Skip to main content

2014 | OriginalPaper | Buchkapitel

Rich Club Analysis of Structural Brain Connectivity at 7 Tesla Versus 3 Tesla

verfasst von : Emily L. Dennis, Liang Zhan, Neda Jahanshad, Bryon A. Mueller, Yan Jin, Christophe Lenglet, Essa Yacoub, Guillermo Sapiro, Kamil Ugurbil, Noam Harel, Arthur W. Toga, Kelvin O. Lim, Paul M. Thompson

Erschienen in: Computational Diffusion MRI and Brain Connectivity

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The ‘rich club’ is a relatively new concept in brain connectivity analysis, which identifies a core of densely interconnected high-degree nodes. Establishing normative measures for rich club organization is vital, as is understanding how scanning parameters affect it. We compared the rich club organization in 23 subjects scanned at both 7 and 3 T, with 128-gradient high angular resolution diffusion imaging (HARDI). The rich club coefficient (RCC) did not differ significantly between low and high field scans, but the field strength did affect which nodes were included in the rich club. We also examined 3 subjects with Alzheimer’s disease and 3 healthy elderly controls to see how field strength affected the statistical comparison. RCC did not differ with field strength, but again, which nodes differed between groups did. These results illustrate how one key parameter, scanner field strength, impacts rich club organization – a promising concept in brain connectomics research.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Colizza, V., et al.: Detecting rich-club ordering in complex networks. Nat. Phys. 2, 110–115 (2006)CrossRef Colizza, V., et al.: Detecting rich-club ordering in complex networks. Nat. Phys. 2, 110–115 (2006)CrossRef
2.
Zurück zum Zitat Van den Heuvel, M., Sporns, O.: Rich-club organization of the human connectome. J. Neurosci. 31(44), 15775–15786 (2011)CrossRef Van den Heuvel, M., Sporns, O.: Rich-club organization of the human connectome. J. Neurosci. 31(44), 15775–15786 (2011)CrossRef
3.
Zurück zum Zitat 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) 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.
Zurück zum Zitat Zhan, L., et al.: Magnetic resonance field strength effects on diffusion measures and brain connectivity networks. Brain Connectivity 3(1), 72–86 (2013)CrossRef Zhan, L., et al.: Magnetic resonance field strength effects on diffusion measures and brain connectivity networks. Brain Connectivity 3(1), 72–86 (2013)CrossRef
5.
Zurück zum Zitat Stanisz, G.J., et al.: T1, T2 relaxation and magnetization transfer in tissue at 3T. Magn. Reson. Med. 54, 507–512 (2005)CrossRef Stanisz, G.J., et al.: T1, T2 relaxation and magnetization transfer in tissue at 3T. Magn. Reson. Med. 54, 507–512 (2005)CrossRef
6.
Zurück zum Zitat Yacoub, E., et al.: Spin-echo fMRI in humans using high spatial resolutions and high magnetic fields. Magn. Reson. Med. 49, 655–664 (2003)CrossRef Yacoub, E., et al.: Spin-echo fMRI in humans using high spatial resolutions and high magnetic fields. Magn. Reson. Med. 49, 655–664 (2003)CrossRef
7.
Zurück zum Zitat Gallichan, D., et al.: Addressing a systematic vibration artifact in diffusion-weighted MRI. Hum. Brain Mapp. 31, 193–202 (2010) Gallichan, D., et al.: Addressing a systematic vibration artifact in diffusion-weighted MRI. Hum. Brain Mapp. 31, 193–202 (2010)
8.
Zurück zum Zitat Smith, S.M., et al.: Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23, 208–219 (2004)CrossRef Smith, S.M., et al.: Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23, 208–219 (2004)CrossRef
9.
Zurück zum Zitat Woolrich, M.W., et al.: Bayesian analysis of neuroimaging data in FSL. Neuroimage 45, S173–S186 (2009)CrossRef Woolrich, M.W., et al.: Bayesian analysis of neuroimaging data in FSL. Neuroimage 45, S173–S186 (2009)CrossRef
10.
Zurück zum Zitat 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) 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.
Zurück zum Zitat Basser, P.J., et al.: In vivo fiber tractography using DT-MRI data. Magn. Reson. Med. 44, 625–632 (2000)CrossRef Basser, P.J., et al.: In vivo fiber tractography using DT-MRI data. Magn. Reson. Med. 44, 625–632 (2000)CrossRef
12.
Zurück zum Zitat 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)CrossRef 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)CrossRef
13.
Zurück zum Zitat 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)CrossRef 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)CrossRef
14.
Zurück zum Zitat 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)CrossRef 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)CrossRef
15.
Zurück zum Zitat Rubinov, M., Sporns, O.: Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52, 1059–1069 (2010)CrossRef Rubinov, M., Sporns, O.: Complex network measures of brain connectivity: uses and interpretations. Neuroimage 52, 1059–1069 (2010)CrossRef
16.
Zurück zum Zitat 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)MATHMathSciNet 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)MATHMathSciNet
Metadaten
Titel
Rich Club Analysis of Structural Brain Connectivity at 7 Tesla Versus 3 Tesla
verfasst von
Emily L. Dennis
Liang Zhan
Neda Jahanshad
Bryon A. Mueller
Yan Jin
Christophe Lenglet
Essa Yacoub
Guillermo Sapiro
Kamil Ugurbil
Noam Harel
Arthur W. Toga
Kelvin O. Lim
Paul M. Thompson
Copyright-Jahr
2014
DOI
https://doi.org/10.1007/978-3-319-02475-2_19