基本信息
基本信息
梁夏，女，1987年6月出生，博士，哈尔滨工业大学大科学工程空间基础科学研究中心副教授。入选哈尔滨工业大学青年拔尖人才选聘计划。主要的研究兴趣是结合多模态的现代神经影像技术，如磁共振成像，研究认知神经科学中的基础科学问题，以及重大神经/精神疾病的病理机制；我们希望通过从人到动物再到人的研究的相互转化，探讨和理解认知功能的神经机制。以第一作者或通讯作者身份发表了包括PNAS, Journal of Neuroscience, Cerebral Cortex等多篇认知神经科学领域的重要学术论文；为包括NeuroImage, Human Brain Mapping, PLoS ONE, Scientific Reports 等重要国际刊物担任审稿人。




研究生招生

由于认知神经科学是一门交叉学科，我们欢迎具有不同学科背景的学生加入我们的研究队伍中，包括但不限于心理学、生物、计算机、数学等专业。如果你对脑科学有浓厚兴趣，善于独立思考和学习，欢迎直接与我联系。




教育经历

2008.9 – 2013.7 北京师范大学认知神经科学与学习国家重点实验室 认知神经科学，理学博士

2004.9 – 2008.6 北京理工大学 自动化，工学学士




研究经历

2016.5 – 哈尔滨工业大学 大科学工程空间基础科学研究中心 副教授

2013.8 – 2016.3 美国国立药物成瘾研究所神经影像研究中心 博士后研究员

2011.2 – 2013.3 美国国立药物成瘾研究所神经影像研究中心 访问研究员




论文著作

国际期刊论文

1. Hsu LM#, Liang X#, Gu H, Brynildsen JK, Stark JA, Ash JA, Lin QB, Lu HB, Rapp PR, Stein EA, Yang YH, The Constituents and Functional Implications of the Rat Default Mode Network. Proc Natl Acad Sci (IF, 9.809). 2016; 113(31): E4541–E4547.

2. Liang X, Hsu LM, Lu HB, Sumiyoshi A, He Y, Yang YY. The rich club organization in rat functional brain network to balance between communication cost and efficiency. Cerebral Cortex (IF, 8.305). 2016. In Press.

3. Cui Y, Liang X, Gu H. et al. Cerebral perfusion alterations in type 2 diabetes and its relation to insulin resistance and cognitive dysfunction. Brain Imaging and Behavior (IF, 3.667). 2016; doi:10.1007/s11682-016-9583-9.

4. Liang X, He Y, Salmeron BJ, Gu H, Stein EA, Yang YH. Interactions between the salience and default-Mode networks are disrupted in cocaine addiction. J Neurosci (IF, 6.747). 2015; 35(21):8081-90.

5. Liang X, Zou QH, He Y, Yang YH. Topologically reorganized connectivity architecture of default-Mode, executive-Control, and salience networks across working memory task Loads. Cerebral Cortex (IF, 8.305). 2015;doi:10.1093/cercor/bhu316.

6. Liang X, Zou QH, He Y, Yang YH. Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain. Proc Natl Acad Sci (IF, 9.809). 2013;110(5):1929-1934.

7. Liang X, Wang J, Yan C, Shu N, Xu K, et al. Effects of Different Correlation Metrics and Preprocessing

Factors on Small-World Brain Functional Networks: A Resting-State Functional MRI Study. PLoS ONE (IF, 3.534). 2012;7(3):e32766.

8. Cui Y, Jin Z, Chen X, He Y, Liang X and Zheng Y. Abnormal baseline brain activity in drug-na？ve patients with Tourette syndrome: a resting-state fMRI study. Front Hum Neurosci (IF, 3.4). 2013; 7: 913. (共同通讯作者).

9. Wei T, Liang X, He Y, Zang Y, Han Z, Caramazza A, Bi Y. Predicting conceptual processing capacity from spontaneous neuronal activity of the left middle temporal gyrus. J Neurosci (IF, 6.747). 2012;32(2):481-489.

10. Schweitzer JB, Riggins T, Liang X, Gallen C, Kurup PT, Ross T, Black MM, Nair P, Salmeron BJ. Prenatal drug exposure to illicit drugs alters working memory-related brain activity and underlying network properties in adolescence. Neurotoxicology and Teratology (IF, 3.224). 2015;48:69-77.

11. Xia M, Wang Z, Dai Z, Liang X, Song H, Shu N, Li K, He Y. Differentially Disrupted Functional Connectivity in Posteromedial Cortical Subregions in Alzheimer@#%s Disease. Journal of Alzheimer@#%s Disease (IF, 3.612). 2013; 39(3): 527-543.

12. Wang Z, Xia M, Dai Z, Liang X, Song H, He Y, Li K. Differentially disrupted functional connectivity of the subregions of the inferior parietal lobule in Alzheimer’s disease. Brain Struct Funct (IF, 4.567). DOI 10.1007/s00429-013-0681-9.

13. Kang, J., Wang, L., Yan, C., Wang, J., Liang, X., He, Y. Characterizing dynamic functional connectivity in the resting brain using

variable parameter regression and Kalman filtering approaches. Neuroimage (IF, 6.132). 2011;56:1222-1234.

14. Yi LY, Liang X, Liu DM, Sun B, Yang DB, Li QB, Jiang CL, Han Y. Disrupted topological organization of resting-state functional brain network in subcortical vascular mild cognitive impairment. CNS Neuroscience & Therapeutics (IF, 4.019). 2015; 21(10):846–854.

图书专著

1. Sutherland MT, Liang X, Yang YH, Stein EA. Beyond Functional Localization: Advancing the understanding of addiction-related processes by examining brain connectivity. Editors: Wilson SJ. In The Wiley Handbook on the Cognitive Neuroscience of Addiction, Chapter: 20. Wiley Blackwell, 2015, p.472-502