is related to change in cognition: evidence from the Victoria Longitudinal Study. Psychology and Aging, 18(3), 510.CrossRef PubMed
    Madden, D. J., Bennett, I. J., Burzynska, A., Potter, G. G., Chen, N. K., & Song, A. W. (2011). Diffusion tensor imaging of cerebral white matter integrity in cognitive aging. Biochimica et Biophysica Acta. doi:10.​1016/​j.​bbadis.​2011.​08.​003 .PubMed PubMedCentral
    Madden, D. J., Spaniol, J., Costello, M. C., Bucur, B., White, L. E., Cabeza, R., & Huettel, S. A. (2009). Cerebral white matter integrity mediates adult age differences in cognitive performance. Journal Cognitive Neuroscience, 21(2), 289–302. doi:10.​1162/​jocn.​2009.​21047 .CrossRef
    Maillard, P., Carmichael, O., Fletcher, E., Reed, B., Mungas, D., & DeCarli, C. (2012). Coevolution of white matter hyperintensities and cognition in the elderly. Neurology, 79(5), 442–448. doi:10.​1212/​WNL.​0b013e3182617136​ .CrossRef PubMed PubMedCentral
    Mielke, M. M., Kozauer, N. A., Chan, K. C., George, M., Toroney, J., Zerrate, M., & Albert, M. (2009). Regionally-specific diffusion tensor imaging in mild cognitive impairment and Alzheimer’s disease. NeuroImage, 46(1), 47–55. doi:10.​1016/​j.​neuroimage.​2009.​01.​054 .CrossRef PubMed PubMedCentral
    O’Sullivan, M., Jones, D. K., Summers, P. E., Morris, R. G., Williams, S. C., & Markus, H. S. (2001). Evidence for cortical “disconnection” as a mechanism of age-related cognitive decline. Neurology, 57(4), 632–638.CrossRef PubMed
    Ota, M., Yasuno, F., Ito, H., Seki, C., Nozaki, S., Asada, T., & Suhara, T. (2006). Age-related decline of dopamine synthesis in the living human brain measured by positron emission tomography with L-[beta-11C]DOPA. Life Sciences, 79(8), 730–736. doi:10.​1016/​j.​lfs.​2006.​02.​017 .CrossRef PubMed
    Paulo, A. C., Sampaio, A., Santos, N. C., Costa, P. S., Cunha, P., Zihl, J., & Sousa, N. (2011). Patterns of cognitive performance in healthy ageing in northern portugal: a cross-sectional analysis. PLoS One, 6(9), e24553. doi:10.​1371/​journal.​pone.​0024553 .CrossRef PubMed PubMedCentral
    Pfefferbaum, A., & Sullivan, E. V. (2003). Increased brain white matter diffusivity in normal adult aging: relationship to anisotropy and partial voluming. Magnetic Resonance in Medicine, 49(5), 953–961. doi:10.​1002/​mrm.​10452 .CrossRef PubMed
    Prins, N. D., van Dijk, E. J., den Heijer, T., Vermeer, S. E., Jolles, J., Koudstaal, P. J., & Breteler, M. M. (2005). Cerebral small-vessel disease and decline in information processing speed, executive function and memory. Brain, 128(Pt 9), 2034–2041. doi:10.​1093/​brain/​awh553 .CrossRef PubMed
    Roosendaal, S. D., Geurts, J. J., Vrenken, H., Hulst, H. E., Cover, K. S., Castelijns, J. A., & Barkhof, F. (2009). Regional DTI differences in multiple sclerosis patients. NeuroImage, 44(4), 1397–1403. doi:10.​1016/​j.​neuroimage.​2008.​10.​026 .CrossRef PubMed
    Salat, D. H., Buckner, R. L., Snyder, A. Z., Greve, D. N., Desikan, R. S., Busa, E., & Fischl, B. (2004). Thinning of the cerebral cortex in aging. Cerebral Cortex, 14(7), 721–730. doi:10.​1093/​cercor/​bhh032 .CrossRef PubMed
    Salat, D. H., Greve, D. N., Pacheco, J. L., Quinn, B. T., Helmer, K. G., Buckner, R. L., & Fischl, B. (2009). Regional white matter volume differences in nondemented aging and Alzheimer’s disease. NeuroImage, 44(4), 1247–1258. doi:10.​1016/​j.​neuroimage.​2008.​10.​030 .CrossRef PubMed PubMedCentral
    Salat, D. H., Tuch, D. S., Greve, D. N., van der Kouwe, A. J., Hevelone, N. D., Zaleta, A. K., & Dale, A. M. (2005). Age-related alterations in white matter microstructure measured by diffusion tensor imaging. Neurobiology of Aging, 26(8), 1215–1227. doi:10.​1016/​j.​neurobiolaging.​2004.​09.​017 .CrossRef PubMed
    Salat, D. H., Tuch, D. S., van der Kouwe, A. J., Greve, D. N., Pappu, V., Lee, S. Y., & Rosas, H. D. (2010). White matter pathology isolates the hippocampal formation in Alzheimer’s disease. Neurobiology of Aging, 31(2), 244–256. doi:10.​1016/​j.​neurobiolaging.​2008.​03.​013 .CrossRef PubMed PubMedCentral
    Salat, D. H., Williams, V. J., Leritz, E. C., Schnyer, D. M., Rudolph, J. L., Lipsitz, L. A., & Milberg, W. P. (2012). Inter-individual variation in blood pressure is associated with regional white matter integrity in generally healthy older adults. NeuroImage, 59(1), 181–192. doi:10.​1016/​j.​neuroimage.​2011.​07.​033 .CrossRef PubMed PubMedCentral
    Salthouse, T. A. (2009). Decomposing age correlations on neuropsychological and cognitive variables. Journal of the International Neuropsychological Society, 15(5), 650–661. doi:10.​1017/​s135561770999038​5 .CrossRef PubMed PubMedCentral
    Santos, N. C., Costa, P. S., Cunha, P., Cotter, J., Sampaio, A., Zihl, J., & Sousa, N. (2013). Mood is a key determinant of cognitive performance in community-dwelling older adults: a cross-sectional analysis. Age (Dordrecht, Netherlands), 35(5), 1983–1993. doi:10.​1007/​s11357-012-9482-y .CrossRef
    Santos, N. C., Costa, P. S., Cunha, P., Portugal-Nunes, C., Amorim, L., Cotter, J., Sousa, N. (2014). Clinical, physical and lifestyle indicators and relationship with cognition and mood in aging: a cross-sectional analysis of distinct educational groups. Frontiers in Aging Neuroscience, 6. doi: 10.​3389/​fnagi.​2014.​00021 .
    Sexton, C. E., Walhovd, K. B., Storsve, A. B., Tamnes, C. K., Westlye, L. T., Johansen-Berg, H., & Fjell, A. M. (2014). Accelerated changes in white matter microstructure during aging: a longitudinal diffusion tensor imaging study. The Journal of Neuroscience, 34(46), 15425–15436. doi:10.​1523/​JNEUROSCI.​ 0203-14.​2014 .CrossRef PubMed PubMedCentral
    Smith, C. D., Snowdon, D. A., Wang, H., & Markesbery, W. R. (2000). White matter volumes and periventricular white matter hyperintensities in aging and dementia. Neurology, 54(4), 838–842.CrossRef PubMed
    Smith, S. M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., & Behrens, T. E. (2006). Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage, 31(4), 1487–1505. doi:10.​1016/​j.​neuroimage.​2006.​02.​024 .CrossRef PubMed
    Sun, S. W., Liang, H. F., Cross, A. H., & Song, S. K. (2008). Evolving Wallerian degeneration after transient retinal ischemia in mice characterized by diffusion tensor imaging. NeuroImage, 40(1), 1–10. doi:10.​1016/​j.​neuroimage.​2007.​11.​049 .CrossRef PubMed PubMedCentral
    Sun, S. W., Liang, H. F., Le, T. Q., Armstrong, R. C., Cross, A. H., & Song, S. K. (2006). Differential sensitivity of in vivo and ex vivo diffusion tensor imaging to evolving optic nerve injury in mice with retinal ischemia. NeuroImage, 32(3), 1195–1204. doi:10.​1016/​j.​neuroimage.​2006.​04.​212 .CrossRef PubMed
    Teipel, S. J., Meindl, T., Wagner, M., Stieltjes, B., Reuter, S., Hauenstein, K. H., & Hampel, H. (2010). Longitudinal changes in fiber tract integrity in healthy aging and mild cognitive impairment: a DTI follow-up study. Journal of Alzheimer’s Disease, 22(2), 507–522. doi:10.​3233/​JAD-2010-100234 .PubMed
    Tomasi, D., & Volkow, N. D. (2012). Aging and functional brain networks. Mol Psychiatry, 17(5), 471, 549–458. doi: 10.​1038/​mp.​2011.​81 .
    Vernooij, M. W., Ikram, M. A., Vrooman, H. A., Wielopolski, P. A., Krestin, G. P., Hofman, A., & Breteler, M. M. (2009). White matter microstructural integrity and cognitive function in a general elderly population. Archives of General Psychiatry, 66(5), 545–553. doi:10.​1001/​archgenpsychiatr​y.​2009.​5 .CrossRef PubMed
    Wakefield, D. B., Moscufo, N., Guttmann, C. R., Kuchel, G. A., Kaplan, R. F., Pearlson, G., & Wolfson, L. (2010). White matter hyperintensities predict functional decline in voiding, mobility, and cognition in older adults. Journal of American Geriatrics Society, 58(2), 275–281. doi:10.​1111/​j.​1532-5415.​2009.​02699.​x .CrossRef
    Wang, L., Goldstein, F. C., Levey, A. I., Lah, J. J., Meltzer, C. C., Holder, C. A., & Mao, H. (2011). White matter hyperintensities and changes in white matter integrity in patients with Alzheimer’s disease. Neuroradiology, 53(5), 373–381. doi:10.​1007/​s00234-010-0806-2 .CrossRef PubMed PubMedCentral
    Wang, R., Fratiglioni, L., Laukka, E. J., Lovden, M., Kalpouzos, G., Keller, L., & Qiu, C. (2015). Effects of vascular risk factors and APOE epsilon4 on white matter integrity and cognitive decline. Neurology. doi:10.​1212/​WNL.​0000000000001379​ .
    Westlye, L. T., Walhovd, K. B., Dale, A. M., Bjørnerud, A., Due-Tønnessen, P., Engvig, A., & Fjell, A. M. (2010). Life-span changes of the human brain white matter: diffusion tensor imaging (DTI) and volumetry. Cerebral Cortex, 20(9), 2055–2068.CrossRef PubMed
    Zhang, Y., Du, A. T., Hayasaka, S., Jahng, G. H., Hlavin, J., Zhan, W., & Schuff, N. (2010). Patterns of age-related water diffusion changes in human brain by concordance and discordance analysis. Neurobiology of Aging, 31(11), 1991–2001. doi:10.​1016/​j.​neurobiolaging.​2008.​10.​009 .CrossRef PubMed PubMedCentral
  • 作者单位:Paulo César Gonçalves Marques (1) (2) (3)
    José Miguel Montenegro Soares (1) (2) (3)
    Ricardo José da Silva Magalhães (1) (2) (3)
    Nadine Correia Santos (1) (2) (3)
    Nuno Jorge Carvalho Sousa (1) (2) (3)

    1. Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Campus Gualtar, 4710-057, Braga, Portugal
    2. ICVS/3B’s - PT Government Associate Laboratory, Braga, Guimarães, Portugal
    3. Clinical Academic Center – Braga, Braga, Portugal
  • 刊物主题:Neurosciences; Neuroradiology; Neuropsychology; Psychiatry;
  • 出版者:Springer US
  • ISSN:1931-7565
文摘
Studies have shown that white matter (WM) volumetric reductions and overall degradation occur with aging. Nonetheless little is known about the WM alterations that may underlie different cognitive status in older individuals. The main goal of the present work was to identify and characterize possible macro and microstructural WM alterations that could distinguish between older healthy individuals with contrasting cognitive profiles (i.e., “poor” vs “good” cognitive performers). Structural and diffusion magnetic resonance imaging was performed in order to quantify local WM volumes, white matter signal abnormalities (WMSA) volume (a measure of lesion burden) and diffusion tensor imaging scalar maps known to probe WM microstructure. A battery of neurocognitive/psychological tests was administered to assess the cognitive performance. Poor performers showed a higher slope for the positive association between WMSA volume and age compared to good performers. Even when controlling for WMSA volume, poor performers also evidenced lower fractional anisotropy, as well as positive associations with age with higher slopes of regression parameters in radial and axial diffusivity. Altogether results suggest that cognitive performance is related to differences in WM, with poor cognitive performers displaying signs of faster aging in WM.

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