Quantitative fiber tracking of lateral and interhemispheric white matter systems in normal aging: relations to timed performance
Open accessAbstract
The integrity of white matter, as measured in vivo with diffusion tensor imaging (DTI), is disrupted in normal aging. A current consensus is that in adults advancing age affects anterior brain regions disproportionately more than posterior regions; however, the mainstay of studies supporting this anterior-posterior gradient is based primarily on measures of the corpus callosum. Using our quantitative fiber tracking approach, we assessed fiber tract integrity of samples of major white matter cortical, subcortical, interhemispheric, and cerebellar systems (11 bilateral and 2 callosal) on DTI data collected at 1.5T magnet strength. Participants were 55 men (age 20-78 years) and 65 women (age 28-81 years), deemed healthy and cognitively intact following interview and behavioral testing. Fiber integrity was measured as orientational diffusion coherence (fractional anisotropy, FA) and magnitude of diffusion, which was quantified separately for longitudinal diffusivity (lambdaL), an index of axonal length or number, and transverse diffusivity (lambdaT), an index of myelin integrity. Aging effects were more evident in diffusivity than FA measures. Men and women, examined separately, showed similar age-related increases in longitudinal and transverse diffusivity in fibers of the internal and external capsules bilaterally and the fornix. FA was lower and diffusivity higher in anterior than posterior fibers of regional paired comparisons (genu versus splenium and frontal versus occipital forceps). Diffusivity with older age was generally greater or FA lower in the superior than inferior fiber systems (longitudinal fasciculi, cingulate bundles), with little to no evidence for age-related degradation in pontine or cerebellar systems. The most striking sex difference emerged for the corpus callosum, for which men showed significant decline in FA and increase in longitudinal and transverse diffusivity in the genu but not splenium. By contrast, in women the age effect was present in both callosal regions, albeit modestly more so in the genu than splenium. Functional meaningfulness of these age-related differences was supported by significant correlations between DTI signs of white matter degradation and poorer performance on cognitive or motor tests. This survey of multiple fiber systems throughout the brain revealed a differential pattern of age's effect on regional FA and diffusivity and suggests mechanisms of functional degradation, attributed at least in part to compromised fiber microstructure affecting myelin and axonal morphology.
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Across brain systems, prefrontal association tracts are the most vulnerable to aging, while cingulum, temporal and parietal-occipital commissural connections are relatively preserved.
“revealing a typical spatial degeneration pattern across brain systems in which prefrontal association tracts are the most vulnerable to aging, while cingulum, temporal and parietal-occipital commissural connections are relatively preserved.”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Sullivan et al., 2010
The Results (section 3.3) identify the frontal forceps as having the most prominent age-related FA decrease, and the Discussion (section 4) describes greater susceptibility in anterior than posterior bundles. But the proposed preservation is too broad: section 4 reports age-related changes in the superior cingulum, while section 3.4 reports significant age effects in temporal and parietal callosal sectors. Page numbers are unavailable in our copy. (LLM, conf=0.87)
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- Aboitiz F, Rodriguez E, Olivares R, Zaidel E. Age-related changes in fibre composition of the human corpus callosum: sex differences. Neuroreport. 1996;7(11):1761–1764. doi: 10.1097/00001756-199607290-00013. [DOI] [PubMed] [Google Scholar] · DOI
- Baloh RW, Ying SH, Jacobson KM. A longitudinal study of gait and balance dysfunction in normal older people. Arch. Neurol. 2003;60(6):835–839. doi: 10.1001/archneur.60.6.835. [DOI] [PubMed] [Google Scholar] · DOI
- Barnea-Goraly N, Menon V, Eckert M, Tamm L, Bammer R, Karchemskiy A, Dant CC, Reiss AL. White matter development during childhood and adolescence: a cross-sectional diffusion tensor imaging study. Cereb. Cortex. 2005;15(12):1848–1854. doi: 10.1093/cercor/bhi062. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Basser PJ. Inferring microstructural features and the physiological state of tissues from diffusion-weighted images. NMR Biomed. 1995;8(78):333–344. doi: 10.1002/nbm.1940080707. [DOI] [PubMed] [Google Scholar] · DOI
- Bhagat YA, Beaulieu C. Diffusion anisotropy in subcortical white matter and cortical gray matter: changes with aging and the role of CSF-suppression. J. Magn. Reson. Imaging. 2004;20(2):216–227. doi: 10.1002/jmri.20102. [DOI] [PubMed] [Google Scholar] · DOI
- Blatter DD, Bigler ED, Gale SD, Johnson SC, Anderson C, Burnett BM, Parker N, Kurth S, Horn S. Quantitative volumetric analysis of brain MRI: normative database spanning five decades of life. Am. J. Neuroradiol. 1995;16(2):241–245. [PMC free article] [PubMed] [Google Scholar]
- Bucur B, Madden DJ, Spaniol J, Provenzale JM, Cabeza R, White LE, Huettel SA. Age-related slowing of memory retrieval: contributions of perceptual speed and cerebral white matter integrity. Neurobiol. Aging. 2007 doi: 10.1016/j.neurobiolaging.2007.02.008. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Butler EE, Druizin M, Sullivan EV. Gait changes and adaptations in adulthood: pregnancy, aging, and alcoholism. In: Rose J, Gamble JG, editors. Human Walking. 3rd ed. Lippincott, Williams and Wilkins; Philadelphia, MD: 2006. pp. 131–147. [Google Scholar]
- Cahn DA, Malloy PF, Salloway S, Rogg J, Gillard E, Kohn R, Tung G, Richardson ED, Westlake R. Subcortical hyperintensities on MRI and activities of daily living in geriatric depression. J. Neuropsychiatry Clin. Neurosci. 1996;8:404–411. doi: 10.1176/jnp.8.4.404. [DOI] [PubMed] [Google Scholar] · DOI
- Charlton R, Landau S, Schiavone F, Barrick TR, Clark CA, Markus HS, Morris RG. A structural equation modeling investigation of age-related variance in executive function and DTI measured white matter damage. Neurobiol. Aging. 2007 doi: 10.1016/j.neurobiolaging.2007.03.017. doi:10.1016/j.neurobiolaging.2007.03.017. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Chen ZG, Li TQ, Hindmarsh T. Diffusion tensor trace mapping in normal adult brain using single-shot EPI technique. A methodological study of the aging brain. Acta Radiol. 2001;42(5):447–458. doi: 10.1080/028418501127347160. [DOI] [PubMed] [Google Scholar] · DOI
- Chepuri NB, Yen YF, Burdette JH, Li H, Moody DM, Maldjian JA. Diffusion anisotropy in the corpus callosum. Am. J. Neuroradiol. 2002;23(5):803–808. [PMC free article] [PubMed] [Google Scholar]
- Chun T, Filippi CG, Zimmerman RD, Ulug AM. Diffusion changes in the aging human brain. Am. J. Neuroradiol. 2000;21(6):1078–1083. [PMC free article] [PubMed] [Google Scholar]
- Corkin S, Growdon JH, Sullivan EV, Nissen MJ, Huff FJ. Assessing treatment effects from a neuropsychological perspective. In: Poon L, editor. Handbook of Clinical Memory Assessment in Older Adults. American Psychological Association; Washington, DC: 1986. pp. 156–167. [Google Scholar]
- Courchesne E, Chisum HJ, Townsend J, Cowles A, Covington J, Egaas B, Harwood M, Hinds S, Press GA. Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers. Radiology. 2000;216(3):672–682. doi: 10.1148/radiology.216.3.r00au37672. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Craik FIM, Salthouse TA. The Handbook of Aging and Cognition. 3rd ed. Psychology Press; New York: 2008. p. 657. [Google Scholar]
- Crovitz HF, Zener KA. Group test for assessing hand and eye dominance. Am. J. Psychol. 1962;75:271–276. [PubMed] [Google Scholar]
- Dennis NA, Cabeza R. Neuroimaging of healthy cognitive aging. In: Craik FIM, Salthouse TA, editors. The Handbook of Aging and Cognition. 3rd ed. Psychology Press; New York: 2008. pp. 1–54. [Google Scholar]
- Engelter ST, Provenzale JM, Petrella JR, DeLong DM, MacFall JR. The effect of aging on the apparent diffusion coefficient of normal-appearing white matter. Am. J. Roentgenol. 2000;175(2):425–430. doi: 10.2214/ajr.175.2.1750425. [DOI] [PubMed] [Google Scholar] · DOI
- Fazekas F, Ropele S, Enzinger C, Gorani F, Seewann A, Petrovic K, Schmidt R. MTI of white matter hyperintensities. Brain. 2005;128:2926–2932. doi: 10.1093/brain/awh567. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Fillard P, Gerig G. Analysis tool for diffusion tensor MRI; Proceedings of Medical Image Computing and Computer-assisted Intervention Lecture Notes in Computer Science; Saint-Malo, France, Springer. 2003.pp. 967–968. [Google Scholar]
- First MB, Spitzer RL, Gibbon M, Williams JBW. Structured Clinical Interview for DSM-IV Axis I Disorders (SCID) Version 2.0. Biometrics Research Department, New York State Psychiatric Institute; New York, NY: 1998. [Google Scholar]
- Foong J, Maier M, Clark C, Barker G, Miller D, Ron M. Neuropathological abnormalities of the corpus callosum in schizophrenia: a diffusion tensor imaging study. J. Neurol. Neurosurg. Psychiatry. 2000;68(2):242–244. doi: 10.1136/jnnp.68.2.242. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Fregly AR, Graybiel A, Smith MS. Walk on floor eyes closed (WOFEC): a new addition to an ataxia test battery. Aerosp. Med. 1972;43(4):395–399. [PubMed] [Google Scholar]
- Gerig G, Corouge I, Vachet C, Krishnan KR, MacFall JR. Quantitative analysis of diffusion properties of white matter fiber tracts: a validation study; 13th Proceedings of the International Society for Magnetic Resonance in Medicine; Miami, FL. 2005; Abstract no. 1337. [Google Scholar]
- Gilmore JH, Lin W, Corouge I, Vetsa YS, Smith JK, Kang C, Gu H, Hamer RM, Lieberman JA, Gerig G. Early postnatal development of corpus callosum and corticospinal white matter assessed with quantitative tractography. Am. J. Neuroradiol. 2007;28(9):1789–1795. doi: 10.3174/ajnr.A0751. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Grieve SM, Williams LM, Paul RH, Clark CR, Gordon E. Cognitive aging, executive function, and fractional anisotropy: a diffusion tensor MR imaging study. Am. J. Neuroradiol. 2007;28(2):226–235. [PMC free article] [PubMed] [Google Scholar]
- Head D, Buckner RL, Shimony JS, Williams LE, Akbudak E, Conturo TE, McAvoy M, Morris JC, Snyder AZ. Differential vulnerability of anterior white matter in nondemented aging with minimal acceleration in dementia of the Alzheimer type: evidence from diffusion tensor imaging. Cereb. Cortex. 2004;14(4):410–423. doi: 10.1093/cercor/bhh003. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Helenius J, Soinne L, Perkio J, Salonen O, Kangasmaki A, Kaste M, Carano RA, Aronen HJ, Tatlisumak T. Diffusion-weighted MR imaging in normal human brains in various age groups. Am. J. Neuroradiol. 2002;23(2):194–199. [PMC free article] [PubMed] [Google Scholar]
- Hollingshead A, Redlich F. Social Class and Mental Illness. John Wiley and Sons; New York: 1958. pp. 398–407. [Google Scholar]
- Hsu JL, Leemans A, Bai CH, Lee CH, Tsai YF, Chiu HC, Chen WH. Gender differences and age-related white matter changes of the human brain: a diffusion tensor imaging study. NeuroImage. 2008;39(2):566–577. doi: 10.1016/j.neuroimage.2007.09.017. [DOI] [PubMed] [Google Scholar] · DOI
- Johannsen P, Jakobsen J, Bruhn P, Hansen SB, Gee A, Stodkilde-Jorgensen H, Gjedde A. Cortical sites of sustained and divided attention in normal elderly humans. NeuroImage. 1997;6(3):145–155. doi: 10.1006/nimg.1997.0292. [DOI] [PubMed] [Google Scholar] · DOI
- Kemper TL. Neuroanatomical and neuropathological changes during aging and dementia. In: Albert ML, Knoefel JE, editors. Clinical Neurology of Aging. 2nd ed. Oxford University Press; New York: 1994. pp. 3–67. [Google Scholar]
- Kochunov P, Thompson PM, Lancaster JL, Bartzokis G, Smith S, Coyle T, Royall DR, Laird A, Fox PT. Relationship between white matter fractional anisotropy and other indices of cerebral health in normal aging: tract-based spatial statistics study of aging. NeuroImage. 2007;35(2):478–487. doi: 10.1016/j.neuroimage.2006.12.021. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Learned-Miller EG. Data driven image models through continuous joint alignment. IEEE Trans Pattern Anal. Mach. Intell. 2006;28:236–250. doi: 10.1109/TPAMI.2006.34. [DOI] [PubMed] [Google Scholar] · DOI
- Lehericy S, Ducros M, Van de Moortele PF, Francois C, Thivard L, Poupon C, Swindale N, Ugurbil K, Kim DS. Diffusion tensor fiber tracking shows distinct corticostriatal circuits in humans. Ann. Neurol. 2004;55(4):522–529. doi: 10.1002/ana.20030. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Madden DJ, Spaniol J, Whiting WL, Bucur B, Provenzale JM, Cabeza R, White LE, Huettel SA. Adult age differences in the functional neuroanatomy of visual attention: a combined fMRI and DTI study. Neurobiol. Aging. 2007;28(3):459–476. doi: 10.1016/j.neurobiolaging.2006.01.005. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Madden DJ, Whiting WL, Huettel SA, White LE, MacFall JR, Provenzale JM. Diffusion tensor imaging of adult age differences in cerebral white matter: relation to response time. NeuroImage. 2004;21(3):1174–1181. doi: 10.1016/j.neuroimage.2003.11.004. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Makris N, Papadimitriou GM, van der Kouwe A, Kennedy DN, Hodge SM, Dale AM, Benner T, Wald LL, Wu O, Tuch DS, Caviness VS, Moore TL, Killiany RJ, Moss MB, Rosene DL. Frontal connections and cognitive changes in normal aging rhesus monkeys: A DTI study. Neurobiol. Aging. 2007;28(10):1556–1567. doi: 10.1016/j.neurobiolaging.2006.07.005. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Meier-Ruge W, Ulrich J, Bruhlmann M, Meier E. Age-related white matter atrophy in the human brain. Ann. N. Y. Acad. Sci. 1992;673:260–269. doi: 10.1111/j.1749-6632.1992.tb27462.x. [DOI] [PubMed] [Google Scholar] · DOI
- Minati L, Grisoli M, Bruzzone MG. MR spectroscopy, functional MRI, and diffusion-tensor imaging in the aging brain: a conceptual review. J. Geriatr. Psychiatry Neurol. 2007;20(1):3–21. doi: 10.1177/0891988706297089. [DOI] [PubMed] [Google Scholar] · DOI
- Mori S, Crain BJ, Chacko VP, van Zijl PC. Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann. Neurol. 1999;45:265–269. doi: 10.1002/1531-8249(199902)45:2<265::aid-ana21>3.0.co;2-3. [DOI] [PubMed] [Google Scholar] · DOI
- Moseley M. Diffusion tensor imaging and aging - a review. NMR Biomed. 2003;15:553–560. doi: 10.1002/nbm.785. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Moseley ME, Mintorovitch J, Cohen Y, Asgari HS, Derugin N, Norman D, Kucharczyk J. Early detection of ischemic injury: comparison of spectroscopy, diffusion-, T2-, and magnetic susceptibility-weighted MRI in cats. Acta Neurochirurgica Suppl. 1990;51:207–209. doi: 10.1007/978-3-7091-9115-6_70. [DOI] [PubMed] [Google Scholar] · DOI
- Müller-Oehring EM, Schulte T, Raassi C, Pfefferbaum A, Sullivan EV. Local-global interference is modulated by age, sex and anterior corpus callosum size. Brain Res. 2007;1142:189–205. doi: 10.1016/j.brainres.2007.01.062. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Naganawa S, Sato K, Katagiri T, Mimura T, Ishigaki T. Regional ADC values of the normal brain: differences due to age, gender, and laterality. Eur. Radiol. 2003;13(1):6–11. doi: 10.1007/s00330-002-1549-1. [DOI] [PubMed] [Google Scholar] · DOI
- Neeman M, Freyer JP, Sillerud LO. A simple method for obtaining cross-term-free images for diffusion anisotropy studies in NMR microimaging. Magn. Reson. Med. 1991;21(1):138–143. doi: 10.1002/mrm.1910210117. [DOI] [PubMed] [Google Scholar] · DOI
- Nelson HE. The National Adult Reading Test (NART) Nelson Publishing Company; Windsor, Canada: 1982. [Google Scholar]
- Nielsen-Bohlman L, Knight RT. Prefrontal alterations during memory processing in aging. Cereb. Cortex. 1995;5(6):541–549. doi: 10.1093/cercor/5.6.541. [DOI] [PubMed] [Google Scholar] · DOI
- Norris DG, Niendorf T, Leibfritz D. Healthy and infracted brain tissues studied at short diffusion times: the origins of apparent restriction and the reduction in apparent diffusion coefficient. NMR Biomed. 1994;7(7):304–310. doi: 10.1002/nbm.1940070703. [DOI] [PubMed] [Google Scholar] · DOI
- Nusbaum AO, Tang CY, Buchsbaum MS, Wei TC, Atlas SW. Regional and global changes in cerebral diffusion with normal aging. Am. J. Neuroradiol. 2001;22(1):136–142. [PMC free article] [PubMed] [Google Scholar]
- O’Sullivan M, Jones D, Summers P, Morris R, Williams S, Markus H. Evidence for cortical “disconnection” as a mechanism of age-related cognitive decline. Neurology. 2001;57:632–638. doi: 10.1212/wnl.57.4.632. [DOI] [PubMed] [Google Scholar] · DOI
- Pandya DN, Seltzer B. The topography of commissural fibers. In: Lepore F, Ptito M, Jasper HH, editors. Two Hemispheres-One Brain: Functions of the Corpus Callosum. Alan R. Liss, Inc.; New York: 1986. pp. 47–74. [Google Scholar]
- Peters A, Sethares C. Aging and the myelinated fibers in prefrontal cortex and corpus callosum of the monkey. J. Comp. Neurol. 2002;442(3):277–291. doi: 10.1002/cne.10099. [DOI] [PubMed] [Google Scholar] · DOI
- Peters A, Sethares C. Is there remyelination during aging of the primate central nervous system? J. Comp. Neurol. 2003;460(2):238–254. doi: 10.1002/cne.10639. [DOI] [PubMed] [Google Scholar] · DOI
- Peters A, Sethares C, Killiany RJ. Effects of age on the thickness of myelin sheaths in monkey primary visual cortex. J. Comp. Neurol. 2001;435(2):241–248. doi: 10.1002/cne.1205. [DOI] [PubMed] [Google Scholar] · DOI
- Pfefferbaum A, Adalsteinsson E, Sullivan EV. Frontal circuitry degradation marks healthy adult aging: evidence from diffusion tensor imaging. NeuroImage. 2005;26(3):891–899. doi: 10.1016/j.neuroimage.2005.02.034. [DOI] [PubMed] [Google Scholar] · DOI
- Pfefferbaum A, Ford J, Wenegrat B, Roth WT, Kopell BS. Clinical application of the P3 component of event-related potentials: I. Normal aging. Electroencephalogr. Clin. Neurophysiol. 1984;59:85–103. doi: 10.1016/0168-5597(84)90026-1. [DOI] [PubMed] [Google Scholar] · DOI
- Pfefferbaum A, Lim KO, Zipursky RB, Mathalon DH, Rosenbloom MJ, Lane B, Ha CN, Sullivan EV. Brain gray and white matter volume loss accelerates with aging in chronic alcoholics: a quantitative MRI study. Alcohol.: Clin. Exp. Res. 1992;16(6):1078–1089. doi: 10.1111/j.1530-0277.1992.tb00702.x. [DOI] [PubMed] [Google Scholar] · DOI
- Pfefferbaum A, Mathalon DH, Sullivan EV, Rawles JM, Zipursky RB, Lim KO. A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood. Arch. Neurol. 1994;51:874–887. doi: 10.1001/archneur.1994.00540210046012. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Pfefferbaum A, Rosenbloom MJ, Adalsteinsson E, Sullivan EV. Diffusion tensor imaging with quantitative fiber tracking in HIV infection and alcoholism comorbidity: synergistic white matter damage. Brain. 2007;130:48–64. doi: 10.1093/brain/awl242. [DOI] [PubMed] [Google Scholar] · DOI
- Pfefferbaum A, Sullivan EV. Diffusion MR imaging in neuropsychiatry and aging. In: Gillard J, Waldman A, Barker P, editors. Clinical MR Neuroimaging: Diffusion, Perfusion and Spectroscopy. Cambridge University Press; Cambridge: 2005a. pp. 558–578. [Google Scholar]
- Pfefferbaum A, Sullivan EV. Disruption of brain white matter microstructure by excessive intracellular and extracellular fluid in alcoholism: evidence from diffusion tensor imaging. Neuropsychopharmacology. 2005b;30:423–432. doi: 10.1038/sj.npp.1300623. [DOI] [PubMed] [Google Scholar] · DOI
- Pfefferbaum A, Sullivan EV. Increased brain white matter diffusivity in normal adult aging: relationship to anisotropy and partial voluming. Magn. Reson. Med. 2003;49:953–961. doi: 10.1002/mrm.10452. [DOI] [PubMed] [Google Scholar] · DOI
- Pfefferbaum A, Sullivan EV, Carmelli D. Genetic regulation of regional microstructure of the corpus callosum in late life. Neuroreport. 2001;12:1677–1681. doi: 10.1097/00001756-200106130-00032. [DOI] [PubMed] [Google Scholar] · DOI
- Pfefferbaum A, Sullivan EV, Hedehus M, Adalsteinsson E, Lim KO, Moseley M. In vivo detection and functional correlates of white matter microstructural disruption in chronic alcoholism. Alcohol.: Clin. Exp. Res. 2000a;24(8):1214–1221. [PubMed] [Google Scholar]
- Pfefferbaum A, Sullivan EV, Hedehus M, Lim KO, Adalsteinsson E, Moseley M. Age-related decline in brain white matter anisotropy measured with spatially corrected echo-planar diffusion tensor imaging. Magn. Reson. Med. 2000b;44(2):259–268. doi: 10.1002/1522-2594(200008)44:2<259::aid-mrm13>3.0.co;2-6. [DOI] [PubMed] [Google Scholar] · DOI
- Pierpaoli C, Basser PJ. Towards a quantitative assessment of diffusion anisotropy. Magn. Reson. Med. 1996;36:893–906. doi: 10.1002/mrm.1910360612. [DOI] [PubMed] [Google Scholar] · DOI
- Raz N, Gunning FM, Head D, Dupuis JH, McQuain J, Briggs SD, Loken WJ, Thornton AE, Acker JD. Selective aging of the human cerebral cortex observed in vivo: differential vulnerability of the prefrontal gray matter. Cereb. Cortex. 1997;7(3):268–282. doi: 10.1093/cercor/7.3.268. [DOI] [PubMed] [Google Scholar] · DOI
- Raz N, Rodrigue KM. Differential aging of the brain: patterns, cognitive correlates and modifiers. Neurosci. Biobehav. Rev. 2006;30:730–748. doi: 10.1016/j.neubiorev.2006.07.001. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Rohlfing T, Brandt R, Maurer CR, Jr., Menzel R. In: Staib L, editor. Bee brains, B-splines and computational democracy: generating an average shape atlas; IEEE Workshop on Mathematical Methods in Biomedical Image Analysis 2001, Kauai, HI; IEEE Computer Society, Los Alamitos, CA. 2001.pp. 187–194. [Google Scholar]
- Rohlfing T, Maurer CR. Nonrigid image registration in shared-memory multiprocessor environments with application to brains, breasts, and bees. IEEE Trans. Inform. Technol. Biomed. 2003;7(1):16–25. doi: 10.1109/titb.2003.808506. [DOI] [PubMed] [Google Scholar] · DOI
- Rosenbloom MJ, Sassoon SA, Fama R, Sullivan EV, Pfefferbaum A. Frontal callosal fiber integrity selectively predicts psychomotor performance in chronic alcoholism. Brain Imaging Behav. doi: 10.1007/s11682-007-9017-9. in press. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Rumpel H, Ferrini B, Martin E. Lasting cytotoxic edema as an indicator of irreversible brain damage: a case of neonatal stroke. Am. J. Neuroradiol. 1998;19:1636–1638. [PMC free article] [PubMed] [Google Scholar]
- Salat DH, Tuch DS, Greve DN, van der Kouwe AJW, Hevelone ND, Zaleta AK, Rosen BR, Fischl B, Corkin S, Rosas HD, Dale AM. Age-related alterations in white matter microstructure measured by diffusion tensor imaging. Neurobiol. Aging. 2005;26:1215–1227. doi: 10.1016/j.neurobiolaging.2004.09.017. [DOI] [PubMed] [Google Scholar] · DOI
- Sassoon SA, Fama R, Rosenbloom MJ, O’Reilly A, Pfefferbaum A, Sullivan EV. Component cognitive and motor processes of the Digit Symbol Test: differential deficits in alcoholism, HIV infection and their comorbidity. Alcohol.: Clin. Exp. Res. 2007;31:1315–1324. doi: 10.1111/j.1530-0277.2007.00426.x. [DOI] [PubMed] [Google Scholar] · DOI
- Schmahmann JD, Pandya DN, Wang R, Dai G, D’Arceuil HE, de Crespigny AJ, Wedeen VJ. Association fibre pathways of the brain: parallel observations from diffusion spectrum imaging and autoradiography. Brain. 2007;130(Pt 3):630–653. doi: 10.1093/brain/awl359. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Sehy JV, Ackerman JJ, Neil JJ. Evidence that both fast and slow water ADC components arise from intracellular space. Magn. Reson. Med. 2002;48(5):765–770. doi: 10.1002/mrm.10301. [DOI] [PubMed] [Google Scholar] · DOI
- Sen PN, Basser PJ. A model for diffusion in white matter in the brain. Biophys. J. 2005;89(5):2927–2938. doi: 10.1529/biophysj.105.063016. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Shenkin SD, Bastin ME, MacGillivray TJ, Deary IJ, Starr JM, Wardlaw JM. Childhood and current cognitive function in healthy 80-year-olds: a DT-MRI study. Neuroreport. 2003;14(3):345–349. doi: 10.1097/00001756-200303030-00010. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Silva MD, Omae T, Helmer KG, Li F, Fisher M, Sotak CH. Separating changes in the intra- and extracellular water apparent diffusion coefficient following focal cerebral ischemia in the rat brain. Magn. Reson. Med. 2002;48(5):826–837. doi: 10.1002/mrm.10296. [DOI] [PubMed] [Google Scholar] · DOI
- Skinner HA. Development and Validation of a Lifetime Alcohol Consumption Assessment Procedure. Addiction Research Foundation; Toronto, Canada: 1982. [Google Scholar]
- Skinner HA, Sheu WJ. Reliability of alcohol use indices: the life-time drinking history and the MAST. J. Stud. Alcohol. 1982;43:1157–1170. doi: 10.15288/jsa.1982.43.1157. [DOI] [PubMed] [Google Scholar] · DOI
- Smith CD, Chebrolu H, Wekstein DR, Schmitt FA, Markesbery WR. Age and gender effects on human brain anatomy: a voxel-based morphometric study in healthy elderly. Neurobiol. Aging. 2007;28(7):1075–1087. doi: 10.1016/j.neurobiolaging.2006.05.018. [DOI] [PubMed] [Google Scholar] · DOI
- Smith S. Fast robust automated brain extraction. Hum. Brain Mapp. 2002;17:143–155. doi: 10.1002/hbm.10062. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI · Paper page
- Song SK, Sun SW, Ju WK, Lin SJ, Cross AH, Neufeld AH. Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia. NeuroImage. 2003;20(3):1714–1722. doi: 10.1016/j.neuroimage.2003.07.005. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Song SK, Yoshino J, Le TQ, Lin SJ, Sun SW, Cross AH, Armstrong RC. Demyelination increases radial diffusivity in corpus callosum of mouse brain. NeuroImage. 2005;26(1):132–140. doi: 10.1016/j.neuroimage.2005.01.028. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Sowell ER, Thompson PM, Toga AW. Mapping changes in the human cortex throughout the span of life. Neuroscientist. 2004;10(4):372–392. doi: 10.1177/1073858404263960. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Stadlbauer A, Salomonowitz E, Strunk G, Hammen T, Ganslandt O. Quantitative diffusion tensor fiber tracking of age-related changes in the limbic system. Eur. Radiol. 2008;18(1):130–137. doi: 10.1007/s00330-007-0733-8. [DOI] [PubMed] [Google Scholar] · DOI
- Stebbins G, Carrillo MD, Medina D, de Toledo-Morrell L, Klingberg T, Poldrack RA, Moseley M, Karni O, Wilson RS, Bennett DA, Gabrieli JDE. Frontal white matter integrity in aging and its relation to reasoning performance: a diffusion tensor imaging study. Soc. Neurosci. Abstr. 2001;27:1204. Abstract 456.3. [Google Scholar]
- Sullivan EV, Adalsteinsson E, Hedehus M, Ju C, Moseley M, Lim KO, Pfefferbaum A. Equivalent disruption of regional white matter microstructure in aging healthy men and women. Neuroreport. 2001;12(22):99–104. doi: 10.1097/00001756-200101220-00027. [DOI] [PubMed] [Google Scholar] · DOI
- Sullivan EV, Adalsteinsson E, Pfefferbaum A. Selective age-related degradation of anterior callosal fiber bundles quantified in vivo with fiber tracking. Cereb. Cortex. 2006;16(7):1030–1039. doi: 10.1093/cercor/bhj045. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Sullivan EV, Deshmukh A, Desmond JE, Lim KO, Pfefferbaum A. Cerebellar volume decline in normal aging, alcoholism, and Korsakoff’s syndrome: relation to ataxia. Neuropsychology. 2000;14(3):341–352. doi: 10.1037//0894-4105.14.3.341. [DOI] [PubMed] [Google Scholar] · DOI
- Sullivan EV, Pfefferbaum A. Diffusion tensor imaging in normal aging and neuropsychiatric disorders. Eur. J. Radiol. 2003;45:244–255. doi: 10.1016/s0720-048x(02)00313-3. [DOI] [PubMed] [Google Scholar] · DOI
- Sullivan EV, Pfefferbaum A. Neuroradiological characterization of normal adult aging. Br. J. Radiol. 2007;80:S99–S108. doi: 10.1259/bjr/22893432. Spec No2. [DOI] [PubMed] [Google Scholar] · DOI
- Sullivan EV, Rosenbloom MJ, Serventi KL, Pfefferbaum A. Effects of age and sex on volumes of the thalamus, pons, and cortex. Neurobiol. Aging. 2004;25:185–192. doi: 10.1016/s0197-4580(03)00044-7. [DOI] [PubMed] [Google Scholar] · DOI
- Sun SW, Liang HF, Trinkaus K, Cross AH, Armstrong RC, Song SK. Noninvasive detection of cuprizone induced axonal damage and demyelination in the mouse corpus callosum. Magn. Reson. Med. 2006;55(2):302–308. doi: 10.1002/mrm.20774. [DOI] [PubMed] [Google Scholar] · DOI · Paper page
- Takahashi T, Murata T, Omori M, Kosaka H, Takahashi K, Yonekura Y, Wada Y. Quantitative evaluation of age-related white matter microstructural changes on MRI by multifractal analysis. J. Neurol. Sci. 2004;225(12):33–37. doi: 10.1016/j.jns.2004.06.016. [DOI] [PubMed] [Google Scholar] · DOI
- Taki Y, Kinomura S, Sato K, Goto R, Inoue K, Okada K, Ono S, Kawashima R, Fukuda H. Both global gray matter volume and regional gray matter volume negatively correlate with lifetime alcohol intake in non-alcohol-dependent Japanese men: a volumetric analysis and a voxel-based morphometry. Alcohol.: Clin. Exp. Res. 2006;30(6):1045–1050. doi: 10.1111/j.1530-0277.2006.00118.x. [DOI] [PubMed] [Google Scholar] · DOI
- Tell GS, Lefkowitz DS, Diehr P, Elster AD. Relationship between balance and abnormalities in cerebral magnetic resonance imaging in older adults. Arch. Neurol. 1998;55:73–79. doi: 10.1001/archneur.55.1.73. [DOI] [PubMed] [Google Scholar] · DOI
- Wechsler D. Manual for the Wechsler Adult Intelligence Scale Revised. The Psychological Corporation; New York: 1981. [Google Scholar]
- Woods RP, Grafton ST, Holmes CJ, Cherry SR, Mazziotta JC. Automated image registration: I. General methods and intra-subject, intramodality validation. J. Comput. Assist. Tomogr. 1998;22(1):139–152. doi: 10.1097/00004728-199801000-00027. [DOI] [PubMed] [Google Scholar] · DOI
- Wozniak JR, Lim KO. Advances in white matter imaging: a review of in vivo magnetic resonance methodologies and their applicability to the study of development and aging. Neurosci. Biobehav. Rev. 2006;30(6):762–774. doi: 10.1016/j.neubiorev.2006.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar] · DOI
- Xu D, Mori S, Solaiyappan M, van Zijl PC, Davatzikos C. A framework for callosal fiber distribution analysis. NeuroImage. 2002;17:1131–1143. doi: 10.1006/nimg.2002.1285. [DOI] [PubMed] [Google Scholar] · DOI
- Yoon B, Shim YS, Lee KS, Shon YM, Yang DW. Region-specific changes of cerebral white matter during normal aging: A diffusion-tensor analysis. Arch. Gerontol. Geriatr. 2007 doi: 10.1016/j.archger.2007.07.004. [DOI] [PubMed] [Google Scholar] · DOI
- Authors
- Sullivan, E. V., Rohlfing, T., & Pfefferbaum, A.
- Affiliations
- Stanford Medicine (US)
- SRI International (US)
- Corresponding author
- Sullivan, Edith V.
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2010-03
- Volume
- 31
- Issue
- 3
- Pages
- 464-481
- ISSN
- 0197-4580 (ISSN-L)
- PMC
- PMC2815144
- OpenAlex
- W2058486187
- Cited by
- 346
- References
- 118
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 10 · 2023: 15 · 2022: 17 · 2021: 18 · 2020: 17 · 2019: 21 · 2018: 21 · 2017: 11 · 2016: 17 · 2015: 13 · 2014: 20 · 2013: 23 · 2012: 26
- FWCI
- 25.42
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (R01AA012388, AA012388, R37AA010723, AA010723, R01AA010723)
- National Institute on Aging (AG017919, R01AG017919)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- normal aging, white matter integrity, diffusion tensor imaging, fractional anisotropy, corpus callosum, anterior-posterior gradient, sex differences, internal capsule, external capsule, fornix, myelin integrity, axon morphology
- MeSH terms
- Adult, Aged, Aged, 80 and over, Aging, Brain, Cognition, Corpus Callosum, Female, Humans, Male, Middle Aged, Motor Activity, Nerve Fibers, Myelinated, Neural Pathways, Neuropsychological Tests, Psychomotor Performance, Sex Characteristics, Time Factors, Anisotropy, Young Adult, Diffusion Tensor Imaging
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