个人简介
EDUCATION
2002.07-2005.05: Ph.D., National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
1999.09-2002.06: M.Sc., School of Mechanical Engineering, Dalian University of Technology, Dalian, China
1993.09-1997.06: B.Sc., School of Mechanical Engineering, Shandong University of Technology, Zibo, China
PROFESSIONAL POSITIONS
2019.04-present: Director, International Science Center for Cognitive Neuroscience, Beijing Normal University, China
2017.03-present: Deputy Director, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China
2017.01-present: Founding Director, Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, China
2016.01-present: Changjiang Distinguished Professor, Beijing Normal University, China
2013.06-present: Principal Investigator, IDG/McGovern Institute for Brain Research, Beijing Normal University, China
2013.09-present: Professor, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China
2015.09-2017.11: Director, Imaging Center for Brain Research, Beijing Normal University, China
2008.01-2013.08: Investigator, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China
2005.06-2007.12: Post-doctoral Fellow, McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Canada
HONORS AND AWARDS
2019: National High-Level Personnel of Special Support Program (Ten Thousand Talents Plan), China
2016-2022: Highly Cited Researchers (Neuroscience & Behavior), Clarivate Analytics
2020-2022: The Most Cited Chinese Researchers (Psychology), Elsevier
2015-2019: The Most Cited Chinese Researchers (Neuroscience), Elsevier
2015: Changjiang Distinguished Professor, Ministry of Education, China
2015: National Award for Natural Sciences (Second Class, Rank 2), Ministry of Science and Technology, China
2015: Award for Progress in Science and Technology (First Class, Rank 3), Ministry of Education, China
2015: Technology-Empowered Beijing: Top 100 Leading Talents, Beijing, China
2015: Special Government Allowances of the State Council, China
2014: Beijing Natural Science Award (Second Class, Rank 1), Beijing, China
2013: National Award for Progress in Science and Technology (Second Class, Rank 5), Ministry of Science and Technology, China
2013: Science and Technology Award for Chinese Youth, China
2012: National Science Fund for Distinguished Young Scholars, China
2011: APS Observer Rising Stars, Association for Psychological Science (APS), USA
2009: "Scopus Young Scientist" Award for Life Sciences, Elsevier
2008: Beijing Natural Science Award (Third Class, Rank 2), China
2007: Travel Award for the 13th Human Brain Mapping Conference, NIMH
2006: Travel Award for the 12th Human Brain Mapping Conference, OHBM
2006: Jeanne Timmins Costello Fellowship, Montreal Neurological Institute, McGill University
2004: President Scholarship, Chinese Academy of Sciences
近期论文
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Liang X, Sun L, Liao X, Lei T, Xia M, Duan D, Zeng Z, Xu Z, Men W, Wang Y, Tan S, Gao J, Qin S, Tao S, Dong Q, Zhao T, He Y (2023) Structural connectome architecture shapes the maturation of cortical morphology from childhood to adolescence. bioRxiv. [PDF] [CODE]
Sun X, Sun J, Lu X, Dong Q, Zhang L, Wang W, Liu J, Ma Q, Wang X, Wei D, Chen Y, Liu B, Huang C, Zheng Y, Wu Y, Chen T, Cheng Y, Xu X, Gong Q, Si T, Qiu S, Lin C, Cheng J, Tang Y, Wang F, Qiu J, Xie P, Li L, He Yong, DIDA-MDD Working Group, Xia M (2023) Mapping neurophysiological subtypes of major depressive disorder using normative models of the functional connectome. Biol Psychiatry. In press. [PDF]
Sun X, Xia M, He Y (2023) Towards dysfunctional connectome development in depressed adolescents. European Child & Adolescent Psychiatry. DOI: 10.1007/s00787-023-02223-7. [PDF]
Xia M, He Y (2023) Connetomics reconciles seemingly irreconcilable neuroimaging findings. Trends Cogn Sci. DOI: 10.1016/j.tics.2023.04.005. [PDF]
Xia M, He Y (2023) Unraveling circuit mechanisms of depression remission and relapse vulnerability. Biol Psychiatry 93(3): 213-214. [PDF]
Xia M, He Y (2022) Connectome-guided transcranial magnetic stimulation treatment in depression. European Child & Adolescent Psychiatry 31(10): 1481-1483. [PDF]
Xia M, Liu J, Mechelli A, Sun X, Ma Q, Wang X, Wei D, Chen Y, Liu B, Huang C, Zheng Y, Wu Y, Chen T, Cheng Y, Xu X, Gong Q, Si T, Qiu S, Lin C, Cheng J, Tang Y, Wang F, Qiu J, Xie P, Li L, He Y (2022) Connectome gradient dysfunction in major depression and its association with gene expression profiles and treatment outcomes. Mol Psychiatry 27(3):1384-1393. [PDF] [CODE]
Xie Y, Xu Z, Xia M, Liu J, Shou X, Cui Z, Liao X, He Y (2022) Alterations in connectome dynamics in autism spectrum disorder: a harmonized mega- and meta-analysis study using the ABIDE dataset. Biol Psychiatry 91(11):945-955. [Commentary: Liu Y, Varoquaux G (2022) Understanding brain network dynamics in autism begs for generalization. Biol Psychiatry 91(11):916-917.] [PDF] [CODE] (Cover Paper)
Xia Y, Xia M, Liu J, Liao X, Lei T, Liang X, Zhao T, Shi Z, Sun L, Chen X, Men W, Wang Y, Pan Z, Luo J, Peng S, Chen M, Hao L, Tan S, Gao J, Qin S, Gong G, Tao S, Dong Q, He Y (2022) Development of functional connectome gradients during childhood and adolescence. Sci Bull 67(10):1049-1061. [Commentary: Jia T, Schumann G (2022) How cognitive neuroscience can enhance education and population mental health. Sci Bull 67(15):1542-1543.] [PDF] (Cover Paper)
Xu Z, Xia M, Wang X, Liao X, Zhao T, He Y (2022) Meta-connectomic analysis maps consistent, reproducible, and transcriptionally relevant functional connectome hubs in the human brain. Commun Biol 5, 1056. [PDF] [CODE]
Sun L, Liang X, Duan D, Liu J, Chen Y, Wang X, Liao X, Xia M, Zhao T, He Y (2022) Structural insight into the individual variability architecture of the functional brain connectome. NeuroImage 259:119387. [PDF] [CODE]
Tian D, Zeng Z, SunX, Tong Q, Li H, He H, Gao J, He Y, Xia M (2022) A deep learning-based multisite neuroimage harmonization framework established with a traveling-subject dataset. NeuroImage 257:119297. [PDF] [CODE]
Lei T, Liao X, Chen X, Zhao T, Xu Y, Xia M, Zhang J, Sun X, Wei Y, Men W, Wang Y, Hu M, Zhao G, Du B, Wu Q, Tan S, Gao J, Qin S, Tao S, Dong Q, He Y (2022) Progressive stabilization of brain network dynamics during childhood and adolescence. Cereb Cortex 32(5):1024-1039. [PDF] [CODE]
Wang L, Chen X, Xu Y, Cao M, Liao X, He Y (2022) Frequency-resolved connectome hubs and test-retest reliability in the resting human brain. Neurosci Bull 38(5):519–532. [PDF]
Zeng Z, Zhao T, Sun L, Zhang Y, Xia M, Liao X, Zhang J, Shen D, Wang L, He Y (2022) 3D-MASNet: 3D mixed-scale asymmetric convolutional segmentation network for 6-month-old infant brain MR images. Human Brain Mapping 44(4):1779-1792. [PDF] [CODE]
Bu X, Cao M, Huang X, He Y (2021) The structural connectome in ADHD. Psychoradiology 1(4):257-271. [PDF]
Chen Y, Lin Q, Liao X, Zhou C, He Y (2021) Association of aerobic glycolysis with the structural connectome reveals a benefit-risk balancing mechanism in the human brain. Proc Natl Acad Sci 118(1):e2013232118. [PDF]
Wang Q, Xu Y, Zhao T, Xu Z, He Y, Liao X (2021) Individual uniqueness in the neonatal functional connectome. Cereb Cortex 31(8):3701–3712. [PDF]
Fan F, Liao X, Lei T, Zhao T, Xia M, Men M, Wang Y, Hu M, Liu J, Qin S, Tan S, Gao J, Dong Q, Tao S, He Y (2021) Development of the default-mode network during childhood and adolescence: a longitudinal resting-state fMRI study. NeuroImage 226:117581. [PDF]
Sheng J, Zhang L, Feng J, Liu J, Li A, Chen W, Shen Y, Wang J, He Y, Xue G (2021) The coupling of BOLD signal variability and degree centrality underlies cognitive functions and psychiatric diseases. NeuroImage 237:118187. [PDF]
Wang Y, Metoki A, Xia Y, Zang Y, He Y, Olson I (2021) A large-scale structural and functional connectome of social mentalizing. NeuroImage 236:118115. [PDF]
Sun X, Liu J, Ma Q, Duan J, Wang X, Xu Y, Xu Z, Xu K, Wang F, Tang Y, He Y, Xia M (2021) Disrupted intersubject variability architecture in functional connectomes in schizophrenia. Schizophr Bull 47(3):837-848. [PDF]
Liu J, Xia M, Wang X, Liao X, He Y (2020) The spatial organization of the chronnectome associates with cortical hierarchy and transcriptional profiles in the human brain. NeuroImage 222:117296. [PDF]
Chen Y, Zhang Z, He Y, Zhou C (2020) A large-scale high-density weighted structural connectome of the macaque brain acquired by predicting missing links. Cereb Cortex 30(9):4771-4789. [PDF]
Ma Q, Tang Y, Wang F, Liao X, Jiang X, Wei S, Mechelli A, He Y, Xia M (2020) Transdiagnostic dysfunctions in brain modules across patients with schizophrenia, bipolar disorder and major depressive disorder: a connectome-based study. Schizophr Bull 46(3):699-712. [PDF]
Sha Z, Wager T, Mechelli A, He Y (2019) Common dysfunction of large-scale neurocognitive networks across psychiatric disorders. Biol Psychiatry 85(5):379-388. [PDF] [Sha_SBFC_list.docx] [Sha_VBM_list.docx] [Press Release: Disrupted networks link overlapping cognitive deficits in psychiatric disorders]
Xia M, Si T, Sun X, Ma Q, Liu B, Wang L, Meng J, Chang M, Huang X, Chen Z, Tang Y, Xu K, Gong Q, Wang F, Qiu J, Xie P, Li L, He Y, and DIDA-Major Depressive Disorder Working Group (2019) Reproducibility of functional brain alterations in major depressive disorder: Evidence from a multisite resting-state functional MRI study with 1,434 individuals. NeuroImage 189:700-714. [PDF]
Zhao T, Liao X, Fonov V, Wang Q, Men W, Wang Y, Qin S, Tan S, Gao J, Evans A, Tao S, Dong Q, He Y (2019) Unbiased age-specific structural brain atlases for Chinese pediatric population. NeuroImage 189:55-70. [PDF] [Download] [XINHUA: Scientists develop structural brain atlases for Chinese children]
Zhao T, Xu Y, He Y (2019) Graph theoretical modeling of baby brain networks. NeuroImage 185:711-727. [Cover Paper] [PDF]
Xu Y, Cao M, Liao X, Xia M, Wang X, Jeon T, Ouyang M, Chalak L, Rollins N, Huang H, He Y (2019) Development and emergence of individual variability in the functional connectivity architecture of the preterm human brain. Cereb Cortex 29(10):4208-4222. [PDF]
Huang H, Huppi PS, He Y, Lerch J (2019) Imaging baby brain development. NeuroImage 203:116142. (Editorial).
Yang X, Liu J, Meng Y, Xia M, Cui Z, Wu X, Hu X, Zhang W, Gong G, Gong Q, Sweeney J, He Y (2019) Network analysis reveals disrupted functional brain circuitry in drug-naive social anxiety disorder. NeuroImage 190:213-223. [ESI Highly Cited Paper] [PDF]
Xie T, Zhang X, Tang X, Zhang H, Yu M, Gong G, Wang X, Evans A, Zhang Z, He Y (2019) Mapping convergent and divergent cortical thinning patterns in patients with deficit and non-deficit schizophrenia. Schizophr Bull 45(1):211-221. [PDF]
Xia M, Womer FY, Chang M, Zhu Y, Zhou Q, Edmiston EK, Jiang X, Wei S, Duan J, Xu K, Tang Y, He Y, Wang F (2019) Shared and distinct functional architectures of brain networks across psychiatric disorders. Schizophr Bull 45(2):450-463. [PDF]
Dai Z, Lin Q, Li T, Wang X, Yuan H, Yu X, He Y, Wang H (2019) Disrupted structural and functional brain networks in Alzheimer’s disease. Neurobiology of Aging 75:71-82. [PDF]
Gu H, Hu Y, Chen X, He Y, Yang Y (2019) Regional excitation-inhibition balance predicts default-mode network deactivation via functional connectivity. NeuroImage 185:388-397. [PDF]
Duan J, Xia M, Womer FY, Chang M, Yin Z, Zhou Q, Zhu Y, Liu Z, Jiang X, Wei S, Anthony O’Neill F, He Y, Tang Y, Wang F (2019) Dynamic changes of functional segregation and integration in vulnerability and resilience to schizophrenia. Hum Brain Mapp 40(7):2200-2211. [PDF]
Sha Z, Xia M, Lin Q, Cao M, Tang Y, Xu K, Song H, Wang Z, Wang F, Fox P, Evans A, He Y (2018) Meta-connectomic analysis reveals commonly disrupted functional architectures in network modules and connectors across brain disorders. Cereb Cortex 28(12):4179-4194. [PDF]
Liang X, Hsu L, Lu H, Sumiyoshi A, He Y, Yang Y (2018) The rich club organization in rat functional brain network to balance between communication cost and efficiency. Cereb Cortex 28(3):924-935. [PDF]
Liu J, Liao X, Xia M, He Y (2018) Chronnectome fingerprinting: identifying individuals and predicting higher cognitive functions using dynamic brain connectivity patterns. Hum Brain Mapp 39(2):902-915. [PDF] [ESI Highly Cited Paper] [2019 Editors' Choice Collection]
Wang X, Lin Q, Xia M, He Y (2018) Differentially categorized structural brain hubs are involved in different microstructural, functional and cognitive characteristics and contribute to individual identification. Hum Brain Mapp 39(4):1647-1663. [PDF]
Chen X, Liao X, Dai Z, Lin Q, Wang Z, Li K, He Y (2018) Topological analyses of functional connectomics: a crucial role of global signal removal, brain parcellation and null models. Hum Brain Mapp 39(11):4545-4564. [PDF]
Du H, Xia M, Zhao K, Liao X, Yang H, Wang Y, He Y (2018) PAGANI toolkit: parallel graph-theoretical analysis package for brain network big data. Hum Brain Mapp 39(5):1869-1885. [PDF] [Download]
Zhang N, Xia M, Qiu T, Wang X, Lin CP, Guo Q, Lu J, Wu Q, Zhuang D, Yu Z, Gong F, Farrukh Hameed NU, 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. Hum Brain Mapp 39(12):4802-4819. [PDF]
Qiu L, Xia M, Cheng B, Yuan L, Kuang W, Bi F, Ai H, Gu Z, Lui S, Huang X, He Y, Gong Q (2018) Abnormal dynamic functional connectivity of amygdalar subregions in untreated patients with first-episode major depressive disorder. J Psychiatry Neurosci 43(4):262-272. [PDF]
Chang M, Womer FY, Edmiston EK, Bai C, Zhou Q, Jiang X, Wei S, Wei Y, Ye Y, Huang H, He Y, Xu K, Tang Y, Wang F (2018) Neurobiological commonalities and distinctions among three major psychiatric diagnostic categories: a structural MRI study. Schizophr Bull 44(1):65-74. [PDF]
Chen H, Sha Z, Ma H, He Y, Feng T (2018) Effective network of deep brain stimulation of subthalamic nucleus with bimodal positron emission tomography/functional magnetic resonance imaging in Parkinson’s disease. CNS Neurosci Ther 24(2):135-143. [PDF]
Protachevicz PR, Borges RR, Reis AS, Borges FS, Iarosz KC, Caldas IL, Lameu EL, Macau EEN, Viana RL, Sokolov IM, Ferrari FAS, Kurths J, Batista AM, Lo CY, He Y, Lin CP (2018) Synchronous behaviour in network model based on human cortico-cortical connections. Physiol Meas 39(7):074006. [PDF]
Lu X, Guo H, Sun J, Dong Q, Zhao F, Liao X, Zhang L, Zhang Y, Li W, Li Z, Liu T, He Y, Xia M, Li L (2018) A shared effect of paroxetine treatment on gray matter volume in depressive patients with and without childhood maltreatment: A voxel-based morphometry study. CNS Neurosci Ther 24(11):1073-1083. [PDF]
Wu C, Zhong S, Chan Y, Chen H, He Y (2018) White-matter structural connectivity in relation to humor styles: an exploratory study. Front Psychol 9:1654. [PDF]
Liu X, Chen X, Zheng W, Xia M, Han Y, Song H, Li K, He Y, Wang Z (2018) Altered Functional Connectivity of Insular Subregions in Alzheimer’s Disease. Front Aging Neurosci 10:107. [PDF]
Wu X, Zhang J, Cui Z, Tang W, Shao C, Hu J, Zhu J, Zhao Y, Lu L, Chen G, Northoff G, Gong G, Mao Y, He Y (2018) White matter deficits underlying the impaired consciousness level in patients with disorders of consciousness. Neurosci Bull 34 (4):668-678. [PDF]
Xia M, Si T, He Y (2018) Imaging connectomics in depression. CNS Neurosci Ther 24(11): 991-993. (Editorial).
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