个人简介

王心怡，2024年6月毕业于东南大学生物医学工程（神经信息工程）专业，工学博士。

研究方向聚焦于精神疾病的神经机制和个体化预测模型，涉及心理学、精神病学、生物医学工程、人工智能等多学科交叉。主要的研究内容和兴趣（包括但不限于）：（1）抑郁症脑网络的模式识别方法；（2）抑郁症治疗个体化人工智能预测模型；（3）神经影像元分析（Meta-Analysis）。

教育经历：

本科：南京师范大学计算机科学与技术学院

硕博：东南大学生物科学与医学工程学院

联合培养：德国于利希研究中心神经科学与医学研究所

工作经历：

2024.08-至今 南京师范大学讲师

科研项目

国家自然科学基金青年项目 主持

江苏省高校自然科学基金（面上项目）主持

国家自然科学基金面上项目 参与

科学研究

代表作（第一作者）

1. Wang, X. et al. Lifetime exposure to depression and neuroimaging measures of brain structure and function. JAMA network open, 2024, 7(2), e2356787. (中科院一区Top, JCR Q1)

2. Wang, X. et al. Structure-function coupling and hierarchy-specific antidepressant response in major depressive disorder. Psychological medicine, 2024, 54(10), 2688–2697. (中科院心理学一区TOP, JCR Q1)

3. Wang, X. et al. Rehabilitative compensatory mechanism of hierarchical subnetworks in major depressive disorder: A longitudinal study across multi-sites. European psychiatry, 2019, 58, 54–62. (中科院二区, JCR Q1)

4. Wang, X. et al. Meta-analysis informed functional connectomes representations for depression identification. Journal of magnetic resonance imaging, 2025, 62(5), 1358–1368. (中科院二区, JCR Q1)

5. Wang, X. et al. Three latent factors in major depressive disorder base on functional connectivity show different treatment preferences. Human brain mapping, 2025, 46(8), e70215. (中科院二区, JCR Q1)

6.（共同一作）Zhao, P., Wang, X. et al. Altered fractional amplitude of low-frequency fluctuations in the superior temporal gyrus: a resting-state fMRI study in anxious depression. BMC psychiatry, 2023, 23(1), 847. (中科院二区, JCR Q1)

7. Wang, X. et al. Distinct MRI-based functional and structural connectivity for antidepressant response prediction in major depressive disorder. Clinical neurophysiology, 2024, 160, 19–27. (中科院三区, JCR Q1)

8. Wang, X. et al. Predicting treatment selections for individuals with major depressive disorder according to functional connectivity subgroups. Brain connectivity, 2022, 12(8), 699–710. (中科院三区, JCR Q3)

代表作（共同作者）

1. Capturing the individual deviations from normative models of brain structure for depression diagnosis and treatment. Biological Psychiatry, 2023, 95(5), 403–413. (中科院一区TOP, JCR Q1)

2. Structural–functional decoupling predicts suicide attempts in bipolar disorder patients with a current major depressive episode. Neuropsychopharmacology, 2020, 45(10), 1735–1742. (中科院二区TOP, JCR Q1)

3. Meta-guided dual path convolutional neural network for depression diagnosis with functional MR images. Neurocomputing, 2025, 649, 130790. (中科院二区TOP, JCR Q1)

4. Partly recovery and compensation in anterior cingulate cortex after SSRI treatment—evidence from multi-voxel pattern analysis over resting state fMRI in depression. Journal of Affective Disorders, 2022, 320, 404–412. (中科院二区TOP, JCR Q1)

5. Shared and unique imaging-derived endo-phenotypes of two typical antidepressant-applicative depressive patients. European Radiology, 2022, 33(1), 645–655. (中科院二区TOP, JCR Q1)

6. Early identification of bipolar from unipolar depression before manic episode: Evidence from dynamic rfMRI. Bipolar Disorders, 2019, 21(8), 774–784. (中科院二区, JCR Q1)

7. Individual suicide risk factors with resting-state brain functional connectivity patterns in bipolar disorder patients based on latent Dirichlet allocation model. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 2024, 135, 111117. (中科院二区, JCR Q1)

8. Antidepressants normalize brain flexibility associated with multi-dimensional symptoms in major depressive patients. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 2020, 100, 109866. (中科院二区, JCR Q1)

9. Functional impairment‐based segmentation of anterior cingulate cortex in depression and its relationship with treatment effects. Human Brain Mapping, 2021, 42(12), 4035–4047. (中科院二区, JCR Q1)

国家发明专利

1. 一种弥散张量成像的抑郁症患者疾病恢复的评估方法（CN107785079B）

2. 基于荟萃分析的脑疾病判断系统和判断装置（CN113345572A）

3. 一种基于随机位移算法脑影像组学的鲁棒性检测方法（CN113344853A）

国际交流

口头报告（Oral Presentation）：

1．2019.06, 意大利，罗马，人类大脑图谱会议（Organization of Human Brain Mapping，OHBM）大会报告：Early personalized treatment prediction model derived from subgroup in depression.

海报展示（Poster presentation）：

1. 2018.06, 新加坡，2018OHBM（人类大脑图谱会议），海报展示：Abnormal functional rich club organization in major depressive disorder.

2. 2019.06, 意大利，罗马，2019OHBM（人类大脑图谱会议），海报展示：Early personalized treatment prediction model derived from subgroup in depression.

3. 2019.09.中国，南京，中华医学会精神医学年会，海报展示：基于多模态脑连接组学预测抗抑郁药物早期应答。

4. 2022.06 英国，格拉斯哥，2022OHBM（人类大脑图谱会议）： Altered Structure-function coupling along with functional hierarchy in major depressive disorder.

5. 2022.10, 德国，亚琛，2022年神经科学与生物医学年会：Effect of lifetime exposure to depression and structural and functional images.

学术获奖

优异摘要奖，Merit Abstract Award，国际会议（2019OHBM）, 2019年