TY - JOUR
T1 - Subdividing the superior longitudinal fasciculus using local quantitative MRI
AU - Schurr, Roey
AU - Zelman, Ady
AU - Mezer, Aviv A.
N1 - Funding Information: This work was supported by the ISF Grant (no. 0399306) and the NSF/SBE-BSF Grants (NSF no. 1551330 and BSF no. 2015608) awarded to A.A.M. We thank Jesse Gomez and Kalanit Grill-Spector for providing data for testing reproducibility. Their work was supported by NIH RO1EY02988-A1. We thank Brian Wandell for data collection, which was supported by the Weston Havens Foundation, NSF/BCS-1228397 and NIH EY015000. We thank Shai Berman for helpful comments on this manuscript. Funding Information: This work was supported by the ISF Grant (no. 0399306 ) and the NSF/SBE-BSF Grants (NSF no. 1551330 and BSF no. 2015608 ) awarded to A.A.M. We thank Jesse Gomez and Kalanit Grill-Spector for providing data for testing reproducibility. Their work was supported by NIH RO1EY02988-A1 . We thank Brian Wandell for data collection, which was supported by the Weston Havens Foundation, NSF/BCS - 1228397 and NIH EY015000 . We thank Shai Berman for helpful comments on this manuscript. Appendix A Publisher Copyright: © 2019
PY - 2020/3
Y1 - 2020/3
N2 - The association fibers of the superior longitudinal fasciculus (SLF) connect parietal and frontal cortical regions in the human brain. The SLF comprises of three distinct sub-bundles, each presenting a different anatomical trajectory, and specific functional roles. Nevertheless, in vivo studies of the SLF often consider the entire SLF complex as a single entity. In this work, we suggest a data-driven approach that relies on microstructure measurements for separating SLF-III from the rest of the SLF. We apply the SLF-III separation procedure in three independent datasets using parameters of diffusion MRI (fractional anisotropy), as well as relaxometry-based parameters (T1, T2, T2* and T2-weighted/T1-weighted). We show that the proposed procedure is reproducible across datasets and tractography algorithms. Finally, we suggest that differential crossing with different white-matter tracts is the source of the distinct MRI signatures of SLF-II and SLF-III.
AB - The association fibers of the superior longitudinal fasciculus (SLF) connect parietal and frontal cortical regions in the human brain. The SLF comprises of three distinct sub-bundles, each presenting a different anatomical trajectory, and specific functional roles. Nevertheless, in vivo studies of the SLF often consider the entire SLF complex as a single entity. In this work, we suggest a data-driven approach that relies on microstructure measurements for separating SLF-III from the rest of the SLF. We apply the SLF-III separation procedure in three independent datasets using parameters of diffusion MRI (fractional anisotropy), as well as relaxometry-based parameters (T1, T2, T2* and T2-weighted/T1-weighted). We show that the proposed procedure is reproducible across datasets and tractography algorithms. Finally, we suggest that differential crossing with different white-matter tracts is the source of the distinct MRI signatures of SLF-II and SLF-III.
UR - http://www.scopus.com/inward/record.url?scp=85076480734&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.neuroimage.2019.116439
DO - https://doi.org/10.1016/j.neuroimage.2019.116439
M3 - Article
C2 - 31821870
SN - 1053-8119
VL - 208
JO - NeuroImage
JF - NeuroImage
M1 - 116439
ER -