Rich club analysis of structural brain connectivity at 7 tesla versus 3 tesla

Mathematics and Visualization

Volumn 0, Issue , 2014, Pages 209-218

  Dennis, Emily L ^a,b   Zhan, Liang ^a,b   Jahanshad, Neda ^a,b   Mueller, Bryon A ^c   Jin, Yan ^a,b   Lenglet, Christophe ^d   Yacoub, Essa ^d   Sapiro, Guillermo ^e   Ugurbil, Kamil ^d   Harel, Noam ^a,b   Toga, Arthurw ^a   Lim, Kelvin O ^c   Thompson, Paul M ^a,b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF MINNESOTA   (United States)

^d UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

^e Duke University   (United States)

Author keywords

7T; Alzheimer s; Connectivity; Connectome; DTI; Field strength; Rich club; Tractography

Indexed keywords

MAGNETIC RESONANCE IMAGING;

ALZHEIMER; CONNECTIVITY; CONNECTOME; FIELD STRENGTHS; RICH CLUB; TRACTOGRAPHY;

MEDICAL IMAGING;

EID: 84962841435     PISSN: 16123786     EISSN: 2197666X     Source Type: Book Series    
DOI: 10.1007/978-3-319-02475-2_19     Document Type: Conference Paper

References (16)

1. Colizza, V., et al.: Detecting rich-club ordering in complex networks. Nat. Phys. 2, 110-115 (2006)
2. Van den Heuvel, M., Sporns, O.: Rich-club organization of the human connectome. J. Neurosci. 31(44), 15775-15786 (2011)
3. Dennis, E.L., et al.: Development of the “rich club” in brain connectivity networks from adolescents and adults aged 12 to 30. In: Proceedings of the 10th IEEE ISBI, pp. 624-627 (2013)
4. Zhan, L., et al.: Magnetic resonance field strength effects on diffusion measures and brain connectivity networks. Brain Connectivity 3(1), 72-86 (2013)
5. Stanisz, G.J., et al.: T1, T2 relaxation and magnetization transfer in tissue at 3T. Magn. Reson. Med. 54, 507-512 (2005)
6. Yacoub, E., et al.: Spin-echo fMRI in humans using high spatial resolutions and high magnetic fields. Magn. Reson. Med. 49, 655-664 (2003)
7. Gallichan, D., et al.: Addressing a systematic vibration artifact in diffusion-weighted MRI. Hum. Brain Mapp. 31, 193-202 (2010)
8. Smith, S.M., et al.: Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23, 208-219 (2004)
9. Woolrich, M.W., et al.: Bayesian analysis of neuroimaging data in FSL. Neuroimage 45, S173-S186 (2009)
10. Wang, R., Benner, T., Sorensen, A.G., Wedeen, V.J.: Diffusion toolkit: a software package for diffusion imaging data processing and tractography. Proc. Intl. Soc. Magn. Reson. Med. 15, 3720 (2007)
11. Basser, P.J., et al.: In vivo fiber tractography using DT-MRI data. Magn. Reson. Med. 44, 625-632 (2000)
12. Duarte-Carvajalino, J.M., et al.: Hierarchical topological network analysis of anatomical human brain connectivity and differences related to sex and kinship. Neuroimage 59(4), 3784-3804 (2012)
13. Desikan, R.S., et al.: An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. Neuroimage 31, 968-980 (2006)
14. Morgan, V.L., et al.: Integrating functional and diffusion magnetic resonance imaging for analysis of structure-function relationship in the human language network. PLoS One 4, e6660 (2009)
15. Rubinov, M., Sporns, O.: Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52, 1059-1069 (2010)
16. Benjamini, Y., Hochberg, Y.: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat Soc B 57(1), 289-300 (1995)