HBM17course

Pattern Recognition in Neuroimaging Course at HBM'17: Mapping Activation Patterns Across Individuals
  • Programme
  • Slides for the tutorial on mapping activation patterns across individuals by Georg Langs are available here: slides
  • Code written by Satrajit Ghosh for the alignment of functional networks is available here: git
  • Code for hyperalignment by Yaroslav Halchenko here: url

Reading list for the course on mapping activation patterns across individuals:

Mapping based on response patterns:

  • J. V. Haxby, J. S. Guntupalli, A. C. Connolly, Y. O. Halchenko, B. R. Conroy, M. I. Gobbini, M. Hanke, and P. J. Ramadge, “A Common, High-Dimensional Model of the Representational Space in Human Ventral Temporal Cortex,” Neuron, vol. 72, no. 2, pp. 404–416, Oct. 2011.

Mapping based on intrinsic functional connectivity patterns:

  • K.H. Nenning, H. Liuc, S. Ghoshd, M. Sabuncu, E. Schwartz, G. Langs. Diffeomorphic Functional Brain Surface Alignment: Functional Demons. in NeuroImage (2017)
  • G. Langs, Y. Tie, L. Rigolo, A. Golby, and P. Golland, “Functional Geometry Alignment and Localization of Brain Areas,” Advances in neural information processing systems NIPS, vol. 23, pp. 1225–1233, 2010.
  • G. Langs, A. Sweet, D. Lashkari, Y. Tie, L. Rigolo, A. J. Golby, and P. Golland, “Decoupling function and anatomy in atlases of functional connectivity patterns: Language mapping in tumor patients.,” NeuroImage, vol. 103, pp. 462–475, Dec. 2014.
  • Conroy, B. R., Singer, B. D., Guntupalli, J. S. , Ramadge, P. J. and Haxby, J. V. (2013). Inter-subject alignment of human cortical anatomy using functional connectivity. NeuroImage, 81, 400-411.
  • Wang D, Buckner RL, Fox MD, Holt DJ, Holmes AJ, Stoecklein S, Langs G, Pan R, Qian T, Li K, Baker JT. Parcellating cortical functional networks in individuals. Nature Neuroscience; 2015.

Multimodal mapping

  •  Robinson, E. C., Jbabdi, S., Glasser, M. F., Andersson, J., Burgess, G. C., Harms, M. P., et al. (2014). MSM: A new flexible framework for Multimodal Surface Matching. NeuroImage, 100(C), 414–426. http://doi.org/10.1016/j.neuroimage.2014.05.069

Background:

  • R. L. Buckner and F. M. Krienen, The evolution of distributed association networks in the human brain. Trends in Cognitive Sciences, vol. 17, no. 12, pp. 648–665, 2013.
  • R. R. Coifman and S. Lafon, “Diffusion maps,” Applied and Computational Harmonic Analysis, vol. 21, no. 1, pp. 5–30, 2006.
  • J. Hill, T. Inder, J. Neil, D. Dierker, J. Harwell, and D. van Essen, “Similar patterns of cortical expansion during human development and evolution,” Proceedings of the National Academy of Sciences, vol. 107, no. 29, pp. 13135–13140, 2010.
  • A Jakab, E Schwartz, G Kasprian, G M. Gruber, D Prayer, V Schöpf, and G Langs. Fetal functional imaging portrays heterogeneous development of emerging human brain networks. Frontiers in human neuroscience 8 (2014).
  • S. Mueller, D. Wang, M. D. Fox, B. T. T. Yeo, J. Sepulcre, M. R. Sabuncu, R. Shafee, J. Lu, and H. Liu, “Individual Variability in Functional Connectivity Architecture of the Human Brain,” Neuron, vol. 77, no. 3, pp. 586–595, Feb. 2013.
  • R. Rosales and B. Frey, “Learning generative models of similarity matrices,” presented at the Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence, 2002, pp. 485–492.
  • J. Sepulcre, H. Liu, T. Talukdar, I. Martincorena, B. Yeo, and O. Sporns, “The Organization of Local and Distant Functional Connectivity in the Human Brain,” PLoS Comput Biol, vol. 6, no. 6, p. e1000808, 2010.
Symposium on Connectomic insights into brain development before birth