Publications | Zhan Lab


  1. Guan H, Tang Y, Long Z, Lin R, Liang S, Zhu F, Zhong T, Zhang Y, Fan Y, Wang Z, Shi C, Ma W, Sun S, Chen M, Xing L, Zhang Y*, Xue X*, Zhan Y*. Cellphone remote intelligent neuroregulation with self-powered piezoelectric wireless brain probe. Nano Energy. 2023, 106:108105. doi: 10.1016/j.nanoen.2022.108105. [link]
  2. Lin R, Fan Y, Xie Y, Ge D, Liang S, Guan H, Chen M, Zhang Y, Xing L*, Xue X*,Zhan Y*. A self-powered wearable seizure-monitoring/brain-stimulating system for potential epilepsy treatment. Nano Energy. 2023, 107:108121. doi: 10.1016/j.nanoen.2022.108121. [link]


  1. Xu C, Xie Y, Zhong T, Liang S, Guan H, Long Z, Cao H, Xing L, Xue X*, Zhan Y*. A self-powered wearable brain-machine-interface system for real-time monitoring and regulating body temperature. Nanoscale. 2022, 14, 12483-12490. doi: 10.1039/d2nr03115a. [link]
  2. Xie J, Zhang J, Sun J, Ma Z, Qin L, Li G, Zhou H*, Zhan Y*. A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification. IEEE Trans Neural Syst Rehabil Eng. 2022, 30:2126-2136. doi: 10.1109/TNSRE.2022.3194600. [link]
  3. Geng Y, Qin L, Li Y, Yu Z, Li L, Asogbon MG, Zhan Y, Yan N, Guo X, Li G*. Identifying oscillations under multi-site sensory stimulation for high-level peripheral nerve injured patients: a pilot study. J Neural Eng. 2022 Jun 6;19(3). doi: 10.1088/1741-2552/ac7079. [link]
  4. Luo W, Yun D, Hu Y, Tian M, Yang J, Xu Y, Tang Y, Zhan Y, Xie H, Guan JS*. Acquiring new memories in neocortex of hippocampal-lesioned mice. Nat Commun. 2022, 13, 1601. DOI: 10.1038/s41467-022-29208-5 [link]
  5. Gao Y, Xia X, Liu L, Wu T, Chen T, Yu J, Xu Z, Wang L, Yan F, Du Z, Chu J, Zhan Y, Peng B, Li H*, Zheng W*. Axial gradient excitation accelerates volumetric imaging of two-photon microscopy. Photon. Res. 2022. 10, 687-696. DOI: 10.1364/PRJ.441778. [link]
  6. Xiang W, Xie Y, Han Y, Long Z, Zhang W, Zhong T, Liang S, Xing L*, Xue X*, Zhan Y*. A self-powered wearable brain-machine-interface system for ceasing action. Nanoscale. 2022,14, 4671-4678. DOI:10.1039/d1nr08168c. [link]
  7. Liang S, Han Y, Zhang W, Zhong T, Guan H, Song Y, Zhang Y, Xing L, Xue X*, Li G*, Zhan Y*. A self-powered wearable body-detecting/brain-stimulating system for improving sports endurance performance. Nano Energy. 2022, 93, 106851. DOI: 10.1016/j.nanoen.2021.106851. [link]
  8. Yang G, Tang Y, Lin T, Zhong T, Fan Y, Zhang Y, Xing L*, Xue X*, Zhan Y*. A self-powered closed-loop brain-machine-interface system for real-time detecting and rapidly adjusting blood glucose concentration. Nano Energy. 2022, 93, 106817. DOI: 10.1016/j.nanoen.2021.106817. [link]
  9. Wang S, Chen H, Zhan Y*. Novel Causal Relations between Neuronal Networks due to Synchronization. Cerebral Cortex. 2022, 32(2): 429-438. DOI: [link]


  1. Schilling KG et al., Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage. 2021, 243, 118502. DOI: 10.1016/j.neuroimage.2021.118502. [link]
  2. Dong W, Chen H, Sit T, Han Y, Song F, Vyssotski AL, Gross CT, Si B*, Zhan Y*. Characterization of exploratory patterns and hippocampal–prefrontal network oscillations during the emergence of free exploration. Science Bulletin. 2021, 66: 2238-2250. DOI: 10.1016/j.scib.2021.05.018. [link]
  3. Zhao T, Han Y, Qin L, Guan H, Xing L, Li X, Xue X*, Li G*, Zhan Y*. Bidirectional modulation of neural plasticity by self-powered neural stimulation. Nano Energy. 2021, 85, 106006. DOI: 10.1016/j.nanoen.2021.106006. [link]


  1. Guan H, Lv D, Zhong T, Dai Y, Xing L, Xue X*, Zhang Y*, Zhan Y*, Self-powered, wireless-control, neural-stimulating electronic skin for in vivo characterization of synaptic plasticity. Nano Energy. 2020, 67, 104182. DOI: 10.1016/j.nanoen.2019.104182. [link]


  1. Zhong T, Zhang M, Fu Y, Han Y, Guan H, He H, Zhao T, Xing L, Xue X*, Zhang Y*, Zhan Y*, An artificial triboelectricity-brain-behavior closed loop for intelligent olfactory substitution. Nano Energy. 2019, 63, 103884. DOI: 10.1016/j.nanoen.2019.103884. [link]


  1. Zeng H, He H, Fu Y, Zhao T, Han W, Xing L, Zhang Y*, Zhan Y*, Xue X*, A self-powered brain-linked biosensing electronic-skin for actively tasting beverage and its potential application in artificial gustation. Nanoscale. 2018. DOI: 10.1039/c8nr06178e. [link]
  2. Dai XJ, Jiang J, Zhang Z, Nie X, Liu BX, Pei L, Gong H, Hu J, Lu G*, Zhan Y*. Plasticity and Susceptibility of Brain Morphometry Alterations to Insufficient Sleep. Front Psychiatry. 2018, 9:266. DOI: 10.3389/fpsyt.2018.00266. [link]
  3. Dai Y, Fu Y, Zeng H, Xing L, Zhang Y*, Zhan Y*, Xue X*. A Self-Powered Brain-Linked Vision Electronic-Skin Based on Triboelectric-Photodetecing Pixel-Addressable Matrix for Visual Image Recognition and Behavior Intervention. Advanced Functional Materials. 2018, 28, 1800275. DOI: 10.1002/adfm.201800275. [link]
  4. Fu Y, Zhang M, Dai Y, Zeng H, Sun C, Han Y, Xing L, Wang S, Xue X*, Zhan Y*, Zhang Y*, A self-powered brain multi-perception receptor for sensory-substitution application. Nano Energy. 2018, 44: 43–52. DOI: 10.1016/j.nanoen.2017.11.068. [link]


  1. Zhou TT, Zhu H, Fan ZX, Wang F, Chen Y, Liang HX, Yang ZF, Zhang L, Lin LN, Zhan Y, Wang Z, Hu H*. History of winning remodels thalamo-PFC circuit to reinforce social dominance. Science. 2017, 357: 162-168. DOI: 10.1126/science.aak9726. [link]
  2. Franklin TB, Silva BA, Perova Z, Marrone L, Masferrer ME, Zhan Y, Kaplan A, Greetham L, Verrechia V, Halman A, Pagella S, Vyssotski AL, Illarionova A, Grinevich V, Branco T, Gross CT*. Prefrontal cortical control of a brainstem social behavior circuit. Nature Neurosci. 2017, 20(2):260-270. DOI: 10.1038/nn.4470. [link]


  1. Zhan Y*. Harnessing GABAergic Transmission for Slow Oscillations. Neurosci Bull. 2016, 32(5): 501-502. DOI: 10.1007/s12264-016-0058-1. [link]
  2. Song W, Xu Q, Zhang Y, Zhan Y, Zheng W*, Song L*. Fully integrated reflection-mode photoacoustic, two-photon, and second harmonic generation microscopy in vivo, Sci Rep. 2016, 6: 32240. DOI: 10.1038/srep32240. [link]
  3. Lu Y, Zhong C, Wang L, Wei P, He W, Huang K, Zhang Y, Zhan Y, Feng G, Wang L*. Optogenetic dissection of ictal propagation in the hippocampal-entorhinal cortex structures. Nat Commun. 2016, 7:10962. DOI: 10.1038/ncomms10962. [link]
  4. Dai XJ, Nie X, Liu X, Pei L, Jiang J, Peng DC, Gong HH*, Zeng XJ*, Wáng YJ, Zhan Y, Gender Differences in Regional Brain Activity in Patients with Chronic Primary Insomnia: Evidence from a Resting-State fMRI Study. J Clin Sleep Med. 2016, 12(3): 363–374. DOI: 10.5664/jcsm.5586. [link]


  1. Zhan Y*. Theta frequency prefrontal hippocampal driving relationship during free exploration in mice, Neuroscience, 2015, 300:554 565. DOI: 10.1016/j.neuroscience.2015.05.063. [link]


  1. Amendola E, Zhan Y, Mattucci C, Castroflorio E, Calcagno E, Fuchs C, Lonetti G, Silingardi D, Farley D, Ciani E, Pizzorusso T, Giustetto M, Gross C*. Mapping pathological phenotypes in a mouse model of CDKL5 disorder. PLoS ONE. 2014, 9(5), e91613. DOI: 10.1371/journal.pone.0091613. [link]
  2. Zhan Y, Paolicelli RC, Gozzi, A, Pagani F, Gozzi A, Vyssotski A, Bifone A, Ragozzino D, and Gross C*. Deficient neuron-microglia signaling results in impaired functional brain connectivity and social behavior, Nature Neurosci. 2014,17(3): 400-406. DOI: 10.1038/nn.3641. [link]

Before 2014

  1. Zhang X, Kendrick KM, Zhou H, Zhan Y, Feng J*. A Computational Study on Altered Theta-Gamma Coupling during Learning and Phase Coding, PLoS ONE, 2012,7(6), e36472. DOI: 10.1371/journal.pone.0036472. [link]
  2. Kendrick KM, Zhan Y, Fischer H, Nicol AU, Zhang X Feng J*. Learning alters theta amplitude, theta- gamma coupling and neuronal synchronization in inferotemporal cortex. BMC Neurosci. 2011,12:55. DOI: 10.1186/1471-2202-12-55. [link]
  3. Zhan Y*, Kendrick KM, and Feng J. Filtering Noise for Synchronised Activity in Multi-trial Electrophysiology Data using Wiener and Kalman filters. BioSystems. 2009,96:1-13. DOI: 10.1016/j.biosystems.2008.11.007. [link]
  4. Zhan Y, Halliday D, Jiang P, Liu X and Feng J*. Detecting time-dependent coherence between non-stationary electrophysiological signals-A combined statistical and time-frequency approach. J. Neurosci. Methods. 2006,156: 322-332. DOI: 10.1016/j.jneumeth.2006.02.013. [link]