Cited by 280Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity StudiesCerebrovascular and genetic disorders

Selective age-related degradation of anterior callosal fiber bundles quantified in vivo with fiber tracking

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Sullivan, Edith V., Adalsteinsson, Elfar, Pfefferbaum, Adolf·2006·Cerebral Cortex

Abstract

The corpus callosum, the principal white matter structure enabling interhemispheric information transfer, is heterogeneous in its microstructural composition, heterotopic in its anteroposterior cortical connectivity, and differentially susceptible to aging. In vivo characterization of callosal features is possible with diffusion tensor imaging (DTI), a magnetic resonance imaging method sensitive to the detection of white matter's linear structure. We implemented a quantitative fiber tracking approach to examine age-related variation in regional microstructural characteristics [fractional anisotropy (FA) and apparent diffusion coefficient (ADC)] of callosal fibers in 10 younger (29 +/- 5 years) and 10 older (72 +/- 5 years) healthy adults. Fiber tracking was performed on 2.5 mm isotropic voxels collected at 3 T. Fiber targets comprised the midsagittal corpus callosum, divided into six regions based on known callosal anatomical projections. FA and ADC for each voxel of each fiber identified were determined; lower FA and higher ADC reflect degraded microstructural tissue integrity. Older subjects had lower FA (P < 0.002), higher ADC (P < 0.006), and fewer (P < 0.005) fibers than younger subjects. Group x region interactions indicated disproportionately lower FA (P = 0.0001) and higher ADC (P < 0.006) in the older than younger group in frontal fiber bundles relative to posterior bundles. As a test of the functional significance of the fiber bundle metrics, the older subjects were administered the Stroop Task, which showed significant correlations between regional fiber bundle integrity and performance. These results validate this quantitative fiber tracking approach and confirm the selective vulnerability of frontal white matter systems to normal aging, likely substrates of age-related declines in cognitive processes dependent on prefrontal circuitry integrity.

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Crossref · 10.1093/cercor/bhj045

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  • Early tractography studies found consistent aging-related changes in specific fiber bundles, including decreased FA, increased MD, and decreased tract volume.

    “Early tractography studies usually estimated the aging effect on specific fiber bundles such as the corpus callosum (Sullivan et al., 2006), uncinate fasciculus (Hasan et al., 2009a), and fornix (Stadlbauer et al., 2008b), which show consistent changes including decreased FA, increased MD and decreased tract volume.”

    From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Sullivan et al., 2006

    The Results report lower FA and higher ADC in older adults’ callosal fiber bundles; higher ADC supports the cited increase in mean diffusivity. They also report fewer identified fibers, but do not report decreased tract volume. The Discussion (p. 1035) says overall corpus callosum size did not differ by age. (LLM, conf=0.88)

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Research works printed but not linked: 16

  1. Anderson ND, Grady CL (2001) Functional imaging in cognitively intact aged people. In: Functional neurobiology of aging (Hof PR, Mobbs CV, eds), pp. 211--225. San Diego, CA: Academic Press.
  2. Basser PJ (1998) Fiber-tractography via diffusion tensor MRI (DT-MRI). In: Proceedings of the International Society of Magnetic Resonance in Medicine, 6th meeting, p. 1226. Berkeley, CA: International Society of Magnetic Resonance in Medicine.
  3. Basser PJ, Jones DK (2002) Diffusion-tensor MRI: theory, experimental design and data analysis -a technical review. NMR Biomed 15:456--467.
  4. Cabeza R, Nyberg L (2000) Imaging cognition. II. An empirical review of 275 PET and fMRI studies. J Cogn Neurosci 12:1--47.
  5. Gerig G, Corouge I, Vachet C, Krishnan KR, MacFall JR (2005) Quantitative analysis of diffusion properties of white matter fiber tracts: a validation study. In: 13th Proceedings of the Interna- tional Society for Magnetic Resonance in Medicine, Miami, FL, Abstract no. 1337. Cerebral Cortex July 2006, V 16 N 7 1037
  6. Kemper, TL (1994) Neuroanatomical and neuropathological changes during aging and dementia. In: Clinical neurology of aging (Albert ML, Knoefel JE, eds), pp. 3--67. New York: Oxford University Press.
  7. Kinsbourne M (1974) Mechanisms of hemispheric interaction in man. In: Hemispheric disconnection and cerebral function (Kinsbourne M, Smith WL, eds), pp. 260--285. Springfield, IL: Thomas.
  8. McDonald CR, Delis DC, Norman MA, Wetter, SR, Tecoma ES, Iragui VJ (2005) Response inhibition and set shifting in patients with frontal lobe epilepsy or temporal lobe epilepsy. Epilepsy Behav (in press).
  9. Mori S, van Zijl PC (2002) Fiber tracking: principles and strategies - a technical review. NMR Biomed 15:468--480.
  10. Pandya DN, Seltzer B (1986) The topography of commissural fibers. In: Two hemispheres -one brain: functions of the corpus callosum (Lepore F, Ptito M, Jasper HH, eds), pp. 47--74. New York: Alan R. Liss.
  11. Pfefferbaum A, Sullivan EV (2005a) Diffusion MR imaging in neuropsy- chiatry and aging. In: Clinical MR neuroimaging: diffusion, perfusion and spectroscopy (Gillard J, Waldman A, Barker P, eds), pp. 558--578. Cambridge: Cambridge University Press.
  12. Raz N (1999) Aging of the brain and its impact on cognitive performance: integration of structural and functional findings. In: Handbook of aging and cognition II (Craik FIM, Salthouse TA, eds), pp. 1--90. Mahwah, NJ: Erlbaum.
  13. Raz N, Lindenberger U, Rodrigue KM, Kennedy KM, Head D, Williamson A, Dahle C, Gerstorf D, Acker JD (2005) Regional brain changes in aging healthy adults: general trends, individual differences, and modifiers. Cereb Cortex (in press).
  14. Sullivan EV, Pfefferbaum A (2005) Diffusion tensor imaging and aging. Neurosci Biobehav Rev (in press).
  15. Waxman SG, Kocsis JD, Stys PK (1995) The axon: structure, function and pathophysiology. New York: Oxford University Press.
  16. Zaidel E, Iacoboni M (2003) The parallel brain: the cognitive neurosci- ence of the corpus callosum. Cambridge, MA: The MIT Press.

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Authors
Sullivan, E. V., Adalsteinsson, E., & Pfefferbaum, A.
Affiliations
  • Stanford Medicine (US)
  • SRI International (US)
Corresponding author
Sullivan, Edith V.
Venue
Cerebral Cortex
Published
2005-10-05
Volume
16
Issue
7
Pages
1030-1039
ISSN
  • 1047-3211 (ISSN-L)
  • 1460-2199
OpenAlex
W2135956445
Cited by
280
References
8
Citations by year
2026: 4 · 2025: 2 · 2024: 9 · 2023: 5 · 2022: 5 · 2021: 8 · 2020: 10 · 2019: 3 · 2018: 5 · 2017: 6 · 2016: 5 · 2015: 6 · 2014: 15 · 2013: 19 · 2012: 6
FWCI
23.00
Type
journal article
Language
en
Open access
Licence
other-oa
Locations
  • Cerebral Cortex (publishedVersion, other-oa)
  • PubMed (publishedVersion)
Funders
  • National Institute on Alcohol Abuse and Alcoholism (AA-05965, R01AA012388, AA12388, AA10723)
  • National Institute on Aging (R01AG017919, AG17919)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Neurology › Cerebrovascular and genetic disorders
Keywords
corpus callosum, aging, white matter microstructure, fractional anisotropy, apparent diffusion coefficient, tractography, diffusion tensor imaging, interhemispheric connectivity, Stroop task, cognitive aging
MeSH terms
Adult, Age Factors, Aged, Aging, Corpus Callosum, Female, Humans, Male, Nerve Fibers, Neural Pathways, Diffusion Magnetic Resonance Imaging

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