Calhoun VD - Search Results

1

Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data.

Meng X, Jiang R, Lin D, Bustillo J, Jones T, Chen J, Yu Q, Du Y, Zhang Y, Jiang T, Sui J, Calhoun VD. Meng X, et al. Among authors: calhoun vd. Neuroimage. 2017 Jan 15;145(Pt B):218-229. doi: 10.1016/j.neuroimage.2016.05.026. Epub 2016 May 10. Neuroimage. 2017. PMID: 27177764 Free PMC article.

2

A method for multi-group inter-participant correlation: abnormal synchrony in patients with schizophrenia during auditory target detection.

Kim D, Pearlson GD, Kiehl KA, Bedrick E, Demirci O, Calhoun VD. Kim D, et al. Among authors: calhoun vd. Neuroimage. 2008 Feb 1;39(3):1129-41. doi: 10.1016/j.neuroimage.2007.09.042. Epub 2007 Oct 4. Neuroimage. 2008. PMID: 17996465 Free PMC article.

3

A projection pursuit algorithm to classify individuals using fMRI data: Application to schizophrenia.

Demirci O, Clark VP, Calhoun VD. Demirci O, et al. Among authors: calhoun vd. Neuroimage. 2008 Feb 15;39(4):1774-82. doi: 10.1016/j.neuroimage.2007.10.012. Neuroimage. 2008. PMID: 18396487 Free PMC article.

4

Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurements.

Caprihan A, Pearlson GD, Calhoun VD. Caprihan A, et al. Among authors: calhoun vd. Neuroimage. 2008 Aug 15;42(2):675-82. doi: 10.1016/j.neuroimage.2008.04.255. Epub 2008 May 7. Neuroimage. 2008. PMID: 18571937 Free PMC article.

5

Hybrid ICA-Bayesian network approach reveals distinct effective connectivity differences in schizophrenia.

Kim D, Burge J, Lane T, Pearlson GD, Kiehl KA, Calhoun VD. Kim D, et al. Among authors: calhoun vd. Neuroimage. 2008 Oct 1;42(4):1560-8. doi: 10.1016/j.neuroimage.2008.05.065. Epub 2008 Jun 17. Neuroimage. 2008. PMID: 18602482 Free PMC article.

6

Measuring brain connectivity: diffusion tensor imaging validates resting state temporal correlations.

Skudlarski P, Jagannathan K, Calhoun VD, Hampson M, Skudlarska BA, Pearlson G. Skudlarski P, et al. Among authors: calhoun vd. Neuroimage. 2008 Nov 15;43(3):554-61. doi: 10.1016/j.neuroimage.2008.07.063. Epub 2008 Aug 15. Neuroimage. 2008. PMID: 18771736 Free PMC article.

7

Joint source based morphometry identifies linked gray and white matter group differences.

Xu L, Pearlson G, Calhoun VD. Xu L, et al. Among authors: calhoun vd. Neuroimage. 2009 Feb 1;44(3):777-89. doi: 10.1016/j.neuroimage.2008.09.051. Epub 2008 Oct 18. Neuroimage. 2009. PMID: 18992825 Free PMC article.

8

A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data.

Calhoun VD, Liu J, Adali T. Calhoun VD, et al. Neuroimage. 2009 Mar;45(1 Suppl):S163-72. doi: 10.1016/j.neuroimage.2008.10.057. Epub 2008 Nov 13. Neuroimage. 2009. PMID: 19059344 Free PMC article. Review.

9

A method for accurate group difference detection by constraining the mixing coefficients in an ICA framework.

Sui J, Adali T, Pearlson GD, Clark VP, Calhoun VD. Sui J, et al. Among authors: calhoun vd. Hum Brain Mapp. 2009 Sep;30(9):2953-70. doi: 10.1002/hbm.20721. Hum Brain Mapp. 2009. PMID: 19172631 Free PMC article.

10

Investigation of relationships between fMRI brain networks in the spectral domain using ICA and Granger causality reveals distinct differences between schizophrenia patients and healthy controls.

Demirci O, Stevens MC, Andreasen NC, Michael A, Liu J, White T, Pearlson GD, Clark VP, Calhoun VD. Demirci O, et al. Among authors: calhoun vd. Neuroimage. 2009 Jun;46(2):419-31. doi: 10.1016/j.neuroimage.2009.02.014. Epub 2009 Feb 23. Neuroimage. 2009. PMID: 19245841 Free PMC article.

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