Author:
Gast Hila,Horowitz Assaf,Krupnik Ronnie,Barazany Daniel,Lifshits Shlomi,Ben-Amitay Shani,Assaf Yaniv
Abstract
AbstractIn this paper we demonstrate a generalized and simplified pipeline called axonal spectrum imaging (AxSI) for in-vivo estimation of axonal characteristics in the human brain. Whole-brain estimation of the axon diameter, in-vivo and non-invasively, across all fiber systems will allow exploring uncharted aspects of brain structure and function relations with emphasis on connectivity and connectome analysis. While axon diameter mapping is important in and of itself, its correlation with conduction velocity will allow, for the first time, the explorations of information transfer mechanisms within the brain. We demonstrate various well-known aspects of axonal morphometry (e.g., the corpus callosum axon diameter variation) as well as other aspects that are less explored (e.g., axon diameter-based separation of the superior longitudinal fasciculus into segments). Moreover, we have created an MNI based mean axon diameter map over the entire brain for a large cohort of subjects providing the reference basis for future studies exploring relation between axon properties, its connectome representation, and other functional and behavioral aspects of the brain.
Funder
Israel Science Foundation
BIRAX
NSFBSF
Publisher
Springer Science and Business Media LLC
Subject
Information Systems,General Neuroscience,Software
Reference84 articles.
1. Aboitiz, F., Scheibel, A. B., Fisher, R. S., & Zaidel, E. (1992). Fiber composition of the human corpus callosum. Brain Research, 598(1–2), 143–153. https://doi.org/10.1016/0006-8993(92)90178-C.
2. Andersson, J., & Jenkinson, M. (2007). of, S. S.-F. A. G., & undefined. (2007). Non-linear registration, aka Spatial normalisation FMRIB technical report TR07JA2. Fmrib.Ox.Ac.Uk. https://www.fmrib.ox.ac.uk/datasets/techrep/tr07ja2/tr07ja2.pdf
3. Andersson, J. L. R., Skare, S., & Ashburner, J. (2003). How to correct susceptibility distortions in spin-echo echo-planar images: Application to diffusion tensor imaging. Neuroimage, 20(2), 870–888. https://doi.org/10.1016/S1053-8119(03)00336-7.
4. Andersson, J. L. R., & Sotiropoulos, S. N. (2016). An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. Neuroimage, 125, 1063–1078. https://doi.org/10.1016/J.NEUROIMAGE.2015.10.019.
5. Assaf, Y., Alexander, D., Jones, D., & Neuroimage, A. B. (2013). & U. (2013). The CONNECT project: combining macro-and micro-structure. NeuroImage. https://www.sciencedirect.com/science/article/pii/S1053811913005491
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献