Skip to main content
Log in

Tract-specific analysis of white matter pathways in healthy subjects: a pilot study using diffusion tensor MRI

  • Diagnostic Neuroradiology
  • Published:
Neuroradiology Aims and scope Submit manuscript

Abstract

Introduction

To date, very scant data is available regarding normal diffusion properties of white matter (WM) fibers. The present study aimed to initiate the establishment of a database of normal diffusion tensor metrics of cerebral WM fibers, including the uncinate fasciculus (UF), posterior cingulum (PC), fornix, and corticospinal tract (CST) for healthy adults using tract-specific analysis by diffusion tensor tractography (DTT). We also attempted to clarify whether age and laterality exerted any effects on this study group.

Methods

DTT of WM fibers were generated for 100 healthy subjects, then mean diffusivity (MD) and fractional anisotropy (FA) of the tracts were measured. Pearson correlation analysis was used to evaluate age relationships. Paired t testing was used to compare hemispheric asymmetry. Interobserver correlation tests were also performed.

Results

Our results showed FA values for UF (right, 0.42 ± 0.03; left, 0.40±0.03), PC (0.51 ± 0.06, 0.52 ± 0.06), fornix (0.37 ± 0.06, 0.38 ± 0.06), CST (0.70 ± 0.06, 0.69 ± 0.07), and MD values for UF (0.81 ± 0.03, 0.82 ± 0.04), PC (0.72 ± 0.03, 0.72 ± 0.04), fornix (1.86 ± 0.32, 1.94 ± 0.37), and CST (0.72 ± 0.03, 0.74 ± 0.04). We identified a significant positive correlation between age and MD in the right UF and bilateral fornices, and a negative correlation between age and FA in bilateral fornices. Hemispheric asymmetry was observed in FA of UF (right > left) and MD of CST (left > right).

Conclusions

The results constitute a normative dataset for diffusion parameters of four WM tracts that can be used to identify, characterize, and establish the significance of changes in diseases affecting specific tracts.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Reich DS, Smith SA, Jones CK et al (2006) Quantitative characterization of the corticospinal tract at 3T. AJNR Am J Neuroradiol 27(10):2168–2178

    CAS  PubMed  Google Scholar 

  2. Abe O, Yamasue H, Aoki S et al (2008) Aging in the CNS: comparison of gray/white matter volume and diffusion tensor data. Neurobiol Aging 29(1):102–116

    Article  PubMed  Google Scholar 

  3. Salat DH, Tuch DS, Greve DN et al (2005) Age-related alterations in white matter microstructure measured by diffusion tensor imaging. Neurobiol Aging 26:1215–1227

    Article  CAS  PubMed  Google Scholar 

  4. Chun T, Filippi CG, Zimmerman RD et al (2000) Diffusion changes in the aging human brain. AJNR Am J Neuroradiol 21:1078–1083

    CAS  PubMed  Google Scholar 

  5. Pfefferbaum A, Sullivan EV (2003) Increased brain white matter diffusivity in normal adult aging: relationship to anisotropy and partial voluming. Magn Reson Med 49:953–961

    Article  PubMed  Google Scholar 

  6. Bhagat YA, Beaulieu C (2004) Diffusion anisotropy in subcortical white matter and cortical gray matter: changes with aging and role of CSF suppression. J Magn Reson Imaging 20:216–227

    Article  PubMed  Google Scholar 

  7. Catani M (2006) Diffusion tensor magnetic resonance imaging tractography in cognitive disorders. Curr Opin Neurol 19(6):599–606

    Article  PubMed  Google Scholar 

  8. Park HJ, Westin CF, Kubicki M et al (2004) White matter hemisphere asymmetries in healthy subjects and in schizophrenia: a diffusion tensor MRI study. Neuroimage 23(1):213–223

    Article  PubMed  Google Scholar 

  9. Kubicki M, Westin CF, Nestor PG et al (2003) Cingulate fasciculus integrity disruption in schizophrenia: a magnetic resonance diffusion tensor imaging study. Biol Psychiatry 54(11):1171–1180

    Article  PubMed  Google Scholar 

  10. Kubicki M, Westin CF, Maier SE et al (2002) Uncinate fasciculus findings in schizophrenia: a magnetic resonance diffusion tensor imaging study. Am J Psychiatry 159(5):813–820

    Article  PubMed  Google Scholar 

  11. Stadlbauer A, Salomonowitz E et al (2008) Quantitative diffusion tensor fiber tracking of age-related changes in the limbic system. Eur Radiol 18(1):130–137

    Article  PubMed  Google Scholar 

  12. Tisserand DJ, Pruessner JC, SanzArigita EJ et al (2002) Regional frontal cortical volumes decrease differentially in aging: an MRI study to compare volumetric approaches and voxel-based morphometry. Neuroimage 17:657–669

    Article  PubMed  Google Scholar 

  13. Tisserand DJ, Visser PJ, van Boxtel MP et al (2000) The relation between global and limbic brain volumes on MRI and cognitive performance in healthy individuals across the age range. Neurobiol Aging 21:569–576

    Article  CAS  PubMed  Google Scholar 

  14. Bigler ED, Blatter DD, Anderson CV et al (1997) Hippocampal volume in normal aging and traumatic brain injury. AJNR Am J Neuroradiol 18:11–23

    CAS  PubMed  Google Scholar 

  15. Raz N, Gunning FM, Head D et al (1997) Selective aging of the human cerebral cortex observed in vivo: differential vulnerability of the prefrontal gray matter. Cereb Cortex 7:268–282

    Article  CAS  PubMed  Google Scholar 

  16. 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. Magn Reson Imaging 17(8):1121–1133

    Article  CAS  PubMed  Google Scholar 

  17. Fazekas F, Chawluk JB, Alavi A et al (1987) MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. AJR Am J Roentgenol 149(2):351–356

    CAS  PubMed  Google Scholar 

  18. Masutani Y, Aoki S, Abe O et al (2003) MR diffusion tensor imaging: recent advance and new techniques for diffusion tensor visualization. Eur J Radiol 46(1):53–66

    Article  PubMed  Google Scholar 

  19. Pajevic S, Pierpaoli C (1999) Color schemes to represent the orientation of anisotropic tissues from diffusion tensor data: application to white matter fiber tract mapping in the human brain. Magn Reson Med 42(3):526–540 Erratum in Magn Reson Med 2000 43(6): 921

    Article  CAS  PubMed  Google Scholar 

  20. Yasmin H, Nakata Y, Aoki S et al (2008) Diffusion abnormalities of the uncinate fasciculus in Alzheimer's disease: diffusion tensor tract-specific analysis using a new method to measure the core of the tract. Neuroradiology 50(4):293–299

    Article  PubMed  Google Scholar 

  21. Iwasaki S, Nakagawa H, Fukusumi A et al (1991) Identification of pre- and postcentral gyri on CT and MR images on the basis of the medullary pattern of cerebral white matter. Radiology 179(1):207–213

    CAS  PubMed  Google Scholar 

  22. Kido DK, LeMay M, Levinson AW et al (1980) Computed tomographic localization of the precentral gyrus. Radiology 135(2):373–377

    CAS  PubMed  Google Scholar 

  23. Alexander AL, Lee JE, Wu YC (2006) Comparison of diffusion tensor imaging measurements at 3.0 T versus 1.5 T with and without parallel imaging. Neuroimaging Clin N Am 16(2):299–309

    Article  PubMed  Google Scholar 

  24. Mori S (2007) Introduction to diffusion tensor imaging. Elsevier, UK, p 94

    Google Scholar 

  25. Concha L, Gross DW, Beaulieu C (2005) Diffusion tensor tractography of the limbic system. AJNR Am J Neuroradiol 26:2267–2274

    PubMed  Google Scholar 

  26. Fujiwara S, Sasaki M, Kanbara Y et al (2008) Feasibility of 1.6-mm isotropic voxel diffusion tensor tractography in depicting limbic fibers. Neuroradiology 50:131–136

    Article  PubMed  Google Scholar 

  27. Taoka T, Morikawa M, Akashi T et al (2009) Fractional anisotropy—threshold dependence in tract-based diffusion tensor analysis: evaluation of the uncinate fasciculus in Alzheimer disease. AJNR Am J Neuroradiol (in press)

  28. Abe O, Aoki S, Hayashi N et al (2002) Normal aging in the central nervous system: quantitative MR diffusion-tensor analysis. Neurobiol Aging 23:433–441

    Article  PubMed  Google Scholar 

  29. Terry RD, DeTeresa R, Hansen LA (1987) Neocortical cell counts in normal human adult aging. Ann Neurol 21(6):530–539

    Article  CAS  PubMed  Google Scholar 

  30. Hatanpaa K, Isaacs KR, Shirao T et al (1999) Loss of proteins regulating synaptic plasticity in normal aging of the human brain and in Alzheimer disease. J Neuropathol Exp Neurol 58(6):637–643

    Article  CAS  PubMed  Google Scholar 

  31. Concha L, Beaulieu C, Gross DW (2005) Bilateral limbic diffusion abnormalities in unilateral temporal lobe epilepsy. Ann Neurol 57:188–196

    Article  PubMed  Google Scholar 

  32. Rodrigo S, Oppenheim C, Chassoux F et al (2007) Uncinate fasciculus fiber tracking in mesial temporal lobe epilepsy. Initial findings. Eur Radiol 17(7):1663–1668

    Article  CAS  PubMed  Google Scholar 

  33. Highley JR, Walker MA, Esiri MM et al (2002) Asymmetry of the uncinate fasciculus: a post-mortem study of normal subjects and patients with schizophrenia. Cereb. Cortex 12(11):1218–1224

    Article  PubMed  Google Scholar 

  34. Rademacher J, Burgel U, Geyer S et al (2001) Variability and asymmetry in the human precentral motor system. A cytoarchitectonic and myeloarchitectonic brain mapping study. Brain 124(Pt 11):2232–2258

    Article  CAS  PubMed  Google Scholar 

  35. Supprian T, Hofmann E (1997) The fornix of the human brain: evidence of left/right asymmetry on axial MRI scans. Surg Radiol Anat 19(2):105–109

    Article  CAS  PubMed  Google Scholar 

  36. Fazekas F, Niederkorn K, Schmidt R et al (1988) White matter signal abnormalities in normal individuals: correlation with carotid ultrasonography, cerebral blood flow measurements, and cerebrovascular risk factors. Stroke 19(10):1285–1288

    CAS  PubMed  Google Scholar 

Download references

Conflict of interest statement

We declare that we have no conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hasina Yasmin.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yasmin, H., Aoki, S., Abe, O. et al. Tract-specific analysis of white matter pathways in healthy subjects: a pilot study using diffusion tensor MRI. Neuroradiology 51, 831–840 (2009). https://doi.org/10.1007/s00234-009-0580-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00234-009-0580-1

Keywords

Navigation