入职温州医科大学前，作为博士后研究员在加拿大国家成瘾中心进行青少年成瘾的临床认知神经研究。目前主要从事健康心理学、神经影像与精神病学交叉方向的研究，研究主题围绕青少年脑健康与脑疾病的转化医学研究：主要关注青少年抑郁、焦虑等精神类疾病，失眠、成瘾、慢性疼痛等高危人群。以第一/通讯作者先后在Translational Psychiatry (IF: 6.8)，Journal of Headache and Pain (IF: 8.588，2篇)，Journal of Pain (IF: 5.383)，Psychiatry Research (IF: 11.225)，Journal of Psychiatric Research (IF: 5.250，3篇)，CNS Neuroscience & Therapeutics (IF: 7.035) ，Obesity (IF: 6.9) 等国际专业SCI/SSCI检索的学术期刊上发表50余篇。目前为BMC Psychiatry(中科院2区), BMC Psychology(中科院3区)等国际期刊的编委。

1. 研究方向

（1）基于多模态神经影像技术、量表问卷、机器学习等方法研究青少年群体成瘾、抑郁焦虑等精神类疾病的认知异质

（2）机器学习联合大数据解析精神类疾病的异质性，分类和预测，识别多维度的生物学标志物，实现诊疗策略的优化

（3）应用不同的治疗手段(心理治疗，药物治疗，TMS，ECT等) 进行精神类疾病的干预，基于神经影像标记物解析不同治疗手段在精神类疾病中的作用机制，实现治疗效果的最大化

2. 科研项目

2025.06－2028.05 浙江省哲学社会科学规划年度常规课题      （主持，在研，1/6）

2025.01－2026.12 浙江省自然科学基金委员会青年科学基金项目  （主持，在研，1/1）

2025.04－2026.06 温州市社会科学重点研究基地课题         （主持，在研，1/5）

2024.12－2028.11 浙江省海外高层次人才引进计划青年项目     （主持，在研，1/1）

2024.05－2025.05 温州市哲学社会科学规划年度课题         （主研，结题，2/3）

2023.09－2028.08 温州医科大学学术骨干科研启动项目        （主持，在研，1/1）

3. 学术论文

(1) 研究领域一：肥胖

He, J.^# (精神医学专业大三本科生), Xu, G.^# (精神医学专业大二本科生), Zhao, J.^# (精神医学专业大二本科生), Wang, Y., Lou, C., Wu, S., Zhan, H., Xu, H.^* (2026). Sex-related difference of subcortical gray matter volume associated with crystallized intelligence in young adults with obesity. Biology of Sex Differences. https://doi.org/10.1186/s13293-026-00850-8 (SCI, IF=5.1, JCR Q1, 中科院2区)

Xu, H.^*, Xu, C., Xu, J. ^*(2025). Altered gray matter structural covariance networks in young adults with obesity. International Journal of Obesity. https://doi.org/10.1038/s41366-024-01703-3 (SCI, IF=4.2, JCR Q1, 中科院2区)

Xu, S.^# (心理学专业大三本科生), Lv, K. ^#, Sun, Y. ^#, Chen, T., He, J., Xu, J., Xu, H. ^* (2024). Altered structural node of default mode network mediated general cognitive ability in young adults with obesity. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 135, 111132. https://doi.org/10.1016/j.pnpbp.2024.111132 (SCI, IF=5.6, JCR Q1, 中科院2区)

Xu, H. ^*, Owens, M., MacKillop, J. ^* (2023). Neuroanatomical profile of body mass index implicates impulsive delay discounting and general cognitive ability. Obesity. 31 (11): 2799-2808. https://doi.org/10.1002/oby.23880 (SCI, IF=6.9, JCR Q1, 中科院2区)

(2) 研究领域二：慢性疼痛

Cheng, S.^#, Xu, C.^#, Zhu, C., Xu, H.^* (2025). Abnormal structural gray matter and structural covariance networks associated with biopsychosocial characteristics in children with multisite pain. The Journal of Headache and Pain 26 (1): 234. https://doi.org/10.1186/s10194-025-02174-1 (SCI, IF=7.9, JCR Q1, 中科院1区Top)

Xu, H.^*, Chen, Y., Tao, Y., Zhang, Y., Zhao, T., Wang, M., Fan, L., Zheng, Y., Guo, C.^* (2022) Modulation effect of acupuncture treatment on chronic neck and shoulder pain in female patients: Evidence from periaqueductal gray‐based functional connectivity. CNS Neuroscience & Therapeutics. 28 (5), 714-723. https://doi.org/10.1111/cns.13803 (SCI, IF=7.035, JCR Q1, 中科院1区Top)

(3) 研究领域三：轻度脑外伤：

Xu, H. ^*, Xu, C., Guo, Y., Hu, Y., Fang, Q., Yang, D., Niu, X., Bai, G. ^* (2024). Abnormal longitudinal changes of structural covariance networks of cortical thickness in mild traumatic brain injury with posttraumatic headache. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 133, 111012. https://doi.org/10.1016/j.pnpbp.2024.111012 (SCI, IF=5.6, JCR Q1, 中科院2区)

Xu, H. ^*, Xu, C., Gu, P., Hu, Y., Guo, Y., Bai, G. ^* (2023). Neuroanatomical restoration of salience network links reduced headache impact to cognitive function improvement in mild traumatic brain injury with posttraumatic headache. Journal of Headache and Pain. 24 (1): 43. https://doi.org/10.1186/s10194-023-01579-0 (SCI, IF=8.588, JCR Q1, 中科院1区Top)

(4) 研究领域四：成瘾

Xu, H. ^*, Li, J., Huang, H., Yin, B., Li, D. ^* (2024). Abnormal developmental of structural covariance networks in young adults with heavy cannabis use: a 3-year follow-up study. Translational Psychiatry. 14 (1): 45. https://doi.org/10.1038/s41398-024-02764-8 (SCI, IF=6.8, JCR Q1, 中科院1区Top)

Li, J., Xu, H. ^* (2024). Abnormal structural covariance networks in young adults with recent cannabis use. Addictive Behaviors. 155, 108029. https://doi.org/10.1016/j.addbeh.2024.108029 (SSCI/SCI, IF=4.4, JCR Q1, 中科院2区)

(5) 研究领域五：机器学习

Xu, H.^#*, Li, J.^#, Xu, J., Li, D.^*(2025). Machine learning-derived multimodal neurobiological profiles of behavioral activation traits in adolescent. European Child & Adolescent Psychiatry. 34 (10), 3059-3070. https://doi.org/10.1007/s00787-025-02714-9 (SCI/SSCI, IF=6, JCR Q1, 中科院2区)

Xu, H.^#*, Xu, J.^#, Li, D.^*(2025). Neuroanatomical prediction of individual anxiety problems level using machine learning models: a population-based cohort study of young adults. Neurobiology of Stress. 34, 100705. https://doi.org/10.1016/j.ynstr.2024.100705 (SCI, IF=4.3, JCR Q1, 中科院2区)

4. 联系方式

E-mail：huixu@wmu.edu.cn

课题组长期招收有志于参与青少年心理健康方向研究的学生，请邮件联系，探讨任何可能性。