Lane T - Search Results

1

Discrete dynamic Bayesian network analysis of fMRI data.

Burge J, Lane T, Link H, Qiu S, Clark VP. Burge J, et al. Among authors: lane t. Hum Brain Mapp. 2009 Jan;30(1):122-37. doi: 10.1002/hbm.20490. Hum Brain Mapp. 2009. PMID: 17990301 Free PMC article.

2

Reduced fMRI activity predicts relapse in patients recovering from stimulant dependence.

Clark VP, Beatty GK, Anderson RE, Kodituwakku P, Phillips JP, Lane TD, Kiehl KA, Calhoun VD. Clark VP, et al. Hum Brain Mapp. 2014 Feb;35(2):414-28. doi: 10.1002/hbm.22184. Epub 2012 Sep 27. Hum Brain Mapp. 2014. PMID: 23015512 Free PMC article.

3

Effective connectivity analysis of fMRI and MEG data collected under identical paradigms.

Plis SM, Weisend MP, Damaraju E, Eichele T, Mayer A, Clark VP, Lane T, Calhoun VD. Plis SM, et al. Among authors: lane t. Comput Biol Med. 2011 Dec;41(12):1156-65. doi: 10.1016/j.compbiomed.2011.04.011. Epub 2011 May 17. Comput Biol Med. 2011. PMID: 21592468 Free PMC article.

4

TDCS guided using fMRI significantly accelerates learning to identify concealed objects.

Clark VP, Coffman BA, Mayer AR, Weisend MP, Lane TD, Calhoun VD, Raybourn EM, Garcia CM, Wassermann EM. Clark VP, et al. Neuroimage. 2012 Jan 2;59(1):117-28. doi: 10.1016/j.neuroimage.2010.11.036. Epub 2010 Nov 19. Neuroimage. 2012. PMID: 21094258 Free PMC article. Clinical Trial.

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: lane t. 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.

We utilized a discrete dynamic Bayesian network (dDBN) approach (Burge, J., Lane, T., Link, H., Qiu, S., Clark, V.P., 2007. Discrete dynamic Bayesian network analysis of fMRI data. Hum Brain Mapp.) to determine differences in brain regions between patients with schi …

We utilized a discrete dynamic Bayesian network (dDBN) approach (Burge, J., Lane, T., Link, H., Qiu, S., Clark, V.P., 2007. Di …

6

Implications of phase transitions in knockdown networks of transitive RNAi.

Qiu S, Lane T. Qiu S, et al. Among authors: lane t. IEEE Trans Nanobioscience. 2007 Mar;6(1):68-76. doi: 10.1109/tnb.2007.891904. IEEE Trans Nanobioscience. 2007. PMID: 17393852

7

RNA string kernels for RNAi off-target evaluation.

Qiu S, Lane T. Qiu S, et al. Among authors: lane t. Int J Bioinform Res Appl. 2006;2(2):132-46. doi: 10.1504/IJBRA.2006.009764. Int J Bioinform Res Appl. 2006. PMID: 18048158

8

High-order interactions observed in multi-task intrinsic networks are dominant indicators of aberrant brain function in schizophrenia.

Plis SM, Sui J, Lane T, Roy S, Clark VP, Potluru VK, Huster RJ, Michael A, Sponheim SR, Weisend MP, Calhoun VD. Plis SM, et al. Among authors: lane t. Neuroimage. 2014 Nov 15;102 Pt 1(0 1):35-48. doi: 10.1016/j.neuroimage.2013.07.041. Epub 2013 Jul 20. Neuroimage. 2014. PMID: 23876245 Free PMC article.

9

A computational study of off-target effects of RNA interference.

Qiu S, Adema CM, Lane T. Qiu S, et al. Among authors: lane t. Nucleic Acids Res. 2005 Mar 30;33(6):1834-47. doi: 10.1093/nar/gki324. Print 2005. Nucleic Acids Res. 2005. PMID: 15800213 Free PMC article.

10

A framework for multiple kernel support vector regression and its applications to siRNA efficacy prediction.

Qiu S, Lane T. Qiu S, et al. Among authors: lane t. IEEE/ACM Trans Comput Biol Bioinform. 2009 Apr-Jun;6(2):190-9. doi: 10.1109/TCBB.2008.139. IEEE/ACM Trans Comput Biol Bioinform. 2009. PMID: 19407344 Free PMC article.

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