nach oben

Neuropsychology Review

Erschienen in:

01.12.2009 | Review

Cerebral White Matter Integrity and Cognitive Aging: Contributions from Diffusion Tensor Imaging

verfasst von: David J. Madden, Ilana J. Bennett, Allen W. Song

Erschienen in: Neuropsychology Review | Ausgabe 4/2009

Einloggen, um Zugang zu erhalten

Abstract

The integrity of cerebral white matter is critical for efficient cognitive functioning, but little is known regarding the role of white matter integrity in age-related differences in cognition. Diffusion tensor imaging (DTI) measures the directional displacement of molecular water and as a result can characterize the properties of white matter that combine to restrict diffusivity in a spatially coherent manner. This review considers DTI studies of aging and their implications for understanding adult age differences in cognitive performance. Decline in white matter integrity contributes to a disconnection among distributed neural systems, with a consistent effect on perceptual speed and executive functioning. The relation between white matter integrity and cognition varies across brain regions, with some evidence suggesting that age-related effects exhibit an anterior–posterior gradient. With continued improvements in spatial resolution and integration with functional brain imaging, DTI holds considerable promise, both for theories of cognitive aging and for translational application.

Virtually all neuroimaging studies of aging, as well as behavioral studies, are cross-sectional investigations of different age groups, rather than longitudinal studies of the same individuals over time. In describing cross-sectional results as age-related, we recognize that the differences among age groups include influences other than age (e.g., cohort effects). Thus, differences among the age groups in the dependent variables, expressed as deficits or improvements in particular measures, do not necessarily represent age-related change, for which longitudinal data are required.

Abe, O., Aoki, S., Hayashi, N., Yamada, H., Kunimatsu, A., Mori, H., et al. (2002). Normal aging in the central nervous system: quantitative MR diffusion-tensor analysis. Neurobiology of Aging, 23, 433–441.PubMed

Alexander, D. C. (2008). A general framework for experiment design in diffusion MRI and its application in measuring direct tissue-microstructure features. Magnetic Resonance in Medicine, 60, 439–448.PubMed

Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., et al. (2007). Disruption of large-scale brain systems in advanced aging. Neuron, 56, 924–935.PubMed

Ardekani, S., Kumar, A., Bartzokis, G., & Sinha, U. (2007). Exploratory voxel-based analysis of diffusion indices and hemispheric asymmetry in normal aging. Magnetic Resonance Imaging, 25, 154–167.PubMed

Assaf, Y., Blumenfeld-Katzir, T., Yovel, Y., & Basser, P. J. (2008). AxCaliber: a method for measuring axon diameter distribution from diffusion MRI. Magnetic Resonance in Medicine, 59, 1347–1354.PubMed

Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182.PubMed

Bartzokis, G. (2004). Age-related myelin breakdown: a developmental model of cognitive decline and Alzheimer’s disease. Neurobiology of Aging, 25, 5–18.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, 843–851.PubMed

Basser, P. J., & Jones, D. K. (2002). Diffusion-tensor MRI: theory, experimental design and data analysis—a technical review. NMR in Biomedicine, 15, 456–467.PubMed

Basser, P. J., Pajevic, S., Pierpaoli, C., Duda, J., & Aldroubi, A. (2000). In vivo fiber tractography using DT-MRI data. Magnetic Resonance in Medicine, 44, 625–632.PubMed

Beaulieu, C. (2002). The basis of anisotropic water diffusion in the nervous system—a technical review. NMR in Biomedicine, 15, 435–455.PubMed

Behrens, T. E., Woolrich, M. W., Jenkinson, M., Johansen-Berg, H., Nunes, R. G., Clare, S., et al. (2003). Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magnetic Resonance in Medicine, 50, 1077–1088.PubMed

Bendlin, B. B., Ries, M. L., Lazar, M., Alexander, A. L., Dempsey, R. J., Rowley, H. A., et al. (2008). Longitudinal changes in patients with traumatic brain injury assessed with diffusion-tensor and volumetric imaging. Neuroimage, 42, 503–514.PubMed

Bennett, I. J., Madden, D. J., Vaidya, C. J., Howard, J. H., Jr., & Howard, D. V. (2009). Age-related differences in multiple measures of white matter integrity: A diffusion tensor imaging study of healthy aging. Human Brain Mapping.

Bhagat, Y. A., & Beaulieu, C. (2004). Diffusion anisotropy in subcortical white matter and cortical gray matter: Changes with aging and the role of CSF-suppression. Journal of Magnetic Resonance Imaging, 20, 216–227.PubMed

Bozzali, M., Franceschi, M., Falini, A., Pontesilli, S., Cercignani, M., Magnani, G., et al. (2001). Quantification of tissue damage in AD using diffusion tensor and magnetization transfer MRI. Neurology, 57, 1135–1137.PubMed

Brickman, A. M., Zimmerman, M. E., Paul, R. H., Grieve, S. M., Tate, D. F., Cohen, R. A., et al. (2006). Regional white matter and neuropsychological functioning across the adult lifespan. Biological Psychiatry, 60, 444–453.PubMed

Bucur, B., Madden, D. J., Spaniol, J., Provenzale, J. M., Cabeza, R., White, L. E., et al. (2008). Age-related slowing of memory retrieval: contributions of perceptual speed and cerebral white matter integrity. Neurobiology of Aging, 29, 1070–1079.PubMed

Burzynska, A. Z., Preuschhof, C., Bäckman, L., Nyberg, L., Li, S.-C., Lindenberger, U., et al. (2009). Age-related differences in white-matter microstructure: Region-specific patterns of diffusivity. Manuscript submitted for publication.

Cabeza, R., Nyberg, L., & Park, D. (eds). (2005). Cognitive neuroscience of aging: Linking cognitive and cerebral aging. Oxford: Oxford University Press.

Catani, M. (2006). Diffusion tensor magnetic resonance imaging tractography in cognitive disorders. Current Opinion in Neurology, 19, 599–606.PubMed

Catani, M. (2007). From hodology to function. Brain, 130, 602–605.PubMed

Catani, M., & Ffytche, D. H. (2005). The rises and falls of disconnection syndromes. Brain, 128, 2224–2239.PubMed

Catani, M., Howard, R. J., Pajevic, S., & Jones, D. K. (2002). Virtual in vivo interactive dissection of white matter fasciculi in the human brain. Neuroimage, 17, 77–94.PubMed

Charlton, R. A., Barrick, T. R., McIntyre, D. J., Shen, Y., O’Sullivan, M., Howe, F. A., et al. (2006). White matter damage on diffusion tensor imaging correlates with age-related cognitive decline. Neurology, 66, 217–222.PubMed

Charlton, R. A., Landau, S., Schiavone, F., Barrick, T. R., Clark, C. A., Markus, H. S., et al. (2008). A structural equation modeling investigation of age-related variance in executive function and DTI measured white matter damage. Neurobiology of Aging, 29, 1547–1555.PubMed

Chen, Z. G., Li, T. Q., & Hindmarsh, T. (2001). Diffusion tensor trace mapping in normal adult brain using single-shot EPI technique. A methodological study of the aging brain. Acta Radiologica, 42, 447–458.PubMed

Chen, B., Guo, H., & Song, A. W. (2006). Correction for direction-dependent distortions in diffusion tensor imaging using matched magnetic field maps. Neuroimage, 30, 121–129.PubMed

Chen, N.-K., Chou, Y.-H., & Madden, D. J. (2009). Measurement of spontaneous signal fluctuations in fMRI: Adult age differences in intrinsic functional connectivity. Brain Structure and Function.

Ciccarelli, O., Catani, M., Johansen-Berg, H., Clark, C., & Thompson, A. (2008). Diffusion-based tractography in neurological disorders: concepts, applications, and future developments. Lancet Neurology, 7, 715–727.PubMed

Colcombe, S. J., Erickson, K. I., Raz, N., Webb, A. G., Cohen, N. J., McAuley, E., et al. (2003). Aerobic fitness reduces brain tissue loss in aging humans. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 58, 176–180.

Colcombe, S. J., Kramer, A. F., Erickson, K. I., & Scalf, P. (2005). The implications of cortical recruitment and brain morphology for individual differences in inhibitory function in aging humans. Psychology and Aging, 20, 363–375.PubMed

Conturo, T. E., Lori, N. F., Cull, T. S., Akbudak, E., Snyder, A. Z., Shimony, J. S., et al. (1999). Tracking neuronal fiber pathways in the living human brain. Proceedings of the National Academy of Sciences of the United States of America, 96, 10422–10427.PubMed

Corouge, I., Fletcher, P. T., Joshi, S., Gouttard, S., & Gerig, G. (2006). Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. Medical Image Analysis, 10, 786–798.PubMed

Correia, S., Lee, S. Y., Voorn, T., Tate, D. F., Paul, R. H., Zhang, S., et al. (2008). Quantitative tractography metrics of white matter integrity in diffusion-tensor MRI. Neuroimage, 42, 568–581.PubMed

Damoiseaux, J. S., Beckmann, C. F., Arigita, E. J., Barkhof, F., Scheltens, P., Stam, C. J., et al. (2008). Reduced resting-state brain activity in the “default network” in normal aging. Cerebral Cortex, 18, 1856–1864.PubMed

Damoiseaux, J. S., Smith, S. M., Witter, M. P., Arigita, E. J., Barkhof, F., Scheltens, P., et al. (2009). White matter tract integrity in aging and Alzheimer’s disease. Human Brain Mapping, 30, 1051–1059.PubMed

Dauguet, J., Peled, S., Berezovskii, V., Delzescaux, T., Warfield, S. K., Born, R., et al. (2007). Comparison of fiber tracts derived from in-vivo DTI tractography with 3D histological neural tract tracer reconstruction on a macaque brain. Neuroimage, 37, 530–538.PubMed

Davis, S. W., Dennis, N. A., Daselaar, S. M., Fleck, M. S., & Cabeza, R. (2008). Que PASA? The posterior–anterior shift in aging. Cerebral Cortex, 18, 1201–1209.PubMed

Davis, S. W., Dennis, N. A., Buchler, N. G., White, L. E., Madden, D. J., & Cabeza, R. (2009). Assessing the effects of age on long white matter tracts using diffusion tensor tractography. Neuroimage, 46, 530–541.PubMed

Deary, I. J., Bastin, M. E., Pattie, A., Clayden, J. D., Whalley, L. J., Starr, J. M., et al. (2006). White matter integrity and cognition in childhood and old age. Neurology, 66, 505–512.PubMed

DeCarli, C., Murphy, D. G., Tranh, M., Grady, C. L., Haxby, J. V., Gillette, J. A., et al. (1995). The effect of white matter hyperintensity volume on brain structure, cognitive performance, and cerebral metabolism of glucose in 51 healthy adults. Neurology, 45, 2077–2084.PubMed

Dennis, N. A., & Cabeza, R. (2008). Neuroimaging of healthy cognitive aging. In F. I. M. Craik & T. A. Salthouse (Eds.), The handbook of aging and cognition (3rd ed., pp. 1–54). New York: Psychology.

Filippi, M., Cercignani, M., Inglese, M., Horsfield, M. A., & Comi, G. (2001). Diffusion tensor magnetic resonance imaging in multiple sclerosis. Neurology, 56, 304–311.PubMed

Filley, C. M. (2005). White matter and behavioral neurology. Annals of the New York Academy of Sciences, 1064, 162–183.PubMed

Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences of the United States of America, 102, 9673–9678.PubMed

Fox, M. D., Corbetta, M., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2006). Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. Proceedings of the National Academy of Sciences of the United States of America, 103, 10046–10051.PubMed

Friston, K. J., Holmes, A. P., Worsley, K. J., Poline, J. P., Frith, C. D., & Frackowiak, R. S. J. (1995). Statistical parametric maps in functional imaging: A general linear approach. Human Brain Mapping, 2, 189–210.

Galvin, R. J., Heron, J. R., & Regan, D. (1977). Subclinical optic neuropathy in multiple sclerosis. Archives of Neurology, 34, 666–670.PubMed

Ge, Y., Law, M., & Grossman, R. I. (2005). Applications of diffusion tensor MR imaging in multiple sclerosis. Annals of the New York Academy of Sciences, 1064, 202–219.PubMed

Geschwind, N. (1965a). Disconnexion syndromes in animals and man. I. Brain, 88, 237–294.PubMed

Geschwind, N. (1965b). Disconnexion syndromes in animals and man. II. Brain, 88, 585–644.PubMed

Gold, B. T., Powell, D. K., Xuan, L., Jiang, Y., & Hardy, P. A. (2007). Speed of lexical decision correlates with diffusion anisotropy in left parietal and frontal white matter: evidence from diffusion tensor imaging. Neuropsychologia, 45, 2439–2446.PubMed

Gold, B. T., Powell, D. K., Xuan, L., Jicha, G. A., & Smith, C. D. (2008). Age-related slowing of task switching is associated with decreased integrity of frontoparietal white matter. Neurobiology of Aging.

Goldberg-Zimring, D., Mewes, A. U., Maddah, M., & Warfield, S. K. (2005). Diffusion tensor magnetic resonance imaging in multiple sclerosis. Journal of Neuroimaging, 15, 68S–81S.PubMed

Grady, C. L. (2008). Cognitive neuroscience of aging. Annals of the New York Academy of Sciences, 1124, 127–144.PubMed

Greenwood, P. M. (2000). The frontal aging hypothesis evaluated. Journal of the International Neuropsychological Society, 6, 705–726.PubMed

Greenwood, P. M. (2007). Functional plasticity in cognitive aging: review and hypothesis. Neuropsychology, 21, 657–673.PubMed

Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004). Default-mode network activity distinguishes Alzheimer’s disease from healthy aging: evidence from functional MRI. Proceedings of the National Academy of Sciences of the United States of America, 101, 4637–4642.PubMed

Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009). Resting-state functional connectivity reflects structural connectivity in the default mode network. Cerebral Cortex, 19, 72–78.PubMed

Grieve, S. M., Williams, L. M., Paul, R. H., Clark, C. R., & Gordon, E. (2007). Cognitive aging, executive function, and fractional anisotropy: a diffusion tenor MR imaging study. American Journal of Neuroradiology, 28, 226–235.PubMed

Gunning-Dixon, F. M., & Raz, N. (2000). The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. Neuropsychology, 14, 224–232.PubMed

Gunning-Dixon, F. M., & Raz, N. (2003). Neuroanatomical correlates of selected executive functions in middle-aged and older adults: a prospective MRI study. Neuropsychologia, 41, 1929–1941.PubMed

Gunning-Dixon, F. M., Brickman, A. M., Cheng, J. C., & Alexopoulos, G. S. (2009). Aging of cerebral white matter: a review of MRI findings. International Journal of Geriatric Psychiatry, 24, 109–117.PubMed

Guttmann, C. R., Jolesz, F. A., Kikinis, R., Killiany, R. J., Moss, M. B., Sandor, T., et al. (1998). White matter changes with normal aging. Neurology, 50, 972–978.PubMed

Halligan, F. R., Reznikoff, M., Friedman, H. P., & La Rocca, N. G. (1988). Cognitive dysfunction and change in multiple sclerosis. Journal of Clinical Psychology, 44, 540–548.PubMed

Head, D., Buckner, R. L., Shimony, J. S., Williams, L. E., Akbudak, E., Conturo, T. E., et al. (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, 410–423.PubMed

Holland, C. M., Smith, E. E., Csapo, I., Gurol, M. E., Brylka, D. A., Killiany, R. J., et al. (2008). Spatial distribution of white-matter hyperintensities in alzheimer disease, cerebral amyloid angiopathy, and healthy aging. Stroke, 39, 1127–1133.PubMed

Jennekens-Schinkel, A., Laboyrie, P. M., Lanser, J. B., & van der Velde, E. A. (1990). Cognition in patients with multiple sclerosis after four years. Journal of the Neurological Sciences, 99, 229–247.PubMed

Jernigan, T. L., Archibald, S. L., Fennema-Notestine, C., Gamst, A. C., Stout, J. C., Bonner, J., et al. (2001). Effects of age on tissues and regions of the cerebrum and cerebellum. Neurobiology of Aging, 22, 581–594.PubMed

Johansen-Berg, H., & Behrens, T. E. (2006). Just pretty pictures? What diffusion tractography can add in clinical neuroscience. Current Opinion in Neurology, 19, 379–385.PubMed

Johansen-Berg, H., & Behrens, T. E. (eds). (2009). Diffusion MRI: From quantitative measurement to In vivo neuroanatomy. San Diego: Elsevier.

Jones, D. K. (2008). Studying connections in the living human brain with diffusion MRI. Cortex, 44, 936–952.PubMed

Kail, R. (1998). Speed of information processing in patients with multiple sclerosis. Journal of Clinical and Experimental Neuropsychology, 20, 98–106.PubMed

Kealey, S. M., Kim, Y., Whiting, W. L., Madden, D. J., & Provenzale, J. M. (2005). Determination of multiple sclerosis plaque size with diffusion-tensor MR Imaging: comparison study with healthy volunteers. Radiology, 236, 615–620.PubMed

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, 916–927.PubMed

Keys, B. A., & White, D. A. (2000). Exploring the relationship between age, executive abilities, and psychomotor speed. Journal of the International Neuropsychological Society, 6, 76–82.PubMed

Kramer, A. F., & Hillman, C. H. (2006). Aging, physical activity, and neurocognitive function. In E. Acevedo & P. Ekekakis (Eds.), Psychobiology of physical activity (pp. 45–60). Champaign: Human Kinetics.

Kramer, A. F., Hahn, S., Cohen, N. J., Banich, M. T., McAuley, E., Harrison, C. R., et al. (1999). Ageing, fitness and neurocognitive function. Nature, 400, 418–419.PubMed

LaBerge, D. (2000). Networks of attention. In M. S. Gazzaniga (Ed.), The new cognitive neurosciences (2nd ed., pp. 711–723). Cambridge: MIT.

Lawes, I. N., Barrick, T. R., Murugam, V., Spierings, N., Evans, D. R., Song, M., et al. (2008). Atlas-based segmentation of white matter tracts of the human brain using diffusion tensor tractography and comparison with classical dissection. Neuroimage, 39, 62–79.PubMed

Le Bihan, D. (2003). Looking into the functional architecture of the brain with diffusion MRI. Nature Reviews. Neuroscience, 4, 469–480.PubMed

Lindenberger, U., & Pötter, U. (1998). The complex nature of unique and shared effects in hierarchical linear regression: implications for developmental psychology. Psychological Methods, 3, 218–230.

Litvan, I., Grafman, J., Vendrell, P., & Martinez, J. M. (1988). Slowed information processing in multiple sclerosis. Archives of Neurology, 45, 281–285.PubMed

Liu, C., Bammer, R., Kim, D. H., & Moseley, M. E. (2004). Self-navigated interleaved spiral (SNAILS): application to high-resolution diffusion tensor imaging. Magnetic Resonance in Medicine, 52, 1388–1396.PubMed

Liu, C., Mang, S., & Moseley, M. E. (2009). In vivo generalized diffusion tensor imaging (GDTI) using higher-order tensors (HOT). Magnetic Resonance in Medicine.

Madden, D. J. (2001). Speed and timing of behavioral processes. In J. E. Birren & K. W. Schaie (Eds.), Handbook of the psychology of aging (5th ed., pp. 288–312). San Diego: Academic.

Madden, D. J. (2007). Aging and visual attention. Current Directions in Psychological Science, 16, 70–74.PubMed

Madden, D. J., Whiting, W. L., Huettel, S. A., White, L. E., MacFall, J. R., & Provenzale, J. M. (2004). Diffusion tensor imaging of adult age differences in cerebral white matter: relation to response time. Neuroimage, 21, 1174–1181.PubMed

Madden, D. J., Whiting, W. L., & Huettel, S. A. (2005). Age-related changes in neural activity during visual perception and attention. In R. Cabeza, L. Nyberg & D. Park (Eds.), Cognitive neuroscience of aging: Linking cognitive and cerebral aging (pp. 157–185). Oxford: Oxford University Press.

Madden, D. J., Spaniol, J., Whiting, W. L., Bucur, B., Provenzale, J. M., Cabeza, R., et al. (2007). Adult age differences in the functional neuroanatomy of visual attention: a combined fMRI and DTI study. Neurobiology of Aging, 28, 459–476.PubMed

Madden, D. J., Spaniol, J., Costello, M. C., Bucur, B., White, L. E., Cabeza, R., et al. (2009). Cerebral white matter integrity mediates adult age differences in cognitive performance. Journal of Cognitive Neuroscience, 21, 289–302.PubMed

Malloy, P., Correia, S., Stebbins, G., & Laidlaw, D. H. (2007). Neuroimaging of white matter in aging and dementia. The Clinical Neuropsychologist, 21, 73–109.PubMed

Marks, B. L., Madden, D. J., Bucur, B., Provenzale, J. M., White, L. E., Cabeza, R., et al. (2007). Role of aerobic fitness and aging on cerebral white matter integrity. Annals of the New York Academy of Sciences, 1097, 171–174.PubMed

Mesulam, M. M. (1990). Large-scale neurocognitive networks and distributed processing for attention, language, and memory. Annals of Neurology, 28, 597–613.PubMed

Mori, S. (2007). Introduction to diffusion tensor imaging. Amsterdam: Elsevier.

Mori, S., & van Zijl, P. C. (2002). Fiber tracking: principles and strategies—a technical review. NMR in Biomedicine, 15, 468–480.PubMed

Mori, S., & Zhang, J. (2006). Principles of diffusion tensor imaging and its applications to basic neuroscience research. Neuron, 51, 527–539.PubMed

Mori, S., Crain, B. J., Chacko, V. P., & van Zijl, P. C. (1999). Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Annals of Neurology, 45, 265–269.PubMed

Moseley, M. (2002). Diffusion tensor imaging and aging—a review. NMR in Biomedicine, 15, 553–560.PubMed

Mukherjee, P. (2005). Diffusion tensor imaging and fiber tractography in acute stroke. Neuroimaging Clinics of North America, 15, 655–665.PubMed

Nitkunan, A., Charlton, R. A., McIntyre, D. J., Barrick, T. R., Howe, F. A., & Markus, H. S. (2008). Diffusion tensor imaging and MR spectroscopy in hypertension and presumed cerebral small vessel disease. Magnetic Resonance in Medicine, 59, 528–534.PubMed

Nordahl, C. W., Ranganath, C., Yonelinas, A. P., Decarli, C., Fletcher, E., & Jagust, W. J. (2006). White matter changes compromise prefrontal cortex function in healthy elderly individuals. Journal of Cognitive Neuroscience, 18, 418–429.

Nucifora, P. G., Verma, R., Lee, S. K., & Melhem, E. R. (2007). Diffusion-tensor MR imaging and tractography: exploring brain microstructure and connectivity. Radiology, 245, 367–384.PubMed

Nusbaum, A. O., Tang, C. Y., Buchsbaum, M. S., Wei, T. C., & Atlas, S. W. (2001). Regional and global changes in cerebral diffusion with normal aging. AJNR. American Journal of Neuroradiology, 22, 136–142.PubMed

Oosterman, J. M., Sergeant, J. A., Weinstein, H. C., & Scherder, E. J. (2004). Timed executive functions and white matter in aging with and without cardiovascular risk factors. Reviews in the Neurosciences, 15, 439–462.PubMed

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, 632–638.PubMed

Parker, G. J., Haroon, H. A., & Wheeler-Kingshott, C. A. (2003). A framework for a streamline-based probabilistic index of connectivity (PICo) using a structural interpretation of MRI diffusion measurements. Journal of Magnetic Resonance Imaging, 18, 242–254.PubMed

Paus, T., Collins, D. L., Evans, A. C., Leonard, G., Pike, B., & Zijdenbos, A. (2001). Maturation of white matter in the human brain: a review of magnetic resonance studies. Brain Research Bulletin, 54, 255–266.PubMed

Peled, S. (2007). New perspectives on the sources of white matter DTI signal. IEEE Transactions on Medical Imaging, 26, 1448–1455.PubMed

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, 953–961.PubMed

Pfefferbaum, A., Sullivan, E. V., Hedehus, M., Lim, K. O., Adalsteinsson, E., & Moseley, M. (2000). Age-related decline in brain white matter anisotropy measured with spatially corrected echo-planar diffusion tensor imaging. Magnetic Resonance in Medicine, 44, 259–268.PubMed

Pierpaoli, C., & Basser, P. J. (1996). Toward a quantitative assessment of diffusion anisotropy. Magnetic Resonance in Medicine, 36, 893–906.PubMed

Pierpaoli, C., Barnett, A., Pajevic, S., Chen, R., Penix, L. R., Virta, A., et al. (2001). Water diffusion changes in Wallerian degeneration and their dependence on white matter architecture. Neuroimage, 13, 1174–1185.PubMed

Prins, N. D., van Dijk, E. J., den Heijer, T., Vermeer, S. E., Jolles, J., Koudstaal, P. J., et al. (2005). Cerebral small-vessel disease and decline in information processing speed, executive function and memory. Brain, 128, 2034–2041.PubMed

Rabbitt, P., Scott, M., Lunn, M., Thacker, N., Lowe, C., Pendleton, N., et al. (2007). White matter lesions account for all age-related declines in speed but not in intelligence. Neuropsychology, 21, 363–370.PubMed

Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001). A default mode of brain function. Proceedings of the National Academy of Sciences of the United States of America, 98, 676–682.PubMed

Ramnani, N., Behrens, T. E., Penny, W., & Matthews, P. M. (2004). New approaches for exploring anatomical and functional connectivity in the human brain. Biological Psychiatry, 56, 613–619.

Rao, S. M. (1995). Neuropsychology of multiple sclerosis. Current Opinion in Neurology, 8, 216–220.PubMed

Raz, N. (2000). Aging of the brain and its impact on cognitive performance: Integration of structural and functional findings. In F. I. M. Craik & T. A. Salthouse (Eds.), Handbook of aging and cognition (2nd ed., pp. 1–90). Mahwah: Erlbaum.

Raz, N., Rodrigue, K. M., & Acker, J. D. (2003). Hypertension and the brain: vulnerability of the prefrontal regions and executive functions. Behavioral Neuroscience, 117, 1169–1180.PubMed

Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., et al. (2005). Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. Cerebral Cortex, 15, 1676–1689.PubMed

Raz, N., Rodrigue, K. M., Kennedy, K. M., & Acker, J. D. (2007). Vascular health and longitudinal changes in brain and cognition in middle-aged and older adults. Neuropsychology, 21, 149–157.PubMed

Reese, T. G., Heid, O., Weisskoff, R. M., & Wedeen, V. J. (2003). Reduction of eddy-current-induced distortion in diffusion MRI using a twice-refocused spin echo. Magnetic Resonance in Medicine, 49, 177–182.PubMed

Regan, D., Silver, R., & Murray, T. J. (1977). Visual acuity and contrast sensitivity in multiple sclerosis-hidden visual loss: an auxiliary diagnostic test. Brain, 100, 563–579.PubMed

Rocca, M. A., Pagani, E., Absinta, M., Valsasina, P., Falini, A., Scotti, G., et al. (2007). Altered functional and structural connectivities in patients with MS: a 3-T study. Neurology, 69, 2136–2145.PubMed

Rodriguez-Aranda, C., & Sundet, K. (2006). The frontal hypothesis of cognitive aging: factor structure and age effects on four frontal tests among healthy individuals. Journal of Genetic Psychology, 167, 269–287.PubMed

Rosenthal, R., & DiMatteo, M. R. (2001). Meta-analysis: recent developments in quantitative methods for literature reviews. Annual Review of Psychology, 52, 59–82.PubMed

Rovaris, M., Iannucci, G., Cercignani, M., Sormani, M. P., De Stefano, N., Gerevini, S., et al. (2003). Age-related changes in conventional, magnetization transfer, and diffusion-tensor MR imaging findings: study with whole-brain tissue histogram analysis. Radiology, 227, 731–738.PubMed

Salat, D. H., Kaye, J. A., & Janowsky, J. S. (1999). Prefrontal gray and white matter volumes in healthy aging and Alzheimer disease. Archives of Neurology, 56, 338–344.PubMed

Salat, D. H., Tuch, D. S., Greve, D. N., van der Kouwe, A. J., Hevelone, N. D., Zaleta, A. K., et al. (2005). Age-related alterations in white matter microstructure measured by diffusion tensor imaging. Neurobiology of Aging, 26, 1215–1227.PubMed

Salthouse, T. A. (1992). Mechanisms of age-cognition relations in adulthood. Hillsdale: Erlbaum.

Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103, 403–428.PubMed

Salthouse, T. A., & Madden, D. J. (2007). Information processing speed and aging. In J. Deluca & J. Kalmar (Eds.), Information processing speed in clinical populations (pp. 221–241). New York: Psychology.

Salthouse, T. A., Fristoe, N., & Rhee, S. H. (1996). How localized are age-related effects on neuropsychological measures? Neuropsychology, 10, 272–285.

Salthouse, T. A., Atkinson, T. M., & Berish, D. E. (2003). Executive functioning as a potential mediator of age-related cognitive decline in normal adults. Journal of Experimental Psychology: General, 132, 566–594.

Sambataro, F., Murty, V. P., Callicott, J. H., Tan, H. Y., Das, S., Weinberger, D. R., et al. (2008). Age-related alterations in default mode network: Impact on working memory performance. Neurobiology of Aging.

Schmahmann, J. D., Pandya, D. N., Wang, R., Dai, G., D’Arceuil, H. E., de Crespigny, A. J., et al. (2007). Association fibre pathways of the brain: parallel observations from diffusion spectrum imaging and autoradiography. Brain, 130, 630–653.PubMed

Schulte, T., Sullivan, E. V., Muller-Oehring, E. M., Adalsteinsson, E., & Pfefferbaum, A. (2005). Corpus callosal microstructural integrity influences interhemispheric processing: a diffusion tensor imaging study. Cerebral Cortex, 15, 1384–1392.PubMed

Shenkin, S. D., Bastin, M. E., MacGillivray, T. J., Deary, I. J., Starr, J. M., & Wardlaw, J. M. (2003). Childhood and current cognitive function in healthy 80-year-olds: a DT-MRI study. Neuroreport, 14, 345–349.PubMed

Shenkin, S. D., Bastin, M. E., Macgillivray, T. J., Deary, I. J., Starr, J. M., Rivers, C. S., et al. (2005). Cognitive correlates of cerebral white matter lesions and water diffusion tensor parameters in community-dwelling older people. Cerebrovascular Disorders, 20, 310–318.

Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E., Johansen-Berg, H., et al. (2004). Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage, 23, S208–219.PubMed

Smith, S. M., Jenkinson, M., Johansen-Berg, H., Rueckert, D., Nichols, T. E., Mackay, C. E., et al. (2006). Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage, 31, 1487–1505.PubMed

Smith, S. M., Johansen-Berg, H., Jenkinson, M., Rueckert, D., Nichols, T. E., Miller, K. L., et al. (2007). Acquisition and voxelwise analysis of multi-subject diffusion data with tract-based spatial statistics. Nature Protocols, 2, 499–503.PubMed

Song, S. K., Sun, S. W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002). Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water. Neuroimage, 17, 1429–1436.PubMed

Song, S. K., Kim, J. H., Lin, S. J., Brendza, R. P., & Holtzman, D. M. (2004). Diffusion tensor imaging detects age-dependent white matter changes in a transgenic mouse model with amyloid deposition. Neurobiology of Disease, 15, 640–647.PubMed

Stufflebeam, S. M., Witzel, T., Mikulski, S., Hamalainen, M. S., Temereanca, S., Barton, J. J., et al. (2008). A non-invasive method to relate the timing of neural activity to white matter microstructural integrity. Neuroimage, 42, 710–716.PubMed

Sullivan, E. V., & Pfefferbaum, A. (2006). Diffusion tensor imaging and aging. Neuroscience and Biobehavioral Reviews, 30, 749–761.PubMed

Sullivan, E. V., & Pfefferbaum, A. (2007). Neuroradiological characterization of normal adult ageing. British Journal of Radiology, 80, S99–108.PubMed

Sullivan, E. V., Adalsteinsson, E., Hedehus, M., Ju, C., Moseley, M., Lim, K. O., et al. (2001). Equivalent disruption of regional white matter microstructure in ageing healthy men and women. Neuroreport, 12, 99–104.PubMed

Sullivan, E. V., Adalsteinsson, E., & Pfefferbaum, A. (2006). Selective age-related degradation of anterior callosal fiber bundles quantified in vivo with fiber tracking. Cerebral Cortex, 16, 1030–1039.PubMed

Sullivan, E. V., Rohlfing, T., & Pfefferbaum, A. (2008). Quantitative fiber tracking of lateral and interhemispheric white matter systems in normal aging: relations to timed performance. Neurobiology of Aging.

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, 1195–1204.PubMed

Sun, S. W., Liang, H. F., Schmidt, R. E., Cross, A. H., & Song, S. K. (2007). Selective vulnerability of cerebral white matter in a murine model of multiple sclerosis detected using diffusion tensor imaging. Neurobiology of Disease, 28, 30–38.PubMed

Thomas, C., Moya, L., Avidan, G., Humphreys, K., Jung, K. J., Peterson, M. A., et al. (2008). Reduction in white matter connectivity, revealed by diffusion tensor imaging, may account for age-related changes in face perception. Journal of Cognitive Neuroscience, 20, 268–284.PubMed

Thornton, A. E., & Raz, N. (1997). Memory impairment in multiple sclerosis: a quantitative review. Neuropsychology, 11, 357–366.PubMed

Truong, T. K., Chen, B., & Song, A. W. (2008). Integrated SENSE DTI with correction of susceptibility- and eddy current-induced geometric distortions. Neuroimage, 40, 53–58.PubMed

Tuch, D. S., Reese, T. G., Wiegell, M. R., & Wedeen, V. J. (2003). Diffusion MRI of complex neural architecture. Neuron, 40, 885–895.PubMed

Tuch, D. S., Salat, D. H., Wisco, J. J., Zaleta, A. K., Hevelone, N. D., & Rosas, H. D. (2005). Choice reaction time performance correlates with diffusion anisotropy in white matter pathways supporting visuospatial attention. Proceedings of the National Academy of Sciences of the United States of America, 102, 12212–12217.PubMed

Turken, A., Whitfield-Gabrieli, S., Bammer, R., Baldo, J. V., Dronkers, N. F., & Gabrieli, J. D. (2008). Cognitive processing speed and the structure of white matter pathways: convergent evidence from normal variation and lesion studies. Neuroimage, 42, 1032–1044.PubMed

van den Heuvel, D. M., ten Dam, V. H., de Craen, A. J., Admiraal-Behloul, F., Olofsen, H., Bollen, E. L., et al. (2006). Increase in periventricular white matter hyperintensities parallels decline in mental processing speed in a non-demented elderly population. Journal of Neurology, Neurosurgery and Psychiatry, 77, 149–153.

van den Heuvel, M., Mandl, R., Luigjes, J., & Hulshoff Pol, H. (2008). Microstructural organization of the cingulum tract and the level of default mode functional connectivity. Journal of Neuroscience, 28, 10844–10851.PubMed

Vernooij, M. W., de Groot, M., van der Lugt, A., Ikram, M. A., Krestin, G. P., Hofman, A., et al. (2008). White matter atrophy and lesion formation explain the loss of structural integrity of white matter in aging. Neuroimage, 43, 470–477.PubMed

Vernooij, M. W., Ikram, M. A., Vrooman, H. A., Wielopolski, P. A., Krestin, G. P., Hofman, A., et al. (2009). White matter microstructural integrity and cognitive function in a general elderly population. Archives of General Psychiatry, 66, 545–553.PubMed

Virta, A., Barnett, A., & Pierpaoli, C. (1999). Visualizing and characterizing white matter fiber structure and architecture in the human pyramidal tract using diffusion tensor MRI. Magnetic Resonance Imaging, 17, 1121–1133.PubMed

Wakana, S., Jiang, H., Nagae-Poetscher, L. M., van Zijl, P. C., & Mori, S. (2004). Fiber tract-based atlas of human white matter anatomy. Radiology, 230, 77–87.PubMed

Wheeler-Kingshott, C. A., & Cercignani, M. (2009). About “axial” and “radial” diffusivities. Magnetic Resonance in Medicine, 61, 1255–1260.PubMed

Wozniak, J. R., & Lim, K. O. (2006). Advances in white matter imaging: a review of in vivo magnetic resonance methodologies and their applicability to the study of development and aging. Neuroscience and Biobehavioral Reviews, 30, 762–774.PubMed

Wu, T., Zang, Y., Wang, L., Long, X., Hallett, M., Chen, Y., et al. (2007). Aging influence on functional connectivity of the motor network in the resting state. Neuroscience Letters, 422, 164–168.PubMed

Yoon, B., Shim, Y. S., Lee, K. S., Shon, Y. M., & Yang, D. W. (2008). Region-specific changes of cerebral white matter during normal aging: a diffusion-tensor analysis. Archives of Gerontology and Geriatrics, 47, 129–138.PubMed

Yu, C., Zhu, C., Zhang, Y., Chen, H., Qin, W., Wang, M., et al. (2009). A longitudinal diffusion tensor imaging study on Wallerian degeneration of corticospinal tract after motor pathway stroke. Neuroimage, 47, 451–458.PubMed

Zahr, N. M., Rohlfing, T., Pfefferbaum, A., & Sullivan, E. V. (2009). Problem solving, working memory, and motor correlates of association and commissural fiber bundles in normal aging: a quantitative fiber tracking study. Neuroimage, 44, 1050–1062.PubMed

Zhang, Y., Du, A. T., Hayasaka, S., Jahng, G. H., Hlavin, J., Zhan, W., et al. (2008). Patterns of age-related water diffusion changes in human brain by concordance and discordance analysis. Neurobiology of Aging.

Ziegler, D. A., Piguet, O., Salat, D. H., Prince, K., Connally, E., & Corkin, S. (2008). Cognition in healthy aging is related to regional white matter integrity, but not cortical thickness. Neurobiology of Aging.

Titel: Cerebral White Matter Integrity and Cognitive Aging: Contributions from Diffusion Tensor Imaging
verfasst von: David J. Madden
Ilana J. Bennett
Allen W. Song
Publikationsdatum: 01.12.2009
Verlag: Springer US
Erschienen in: Neuropsychology Review / Ausgabe 4/2009
Print ISSN: 1040-7308
Elektronische ISSN: 1573-6660
DOI: https://doi.org/10.1007/s11065-009-9113-2

Leitlinien kompakt für die Neurologie

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Neurologie

Akuter Schwindel: Wann lohnt sich eine MRT?

28.04.2024 Schwindel Nachrichten

Akuter Schwindel stellt oft eine diagnostische Herausforderung dar. Wie nützlich dabei eine MRT ist, hat eine Studie aus Finnland untersucht. Immerhin einer von sechs Patienten wurde mit akutem ischämischem Schlaganfall diagnostiziert.

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

25.04.2024 Hypotonie Nachrichten

Wenn unter einer medikamentösen Hochdrucktherapie der diastolische Blutdruck in den Keller geht, steigt das Risiko für schwere kardiovaskuläre Ereignisse: Darauf deutet eine Sekundäranalyse der SPRINT-Studie hin.

Frühe Alzheimertherapie lohnt sich

25.04.2024 AAN-Jahrestagung 2024 Nachrichten

Ist die Tau-Last noch gering, scheint der Vorteil von Lecanemab besonders groß zu sein. Und beginnen Erkrankte verzögert mit der Behandlung, erreichen sie nicht mehr die kognitive Leistung wie bei einem früheren Start. Darauf deuten neue Analysen der Phase-3-Studie Clarity AD.

Viel Bewegung in der Parkinsonforschung

25.04.2024 Parkinson-Krankheit Nachrichten

Neue arznei- und zellbasierte Ansätze, Frühdiagnose mit Bewegungssensoren, Rückenmarkstimulation gegen Gehblockaden – in der Parkinsonforschung tut sich einiges. Auf dem Deutschen Parkinsonkongress ging es auch viel um technische Innovationen.

Update Neurologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 4/2009

Implicit Learning in Aging: Extant Patterns and New Directions

Aging and Spatial Navigation: What Do We Know and Where Do We Go?

Cognitive Aging Research: An Exciting Time for a Maturing Field

Aging, Training, and the Brain: A Review and Future Directions

Beta-Amyloid Deposition and the Aging Brain