2007.09 – 2011.07  Fudan University, B.S.

2011.09 – 2016.06  University of Chinese Academy of Sciences, Ph.D.

2016.07 – 2019.11  Institute of Biophysics, Chinese Academy of Sciences, Assistant Professor

2019.12 –               Institute of Biophysics, Chinese Academy of Sciences, Senior Engineer

Ultra-high field (≥ 7 Tesla) Magnetic Resonance Imaging (MRI) provides excellent signal-to-noise ratio and tissue contrast. By 7T MRI, medical images and functional images can be non-invasively obtained with sub-millimeter resolution. It opens up new horizons for the investigation of cerebral diseases and cognitive science. Our group develop multi-modality imaging techniques at 7T MRI, including neurovascular imaging and functional imaging, and explore their application values.

1. Young Scientists Fund of the National Natural Science Foundation of China (82001804), Simultaneous multi-slice acquisition and super-resolution reconstruction methods for intracranial atherosclerotic plaques based on 7T ultra-high field magnetic resonance imaging, 2021-2023, principal investigator.

2. Young Scientists Fund of the Natural Science Foundation of Beijing, China (7184226), Developing the high-resolution imaging technology of perforating artery wall based on local excitation at 7T, 2018-2019, principal investigator.

3. National Key Research and Development Program of China (2017YFC1307904), Predictive model and intervention strategy for recurrence and progression of symptomatic extracranial and intracranial aortic stenosis, 2017-2020, key investigator.

4. Funds for International Cooperation and Exchange of the National Natural Science Foundation of China (81961128030), Mechanism study of the blood-brain barrier disruption on CADASIL patients based on multimodal imaging, 2020-2024, key investigator.

5. Key Program of Beijing Natural Science Foundation (7191003), Quantitative analysis and rupture risk prediction model of stroke-related vascular plaque based on deep learning with neural network, 2020-2023, key investigator.

6. Capital’s Funds for Health Improvement and Research (CFH2020-2-5115), Correlation study on the morphology of deep medullary veins and cognitive impairment in cerebral small vessel disease, 2017-2023, key investigator.

7. National Key Research and Development Program of China (2015CB351701), Research on the mechanism of visual cognition and key technologies of advanced brain-computer interface, 2014-2019, participant.

8. General Program of the National Natural Science Foundation of China (31871107), Layer-specific 7T ultra-high field functional magnetic resonance imaging of human visual cortex in during binocular rivalry, 2019-2022, participant.

9. General Program of the National Natural Science Foundation of China (81871350), Research on ultra-high field high spatiotemporal resolution functional magnetic resonance imaging method based on balanced steady-state free precession at 7T, 2019-2022, participant.

10. General Program of the National Natural Science Foundation of China (81870833)，Study of brain network and cognitive function in patients with carotid artery stenosis based on multimodal imaging technologies, 2019-2022, participant.

1. Sun, C. and Wu, Y., Ling, C., Xie, Z., Sun, Y., Xie, Z., Li, Z., Fang, X., Kong, Q., An, J., Wang, B., Zhuo Y., Zhang W., Wang Z., Yuan Y.^# and Zhang, Z.^#, 2021. Reduced Blood Flow Velocity in Lenticulostriate Arteries of Patients with CADASIL Assessed by PC-MRA at 7T. Journal of Neurology, Neurosurgery and Psychiatry, 93(4), pp.451-452. http://dx.doi.org/10.1136/jnnp-2021-326258

2. Kong, Q., Wu, Y., Weng, D., An, J., Zhuo, Y.^# and Zhang, Z.^#, 2021. Optimized Inner-Volume 3D TSE for High-Resolution Vessel Wall Imaging of Intracranial Perforating Arteries at 7T. Frontiers in Neuroscience, 15, p.66. https://doi.org/10.3389/fnins.2021.620172

3. Sun, C. and Wu, Y., Ling, C., Xie, Z., Kong, Q., Fang, X., An, J., Sun, Y., Zhang, W., Yang, Q., Wang, Z., Zhang, Z.^# and Yuan, Y.^#, 2020. Deep Gray Matter Iron Deposition and Its Relationship to Clinical Features in Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy Patients: A 7.0-T Magnetic Resonance Imaging Study. Stroke, 51(6), 1750-1757. https://doi.org/10.1161/STROKEAHA.119.028812

4. Zhang, Z. and Fan, Z., Kong, Q., Xiao, J., Wu, F., An, J., Yang, Q.^#, Li, D. and Zhuo, Y., 2019. Visualization of the lenticulostriate arteries at 3T using black-blood T1-weighted intracranial vessel wall imaging: comparison with 7T TOF-MRA. European radiology, 29(3), pp.1452-1459. https://doi.org/10.1007/s00330-018-5701-y

5. Ling, C. and Zhang, Z., Wu, Y., Fang, X., Kong, Q., Zhang, W., Wang, Z., Yang, Q.^# and Yuan, Y.^#, 2019. Reduced Venous Oxygen Saturation Associates With Increased Dependence of Patients With Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy: A 7.0-T Magnetic Resonance Imaging Study. Stroke, 50(11), pp.3128-3134. https://doi.org/10.1161/STROKEAHA.119.026376

6. Huang, L., Zuo, Z., Bai, J., Zong, R., Zhou, J., Cui, Z., Wang, J, Chai, X., Wang, Z., An, J., Zhuo Y., Boada, F., Yu, X., Ling, Z., Qu, B., Pan, L.^# and Zhang, Z., 2021. Sodium MRI at 7T for Early Response Evaluation of Intracranial Tumors following Stereotactic Radiotherapy Using the CyberKnife. American Journal of Neuroradiology, 43(2), pp.181-187. https://doi.org/10.3174/ajnr.A7404

7. Feng, J., Liu, X., Zhang, Z.^#, Wu, Y., Li, Z., Zhang, Q., Jiang, Y., You, W., Liu, P., Wang, Y., Mossa-Basha, M., Saloner, D., Li, Y^#. and Zhu, C., 2021. Comparison of 7T and 3T vessel wall MRI for the evaluation of intracranial aneurysm wall. European Radiology, pp.1-9. https://doi.org/10.1007/s00330-021-08331-9

8. Wei, N., Zhang, X., An, J., Zhuo, Y. and Zhang, Z.^#, 2021. A processing pipeline for quantifying lenticulostriate artery vascular volume in subcortical nuclei. Frontiers in Neurology, p.1320. https://doi.org/10.3389/fneur.2021.700476

9. Liu, X., Feng, J., Li, Z., Zhang, Z.^#, Zhang, Q., Jiang, Y., Huo, X., Chai, X., Wu, Y., Kong, Q., Liu, P., Ge, H., Jin, H., An, J., Jiang, P., Saloner, D., Li, Y.^# and Zhu, C. 2021. Quantitative analysis of unruptured intracranial aneurysm wall thickness and enhancement using 7T high resolution, black blood magnetic resonance imaging. Journal of NeuroInterventional Surgery. http://doi.org/10.1136/neurintsurg-2021-017688

10. Wang, P., Cai, H., Luo, R., Zhang, Z., Zhang, D. and Zhang, Y.^#, 2021. Measurement of Cortical Atrophy and Its Correlation to Memory Impairment in Patients With Asymptomatic Carotid Artery Stenosis Based on VBM-DARTEL. Frontiers in Aging Neuroscience, p.304. https://doi.org/10.3389/fnagi.2021.620763

11. Sun, K., Cui, J., Xue, R., Jiang, T., Wang, B., Zhang, Z., Zhuo, Y., Zhou, X.J., Liang, S., Yu, X. and Chen, L., 2021. New imaging features of tuberous sclerosis complex: A 7 T MRI study. NMR in Biomedicine, 34(9), p.e4565. https://doi.org/10.1002/nbm.4565

12. Liu, X., Zhang, Z., Zhu, C., Feng, J., Liu, P., Kong, Q., Zhang, X., Zhang, Q., Jin, H., Ge, H., Jiang, Y., Saloner, D. and Li, Y.^#, 2020. Wall enhancement of intracranial saccular and fusiform aneurysms may differ in intensity and extension: a pilot study using 7-T high-resolution black-blood MRI. European Radiology, pp.1-7. https://doi.org/10.1007/s00330-019-06275-9

13. Qian, Y., Zou, J., Zhang, Z., An, J., Zuo, Z., Zhuo, Y., Wang, D.J. and Zhang, P., 2020. Robust functional mapping of layer-selective responses in human lateral geniculate nucleus with high-resolution 7T fMRI. Proceedings of the Royal Society B, 287(1925), p.20200245. https://doi.org/10.1098/rspb.2020.0245

14. Liu, C., Guo, F., Qian, C., Zhang, Z., Sun, K., Wang, D.J., He, S. and Zhang, P., 2020. Layer-dependent multiplicative effects of spatial attention on contrast responses in human early visual cortex. Progress in Neurobiology, p.101897. https://doi.org/10.1016/j.pneurobio.2020.101897

15. Kong, Q. and Zhang, Z.^#, Yang, Q., Fan, Z., Wang, B., An, J. and Zhuo, Y.^#, 2019. 7T TOF-MRA Shows Modulated Orifices of Lenticulostriate Arteries Associated with Atherosclerotic Plaques in Patients with Lacunar Infarcts. European Journal of Radiology, 118, pp.271-276. https://doi.org/10.1016/j.ejrad.2019.07.032

16. Ling, C. and Fang, X., Kong, Q., Sun, Y., Wang, B., Zhuo, Y., An, J., Zhang, W., Wang, Z., Zhang, Z.^# and Yuan, Y.^#, 2019. Lenticulostriate Arteries and Basal Ganglia Changes in Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy, A High-Field MRI study. Frontiers in Neurology, 10, p.870. https://doi.org/10.3389/fneur.2019.00870

17. Wei, N., Zhang, Z.^#, An, J., Weng, D. and Zhuo, Y., 2018. Improved visualization of superficial temporal artery using segmented time-of-flight MR angiography with venous suppression at 7T. Neuroradiology, 60(11), pp.1243-1246. https://doi.org/10.1007/s00234-018-2099-9

18. Cong, F., Wang, J.W., Wang, B., Yang, Z., An, J., Zuo, Z., Zhang, Z., Zhang, Y.Q.^# and Zhuo, Y.^#, 2018. Direct localisation of the human pedunculopontine nucleus using MRI: a coordinate and fibre-tracking study. European radiology, 28(9), pp.3882-3892. https://doi.org/10.1007/s00330-017-5299-5

19. Zhang, Z., Deng, X., Weng, D., An, J., Zuo, Z., Wang, B., Wei, N., Zhao, J. and Xue, R.^#, 2015. Segmented TOF at 7 T MRI: technique and clinical applications. Magnetic resonance imaging, 33(9), pp.1043-1050. https://doi.org/10.1016/j.mri.2015.07.002

20. Deng, X., Zhang, Z., Zhang, Y., Zhang, D., Wang, R., Ye, X., Xu, L., Wang, B., Wang, K. and Zhao, J.^#, 2016. Comparison of 7.0-and 3.0-T MRI and MRA in ischemic-type moyamoya disease: preliminary experience. Journal of neurosurgery, 124(6), pp.1716-1725. https://doi.org/10.3171/2015.5.JNS15767

21. Fang, X.J., Yu, M., Wu, Y., Zhang, Z.H., Wang, W.W., Wang, Z.X. and Yuan, Y.^#, 2017. Study of enhanced depth imaging optical coherence tomography in cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy. Chinese medical journal, 130(9), p.1042. https://doi.org/10.4103/0366-6999.204935

22. Ma, Y.J., Liu, W., Zhao, X., Tang, W., Zhang, Z., Tang, X., Fan, Y., Li, H. and Gao, J.H.^#, 2015. Improved adaptive reconstruction of multichannel MR images. Medical physics, 42(2), pp.637-644. https://doi.org/10.1118/1.4905163

(From Zihao Zhang, April 2, 2022)