Scholars@Duke

• Background
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  Education, Training, & Certifications

  • Ph.D., Auburn University 2016
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  Previous Appointments & Affiliations

  • Assistant Professor in Psychiatry and Behavioral Sciences, Psychiatry & Behavioral Sciences, Behavioral Medicine & Neurosciences, Psychiatry & Behavioral Sciences 2021 - 2022
• Recognition
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  Awards & Honors

  • ACNP Travel Award. American College of Neuropsychopharmacology . December 2022
  • DST Launch Seed Award. Duke Science and Technology. August 2022
  • BBRF Young Investigator Award. Brain & Behavior Research Foundation. 2021
  • K99/R00 Pathway to Independence Award. NIH- NICHD. 2021
• Expertise
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  Subject Headings

  • Artificial Intelligence
  • Biomedical imaging and signal processing
  • Image segmentation
  • Infant
  • Machine learning
  • Magnetic Resonance Imaging
  • Neurodevelopmental Disorders
  • Supervised Machine Learning
• Research
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  Selected Grants

  • Adverse Impact Of In Utero SSRI Exposure On Offspring's Brain Myelination At Birth And Social Behavior At 12 Months awarded by Brain and Behavior Research Foundation 2022 - 2024
  • Leveraging artificial intelligence to develop novel tools for studying infant brain development awarded by National Institutes of Health 2022 - 2023
• Publications & Artistic Works
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  Selected Publications

  • Academic Articles

    • Deshpande, G., Wang, Y., & Robinson, J. (2022). Resting state fMRI connectivity is sensitive to laminar connectional architecture in the human brain. Brain Informatics, 9(1). https://doi.org/10.1186/s40708-021-00150-4
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    • Wang, Y., Kessel, E., Lee, S., Hong, S., Raffanello, E., Hulvershorn, L. A., … Posner, J. (2022). Causal effects of psychostimulants on neural connectivity: a mechanistic, randomized clinical trial. Journal of Child Psychology and Psychiatry, 63(11), 1381–1391. https://doi.org/10.1111/jcpp.13585
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    • Deshpande, G., & Wang, Y. (2022). Noninvasive Characterization of Functional Pathways in Layer-Specific Microcircuits of the Human Brain Using 7T fMRI. Brain Sci, 12(10). https://doi.org/10.3390/brainsci12101361
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    • Zhang, X., He, X., Guo, J., Ettehadi, N., Aw, N., Semanek, D., … Wang, Y. (2022). PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers. Ieee Trans Med Imaging, 41(10), 2925–2940. https://doi.org/10.1109/TMI.2022.3174827
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    • Wang, Y., Haghpanah, F. S., Zhang, X., Santamaria, K., da Costa Aguiar Alves, G. K., Bruno, E., … program collaborators for Environmental influences on Child Health Outcomes, . (2022). ID-Seg: an infant deep learning-based segmentation framework to improve limbic structure estimates. Brain Inform, 9(1), 12. https://doi.org/10.1186/s40708-022-00161-9
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    • Abraham, E., Wang, Y., Svob, C., Semanek, D., Gameroff, M. J., Shankman, S. A., … Posner, J. (2022). Organization of the social cognition network predicts future depression and interpersonal impairment: a prospective family-based study. Neuropsychopharmacology, 47(2), 531–542. https://doi.org/10.1038/s41386-021-01065-8
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    • Ettehadi, N., Kashyap, P., Zhang, X., Wang, Y., Semanek, D., Desai, K., … Laine, A. F. (2022). Automated Multiclass Artifact Detection in Diffusion MRI Volumes via 3D Residual Squeeze-and-Excitation Convolutional Neural Networks. Front Hum Neurosci, 16, 877326. https://doi.org/10.3389/fnhum.2022.877326
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    • Wang, Y., Hinds, W., Duarte, C. S., Lee, S., Monk, C., Wall, M., … Posner, J. (2021). Intra-session test-retest reliability of functional connectivity in infants. Neuroimage, 239, 118284–118284. https://doi.org/10.1016/j.neuroimage.2021.118284
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    • Martin, D., & Townsend, K. (2019). Corporate Sponsorship in College Football; An fMRI Study Measuring the Effectiveness of Corporate Branding Across Rival Teams. Sport Marketing Quarterly, 28(4), 209–221. https://doi.org/10.32731/smq.284.122019.03
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    • Wang, Y., Bernanke, J., Peterson, B. S., McGrath, P., Stewart, J., Chen, Y., … Posner, J. (2019). The association between antidepressant treatment and brain connectivity in two double-blind, placebo-controlled clinical trials: a treatment mechanism study. The Lancet Psychiatry, 6(8), 667–674. https://doi.org/10.1016/s2215-0366(19)30179-8
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    • Uniacke, B., Wang, Y., Biezonski, D., Sussman, T., Lee, S., Posner, J., & Steinglass, J. (2019). Resting-state connectivity within and across neural circuits in anorexia nervosa. Brain and Behavior, 9(1), e01205–e01205. https://doi.org/10.1002/brb3.1205
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    • Wang, Y., Xu, C., Park, J.-H., Lee, S., Stern, Y., Yoo, S., … Alzheimer’s Disease Neuroimaging Initiative, . (2019). Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes. Neuroimage Clin, 23, 101859. https://doi.org/10.1016/j.nicl.2019.101859
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    • Daniel, T. A., Townsend, K. M., Wang, Y., Martin, D. S., Katz, J. S., & Deshpande, G. (2018). North American Football Fans Show Neurofunctional Differences in Response to Violence: Implications for Public Health and Policy. Frontiers in Public Health, 6. https://doi.org/10.3389/fpubh.2018.00177
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    • Bernanke, J., Wang, Y., & Posner, J. (2018). Time-Varying Analyses of Imaging Data: Capturing the Role of Network Dynamics in Psychopathology. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3(3), 205–206. https://doi.org/10.1016/j.bpsc.2018.01.006
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    • Kyathanahally, S. P., Wang, Y., Calhoun, V. D., & Deshpande, G. (2017). Investigation of True High Frequency Electrical Substrates of fMRI-Based Resting State Networks Using Parallel Independent Component Analysis of Simultaneous EEG/fMRI Data. Frontiers in Neuroinformatics, 11. https://doi.org/10.3389/fninf.2017.00074
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    • Goodman, A. M., Wang, Y., Kwon, W.-S., Byun, S.-E., Katz, J. S., & Deshpande, G. (2017). Neural Correlates of Consumer Buying Motivations: A 7T functional Magnetic Resonance Imaging (fMRI) Study. Frontiers in Neuroscience, 11. https://doi.org/10.3389/fnins.2017.00512
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    • Davis, M. T., Daniel, T. A., Witte, T. K., Beyers, R. J., Willis, J. Z., Wang, Y., … Deshpande, G. (2016). Demonstration and validation of a new pressure-based MRI-safe pain tolerance device. Journal of Neuroscience Methods, 271, 160–168. https://doi.org/10.1016/j.jneumeth.2016.07.001
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    • Jia, H., Pustovyy, O. M., Wang, Y., Waggoner, P., Beyers, R. J., Schumacher, J., … Deshpande, G. (2016). Enhancement of Odor-Induced Activity in the Canine Brain by Zinc Nanoparticles: A Functional MRI Study in Fully Unrestrained Conscious Dogs. Chemical Senses, 41(1), 53–67. https://doi.org/10.1093/chemse/bjv054
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  • Conference Papers

    • Ettehadi, N., Zhang, X., Wang, Y., Semanek, D., Guo, J., Posner, J., & Laine, A. F. (2021). Automatic Volumetric Quality Assessment of Diffusion MR Images via Convolutional Neural Network Classifiers. In 2021 43rd Annual International Conference of the Ieee Engineering in Medicine &Amp; Biology Society (Embc). IEEE. https://doi.org/10.1109/embc46164.2021.9630834
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  • Preprints

    • Wang, Y., Haghpanah, F. S., Zhang, X., Santamaria, K., da Costa Aguiar Alves, G. K., Bruno, E., … Posner, J. (2021). ID-Seg: An Accurate and Reliable Infant Deep learning Segmentation Framework for Limbic Structures. Cold Spring Harbor Laboratory. https://doi.org/10.1101/2021.03.29.437045
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    • Wang, Y. (n.d.). PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer. Arxiv. https://doi.org/10.48550/arXiv.2105.13993
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• Teaching & Mentoring
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  Recent Courses

  • ECE 899: Special Readings in Electrical Engineering 2022

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