Location:
Wu Wei, Senior researcher
Email: weiwuneuro@sjtu.edu.cn
Research interests: Precision diagnosis and treatment of brain diseases and clinical transformation, brain signal processing and machine learning
Wu Wei
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1. Wu W, Zhang Y, Jiang J, Lucas V M, Fonzo G A, Rolle C E, Cooper C, Chin-Fatt C, Krepel N, Cornelssen C A, Wright R, Toll R T, Trivedi H M, Monuszko K, Caudle T L, Sarhadi K, Jha M K, Trombello J M, Deckersbach T, Adams P, McGrath P J, Weissman M M, Fava M, Pizzagalli D A, Arns M, Trivedi M H, Etkin A. An Electroencephalographic Signature Predicts Antidepressant Response in Major Depression. Nature Biotechnology, 2020, 38(4): 439-447. (Highlighted by News & Views in Nature Biotechnology: https://doi.org/10.1038/s41587-020-0476-5; Reviewed in Psychiatry Times: https://www.psychiatrictimes.com/view/homing-eeg-signature-predict-antidepressant-response; Media coverage by NIH, Stanford University, Scientific American, NPR, USNews, The Times, Time, and Psychiatric Times).
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2. Zhang Y#, Naparstek S, Gordon J, Watts M, Shpigel E, EI-Said D, Badami F, Eisenberg M, Toll R, Gage A, Goodkind M, Etkin A#, Wu W#. Machine learning-based identification of a psychotherapy-predictive electroencephalographic signature in PTSD. Nature Mental Health, 2023, 1: 284-294.
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3. Zhang Y*, Wu W*, Toll R T, Naparstek S, Maron-Katz A, Watts M, Gordon J, Jeong J, Astolfi L, Shpigel E, Longwell P, Sarhadi K, El-Said D, Li Y, Cooper C, Chin-Fatt C, Arns M, Goodkind M S, Trivedi M H, Marmar C R, Etkin A. Identification of Psychiatric Disorder Subtypes from Functional Connectivity Patterns in Resting-State Electroencephalography. Nature Biomedical Engineering, 2021, 5(4): 309-323. (Media coverage by Forbes).
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4. Etkin A*, Maron-Katz A*, Wu W*, Fonzo G A*, Huemer J*, Vertes P E*, et al. Using fMRI Connectivity to Define a Treatment-Resistant Form of Post-Traumatic Stress Disorder. Science Translational Medicine, 2019, 11 (486) (Highlighted by Nature Human Behaviour: https://doi.org/10.1038/s41562-019-0627-1).
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5. Tian W*, Zhao D*, Ding J, Zhan S, Zhang Y, Etkin A, Wu W#, Yuan T#, An electroencephalographic signature predicts craving for methamphetamine. Cell Reports Medicine, 2024, 5(2): 101427. (Highlighted by Preview in Cell Reports Medicine: https://doi.org/10.1016/j.xcrm.2024.101427)
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6. Wang W*, Qi F*, Wipf D, Cai C, Yu T, Li Y, Yu Z#, Wu W#. Sparse Bayesian Learning for End-to-End EEG Decoding. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(12): 15632-15649.
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7. Wang W, Qi F, Huang W, Li Y, Yu Z, Wu W#. EEG-based Cross-subject Emotion Recognition Using Sparse Bayesian Learning with Enhanced Covariance Alignment. IEEE Transactions on Affective Computing, in press.
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8. Huang G, Liu K, Liang J, Cai C, Gu Z, Qi F, Li Y, Yu Z, Wu W#. Electromagnetic source imaging via a data-synthesis-based convolutional encoder-decoder network. IEEE Transactions on Neural Networks and Learning Systems, 2023, 35(5): 6423-6437.
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9. Huang W, Wang W, Li Y, Wu W#. FBSTCNet: A spatial-temporal convolutional network integrating power and connectivity features for EEG-based emotion decoding. IEEE Transactions on Affective Computing, 2024, DOI: 10.1109/TAFFC.2024.3385651.
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10. Qi F, Wu W#, Yu Z, Gu Z, Wen Z, Yu T, Li Y. Spatio-Temporal Filtering-Based Channel Selection for Single-Trial EEG Classification. IEEE Transactions on Cybernetics, 2021, 51(2): 558-567.
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11. Qi F, Li Y, Wu W#. RSTFC: A Novel Algorithm for Spatio-Temporal Filtering and Classification of Single-Trial EEG. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(12): 3070-3082.
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12. Toll R T*, Wu W*, Naparstek S, Zhang Y, Narayan M, Patenaude B, De Los Angeles C, Sarhadi K, Anicetti N, Longwell P, Shpigel E, Wright R, Newman J, Gonzalez B, Hart R, Mann S, Abu-Amara D, Sarhadi K, Cornelssen C, Marmar C, Etkin A. An Electroencephalography Connectomic Profile of Post-Traumatic Stress Disorder. American Journal of Psychiatry, 2020, 177(3): 233-243.
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13. Wu W, Nagrajan S, Chen Z. Bayesian Machine Learning for EEG/MEG. IEEE Signal Processing Magazine, 2016, 33(1): 14-36.
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14. Wu W, Chen Z, Gao X, Li Y, Brown E, Gao S. Probabilistic Common Spatial Patterns for Multichannel EEG Analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(3): 639-653.