Xiaojing Fang, Ph.D. Biomedical Engineering

Postdoctoral Research Fellow Department of Psychiatry and Psychotherapy Technische Universität Dresden

Research interests:  Quantitative analysis of the human brain based on resting-state fMRIModel and structural MRI  Imaging Genetics

– CV – Publications

Contact: Phone: +49 (0)351 463-42216 Fax: +49 (0)351 463-42202 Email: [email protected] Curriculum Vitae

Xiaojing Fang

Education and Training:

05/2017 – present Postdoctoral Research Fellow, Department of Psychology Faculty of Science Technische Universität Dresden, Germany

2016 Ph.D. in Biomedical Engineering University of Electronic Science and Technology of China, Chengdu, China Thesis title: The Working Memory Network Study Based on Resting-State Functional Magnetic Resonance Imaging Supervisor: Dr. Tianzi Jiang

2008 M.S. in Computer Science Southwest University, Chongqing, China Thesis title: The Evolution of Virtual Creature Based on Reinforcement Learning Supervisor: Dr. Huiwen Deng

2005 B.S. in Computer Science Southwest University, Chongqing, China Thesis title: The Study of Spam Filtering With Naïve Bayes Classifier Supervisor: Dr. Zili Zhang

Professional Experience:

2010 – 2016 School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China Ph.D. student (Supervisor: Dr. Tianzi Jiang) Joined in the project titled “Investigations of Brain Networks with Multimodal Imaging and Clinical Applications” (supported by the National Basic Research Program of China, 973 Program). Investigated manifestation of the working memory network in the prefrontal cortex in the healthy people and patients with schizophrenia and regulation of DRD3 gene on working memory and the striatum/prefrontal cortex via spectral dynamic causal modeling. (Joint supervisor: Dr. Yuanchao Zhang) Investigated the functional impact of neurodegenerative diseases (such as amyotrophic lateral sclerosis, Parkinson’s disease) on the motor and extra-motor cortices in patients, e.g., aberrant causal relationship within the sensorimotor and default mode networks.

2011 Institute of Automation, Chinese Academy of Sciences, Beijing, China Visiting student (Supervisor: Dr. Tianzi Jiang) Studied functional parcellation of the thalamus based on resting-state functional connectivity. Investigated the connectivity patterns differences in the whole brain between healthy juveniles and patients with attention- deficit hyperactivity disorder (ADHD) during development. 2005 - 2008 School of Computer and Information Science, Southwest University, Chongqing, China Graduate student (Supervisor: Dr. Huiwen Deng) Investigated influence of a combination between genetic algorithm and artificial neural network on agent’s reinforcement learning. The work used this combination to promote the learning ability of virtual intelligent agents and to achieve survival of the fittest during evolution of these agents.

2005 School of Computer and Information Science, Southwest University, Chongqing, China Undergraduate student (Supervisor: Dr. Zili Zhang) Investigated various anti-spam algorithms. Explored validity of these classification algorithms. Estimated the performance of naïve Bayesian algorithm in spam filtering and promoted efficiency of this filter by optimizing steps in preprocessing.

Honors, Awards, Positions:

1.InnovationFund of the Fundamental Research Funds for the Central Universities University of Electronic Science and Technology of China, Chengdu, China 2014 2. “Popular Computer Weekly”Scholarship Southwest University, Chongqing, China 2005 3. Honorary title of “Excellent Graduate” Southwest University, Chongqing, China 2005 4. First Class Scholarship of Undergraduate Southwest University, Chongqing, China 2001-2004 5. Honorary title of “Excellent Student” Southwest University, Chongqing, China 2001-2004 6. Commissary in charge of studies Southwest University, Chongqing, China 2001-2003 Publications

1. X. J. Fang, Y. C. Zhang, Y. Wang, et al. Disrupted effective connectivity of the sensorimotor network in amyotrophic lateral sclerosis. J Neurol, 2016:1-7.

2. X. J. Fang, Y. C. Zhang, Y. Zhou, et al. Resting-state coupling between core regions within the central-executive and salience networks contributes to working memory performance. Front. Behav. Neurosci, 2016: 10-27.

3. X. J. Fang, Y. L. Wang, L. Q. Cheng, et al. Prefrontal dysconnectivity links to working memory deficit in first-episode schizophrenia. (Revised)

4. X. J. Fang, Y. Wang, Y. L. Zhang, et al. Dysfunctional default mode network of amyotrophic lateral sclerosis: a spectral dynamical causal modeling study. (In preparation) 5. X. J. Fang, Y. C. Zhang, et al. Regulation of DRD 3 gene on the frontal-striatal loop and working memory. (In preparation)

6. X. J. Fang, H. W. Deng. An agent model design based on distributed policy in ERL. Journal of Southwest University, 2008:134-137.