Yao Z - Search Results

1

Discriminative analysis with a limited number of MEG trials in depression.

Lu Q, Jiang H, Bi K, Liu C, Yao Z. Lu Q, et al. Among authors: yao z. J Affect Disord. 2014;167:207-14. doi: 10.1016/j.jad.2014.06.007. Epub 2014 Jun 16. J Affect Disord. 2014. PMID: 24995889

2

Regional homogeneity in depression and its relationship with separate depressive symptom clusters: a resting-state fMRI study.

Yao Z, Wang L, Lu Q, Liu H, Teng G. Yao Z, et al. J Affect Disord. 2009 Jun;115(3):430-8. doi: 10.1016/j.jad.2008.10.013. Epub 2008 Nov 12. J Affect Disord. 2009. PMID: 19007997

3

Depression recognition using resting-state and event-related fMRI signals.

Lu Q, Liu G, Zhao J, Luo G, Yao Z. Lu Q, et al. Among authors: yao z. Magn Reson Imaging. 2012 Apr;30(3):347-55. doi: 10.1016/j.mri.2011.12.016. Epub 2012 Jan 20. Magn Reson Imaging. 2012. PMID: 22260935

4

Impaired prefrontal-amygdala effective connectivity is responsible for the dysfunction of emotion process in major depressive disorder: a dynamic causal modeling study on MEG.

Lu Q, Li H, Luo G, Wang Y, Tang H, Han L, Yao Z. Lu Q, et al. Among authors: yao z. Neurosci Lett. 2012 Aug 15;523(2):125-30. doi: 10.1016/j.neulet.2012.06.058. Epub 2012 Jun 28. Neurosci Lett. 2012. PMID: 22750155

5

Response.

Lu Q, Yao Z. Lu Q, et al. Among authors: yao z. J Magn Reson Imaging. 2013 Feb;37(2):500. doi: 10.1002/jmri.23832. Epub 2012 Dec 19. J Magn Reson Imaging. 2013. PMID: 23280989 No abstract available.

6

Multichannel matching pursuit of MEG signals for discriminative oscillation pattern detection in depression.

Lu Q, Jiang H, Luo G, Han Y, Yao Z. Lu Q, et al. Among authors: yao z. Int J Psychophysiol. 2013 May;88(2):206-12. doi: 10.1016/j.ijpsycho.2013.04.010. Epub 2013 Apr 23. Int J Psychophysiol. 2013. PMID: 23623951 Clinical Trial.

7

Dynamic connectivity laterality of the amygdala under negative stimulus in depression: a MEG study.

Lu Q, Wang Y, Luo G, Li H, Yao Z. Lu Q, et al. Among authors: yao z. Neurosci Lett. 2013 Jun 28;547:42-7. doi: 10.1016/j.neulet.2013.05.002. Epub 2013 May 10. Neurosci Lett. 2013. PMID: 23669637

8

Predicting depression based on dynamic regional connectivity: a windowed Granger causality analysis of MEG recordings.

Lu Q, Bi K, Liu C, Luo G, Tang H, Yao Z. Lu Q, et al. Among authors: yao z. Brain Res. 2013 Oct 16;1535:52-60. doi: 10.1016/j.brainres.2013.08.033. Epub 2013 Aug 28. Brain Res. 2013. PMID: 23994212

9

Identifying major depressive disorder using Hurst exponent of resting-state brain networks.

Wei M, Qin J, Yan R, Li H, Yao Z, Lu Q. Wei M, et al. Among authors: yao z. Psychiatry Res. 2013 Dec 30;214(3):306-12. doi: 10.1016/j.pscychresns.2013.09.008. Epub 2013 Oct 7. Psychiatry Res. 2013. PMID: 24113289

10

Abnormal brain anatomical topological organization of the cognitive-emotional and the frontoparietal circuitry in major depressive disorder.

Qin J, Wei M, Liu H, Yan R, Luo G, Yao Z, Lu Q. Qin J, et al. Among authors: yao z. Magn Reson Med. 2014 Nov;72(5):1397-407. doi: 10.1002/mrm.25036. Epub 2013 Nov 22. Magn Reson Med. 2014. PMID: 24273210 Free article.

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

7,553 results

Search Page

Filters