Cerebral White Matter Integrity and Cognitive Aging: Contributions from Diffusion Tensor Imaging (original) (raw)

References

• 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 Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• Bartzokis, G. (2004). Age-related myelin breakdown: a developmental model of cognitive decline and Alzheimer’s disease. Neurobiology of Aging, 25, 5–18.
  CAS PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• Beaulieu, C. (2002). The basis of anisotropic water diffusion in the nervous system—a technical review. NMR in Biomedicine, 15, 435–455.
  PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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.
  Google Scholar
• Catani, M. (2006). Diffusion tensor magnetic resonance imaging tractography in cognitive disorders. Current Opinion in Neurology, 19, 599–606.
  PubMed Google Scholar
• Catani, M. (2007). From hodology to function. Brain, 130, 602–605.
  PubMed Google Scholar
• Catani, M., & Ffytche, D. H. (2005). The rises and falls of disconnection syndromes. Brain, 128, 2224–2239.
  PubMed Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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.
  Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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.
  Google Scholar
• Filippi, M., Cercignani, M., Inglese, M., Horsfield, M. A., & Comi, G. (2001). Diffusion tensor magnetic resonance imaging in multiple sclerosis. Neurology, 56, 304–311.
  CAS PubMed Google Scholar
• Filley, C. M. (2005). White matter and behavioral neurology. Annals of the New York Academy of Sciences, 1064, 162–183.
  PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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.
  Google Scholar
• Galvin, R. J., Heron, J. R., & Regan, D. (1977). Subclinical optic neuropathy in multiple sclerosis. Archives of Neurology, 34, 666–670.
  CAS PubMed Google Scholar
• 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 Google Scholar
• Geschwind, N. (1965a). Disconnexion syndromes in animals and man. I. Brain, 88, 237–294.
  CAS PubMed Google Scholar
• Geschwind, N. (1965b). Disconnexion syndromes in animals and man. II. Brain, 88, 585–644.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• Grady, C. L. (2008). Cognitive neuroscience of aging. Annals of the New York Academy of Sciences, 1124, 127–144.
  PubMed Google Scholar
• Greenwood, P. M. (2000). The frontal aging hypothesis evaluated. Journal of the International Neuropsychological Society, 6, 705–726.
  CAS PubMed Google Scholar
• Greenwood, P. M. (2007). Functional plasticity in cognitive aging: review and hypothesis. Neuropsychology, 21, 657–673.
  CAS PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• Gunning-Dixon, F. M., & Raz, N. (2000). The cognitive correlates of white matter abnormalities in normal aging: a quantitative review. Neuropsychology, 14, 224–232.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• Johansen-Berg, H., & Behrens, T. E. (eds). (2009). Diffusion MRI: From quantitative measurement to In vivo neuroanatomy. San Diego: Elsevier.
  Google Scholar
• Jones, D. K. (2008). Studying connections in the living human brain with diffusion MRI. Cortex, 44, 936–952.
  PubMed Google Scholar
• Kail, R. (1998). Speed of information processing in patients with multiple sclerosis. Journal of Clinical and Experimental Neuropsychology, 20, 98–106.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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.
  Google Scholar
• 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.
  CAS PubMed Google Scholar
• LaBerge, D. (2000). Networks of attention. In M. S. Gazzaniga (Ed.), The new cognitive neurosciences (2nd ed., pp. 711–723). Cambridge: MIT.
  Google Scholar
• 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 Google Scholar
• Le Bihan, D. (2003). Looking into the functional architecture of the brain with diffusion MRI. Nature Reviews. Neuroscience, 4, 469–480.
  PubMed Google Scholar
• 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.
  Google Scholar
• Litvan, I., Grafman, J., Vendrell, P., & Martinez, J. M. (1988). Slowed information processing in multiple sclerosis. Archives of Neurology, 45, 281–285.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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.
  Google Scholar
• Madden, D. J. (2007). Aging and visual attention. Current Directions in Psychological Science, 16, 70–74.
  PubMed Google Scholar
• 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 Google Scholar
• 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.
  Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• Mesulam, M. M. (1990). Large-scale neurocognitive networks and distributed processing for attention, language, and memory. Annals of Neurology, 28, 597–613.
  CAS PubMed Google Scholar
• Mori, S. (2007). Introduction to diffusion tensor imaging. Amsterdam: Elsevier.
  Google Scholar
• Mori, S., & van Zijl, P. C. (2002). Fiber tracking: principles and strategies—a technical review. NMR in Biomedicine, 15, 468–480.
  PubMed Google Scholar
• Mori, S., & Zhang, J. (2006). Principles of diffusion tensor imaging and its applications to basic neuroscience research. Neuron, 51, 527–539.
  CAS PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• Moseley, M. (2002). Diffusion tensor imaging and aging—a review. NMR in Biomedicine, 15, 553–560.
  PubMed Google Scholar
• Mukherjee, P. (2005). Diffusion tensor imaging and fiber tractography in acute stroke. Neuroimaging Clinics of North America, 15, 655–665.
  PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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.
  Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• Peled, S. (2007). New perspectives on the sources of white matter DTI signal. IEEE Transactions on Medical Imaging, 26, 1448–1455.
  PubMed Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• Pierpaoli, C., & Basser, P. J. (1996). Toward a quantitative assessment of diffusion anisotropy. Magnetic Resonance in Medicine, 36, 893–906.
  CAS PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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.
  Google Scholar
• Rao, S. M. (1995). Neuropsychology of multiple sclerosis. Current Opinion in Neurology, 8, 216–220.
  CAS PubMed Google Scholar
• 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.
  Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• Rosenthal, R., & DiMatteo, M. R. (2001). Meta-analysis: recent developments in quantitative methods for literature reviews. Annual Review of Psychology, 52, 59–82.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• Salthouse, T. A. (1992). Mechanisms of age-cognition relations in adulthood. Hillsdale: Erlbaum.
  Google Scholar
• Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103, 403–428.
  CAS PubMed Google Scholar
• 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.
  Google Scholar
• Salthouse, T. A., Fristoe, N., & Rhee, S. H. (1996). How localized are age-related effects on neuropsychological measures? Neuropsychology, 10, 272–285.
  Google Scholar
• 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.
  Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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.
  CAS Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• Sullivan, E. V., & Pfefferbaum, A. (2006). Diffusion tensor imaging and aging. Neuroscience and Biobehavioral Reviews, 30, 749–761.
  PubMed Google Scholar
• Sullivan, E. V., & Pfefferbaum, A. (2007). Neuroradiological characterization of normal adult ageing. British Journal of Radiology, 80, S99–108.
  PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• Thornton, A. E., & Raz, N. (1997). Memory impairment in multiple sclerosis: a quantitative review. Neuropsychology, 11, 357–366.
  CAS PubMed Google Scholar
• 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 Google Scholar
• Tuch, D. S., Reese, T. G., Wiegell, M. R., & Wedeen, V. J. (2003). Diffusion MRI of complex neural architecture. Neuron, 40, 885–895.
  CAS PubMed Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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.
  Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• Wheeler-Kingshott, C. A., & Cercignani, M. (2009). About “axial” and “radial” diffusivities. Magnetic Resonance in Medicine, 61, 1255–1260.
  PubMed Google Scholar
• 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 Google Scholar
• 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.
  CAS PubMed Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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 Google Scholar
• 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.

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