publications

2024

1. J Neurosci Methods

   Data processing techniques impact quantification of cortico-cortical evoked potentials

   Levinson, L H, Sun, S, Paschall, C J, Perks, K M, Weaver, K E, Perlmutter, S I, Ko, A L, Ojemann, J G, and Herron, J A

   Journal of Neuroscience Methods 2024

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2022

1. IEEE

   Human intracortical responses to varying electrical stimulation conditions are separable in low-dimensional subspaces

   Sun, Samantha, Levinson, Lila H., Paschall, Courtnie J., Herron, Jeffrey, Weaver, Kurt, Hauptman, Jason, Ko, Andrew, Ojemann, Jeffrey, and Rao, Rajesh P. N.

   2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2022

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2020

1. IEEE

   Unsupervised Sleep and Wake State Identification in Long-Term Electrocorticography Recordings

   Sun, Samantha, Jiang, Linxing Preston, Peterson, Steven M, Herron, Jeffrey, Weaver, Kurt, Ko, Andrew, Ojemann, Jeffrey, and Rao, Rajesh PN

   2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2020

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   Studying the neural correlates of sleep can lead to revelations in our understanding of sleep and its interplay with different neurological disorders. Sleep research relies on manual annotation of sleep stages based on rules developed for healthy adults. Automating sleep stage annotation can expedite sleep research and enable us to better understand atypical sleep patterns. Our goal was to create a fully unsupervised approach to label sleep and wake states in human electro-corticography (ECoG) data from epilepsy patients. Here, we demonstrate that with continuous data from a single ECoG electrode, hidden semi-Markov models (HSMM) perform best in classifying sleep/wake states without excessive transitions, with a mean accuracy (n=4) of 85.2% compared to using K-means clustering (72.2%) and hidden Markov models (81.5%). Our results confirm that HSMMs produce meaningful labels for ECoG data and establish the groundwork to apply this model to cluster sleep stages and potentially other behavioral states.

2019

1. J Neurotrauma

   Longitudinal clinical and neuroimaging evaluation of symptomatic concussion in 10-to 14-Year-Old youth athletes

   Mac Donald, Christine L, Barber, Jason, Wright, Jason, Coppel, David, De Lacy, Nina, Ottinger, Steve, Peck, Suzanne, Panks, Chris, Sun, Samantha, Zalewski, Kody, and others,

   Journal of Neurotrauma 2019

2018

1. J Head Trauma Rehabil

   Quantitative volumetric imaging and clinical outcome characterization of symptomatic concussion in 10-to 14-year-old adolescent athletes

   Mac Donald, Christine L, Barber, Jason, Wright, Jason, Coppel, David, De Lacy, Nina, Ottinger, Steve, Peck, Suzanne, Panks, Chris, Zalewski, Kody, Sun, Samantha, and others,

   The Journal of Head Trauma Rehabilitation 2018

2017

1. NeuroImage Clin.

   5-Year imaging sequelae of concussive blast injury and relation to early clinical outcome

   Mac Donald, Christine L, Barber, Jason, Andre, Jalal, Evans, Nicole, Panks, Chris, Sun, Samantha, Zalewski, Kody, Sanders, R Elizabeth, and Temkin, Nancy

   Neuroimage: Clinical 2017