Xiaojing Fang
© Xiaojing Fang
Neurowissenschaftler
NameDr. Xiaojing Fang
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Kontakt Forschungsgruppe Dynamische Gehirnzustände und Bildgebungsmethoden
Kontakt Forschungsgruppe Dynamische Gehirnzustände und Bildgebungsmethoden
Postadresse:
Technische Universität Dresden Forschungsbereich Systemische Neurowissenschaften Würzburger Straße 35
01187 Dresden
Research Interests
Quantitative analysis of the human brain based on resting-state functuinal Magnetic resonance imaging (rs-fMRI):
- Independent component analysis (ICA)
- Time-series correlation analysis
Clinical researsch:
- The effect of alcohol on couplings between brain regions at the rest state
Employment
| since 2017 |
Postdoc, the Section of Systems Neuroscience, Technische Universität Dresden, Germany |
Education and Qualifications
| 2016 |
Ph.D., Department of Biomedical Engineering, University of Electronic Science and Technology of China , China |
| 2008 |
M.S.，Department of Computer Science, Southwest University, China |
| 2005 | B.S., Department of Computer Science, Southwest University, China |
Fang, X, Zhang, Y, Wang, Y, Zhang, Y, Hu, J, Wang, J, Zhang, J & Jiang, T (2016) Disrupted effective connectivity of the sensorimotor network in amyotrophic lateral sclerosis. J Neurol 263(3):1-7.
https://doi.org/10.1007/s00415-015-8013-z
Fang X, Zhang Y, Zhou Y, Cheng L, Li J, Wang Y, Friston K & Jiang T (2016) Resting-state coupling between core regions within the central-executive and salience networks contributes to working memory performance. Front. Behav. Neurosci, 10: 10-27.
https://doi.org/10.3389/fnbeh.2016.00027
Fang X, Wang Y, Cheng L, Zhang Y, Zhou Y, Wu S, Huang H, Zou J, Chen C, Chen J & Wang H (2018) Prefrontal dysconnectivity links to working memory deficit in first-episode schizophrenia. Brain Imaging Behav 12(2): 335-344.
https://doi.org/10.1007/s11682-017-9692-0