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Statistical Challenges and Advances in Brain Science

by Karen Li <Statistica.Sinica@[EMAIL PROTECTED] > Sep 9, 2008 at 09:06 PM

Dear all,

Statistica Sinica will publish theme articles on "Statistical
Challenges and Advances in Brain Scinece", with invited editorials by
Professors Karl Friston and Nicholas Lange. Please see the attached
list of titles and authors of the theme articles. As requested by some
readers, we will take orders of this single issue. The hard copy via
surface mail is US$13, and airmail, US$20. Please email me
(karen@[EMAIL PROTECTED]
) your mailing address and indicate the
number of copies you need before Oct. 10, 2008.

Sincerely,
Karen Li, on behalf of the editorial office

PS. Checks in US currency must be payable to:
Statistica Sinica
Institute of Statistical Science,
Academia Sinica
Taipei 11529, TAIWAN

Statistical Challenges and Advances in Brain Science

A supervised singular value decomposition for independent component
analysis of fMRI
Ping Bai, Haipeng Shen, Xuemei Huang and Young Truong

A bootstrap test to investigate changes in brain connectivity for
functional MRI
Pierre Bellec, Guillaume Marrelec and Habib Benali

Encoding cortical surface by spherical harmonics
Moo K. Chung, Richard Hartley, Kim Dalton and Richard J. Davidson

Continuous-time filters for state estimation from point process models
of neural data
Uri T. Eden and Emery N. Brown

An overview of modeling techniques for hybrid brain data
Apratim Guha and Atanu Biswas

Mixture modeling for dynamic PET data
Huiping Jiang and R. Todd Ogden

Dealing with spatial normalization errors in fMRI group inference
using hierarchical modeling
Merlin Keller, Alexis Roche, Alan Tucholka and Bertrand Thirion

Nonparametric bootstrap for mixed-effects models for repeated spatial
proximity measures (K-functions) with applications in neuropathology
Sabine Landau and Ian P. Everall

The acquisition and statistical analysis of rapid 3D fMRI data
Martin A. Lindquist, Cun-Hui Zhang, Gary Glover and Lawrence Shepp

Residual analysis for detecting mis-modeling in fMRI
J. M. Loh, M. A. Lindquist and T. D. Wager

Penalized PARAFAC analysis of spontaneous EEG recordings
Eduardo Martinez-Montes, Jose M. Sanchez-Bornot and Pedro A. Valdes-
Sosa

Spatio-spectral analysis of brain signals
Hernando Ombao, Xiaofeng Shao, Elena Rykhlevskaia, Monica Fabiani and
Gabriele Gratton

Inferring individual differences in fMRI: Finding brain regions with
significant within subject correlation
Sumitra Purkayastha, Tor D. Wager and Thomas E. Nichols

Uncovering sparse brain effective connectivity: A voxel-based approach
using penalized regression
Jose M. Sanchez-Bornot, Eduardo Martinez-Montes, Agustin Lage-
Castellanos, Mayrim Vega-Hernandez and Pedro A. Valdes-Soda

Scope of resampling-based tests in fNIRS neuroimaging data analysis
Archana K. Singh, Lester Clowney, Masako Okamoto, James B. Cole and
Ippeita Dan

Penalized least squares methods for solving the EEG inverse problem
Mayrim Vega-Hernandez, Eduardo Martinez-Montes, Jose M. Sanchez-
Bornot, Agustin Lage-Castellanos and Pedro A. Valdes-Sosa

Hybrid permutation test with application to surface shape analysis
Chunxiao Zhou and Yongmei Michelle Wang

Statistical modelling of brain morphological measures within family
pedigrees
Hongtu Zhu, Yimei Li, Niansheng Tang, Ravi Bansal, Xuejun Hao, Myrna
M. Weissman and Bradley G. Peterson
 




 1 Posts in Topic:
Statistical Challenges and Advances in Brain Science
Karen Li <Statistica.S  2008-09-09 21:06:51 

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