Abstract
This study aimed to quantitatively analyze data from diffusion tensor imaging (DTI) using statistical parametric mapping (SPM) in patients with brain disorders and to assess its potential utility for analyzing brain function. DTI was obtained by performing 3.0-T magnetic resonance imaging for patients with Alzheimer’s disease (AD) and vascular dementia (VD), and the data were analyzed using Matlab-based SPM software. The two-sample t-test was used for error analysis of the location of the activated pixels. We compared regions of white matter where the fractional anisotropy (FA) values were low and the apparent diffusion coefficients (ADCs) were increased. In the AD group, the FA values were low in the right superior temporal gyrus, right inferior temporal gyrus, right sub-lobar insula, and right occipital lingual gyrus whereas the ADCs were significantly increased in the right inferior frontal gyrus and right middle frontal gyrus. In the VD group, the FA values were low in the right superior temporal gyrus, right inferior temporal gyrus, right limbic cingulate gyrus, and right sub-lobar caudate tail whereas the ADCs were significantly increased in the left lateral globus pallidus and left medial globus pallidus. In conclusion by using DTI and SPM analysis, we were able to not only determine the structural state of the regions affected by brain disorders but also quantitatively analyze and assess brain function.
Similar content being viewed by others
References
S. C. Cramer, Restor. Neurol. Neurosci. 22, 231 (2004).
H. Matsui, K. Nishinaka, M. Oda, H. Niikawa, T. Kubori and F. Udaka, Acta Neurol. Scand. 116, 177 (2007).
H. Cho, D. W. Yang, Y. M. Shon, B. S. Kim, Y. I. Kim, Y. B. Choi, K. S. Lee, Y. S. Shim, B. Yoon, W. Kim and K. J. Ahn, J. Korean Med. Sci. 23, 477 (2008).
P. J. Basser and C. Pierpaoli, J. Magn. Reson. 213, 560 (2011).
N. Kunimatsu, S. Aoki, A. Kunimatsu, O. Abe, H. Yamada, Y. Masutani, K. Kasai, H. Yamasue and K. Ohtomo, Psychiatry Res. 201, 136 (2012).
A. Kunimatsu, S. Aoki, Y. Masutani, O. Abe, H. Mori and K. Ohtomo, Neuroradiology 45, 532 (2003).
E. O. Stejskal and J. E. Tanner, J. Chem. Phys. 42, 288 (1965).
D. Le Bihan and E. Breton, Compte. Rendu. Acad. Sci. 301, 1109 (1985).
D. J. Werring, C. A. Clark, G. J. Barker, A. J. Thompson and D. H. Miller, Neurology 52, 1626 (1999).
S. B. Hong, Y. W. Shin, D. J. Kim, W. J. Moon, E. C. Chung, J. S. Lee, H. J. Park and J. S. Kwon, J. Korean Neuropsychiatr. Assoc. 45, 316 (2006).
D. H. Shin, S. O. Park, C. W. Cho, S. N. Yoon, M. H. Lee and D. O. Shin, J. Korean Med. Phys. 15, 45 (2004).
R. J. Ferrari, Med. Biol. Eng. Comput. 51, 71 (2013).
J. Léveillé, G. Demonceau and R. C. Walovitch, J. Nucl. Med. 33, 480 (1992).
M. Lehtovirta, J. Kuikka, S. Helisalmi, P. Hartikainen, A. Mannermaa, M. Ryynänen, P. Riekkinen and H. Soininen, J. Neurol. Neurosurg. Psychiatry 64, 742 (1998).
R. Stahl, O. Dietrich, S. J. Teipel, H. Hampel, M. F. Reiser and S. O. Schoenberg, Radiology 243, 483 (2007).
O. Sabri, E. B. Ringelstein, D. Hellwig, R. Schneider, M. Schreckenberger, H. J. Kaiser, M. Mull and U. Buell, Stroke 30, 556 (1999).
O. Mayzel-Oreg, Y. Assaf, A. Gigi, D. Ben-Bashat, R. Verchovsky, M. Mordohovitch, M. Graif, T. Hendler, A. Korczyn and Y. Cohen, J. Neurol. Sci. 257, 105 (2007).
S. J. Teipel, T. Meindl, L. Grinberg, H. Heinsen and H. Hampel, Eur. J. Nucl. Med. Mol. Imaging 35, S58 (2008).
D. Le Bihan, J. F. Mangin, C. Poupon, C. A. Clark, S. Pappata, N. Molko and H. Chabriat, J. Magn. Reson. Imaging 13, 534 (2001).
C. Beaulieu and P. S. Allen, Magn. Reson. Med. 31, 394 (1994).
Y. S. Shim, D. W. Yang, B. S. Kim, Y. M. Shon, W. J. Kim, S. B. Lee, Y. A. Chung and H. S. Sohn, J. Clini. Neurol. 23, 307 (2005).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lee, JS., Im, IC., Kang, SM. et al. Quantitative analysis of diffusion tensor imaging (DTI) using statistical parametric mapping (SPM) for brain disorders. Journal of the Korean Physical Society 63, 83–88 (2013). https://doi.org/10.3938/jkps.63.83
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.3938/jkps.63.83