精神疾病是一类高遗传、高异质性，病因不明且难治愈的重大脑疾病，目前临床上尚缺乏稳定有效的诊断和治疗生物标记，被Science杂志列为125个最具挑战性的科学问题之一。该方向是“健康中国2030”规划纲要的重要组成部分，也是AI for Science的重要子方向之一。团队长期面向抑郁症、精神分裂症等重大精神疾病精准诊疗的生物标志物问题，专注于以脑网络组图谱为桥梁，（1）聚焦精准诊断：应用人工智能技术融合脑影像、多组学、认知和行为等大样本多尺度数据，挖掘可重复性的脑影像诊疗标志物及其背后的可能生物机制，为深入解析脑正常和疾病状态下的认知和行为差异提供重要证据；（2）聚焦物理治疗：以多模态脑影像和AI技术为引导，建立数字孪生脑模型，探究不同脑疾病的可靠神经调控靶点，助力临床开展个性化、高响应的物理治疗。

欢迎对人工智能、脑疾病、神经调控等交叉学科研究有浓厚兴趣的同学报考硕士研究生。

081104-模式识别与智能系统

人工智能辅助脑疾病精准诊疗

2022-04--中国科学院自动化研究所   副研究员
2020-05--2022-03   中国科学院自动化研究所   助理研究员/三元博士后
2017-09--2018-09   美国新墨西哥大学   访问学者
2015-09--2020-01   中国科学院大学   博士
2012-09--2015-03   北京航空航天大学   硕士
2008-09--2012-06   湖南科技大学   本科

2025-01~现在，中国科学院自动化研究所脑网络组与脑机接口重点实验室，副研究员、副主任

2022-04~现在, 中国科学院自动化研究所, 副研究员
2020-05~2022-03,中国科学院自动化研究所, 助理研究员/三元博士后

2025-09-18-今,智能系统学报, 编委
2025-07-22-今,Neuroelectronics, 青年编委
2025-01-01-今,中国人工智能学会脑科学与人工智能专委会, 秘书长
2022-12-21-今,中国图象图形学学会脑图谱专委会, 委员

入选中国科学院青年促进会会员，2023

入选博士后创新人才支持计划，2020

入选中国科学院特别研究助理资助计划，2020

入选中科院脑科学与智能技术卓越创新中心青年人才激励项目，2020

获国际核磁共振学会，教育奖学金，2019

获研究生国家奖学金，2019

获国际人脑图谱学会年会，优秀摘要奖，oral，2018

入选国家留学基金委公派访问学者计划，2017

在包括Trends in Cognitive Sciences, eBiomedicine, British journal of psychiatry, Nature Communications, Nature Mental Health等业内顶级期刊发表SCI/EI论文38篇，其中第一或通讯作者（含共同）17篇（JCR Q1区期刊论文12篇），Google Scholar 引用次数935次。全部论文成果如下：

第一或通讯作者论文（#表示共同第一作者，*表示通讯作者，按照时间顺序）:

[1]  Na Luo, Zhengyi Yang, Ming Song, Shiqi Di, Congying Chu, Weiyang Shi, Weihua Yue, Yuyanan Zhang, Hao Yan, Xiao Zhang, Dai Zhang, Jing Sui, Vince Calhoun, Tianzi Jiang. Measuring the impacts of urbanicity and different exposome factors on human brain through exposure network mapping. Neuroscience Bulletin. 2026. Accept. (JCR Q1，IF=5.8)

[2] Yanyan Tang, Zhongyuan Tang, Ying Zhou, Yi Luo, Xinyu Wen, Zhengyi Yang, Tianzi Jiang, and Na Luo*. "A systematic review of resting-state functional-MRI studies in the diagnosis, comorbidity and treatment of postpartum depression." Journal of Affective Disorders (2025). (*通讯作者，JCR Q1)

[3] Na Luo, Weiyang Shi, Zhengyi Yang, Ming Song, and Tianzi Jiang. "Multimodal fusion of brain imaging data: Methods and applications." Machine Intelligence Research 21, no. 1 (2024): 136-152.（JCR Q1，IF=8.7）

[4] Na Luo, Jiaqi Zhang, and Tianzi Jiang. "How does brain geometry influence human brain function?." Trends in Cognitive Sciences 27, no. 10 (2023): 886-887.（中科院一区，IF=17.8）

[5] Na Luo, Xiangsheng Luo, Suli Zheng, Dongren Yao, Min Zhao, Yue Cui, Yu Zhu, Vince D. Calhoun, Li Sun, and Jing Sui. "Aberrant brain dynamics and spectral power in children with ADHD and its subtypes." European Child & Adolescent Psychiatry 32, no. 11 (2023): 2223-2234. （JCR Q1，儿科顶刊）

[6]  Na Luo, Jing Sui, Anees Abrol, Jiayu Chen, Jessica A. Turner, Eswar Damaraju, Zening Fu et al. "Structural brain architectures match intrinsic functional networks and vary across domains: a study from 15 000+ individuals." Cerebral Cortex 30, no. 10 (2020): 5460-5470.（老牌口碑期刊）

[7] Na Luo, Jing Sui, Anees Abrol, Dongdong Lin, Jiayu Chen, Victor M. Vergara, Zening Fu et al. "Age‐related structural and functional variations in 5,967 individuals across the adult lifespan." Human brain mapping 41, no. 7 (2020): 1725-1737. （JCR Q1）

[8] Na Luo, Lin Tian, Vince D. Calhoun, Jiayu Chen, Dongdong Lin, Victor M. Vergara, Shuquan Rao et al. "Brain function, structure and genomic data are linked but show different sensitivity to duration of illness and disease stage in schizophrenia." NeuroImage: clinical 23 (2019): 101887. （JCR Q2）

[9] Na Luo, Jing Sui, Jiayu Chen, Fuquan Zhang, Lin Tian, Dongdong Lin, Ming Song et al. "A schizophrenia-related genetic-brain-cognition pathway revealed in a large Chinese population." EBioMedicine 37 (2018): 471-482.（JCR Q1，中科院一区，IF=10.8）

[10] Na Luo, Xiangsheng Luo, Dongren Yao, Vince D. Calhoun, Li Sun, and Jing Sui. "Investigating ADHD subtypes in children using temporal dynamics of the electroencephalogram (EEG) microstates." In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 4358-4361. IEEE, 2021.

[11] Na Luo, Lin Tian, Vince D. Calhoun, Jiayu Chen, Dongdong Lin, Victor M. Vergara, Shuquan Rao, Fuquan Zhang, and Jing Sui. "Exploring different impaired speed of genetic-related brain function and structures in schizophrenic progress using multimodal analysis." In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4126-4129. IEEE, 2018.

[12] 罗娜, 宋明, 杨正宜, 蒋田仔. "跨模态脑图谱数据融合研究进展. " 中国图像图形学报 27, no.6(2022): 2036-2056

[13] Shiqi Di#, Na Luo#, Weiyang Shi, et al. "Physical Activity and Depressive Mood Shared the Structural Connectivity between Motor and Reward Network." Neuroscience Bulletin (2025). Accept. (#共同一作，JCR Q1，IF=5.8)

[14] Aichen Feng#, Na Luo#, Wentao Zhao, Vince D. Calhoun, Rongtao Jiang, Dongmei Zhi, Weiyang Shi et al. "Multimodal brain deficits shared in early‐onset and adult‐onset schizophrenia predict positive symptoms regardless of illness stage." Human Brain Mapping 43, no. 11 (2022): 3486-3497. (#共同一作，JCR Q1)

[15] Weiqiu Cheng#, Na Luo#, Yuyanan Zhang, Xiao Zhang, Haoyang Tan, Dai Zhang, Jing Sui, Weihua Yue, and Hao Yan. "DNA methylation and resting brain function mediate the association between childhood urbanicity and better speed of processing." Cerebral cortex 31, no. 10 (2021): 4709-4718. (#共同一作，老牌口碑期刊)

[16] Shuquan Rao#, Na Luo#, Jing Sui, Qi Xu, and Fuquan Zhang. "Effect of the SIRT1 gene on regional cortical grey matter density in the Han Chinese population." The British Journal of Psychiatry 216, no. 5 (2020): 254-258. (#共同一作，JCR Q1，中科院一区，IF=7.6)

[17] Shiqi Di#, Na Luo#, Shengfeng Liu, Tianzi Jiang. " Individual Brain Structure Deviations Predict Depressive Symptom Responses of Running Intervention." 14^th International Conference on Bioinformatics and Biomedical Science. 2025. (#共同一作)

其他共同作者论文:

[18] Qianhui Liu, Hui Xiong, Weiyang Shi, Shiqi Di, Xinle Cheng, Nianyi Liu, Na Luo, Yu Zhang, and Tianzi Jiang. "Energy inefficiency underpinning brain state dysregulation in individuals with major depressive disorder." Nature Mental Health. (2026)

[19] Jiaqi Zhang, Shuting Han, Yongcong Shen, Xiaojuan Wu, Yunshu Zhao, Zijia Wu, Na Luo, Zhengyi Yang, Deying Li, Ming Song, Peng Wu, Duo-Duo Tao, Jisheng Liu, Yonggang Li, Tianzi Jiang. "Digital twin brain reveals state-specific stimulation targets for abnormal brain dynamics in tinnitus." BMC medicine (2026).

[20] Zongchang Du, Congying Chu, Weiyang Shi, Na Luo, Yuheng Lu, Haiyan Wang, Bokai Zhao et al. "CLRIA: Connectome-constrained ligand-receptor interaction analysis for understanding brain network communication ". Nature Communications (2025).

[21] Zhengyi Yang, Na Luo, Lingzhong Fan, and Tianzi Jiang. "Neuromodulation robot for precision TMS." Aperture Neuro 5, no. Suppl 1 (2025).

[22] Jiaqi Zhang, Yanyao Du, Jin Li, Wenhan Yang, Dan Cao, Na Luo, Zhengyi Yang et al. "Stage-dependent Neural Mechanisms in Human Methamphetamine Abstinence: Insights from the Digital Twin Brain Model." Biological Psychiatry (2025).

[23] Jingjing Gao, Heping Tang, Zhengning Wang, Yanling Li, Na Luo, Ming Song, Sangma Xie et al. "Graph Neural Networks and Multimodal DTI Features for Schizophrenia Classification: Insights from Brain Network Analysis and Gene Expression." Neuroscience Bulletin (2025): 1-18.

[24] Aichen Feng, Dongmei Zhi, Zening Fu, Shan Yu, Na Luo, Vince Calhoun, and Jing Sui. "Genetic Etiology Link to Brain Function Underlying ADHD Symptoms and its Interaction with Sleep Disturbance: An ABCD Study." Neuroscience Bulletin (2025): 1-13.

[25] Jingjing Gao, Maomin Qian, Zhengning Wang, Yanling Li, Na Luo, Sangma Xie, Weiyang Shi et al. "Exploring schizophrenia classification through multimodal MRI and deep graph neural networks: Unveiling brain region-specific weight discrepancies and their association with cell-type specific transcriptomic features." Schizophrenia Bulletin 51, no. 1 (2025): 217-235.

[26] Zongchang Du, Weiyang Shi, Na Luo, Congying Chu, Zhengyi Yang, Tianzi Jiang. " Regional heterogeneous policy-informed communication patterns contribute to flexible transitions between cognitive topographies." 14th International Conference on Bioinformatics and Biomedical Science. 2025.

[27] Yuheng Lu, Yue Cui, Long Cao, Zhenwei Dong, Luqi Cheng, Wen Wu, Changshuo Wang ,…, Na Luo, et al. "Macaque Brainnetome Atlas: A multifaceted brain map with parcellation, connection, and histology." Science Bulletin 69, no. 14 (2024): 2241-2259.

[28] Yue Cui, Haibin Huang, Jialu Liu, Mingyang Zhao, Chengyi Li, Xinyong Han, Na Luo et al. "FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA." Computers in Biology and Medicine 170 (2024): 107996.

[29] 李雯，樊令仲，宋明，张瑜，罗娜，程禄祺，蒋田仔. "儿童青少年大脑发育及脑图谱研究综述." 中国图象图形学学报. 2024.

[30] Wen Li, Lingzhong Fan, Weiyang Shi, Yuheng Lu, Jin Li, Na Luo, Haiyan Wang et al. "Brainnetome atlas of preadolescent children based on anatomical connectivity profiles." Cerebral Cortex 33, no. 9 (2023): 5264-5275.

[31] Weiyang Shi, Lingzhong Fan, Haiyan Wang, Bing Liu, Wen Li, Jin Li, Luqi Cheng,…, Na Luo,et al. "Two subtypes of schizophrenia identified by an individual-level atypical pattern of tensor-based morphometric measurement." Cerebral Cortex 33, no. 7 (2023): 3683-3700.

[32] Min Zhao, Weizheng Yan, Na Luo, Dongmei Zhi, Zening Fu, Yuhui Du, Shan Yu, Tianzi Jiang, Vince D. Calhoun, and Jing Sui. "An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data." Medical image analysis 78 (2022): 102413.

[33] Chao Li, Yue Cui, Na Luo, Yong Liu, Pierrick Bourgeat, Jurgen Fripp, and Tianzi Jiang. "Trans-resnet: Integrating transformers and cnns for alzheimer’s disease classification." In 2022 IEEE 19th international symposium on biomedical imaging (ISBI), pp. 1-5. IEEE, 2022.

[34] Rongtao Jiang, Dustin Scheinost, Nianming Zuo, Jing Wu, Shile Qi, Qinghao Liang, Dongmei Zhi, Na Luo et al. "A neuroimaging signature of cognitive aging from whole‐brain functional connectivity." Advanced Science 9, no. 24 (2022): 2201621.

[35] Wenlu Li, Jin Li, Dan Cao, Na Luo, and Tianzi Jiang. "Neural mechanism of noise affecting face recognition." Neuroscience 468 (2021): 211-219.

[36] Dongren Yao, Jing Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, Pew-Thian Yap, Mingxia Liu, and Dinggang Shen. "A mutual multi-scale triplet graph convolutional network for classification of brain disorders using functional or structural connectivity." IEEE transactions on medical imaging 40, no. 4 (2021): 1279-1289.

[37] Lei Cai, Xuhan Yang, Yani Kang, Wen Wen, Fuquan Zhang, Weihua Yue, Qian Zhang, …, Na Luo et al. "Association of the soluble CTLA4 with schizophrenia: an observational study." Journal of Bio-X Research 3, no. 03 (2020): 116-122.

[38] Shengfeng Liu, Haiying Wang, Ming Song, Luxian Lv, Yue Cui, Yong Liu, Lingzhong Fan, …, Na Luo et al. "Linked 4-way multimodal brain differences in schizophrenia in a large Chinese Han population." Schizophrenia bulletin 45, no. 2 (2019): 436-449.

（1）基于多模态神经信号的卷烟评价系统，国家任务，2026-01-01至2028-12-30，100万元，主持，在研

（2）脑影像-多组学融合的关键技术研究, 中国科学院计划, 2023-01至2026-12，80万，主持，在研

（3）脑图谱大数据分析与建模，国家任务，2022-01至2026-12 ，4000万，课题骨干，在研

（4）基于多模态协同分析的注意缺陷多动障碍的亚型分类和预后预测, 国家任务, 2021-01至2023-12，30万，主持，结题

（5）融合多模态信息的脑疾病亚型判别关键技术研究, 国家任务, 2020-05至2022-04，63万，主持，结题

（6）屏状核参与抑制控制功能的神经电生理研究, 中国科学院计划, 2021-01至2022-12，80万，主持，结题

（7）老年意识/认知障碍评估预警与多物理因子协同刺激干预关键技术及系统研发, 国家任务, 2022-12至2025-12，3600万，子任务负责人，结题

团队与北京天坛医院、北京大学第六医院、北京安定医院、江南大学附属医院、永州市中心医院等多个国内知名团队保持紧密的合作关系。

2021.09-至今，博士研究生，邸诗淇（与蒋田仔研究员联合培养）

2023.09-至今，博士研究生，梁曼（与蒋田仔研究员联合培养）

2023.09-至今，硕转博研究生，尤权圣（与蒋田仔研究员联合培养）

2024.09-至今，硕士研究生，贺子迅

2025.09-至今，硕士研究生，续哲瑞