Dr. Shao-Wei Xue

Email: xuedrm@126.com; xuesw@hznu.edu.cn

Research interests: Mapping brain abnormalities in MDD and ADHD with machine learning and fMRI

Techniques that maybe used: AI, fMRI, TMS, Matlab, Python

Group members:

Master Student: Yunkai Sun, Lei Zhao, Zhihui Lan

Work Experience:

2013.03-present Teacher at the Center for Cognition and Brain Disorders of Hangzhou Normal University

Funding:

1. The Natural Science Foundation of Zhejiang Province(Grant No. LY17H180007). Funding Title: Abnormal pattern of hypothalamic activity in MDD patients.Principle Investigator.

2. The Hangzhou Science and Technology Commission Foundation (Grant No. 20170533B06). Funding Title: Application of brain intelligence technology in adaptability development education. Principle Investigator.

3. Cultivation project of the province-leveled preponderant characteristic discipline in the college of education of Hangzhou Normal University (18JYXK036). Funding Title: Application of artificial intelligence technology in psychological research. Principle Investigator.

4. The Scientific Research Start‐up Foundation of Hangzhou Normal University (PF15002004049). Principle Investigator.

5. The Scientific Research Foundation of Zhejiang Education (Y201431735). Principle Investigator.

Publications:

15. Wang DL, Xue SW*, Tan ZL, et al. Altered hypothalamic functional connectivity patterns in major depressive disorder. NeuroReport, 2019

14. Xue SW, Wang DL, Tan ZL, et al. Disrupted brain entropy and functional connectivity patterns of thalamic subregions in major depressive disorder. Neuropsychiatric Disease and Treatment, 2019

13. Xue SW, Yu Q, Guo Y, Song D, Wang Z. Resting-state brain entropy in schizophrenia. Comprehensive Psychiatry, 2019, 89:16-21

12. Lee TW, Xue SW. Does emotion regulation engage the same neural circuit as working memory? A meta-analytical comparison between cognitive reappraisal of negative emotion and 2-back working memory task. PLOS ONE, 2018, 13(9): e0203753

11. Lee TW#, Xue SW#. Functional connectivity maps based on hippocampal and thalamic dynamics may account for the default-mode network. European Journal of Neuroscience, 2018, 47(5): 388–398

10. Xue SW. Lee TW, Guo Y. Spontaneous activity in medial orbitofrontal cortex correlates with trait anxiety in healthy male adults. Journal of Zhejiang University SCIENCE B, 2018, 19(8): 643-653

9. Xue SW, Guo Y. Increased resting-state brain entropy in Alzheimer's disease, NeuroReport, 2018, 29(4):286-290

8. Lee TW, Xue SW. Revisiting the functional and structural connectivity of large-scale cortical networks. Brain Connectivity, 2018, 8(3):129-138

7. Xue SW, Guo Y, Peng W, Zhang J, Chang D, Zang YF, Wang Ze. Increased low-frequency resting state brain activity by high-frequency repetitive TMS on the left dorsolateral prefrontal cortex. Frontiers in Psychology, 2017, 8:02266

6. Lee TW, Xue SW. Application of an analysis-synthesis framework to explore the pathogenic locus of bipolar disorder. International Journal of Psychology Research, 2019, 12(3):121-175

5. Lee TW,Xue SW. Extended cortico-limbic dysregulation model of major depressive disorder: A demonstration of the application of an analysis-synthesis framework to explore psychopathology. International Journal of Psychology Research, 2018, 11(3-4):247-297

4. Lee TW, Xue SW.Linking graph features of anatomical architecture to regional brain activity: a multi-modal MRI study. Neuroscience Letters, 2017，651:123-127

3. Lee TW, Xue SW, Examination of the validity of the atlas-informed approach to functional parcellation: a resting functional MRI study. NeuroReport, 2017, 28(11):649-653

2. Xue SW, Li D, Weng XC, Northoff G, Li DW, Different neural manifestations of two slow frequency bands in resting functional magnetic resonance imaging: a systemic survey at regional, interregional, and network levels. Brain Connectivity. 2014, 4(4):242-55

1. Xue SW, Weng Xuchu, He Sheng, Li DW. Similarity representation of pattern-information fMRI. Chinese Science Bulletin, 2013, 58(11):1236-1242

Reviewer of several Journals:

Social Cognitive and Affective Neuroscience (SCAN), Neuropsychiatric Disease and Treatment (NDT), Medical & Biological Engineering & Computing (MBEC)