Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Robust Fréchet Mean and PGA on Riemannian Manifolds with Applications to Neuroimaging Read chapter Read first chapter

2017 | OriginalPaper | Chapter

A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex

Authors : Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson

Published in: Information Processing in Medical Imaging

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

One of the primary objectives of human brain mapping is the division of the cortical surface into functionally distinct regions, i.e. parcellation. While it is generally agreed that at macro-scale different regions of the cortex have different functions, the exact number and configuration of these regions is not known. Methods for the discovery of these regions are thus important, particularly as the volume of available information grows. Towards this end, we present a parcellation method based on a Bayesian non-parametric mixture model of cortical connectivity.

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

inform now

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!

inform now

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!

inform now
previous chapter Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging
next chapter On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task
Footnotes
1
It is important to make the distinction between physical fascicles and recovered tracts. Here, we define the latter to be the reconstructed tractography.
 
Literature
1.
Baldassano, C., Beck, D.M., Fei-Fei, L.: Parcellating connectivity in spatial maps. PeerJ 3, e784 (2015)CrossRef
2.
Blei, D.M., Frazier, P.I.: Distance dependent Chinese restaurant processes. J. Mach. Learn. Res. 12(Aug), 2461–2488 (2011)MathSciNetMATH
3.
Clarkson, M.J., Malone, I.B., Modat, M., Leung, K.K., Ryan, N., Alexander, D.C., Fox, N.C., Ourselin, S.: A framework for using diffusion weighted imaging to improve cortical parcellation. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6361, pp. 534–541. Springer, Heidelberg (2010). doi:10.​1007/​978-3-642-15705-9_​65 CrossRef
4.
Eickhoff, S.B., Thirion, B., Varoquaux, G., Bzdok, D.: Connectivity-based parcellation: critique and implications. Hum. Brain Mapp. 36(12), 4771–4792 (2015)CrossRef
5.
6.
Fischl, B., et al.: High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum. Brain Mapp. 8(4), 272–284 (1999)CrossRef
7.
Garyfallidis, E., et al.: Dipy, a library for the analysis of diffusion MRI data. Front. Neuroinform. 8(8) (2014)
8.
Hinne, M., et al.: Probabilistic clustering of the human connectome identifies communities and hubs. PLoS ONE 10(1), e0117179 (2015)CrossRef
9.
Honnorat, N., et al.: GraSP: geodesic graph-based segmentation with shape priors for the functional parcellation of the cortex. NeuroImage 106, 207–221 (2015)CrossRef
10.
Jbabdi, S., Woolrich, M.W., Behrens, T.E.J.: Multiple-subjects connectivity-based parcellation using hierarchical Dirichlet process mixture models. NeuroImage 44(2), 373–384 (2009)CrossRef
11.
Johnson, M., et al.: Analyzing hogwild parallel Gaussian Gibbs sampling. In: Advances in Neural Information Processing Systems, pp. 2715–2723 (2013)
12.
Kemp, C., et al.: Learning systems of concepts with an infinite relational model (2006)
13.
Moyer, D., et al.: Mixed membership stochastic blockmodels for the human connectome. MICCAI-Workshop on Bayesian and Graphical Models for Biomedical Imaging 5, 6
14.
Moyer, D., Gutman, B.A., Faskowitz, J., Jahanshad, N., Thompson, P.M.: A continuous model of cortical connectivity. In: Ourselin, S., Joskowicz, L., Sabuncu, M.R., Unal, G., Wells, W. (eds.) MICCAI 2016. LNCS, vol. 9900, pp. 157–165. Springer, Cham (2016). doi:10.​1007/​978-3-319-46720-7_​19 CrossRef
15.
Parisot, S., Arslan, S., Passerat-Palmbach, J., Wells, W.M., Rueckert, D.: Tractography-driven groupwise multi-scale parcellation of the cortex. In: Ourselin, S., Alexander, D.C., Westin, C.-F., Cardoso, M.J. (eds.) IPMI 2015. LNCS, vol. 9123, pp. 600–612. Springer, Cham (2015). doi:10.​1007/​978-3-319-19992-4_​47 CrossRef
16.
Parisot, S., et al.: Group-wise parcellation of the cortex through multi-scale spectral clustering. NeuroImage 136, 68–83 (2016)CrossRef
17.
Pitman, J., et al.: Combinatorial Stochastic Processes. Springer, Heidelberg (2002)
18.
Ryali, S., et al.: A parcellation scheme based on von Mises-Fisher distributions and Markov random fields for segmenting brain regions using resting-state fMRI. NeuroImage 65, 83–96 (2013)CrossRef
19.
Smith, R.E., et al.: Anatomically-constrained tractography: improved diffusion MRI streamlines tractography through effective use of anatomical information. NeuroImage 62(3), 1924–1938 (2012)CrossRef
20.
Sporns, O., Tononi, G., Kötter, R.: The human connectome: a structural description of the human brain. PLoS Comput. Biol. 1(4), e42 (2005)CrossRef
21.
Tournier, J.D., et al.: Resolving crossing fibres using constrained spherical deconvolution: validation using diffusion-weighted imaging phantom data. NeuroImage 42(2), 617–625 (2008)CrossRef
22.
Van Essen, D.C, WU-Minn HCP Consortium et al.: The WU-Minn human connectome project: an overview. NeuroImage 80, 62–79 (2013)
23.
Van Essen, D.C., Glasser, M.F., Dierker, D.L., Harwell, J., Coalson, T.: Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases. Cereb. Cortex 22(10), 2241–2262 (2012)CrossRef
24.
Yeo, B.T., et al.: The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 106(3), 1125–1165 (2011)CrossRef
25.
Zilles, K., Amunts, K.: Centenary of Brodmann’s map–conception and fate. Nat. Rev. Neurosci. 11(2), 139–145 (2010)CrossRef
26.
Zuo, X.N., et al.: An open science resource for establishing reliability and reproducibility in functional connectomics. Sci. Data 1 (2014)
Metadata
Title
A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex
Authors
Daniel Moyer
Boris A. Gutman
Neda Jahanshad
Paul M. Thompson
Copyright Year
2017
Book
Information Processing in Medical Imaging

Print ISBN: 978-3-319-59049-3

Electronic ISBN: 978-3-319-59050-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-59050-9_27

Premium Partner

    Image Credits