Jiao Y - Search Results

1

Identifying individuals with attention deficit hyperactivity disorder based on temporal variability of dynamic functional connectivity.

Wang XH, Jiao Y, Li L. Wang XH, et al. Among authors: jiao y. Sci Rep. 2018 Aug 7;8(1):11789. doi: 10.1038/s41598-018-30308-w. Sci Rep. 2018. PMID: 30087369 Free PMC article. Clinical Trial.

2

Altered regional homogeneity patterns in adults with attention-deficit hyperactivity disorder.

Wang X, Jiao Y, Tang T, Wang H, Lu Z. Wang X, et al. Among authors: jiao y. Eur J Radiol. 2013 Sep;82(9):1552-7. doi: 10.1016/j.ejrad.2013.04.009. Epub 2013 May 14. Eur J Radiol. 2013. PMID: 23684384

3

Investigating univariate temporal patterns for intrinsic connectivity networks based on complexity and low-frequency oscillation: a test-retest reliability study.

Wang X, Jiao Y, Tang T, Wang H, Lu Z. Wang X, et al. Among authors: jiao y. Neuroscience. 2013 Dec 19;254:404-26. doi: 10.1016/j.neuroscience.2013.09.009. Epub 2013 Sep 13. Neuroscience. 2013. PMID: 24042040

4

Gender versus brain size effects on subcortical gray matter volumes in the human brain.

Tang T, Jiao Y, Wang X, Lu Z. Tang T, et al. Among authors: jiao y. Neurosci Lett. 2013 Nov 27;556:79-83. doi: 10.1016/j.neulet.2013.09.060. Epub 2013 Oct 5. Neurosci Lett. 2013. PMID: 24103376

5

[Anterior and posterior default mode networks impairments in minimal hepatic encephalopathy].

Jiao Y, Tang T, Wang X, Zhu X, Teng G. Jiao Y, et al. Zhonghua Yi Xue Za Zhi. 2016 Feb 2;96(5):334-8. doi: 10.3760/cma.j.issn.0376-2491.2016.05.004. Zhonghua Yi Xue Za Zhi. 2016. PMID: 26875710 Chinese.

6

Predicting clinical symptoms of attention deficit hyperactivity disorder based on temporal patterns between and within intrinsic connectivity networks.

Wang XH, Jiao Y, Li L. Wang XH, et al. Among authors: jiao y. Neuroscience. 2017 Oct 24;362:60-69. doi: 10.1016/j.neuroscience.2017.08.038. Epub 2017 Aug 24. Neuroscience. 2017. PMID: 28843999

7

Predictive models of minimal hepatic encephalopathy for cirrhotic patients based on large-scale brain intrinsic connectivity networks.

Jiao Y, Wang XH, Chen R, Tang TY, Zhu XQ, Teng GJ. Jiao Y, et al. Sci Rep. 2017 Sep 14;7(1):11512. doi: 10.1038/s41598-017-11196-y. Sci Rep. 2017. PMID: 28912425 Free PMC article.

8

Diagnostic model for attention-deficit hyperactivity disorder based on interregional morphological connectivity.

Wang XH, Jiao Y, Li L. Wang XH, et al. Among authors: jiao y. Neurosci Lett. 2018 Oct 15;685:30-34. doi: 10.1016/j.neulet.2018.07.029. Epub 2018 Jul 19. Neurosci Lett. 2018. PMID: 30031733

9

Mapping individual voxel-wise morphological connectivity using wavelet transform of voxel-based morphology.

Wang XH, Jiao Y, Li L. Wang XH, et al. Among authors: jiao y. PLoS One. 2018 Jul 24;13(7):e0201243. doi: 10.1371/journal.pone.0201243. eCollection 2018. PLoS One. 2018. PMID: 30040855 Free PMC article.

10

A unified framework for mapping individual interregional high-order morphological connectivity based on regional cortical features from anatomical MRI.

Wang XH, Jiao Y, Li L. Wang XH, et al. Among authors: jiao y. Magn Reson Imaging. 2020 Feb;66:232-239. doi: 10.1016/j.mri.2019.11.003. Epub 2019 Nov 5. Magn Reson Imaging. 2020. PMID: 31704393

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