Regularized hyperalignment of multi-set fMRI data

@article{Xu2012RegularizedHO,
  title={Regularized hyperalignment of multi-set fMRI data},
  author={Hao Xu and Alexander Lorbert and Peter J. Ramadge and J. Swaroop Guntupalli and James V. Haxby},
  journal={2012 IEEE Statistical Signal Processing Workshop (SSP)},
  year={2012},
  pages={229-232}
}
Inter-subject correspondence is an important aspect of multi-subject fMRI studies. Recently, a new approach, called hyperalignment, has shown very promising results in fMRI functional alignment. Hyperalignment is based on Procrustean rotations and is connected, mathematically, to canonical correlation analysis. We review the core details of each approach, relate them through an SVD analysis, and indicate why they can yield different levels of performance. We then examine the effectiveness of… CONTINUE READING

Figures and Topics from this paper.

Explore Further: Topics Discussed in This Paper

Citations

Publications citing this paper.
SHOWING 1-10 OF 19 CITATIONS

Gradient Hyperalignment for multi-subject fMRI data alignment

VIEW 9 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Deep Hyperalignment

VIEW 13 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

Multi-Objective Cognitive Model: a Supervised Approach for Multi-subject fMRI Analysis

VIEW 11 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

A Reduced-Dimension fMRI Shared Response Model

VIEW 4 EXCERPTS
CITES BACKGROUND & METHODS

Multi-dataset Low-rank Matrix Factorization

  • 2019 53rd Annual Conference on Information Sciences and Systems (CISS)
  • 2019
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 25 REFERENCES

A common

J. V. Haxby, J. S. Guntupalli, +5 authors P. J. Ramadge
  • high-dimensional model of the representational space in human ventral temporal cortex,” Neuron, vol. 72, no. 2, pp. 404–416
  • 2011
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

B

M. R. Sabuncu, B. D. Singer
  • Conroy, R.E. Bryan, P.J. Ramadge, and J.V. Haxby, “Function based inter-subject alignment of human cortical anatomy,” Cerebral Cortex
  • 2009
VIEW 1 EXCERPT

M

M. W. Woolrich, S. Jbabdi, +4 authors C. Beckmann
  • Jenkinson, and S.M. Smith, “Bayesian analysis of neuroimaging data in fsl,” NeuroImage, vol. 45, pp. 173–186
  • 2009
VIEW 1 EXCERPT

and V

N. M. Correa, T. Eichele, T. Adal, Y. Li
  • D. Calhoun, “Multi-set canonical correlation analysis for the fusion of concurrent single trial erp and functional mri,” Neuroimage, vol. 50, pp. 1438–1445
  • 2009

and V

Y. Li, T. Adal, W. Wang
  • D. Calhoun, “Joint blind source separation by multiset canonical correlation analysis,” IEEE Trans. Signal Proc., vol. 57, pp. 3918–3919
  • 2009
VIEW 1 EXCERPT