The effect and reproducibility of different clinical DTI gradient sets on small world brain connectivity measures. Vaessen, M. J., Hofman, P. A., Tijssen, H. N., Aldenkamp, A. P., Jansen, J. F., & Backes, W. H. Neuroimage, 51(3):1106-16, 2010. Vaessen, M J Hofman, P A M Tijssen, H N Aldenkamp, A P Jansen, J F A Backes, W H eng Research Support, Non-U.S. Gov't 2010/03/17 06:00 Neuroimage. 2010 Jul 1;51(3):1106-16. doi: 10.1016/j.neuroimage.2010.03.011. Epub 2010 Mar 11.
The effect and reproducibility of different clinical DTI gradient sets on small world brain connectivity measures [link]Paper  doi  abstract   bibtex   
Advances in computational network analysis have enabled the characterization of topological properties in large scale networks including the human brain. Information on structural networks in the brain can be obtained in-vivo by performing tractography on diffusion tensor imaging (DTI) data. However, little is known about the reproducibility of network properties derived from whole brain tractography data, which has important consequences for minimally detectable abnormalities or changes over time. Moreover, acquisition parameters, such as the number of gradient directions and gradient strength, possibly influence network metrics and the corresponding reproducibility derived from tractography data. The aim of the present study is twofold: (i) to determine the effect of several clinically available DTI sampling schemes, differing in number of gradient directions and gradient amplitude, on small world metrics and (ii) to evaluate the interscan reproducibility of small world metrics. DTI experiments were conducted on six healthy volunteers scanned twice. Probabilistic tractography was performed to reconstruct structural connections between regions defined from an anatomical atlas. The observed reproducibility of the network measures was high, reflected by low values for the coefficient of variation (<3.8%), advocating the use of graph theoretical measurements to study neurological diseases. Small world metrics were dependent on the choice of DTI gradient scheme and showed stronger connectivity with increasing directional resolution. The interscan reproducibility was not dependent on the gradient scheme. These findings should be considered when comparing results across studies using different gradient schemes or designing new studies.
@article{RN141,
   author = {Vaessen, M. J. and Hofman, P. A. and Tijssen, H. N. and Aldenkamp, A. P. and Jansen, J. F. and Backes, W. H.},
   title = {The effect and reproducibility of different clinical DTI gradient sets on small world brain connectivity measures},
   journal = {Neuroimage},
   volume = {51},
   number = {3},
   pages = {1106-16},
   note = {Vaessen, M J
Hofman, P A M
Tijssen, H N
Aldenkamp, A P
Jansen, J F A
Backes, W H
eng
Research Support, Non-U.S. Gov't
2010/03/17 06:00
Neuroimage. 2010 Jul 1;51(3):1106-16. doi: 10.1016/j.neuroimage.2010.03.011. Epub 2010 Mar 11.},
   abstract = {Advances in computational network analysis have enabled the characterization of topological properties in large scale networks including the human brain. Information on structural networks in the brain can be obtained in-vivo by performing tractography on diffusion tensor imaging (DTI) data. However, little is known about the reproducibility of network properties derived from whole brain tractography data, which has important consequences for minimally detectable abnormalities or changes over time. Moreover, acquisition parameters, such as the number of gradient directions and gradient strength, possibly influence network metrics and the corresponding reproducibility derived from tractography data. The aim of the present study is twofold: (i) to determine the effect of several clinically available DTI sampling schemes, differing in number of gradient directions and gradient amplitude, on small world metrics and (ii) to evaluate the interscan reproducibility of small world metrics. DTI experiments were conducted on six healthy volunteers scanned twice. Probabilistic tractography was performed to reconstruct structural connections between regions defined from an anatomical atlas. The observed reproducibility of the network measures was high, reflected by low values for the coefficient of variation (<3.8%), advocating the use of graph theoretical measurements to study neurological diseases. Small world metrics were dependent on the choice of DTI gradient scheme and showed stronger connectivity with increasing directional resolution. The interscan reproducibility was not dependent on the gradient scheme. These findings should be considered when comparing results across studies using different gradient schemes or designing new studies.},
   keywords = {Adult
*Algorithms
Brain/*anatomy & histology
Diffusion Magnetic Resonance Imaging/*methods
Female
Humans
Image Enhancement/methods
Image Interpretation, Computer-Assisted/*methods
Male
Nerve Net/*anatomy & histology
Neural Pathways/*anatomy & histology
Reproducibility of Results
Sensitivity and Specificity},
   ISSN = {1095-9572 (Electronic)
1053-8119 (Linking)},
   DOI = {10.1016/j.neuroimage.2010.03.011},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/20226864
https://www.sciencedirect.com/science/article/abs/pii/S1053811910002818?via%3Dihub},
   year = {2010},
   type = {Journal Article}
}
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