Selected Publications

Data Analysis Methodology

  1. Hu, X. S., et al. (2020). Photogrammetry-based stereoscopic optode registration method for functional near-infrared spectroscopy. Journal of Biomedical Optics.
  2. Hu, X. S., et al. (2015). Comparison of motion correction techniques applied to functional near-infrared spectroscopy data from children. Journal of Biomedical Optics.
  3. Hu, X. S., et al. (2013). Reduction of trial-to-trial variability in functional near-infrared spectroscopy signals by accounting for resting-state functional connectivity. Journal of Biomedical Optics.
  4. Hu, X. S., et al. (2010). Kalman estimator- and general linear model-based on-line brain activation mapping by near-infrared spectroscopy. Biomedical Engineering Online.

Data Analysis Applications

  1. Hu, X. S., et al. (2021). Brain mechanisms of virtual reality breathing versus traditional mindful breathing in pain modulation. Journal of Medical Internet Research.
  2. Hu, X. S., et al. (2021). Shedding light on pain for the clinic: a comprehensive review of using functional near-infrared spectroscopy to monitor its process in the brain. Pain.
  3. Huang, Y., et al. (2019). Distilling neural representations of data structure manipulation using fMRI and fNIRS. IEEE/ACM ICSE.
  4. Basura, G., et al. (2018). Human central auditory plasticity: a review of functional near-infrared spectroscopy (fNIRS) to measure cochlear implant performance and tinnitus perception. Laryngoscope Investigative Otolaryngology.
  5. Hu, X. S., et al. (2018). Brain functional changes before, during and after clinical pain. Journal of Dental Research.
  6. Hu, X. S., et al. (2016). Feasibility of non-invasive brain modulation for management of pain related to chemoradiotherapy in patients with advanced head and neck cancer. Frontiers in Human Neuroscience.
  7. Arredondo, M. M., et al. (2016). Bilingualism alters children’s frontal lobe functioning for attentional control. Developmental Science.
  8. Racek, A. J., et al. (2015). Different brain responses to pain and its expectation in the dental chair. Journal of Dental Research.
  9. Hu, X. S., et al. (2011). Recognition of stimulus-evoked neuronal optical response by identifying chaos levels of near-infrared spectroscopy time series. Neuroscience Letters.

Machine Learning

  1. Hu, X. S., et al. (2019). Feasibility of a real-time clinical augmented reality and artificial intelligence framework for pain detection and localization from the brain. Journal of Medical Internet Research.
  2. Hu, X. S., et al. (2012). fNIRS-based online deception decoding. Journal of Neural Engineering.

Full publication list available at Google Scholar.