White matter organization in relation to upper limb motor control in healthy subjects: exploring the added value of diffusion kurtosis imaging

作者: J. Gooijers , A. Leemans , S. Van Cauter , S. Sunaert , S. P. Swinnen

DOI: 10.1007/S00429-013-0590-Y

关键词:

摘要: Diffusion tensor imaging (DTI) characterizes white matter (WM) microstructure. In many brain regions, however, the assumption that diffusion probability distribution is Gaussian may be invalid, even at low b values. Recently, kurtosis (DKI) was suggested to more accurately estimate this distribution. We explored added value of DKI in studying relation between WM microstructure and upper limb coordination healthy controls (N = 24). Performance on a complex bimanual tracking task studied with respect conventional DTI measures (DKI or derived) metrics tracts/regions carrying efferent (motor) output from brain, corpus callosum (CC) substructures whole WM. For both estimation models, motor performance associated fractional anisotropy (FA) CC-genu, CC-body, anterior internal capsule, (rs range 0.42–0.63). Although revealed higher mean, radial axial diffusivity lower FA than (p < 0.001), correlation coefficients were comparable. Finally, better increased mean 0.43–0.55). conclusion, provided additional information, but did not show sensitivity detect relations controls.

参考文章(73)
Jelle Veraart, Jeny Rajan, Ronald R. Peeters, Alexander Leemans, Stefan Sunaert, Jan Sijbers, Comprehensive framework for accurate diffusion MRI parameter estimation Magnetic Resonance in Medicine. ,vol. 70, pp. 972- 984 ,(2013) , 10.1002/MRM.24529
Greetje Vanhoutte, Sandra Pereson, Rafael Delgado y Palacios, Pieter-Jan Guns, Bob Asselbergh, Jelle Veraart, Jan Sijbers, Marleen Verhoye, Christine Van Broeckhoven, Annemie Van der Linden, Diffusion kurtosis imaging to detect amyloidosis in an APP/PS1 mouse model for Alzheimer's disease Magnetic Resonance in Medicine. ,vol. 69, pp. 1115- 1121 ,(2013) , 10.1002/MRM.24680
Derek K. Jones, Alexander Leemans, Diffusion tensor imaging. Methods of Molecular Biology. ,vol. 711, pp. 127- 144 ,(2011) , 10.1007/978-1-61737-992-5_6
P.J. Basser, J. Mattiello, D. LeBihan, MR diffusion tensor spectroscopy and imaging. Biophysical Journal. ,vol. 66, pp. 259- 267 ,(1994) , 10.1016/S0006-3495(94)80775-1
Sjoerd B. Vos, Derek K. Jones, Ben Jeurissen, Max A. Viergever, Alexander Leemans, The influence of complex white matter architecture on the mean diffusivity in diffusion tensor MRI of the human brain. NeuroImage. ,vol. 59, pp. 2208- 2216 ,(2012) , 10.1016/J.NEUROIMAGE.2011.09.086
Jens H. Jensen, Joseph A. Helpern, MRI quantification of non-Gaussian water diffusion by kurtosis analysis. NMR in Biomedicine. ,vol. 23, pp. 698- 710 ,(2010) , 10.1002/NBM.1518
Brett W. Fling, Christine M. Walsh, Ashley S. Bangert, Patricia A. Reuter-Lorenz, Robert C. Welsh, Rachael D. Seidler, Differential Callosal Contributions to Bimanual Control in Young and Older Adults Journal of Cognitive Neuroscience. ,vol. 23, pp. 2171- 2185 ,(2011) , 10.1162/JOCN.2010.21600
Joseph A. Helpern, Vitria Adisetiyo, Maria F. Falangola, Caixia Hu, Adriana Di Martino, Kathleen Williams, Francisco X. Castellanos, Jens H. Jensen, Preliminary evidence of altered gray and white matter microstructural development in the frontal lobe of adolescents with attention-deficit hyperactivity disorder: a diffusional kurtosis imaging study. Journal of Magnetic Resonance Imaging. ,vol. 33, pp. 17- 23 ,(2011) , 10.1002/JMRI.22397
Van J. Wedeen, Patric Hagmann, Wen-Yih Isaac Tseng, Timothy G. Reese, Robert M. Weisskoff, Mapping complex tissue architecture with diffusion spectrum magnetic resonance imaging. Magnetic Resonance in Medicine. ,vol. 54, pp. 1377- 1386 ,(2005) , 10.1002/MRM.20642