44720-Yu, Meichen
Faculty

Meichen Yu, PhD, MSC

Assistant Professor of Radiology & Imaging Sciences

Address
GH 4324
RADY
IN
Indianapolis, IN

Bio

Dr. Yu’s research expertise is in the areas of multimodal neuroimaging (MRI and EEG/MEG) and brain network (or connectome) analyses in dementia and mood disorders. Dr. Yu’s current research focuses on the identification of genetic architecture of brain structural and functional networks in Alzheimer’s Disease and multilayer brain structure-function connectome in normal controls and Alzheimer’s Disease. Specifically, Dr. Yu is interested in identifying associations between the human connectome (measured by functional and diffusion MRI) and amyloid-β and tau pathologies (measured by PET imaging data), as well as blood-based microarray RNA gene expression profiles (transcriptome) and DNA variations (genome) in AD. 

From 2017 to 2019, Dr. Yu worked as a Postdoc Fellow in Computational Neuroscience/Psychiatry for the Department of Psychiatry at the University of Pennsylvania. There he conducted studies in functional and structural network analysis in patients with depression and anxiety symptoms. In 2017,  Dr. Yu obtained his PhD in Computational Neuroscience from the Department of Neurophysiology & Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands. During his doctoral studies, his research included: EEG/MEG network analysis in Alzheimer’s Disease and frontotemporal dementia, developing novel connectivity and network metrics and neural network modeling in neurological disorders. Dr. Yu earned his Master’s (2013) and Bachelor’s (2010) degrees in Theoretical Physics from China.

Understanding spreading patterns of Alzheimer's

Key Publications

Yu M. Network analysis of EEG and MEG in dementia: novel approaches. 
ISBN: 978-94-6332-180-8, June 12, 2017; Printed by: Proefschrift, Amsterdam, The Netherlands.

Other Recent Publications

  1. Zhang X, Wang X, Dong D, Sun X, Zhong X, Xiong G, Cheng C, Lei H, Chai Y, Yu M, Quan P, Gehrman PR, Kim JJ, Detre JA, Yao S, Rao H1. Persistent ventral anterior cingulate cortex and resolved amygdala hyper-responses to negative outcomes after depression remission: a combined cross-sectional and longitudinal study. Biological Psychiatry, In Press, 2022.
  2. Chai Y, Chimelis-Santiago JR, Bixler KA, Aalsma M, Yu M, Hulvershorn L1. Sex-specific frontal-striatal connectivity differences among adolescents with externalizing disorders. NeuroImage Clin, 2021; 32:102789.
  3. Yu M, Sporns O, Saykin AJ1. The human connectome in Alzheimer disease –– relationship to biomarkers and genetics. Nature Reviews Neurology, 2021; 17:545–563 (Cover Article).
  4. Yu M, Cullen NC, Linn KA, Oathes DJ, Seok D, Cook PA, Duprat R, Aselcioglu I, Moore TM, Davatzikos C, Oquendo MA, Weissman MM, Shinohara RT, Sheline YI1. Structural brain measures linked to clinical phenotypes in major depression replicate across clinical centres. Molecular psychiatry, 2021; 26:2764–2775.
  5. Yu M1. Benchmarking metrics for inferring functional connectivity from multi-channel EEG and MEG: a simulation study. Chaos, 2020; 30:123124.
  6. Chai Y, Fang Z, Yang FN, Xu S, Deng Y, Raine A, Wang J, Yu M, Basner M, Goel N, Kim JJ, Wolk DA, Detre JA, Dinges DF, Rao H1. Two nights of recovery sleep restores hippocampal connectivity but not episodic memory after total sleep deprivation. Sci Rep 2020; 10:8774.
  7. Sheline YI1 and Yu M. Linking antidepressant performance with pain network connectivity. Lancet Psychiatry 2019; 6(8):635–636.
  8. Yu M, Linn KA, Shinohara RT, Oathes DJ, Cook PA, Duprat R, Moore TM, Oquendo MA, Phillips ML, McInnis M, Fava M, Trivedi MH, McGrath PJ, Parsey R, Weissman MM, Sheline YI1. Childhood trauma history is linked to brain connectivity abnormalities in major depression. Proc Natl Acad Sci U S A 2019; 116 (17) 8582–8590.
  9. Yu M, Linn KA, Cook PA, Phillips ML, McInnis M, Fava M, Trivedi MH, Weissman MM, Shinohara RT, Sheline YI1. Statistical harmonization corrects site effects in functional connectivity measurements from multi-site fMRI data. Hum Brain Mapp 2018; 39, 4213–4227.
  10. Yu M1, Hillebrand A, Gouw AA, Stam CJ. Horizontal visibility graph transfer entropy (HVG-TE): A novel metric to characterize directed connectivity in large-scale brain networks. NeuroImage 2017; 156, 249–264.
  11. Engels MMA1*, Yu M*, Stam CJ, Gouw AA, van der Flier WM, Scheltens P, van Straaten EC, Hillebrand A. Direction of information flow is disrupted in Alzheimer’s disease. A beamformer-based resting-state MEG study. NeuroImage Clin 2017; 15, 673–681.
  12. Yu M1, Engels MMA, Hillebrand A, van Straaten EC, Gouw AA, Teunissen C, van der Flier WM, Scheltens P, Stam CJ. Selective impairment of hippocampus and posterior hub areas in Alzheimer’s disease: An MEG-based multiplex network study. Brain 2017; 140 (5): 1466–1485 (Cover Article).
  13. Hillebrand A1, Tewarie P, van Dellen E, Yu M, Carbo EW, Douw L, Gouw AA, van Straaten EC, Stam CJ. Direction of information flow in large-scale resting-state networks is frequency-dependent. Proc Natl Acad Sci U S A 2016; 113(14): 3867–72.
  14. Yu M1, Gouw AA, Hillebrand A, Tijms BM, Stam CJ, van Straaten EC, Pijnenburg YA. Different functional connectivity and network topology in behavioral variant of frontotemporal dementia and Alzheimer's disease: an EEG study. Neurobiol Aging 2016; 42: 150–62.
  15. Yu M1, Hillebrand A, Tewarie P, Meier J, van Dijk B, Van Mieghem P, Stam CJ. Hierarchical clustering in minimum spanning trees. Chaos 2015; 25(2): 023107.
  16. Li J, Yu L, Yu M, Chen Y1. Zero-lag synchronization in spatiotemporal chaotic systems with long range delay couplings. Chin Phys Lett 2012; 29(5): 050501.

*These authors contributed equally.
1Corresponding author 

Titles & Appointments

  • Assistant Professor of Radiology & Imaging Sciences
  • Education
    2017 PhD VU University Amsterdam
    2013 MSC Lanzhou University
    2010 BSC Sichuan Normal University
  • Research
    1. Graph theoretical analysis and modern network science
    2. Multimodal neuroimaging (MEG/EEG, fMRI and DTI) connectivity (functional and effective) and network analysis in
    different types of dementia, such as Alzheimer’s disease and frontotemporal dementia
    3. Identification of genetic architecture of brain structure and function in normal controls and patients with Alzheimer’s
    disease
    4. Computational models of brain network dynamics: coupled Rössler/Lorenz attractors, neural mass model, Kuramoto
    model
    5. Nonlinear time-series analysis: identical, phase/amplitude and lag synchronization of coupled chaotic systems;
    generalized synchronization/causality/information flow (transfer entropy and Granger causality)
  • Professional Organizations
    Alzheimer’s Association International Society to Advance Alzheimer Research and Treatment
    American Physiological Society
    Society for Neuroscience
  • Awards
    Org: Alzheimer's Association
    Desc: Research Fellowship Program
    Scope: International
    Date:
    Org: Indiana Alzheimer's Disease Research Center
    Desc: Research and Education Component Scholar Program
    Scope: University
    Date:
    Org: Indiana Alzheimer's Disease Research Center
    Desc: Sarah Roush Memorial Fellowship award
    Scope: University
    Date:

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