本方向主要围绕大脑语言等高级认知功能的保护和重建，通过唤醒手术下的颅内高密度皮层脑电（ECoG）、人脑单神经元记录、术中直接电刺激、功能磁共振等技术定位患者大脑功能区的同时，探索语言等高级认知功能的神经编码机制，进而保护脑肿瘤、癫痫等患者语言等高级认知功能；此外，团队同时致力于植入式脑机接口研究和临床验证工作，最终帮助各类脑疾病（ALS、脑中风等）患者重建其言语运动等功能。

1. Zhou, Y.#, Yan, P.#, Zhao, Z.#, Zhang, J., Lu, J.* (2025). Increased Risk of Permanent Speech Production Deficits Following Resection of the Dominant Ventral Precentral Gyrus Compared With Broca’s Area, Operative Neurosurgery, 00:1-11.
2. Qian, Y.#, Liu, C.#, Yu, P., Ran, X., Li, S., Yang, Q., Liu, Y., Xia, L., Wang, Y., Qi, J., Zhou, E., Lu, J., Li, Y., Tao, T.H., Zhou, Z., Wu, J. (2025). Real-time decoding of full-spectrum Chinese using brain-computer interface, Science Advances, 11, eadz9968
3. Zhang, D., Wang, Z., Qian, Y., Zhao, Z., Liu, Y., Lu, J., Li, Y. (2025). Protocol to perform offline ECoG brain-to-text decoding for natural tonal sentences, STAR Protocols, Volume 6, Issue 1, 103650
4. Zhang, D.#, Wang, Z.#, Qian, Y.#, Zhao, Z., Liu, Y., Hao, X., Li, W., Lu, S., Zhu, H., Chen, L., Xu, K., Li, Y., Lu, J. (2024). A brain-to-text framework for decoding natural tonal sentences, Cell Reports, Volume 43, Issue 11.
5. Lu, J.#, Li, Y.#, Zhao, Z.#, Liu, Y., Zhu, Y., Mao, Y., Wu, J. & Chang, E. F. *(2023). Neural control of lexical tone production in human laryngeal motor cortex. Nature Communications, 14(1), 6917.
6. Zhao, Z., Lu, J.*, & Wu, J. (2023). Fiber Tractography-Based Cortical Language Mapping for Speech Output. World Neurosurgery, 175, 151-152.
7. Li, Y., Anumanchipalli, G. K., Mohamed, A., Chen, P., Carney, L. H., Lu, J., Wu, J. & Chang, E. F. *(2023). Dissecting neural computations in the human auditory pathway using deep neural networks for speech. Nature Neuroscience, 26(12), 2213-2225.
8. Liu, Y.#, Zhao, Z.#, Xu, M.#, Yu, H., Zhu, Y., Zhang, J., Bu, L., Zhang, X., Lu, J., Li, Y., Ming, D., & Wu, J.* (2023). Decoding and synthesizing tonal language speech from brain activity. Science Advances, 9(23), eadh0478.
9. Zhao, Z.#, Huang, C.#, Yuan, S.#, Zhang, J., Lin, C., Lu, J.*, Duffau, H., & Wu, J. (2023). Convergence of the arcuate fasciculus and third branch of the superior longitudinal fasciculus with direct cortical stimulation-induced speech arrest area in the anterior ventral precentral gyrus. Journal of Neurosurgery, 1(aop), 1-12.
10. Zhu, Y.#, Xu, M.#, Lu, J.#, Hu, J.#, Kwok, V. P. Y., Zhou, Y., Yuan, D., Wu, B., Zhang, J., Wu, J., & Tan, L. H. (2022). Distinct spatiotemporal patterns of syntactic and semantic processing in human inferior frontal gyrus. Nature human behaviour, 6(8), 1104–1111.
11. Zhou, Y.#, Zhao, Z.#, Zhang, J., Hameed, N. U. F., Zhu, F., Feng, R., Zhang, X., Lu, J.*, & Wu, J. (2021). Electrical stimulation-induced speech-related negative motor responses in the lateral frontal cortex. Journal of Neurosurgery, 137(2), 496-504.
12. Li, Y.#, Tang, C.#, Lu, J.#, Wu, J., & Chang, E. F. (2021). Human cortical encoding of pitch in tonal and non-tonal languages. Nature Communications, 12(1), 1161.
13. Hameed, N. U. F.#, Zhao, Z.#, Zhang, J., Bu, L., Zhou, Y., Jin, L., Bai, H., Li, W., Tang, J., Lu, J.*, Wu, J., & Mao, Y. (2021).A novel intraoperative brain mapping integrated task-presentation platform. Operative Neurosurgery, 20(5), 477-483.
14. Lu, J.#, Zhao, Z.#, Zhang, J., Wu, B., Zhu, Y., Chang, E. F., Wu, J.*, Duffau, H., & Berger, M. S. (2021). Functional maps of direct electrical stimulation-induced speech arrest and anomia: a multicentre retrospective study. Brain, 144(8), 2541-2553.
15. Zhao, Z.#, Liu, Y.#, Zhang, J., Lu, J.*, & Wu, J. (2021). Where is the speech production area? Evidence from direct cortical electrical stimulation mapping. Brain, 144(7), e61.
16. Bu, L.#, Lu, J.*, Zhang, J., & Wu, J. (2021). Intraoperative cognitive mapping tasks for direct electrical stimulation in clinical and neuroscientific contexts. Frontiers in human neuroscience, 15, 612891.
17. Zhang, N.#, Yuan, B.#, Yan, J.#, Cheng, J., Lu, J.*, & Wu, J. (2021). Multivariate machine learning‐based language mapping in glioma patients based on lesion topography. Brain Imaging and Behavior, 15(5), 2552-2562.
18. Zhang, N.#, Xia, M.#, Qiu, T., Wang, X., Lin, C., Guo, Q., Lu, J., Wu, Q., Zhuang, D., Yu, Z., Gong, F., Hameed, N. U. F., He, Y., Wu, J., & Zhou, L. (2018). Reorganization of cerebro-cerebellar circuit in patients with left hemispheric gliomas involving language network: A combined structural and resting-state functional MRI study. Human brain mapping, 39(12), 4802–4819.
19. Ghinda, D.#, Zhang, N.#, Lu, J., Yao, C., Yuan, S., & Wu, J.* (2016). Contribution of combined intraoperative electrophysiological investigation with 3-T intraoperative MRI for awake cerebral glioma surgery: comprehensive review of the clinical implications and radiological outcomes. Neurosurgical Focus, 40(3), E14.
20. Wu, J.#, Lu, J.#, Zhang, H., Zhang, J., Yao, C., Zhuang, D., Qiu, T., Guo, Q., Hu, X., Mao, Y., & Zhou, L.* (2015). Direct evidence from intraoperative electrocortical stimulation indicates shared and distinct speech production center between Chinese and English languages. Human brain mapping, 36(12), 4972–4985.
21. Wu, J., Lu, J., Zhang, H., Zhang, J., Mao, Y., & Zhou, L.* (2015). Probabilistic map of language regions: challenge and implication. Brain, 138(3), e337.
22. Gong, X.#, Yao, C.#, Yuan, S.#, Zhuang, D., Qiu, T., Lu, J., Zhang, J., Song, Y., Zhu, W., Mao, Y., Wu, J.* & Zhou, L.* (2015). 3.0 T iMRI-guided resection of eloquent high-grade gliomas: preliminary results of a randomised controlled trial. The Lancet, 386, S11.
23. Lu, J., Wu, J.*, Yao, C., Zhuang, D., Qiu, T., Hu, X., Zhang, J., Gong, X., Liang, W., Mao, Y., & Zhou, L. (2013). Awake language mapping and 3-Tesla intraoperative MRI-guided volumetric resection for gliomas in language areas. Journal of clinical neuroscience, 20(9), 1280–1287.
24. Lu, J.#, Zhang, H.#, Wu, J., Yao, C., Zhuang, D., Qiu, T., Jia, W., Mao, Y., & Zhou, L.* (2012).“Awake” intraoperative functional MRI (ai-fMRI) for mapping the eloquent cortex: Is it possible in awake craniotomy?. NeuroImage: Clinical, 2, 132-142.

本研究方向主要围绕脑胶质瘤诊疗困境，利用LNA-ARMS PCR、甲基化测序、低深度测序等技术，实现脑胶质瘤术中整合诊断、术后精准分型；利用创新手术方式、溶瘤病毒、靶向药物等，开展针对脑胶质瘤手术及术后辅助治疗的临床试验，实现脑胶质瘤个体化精准治疗，切实改善患者预后。

本方向主要依托复旦大学附属华山医院中枢神经系统疾病生物样本库、国家神经疾病医学中心脑胶质瘤MDT联盟成员单位等多中心数据，通过人工智能深度学习与医学图像数字化技术，对脑肿瘤患者的临床资料、影像、病理图像、分子病理信息、生存期等重要因素进行分析建模，研发包括垂类大模型在内的多模态医学人工智能方法，实现医工结合。进而达到辅助诊断、预后预测、治疗方案推荐等目的。实现大规模图像数据库、远程云诊断以及智能诊断等划时代应用，推动组织脑肿瘤精准诊疗由“人工化、主观化”向“自动化、标准化”转变。

1. 病理切片图像处理方法、电子设备及储存介质，专利号：CN113496484B

2. 一种神经病理的AI 辅助诊断设备，授权号：CN119880804B

3. 一种脑胶质瘤中CSF1R预测方法、存储介质和装置，授权号：CN120340839B

4. 仿真图像生成方法、装置、系统及存储介质，申请号：CN202510997070.7

5. 中华人民共和国医疗器械注册证：数字病理图像处理软件-uAI-Pathology 注册证编号：沪械注准20212210574

1. 基于深度学习的脑胶质瘤病理诊断系统的前瞻性临床研究, 2023.07-202026.06，上海市卫生健康委员会

2. 脑肿瘤术中冰冻病理诊断级数字石蜡仿真生成模型开发与临床验证研究，2026.01-2028.12，国家自然科学基金

3. 基于深度学习的人工智能数字化脑肿瘤病理辅助诊断系统的样机研发, 2022.04-2025.03, 上海市科学技术委员会

4. 基于LNA-ARMS-PCR及人工智能实现脑胶质瘤术中整合诊断的临床转化研究, 2023.12- 2026.01

5. 上海脑库技术体系的初步建设，2016.12-2019.11，上海市科学技术委员会

6. 华东地区人脑库协作网络平台建设，2021.12-2026.11，科技部

7. 脑肿瘤数据库及共享平台建设与开发，2020.12-2022.09，上海申康医院发展中心

1. 手术视频智能快剪与质控 – 合作单位：联影

2. 医患沟通共创解决方案 – 合作单位：联影

3. 术中光学成像动物实验 – 合作单位：卡尔蔡司

1. Jin L#, Shi F#, Chun QP, Chen H, Ma YX, Hameed NUF, Wu S, Mei CM, Lu JF, Zhang J, Aibaidula A, Shen DG*, Wu JS*. Artificial Intelligence Neuropathologist for Glioma Classification using Deep Learning on Hematoxylin and Eosin Stained Slide images and Molecular Markers. Neuro-Oncology, 2021, 23(1): 44-52.
2. Liu X#, Sun T#, Chen H#, Wu S, Cheng H, Liu X, Lai Q, Wang K, Chen L, Lu J, Zhang J, Zou Y, Chen Y, Liu Y*, Shi F*, Jin L*, Shen D, Wu J. A Multicenter Study on Intraoperative Glioma Grading via Deep Learning on Cryosection Pathology. Mod Pathol. 2025 Jul;38(7):100749. doi: 10.1016/j.modpat.2025.100749.
3. Tang ZY#, Xu YY#, Jin L#, Aibaidula A, Lu JF, Jiao ZC, Wu JS*, Zhang H* and Shen DG*. Deep Learning on Imaging Phenotype and Genotype toward Overall Survival Time Prediction for Glioblastoma Patients. IEEE Transactions on Medical Imaging, 2020, 39(6): 2100-2109
4. Chen L#, Zhang H#, Lu JF#, Thung K, Aibaidula A, Liu LY, Chen SC, Jin L, Wu JS*, Wang Q*, Zhou LF*, Shen DG*. Multi-Label Nonlinear Matrix Completion With Transductive Multi-Task Feature Selection for Joint MGMT and IDH1 Status Prediction of Patient With High-Grade Gliomas. IEEE Transactions on Medical Imaging, 2018, 37(8): 1775-1787.
5. Ma YX#, Shi F#, Sun TP#, Chen H, Cheng HX, Liu XJ, Wu S, Lu JF, Zou YP, Zhang J, Jin L*, Shen DG*, Wu JS*. Histopathological auxiliary system for brain tumour (HAS-Bt) based on weakly supervised learning using a WHO CNS5-style pipeline. J Neuooncol, 2023, 163(1):71-82.
6. Zhang N#, Yuan B#, Yan J#, Cheng J, Lu J*, Wu J*. Multivariate machine learning-based language mapping in glioma patients based on lesion topography. Brain Imaging Behav. 2021 Oct;15(5):2552-2562.
7. Jin L#, Sun TY#, Liu X#, Cao ZH, Liu Y, Chen H, Ma YX, Zhang J, Zou YP, Liu YC, Shi F*, Shen DG*, Wu JS. A multi-center performance assessment for automated histopathological classification and grading of glioma using whole slide images. iScience, 2023, 29;26(11):108041
8. 刘熙#，金雷#，吴劲松*。神经外科手术机器人研究进展。中华外科杂志，2023 年11 月第 61 卷第 11 期。

本团队从同一猴脑的离体MRI及全脑组织切片髓鞘染色（LFB）数据集中，间隔800μm取一层，构建了集合组织切片髓鞘染色（LFB）、组织切片髓鞘染色-伪彩化、断层标本图、高分辨率磁共振结构相及离体脑dMRI断层纤维束成像和纤维方向分布图（限制球面反卷积-CSD）六大模态的断层对照图谱。多模态交叉对比印证，对认识以及应用相关猴脑解剖知识具有重要价值和意义。

此外，本团队利用最新的三维摄像技术，将包括猕猴大脑以及人脑、猪脑、羊脑等共十种动物的脑标本最真实的展现出来，并以此构建“动物脑乐园”科普网站，希望可以激发学生等普通大众对神经科学的兴趣，将全民科普事业推向一个新的高度！

面向中晚期帕金森病治疗场景，研发植入式神经界面和自适应闭环调控系统，强调临床前验证与注册临床的连续推进，目标是以更温和的刺激实现稳定、可个体化干预，并降低副反应和护理负担。依托国家重点研发计划颠覆性技术创新重点专项，结合上海市脑机接口临床试验与转化重点实验室“四大平台”，系统加工与离体验证平台、大动物在体验证平台、临床试验平台、脑电数据共享平台，为核心器件评估，系统集成，注册临床试验提供一体化支撑，重点推进超柔超薄电极平台与多模反馈一体化植入系统，形成可规模化制造与质量控制的技术链，加速产品落地与产业化，并为后续适应证拓展提供可复制的验证体系。

Xu, M., Z. Zhu, H. Ma, G. Zhou, I. Artem, Z. Chen, W.-M. Tsang, J. Wu, C.T. Li, and X. Wei. Extreme manufacturing of minimally invasive intracortical neural electrodes. International Journal of Extreme Manufacturing, 2025, 8(2): 022009. IF:21.3.

springer购买链接：https://link.springer.com/book/9789819636709

上海市科学技术出版社购买链接： http://www.sstp.cn/hotbook/4304.html

中文版购买链接：https://link.springer.com/book/9789819636709

面向脑疾病精准手术与神经调控等临床需求，开展脑白质纤维束与深部核团的显微解剖学研究，系统刻画关键深部核团及其周围白质纤维束的空间组织、变异特征与功能相关解剖标志，重点解决“靶点边界不清、纤维束易混淆、个体差异难量化、入路规划缺少解剖依据”等瓶颈问题。研究强调从基础解剖证据到临床路径规划的连续推进，目标是为手术入路设计、靶点选择、术中定位与并发症规避提供可解释及可验证的解剖学支撑，提升精准干预的安全性与一致性。 依托相关平台资源（系统加工与离体验证/成像分析平台、动物与组织学实验平台、临床协作与数据平台等），为颅脑解剖图谱构建、方法学标准制定、跨模态验证与临床转化应用提供一体化支撑，重点推进：①脑白质纤维束及深部核团剥离技术在正常成人颅脑标本上的标准化适配与质量控制；②深部核团及毗邻纤维束的精细分区标注与可视化表达；③与术前影像（DTI）和术中电生理/刺激反应的对照验证，形成可用于导航与规划的解剖参照。 最终形成可复现、可推广的颅脑显微解剖技术规范与高质量图谱资源，建立面向不同适应证的“靶点—纤维束—入路”知识库与应用流程，为精准神经外科与神经调控提供可复制的验证体系，并为后续多疾病环路机制研究与临床策略优化提供基础数据与方法学平台。并在未来，为脑机接口相关深部靶点的探寻提供重要解剖学依据。

大脑底部白质纤维束及核团的3D解剖学研究（左图为3D，需佩戴3D红蓝眼镜观看；右图为2D）。

大脑内侧面白质纤维束及核团的3D解剖学研究（右图为3D，需佩戴3D红蓝眼镜观看；左图为2D）。

大脑半球血管及白质纤维束解剖学研究

我们首次在文献记载中，将豆纹静脉灌注出来。（核心区内的红色为豆纹动脉，蓝色为豆纹静脉）。

代表性成果：

（1）Li C, Di G, Li Q, Sun L, Wang W, Wang Y, Jiang X, Wu J. Microsurgical anatomy of the fiber tracts and vascular structures lateral to the internal capsule. J Neurosurg. 2025;143(4):1068-1076. Published 2025 Jun 6.

（2）Li C, Di G, Xiong Z, Sun L, Li Q, Li H, Jiang X, Wu J. Three-dimensional microsurgical anatomy of the basal aspect of the cerebrum: a fiber dissection study. J Neurosurg. Published online October 10, 2025.

（3） 李陈，狄广福，王其福，等.外囊以上层面白质纤维束结构的显微解剖学研究 [J].中华神经外科杂志，2023,39(7):705-709.

（4） 李陈，狄广福，李强，等.弓状束及上纵束的显微解剖学与功能磁共振研究[J].中华外科杂志，2023,61(11):1018-1023.