PUBLICATIONS

Manuscripts in Preparation

• • Park, S. E., Donoghue, T., Jacobs, J., & Lee, S. A. (2024). Aperiodic neural excitation of the prefrontal cortex offsets age-related decrease in hippocampal theta activity for spatial memory maintenance. bioRxiv, 2024-10. (Under review).              

Journal Articles

2026

• Park, S. E., Chung, J., & Lee, S. A.  (2026). A Digital Tool for Assessing the Distinct Effects of Depression, Anxiety, and ADHD on Children’s Emotional Cognitive Bias: A Cross-Sectional Study. Journal of Medical Internet Research, 

2025

• Lee, J., Park, S. E.✝, & Lee, S. A.✝ (2025). Neural reinstatement and sequential reactivation of navigational episodic memory and its age-related decline. Neuropsychologia, 109319.

• Lim, J., Park, S. E., Lee, S. H., & Lee, S. A. (2025). Canonical cortico-hippocampal dynamics underlie memory of navigational episodes and its early decline in aging. Imaging Neuroscience 3 (2025): IMAG-a. 

2024

• Park, S. E., Chung, J., Lee, J., Kim, M. J., Kim, J., Jeon, H. J., ... & Lee, S. A. (2024). Digital assessment of cognitive-affective biases related to mental health. PLOS Digital Health, 3(8), e0000595. Selected as a cover article. (IF = 7.7, JCR top 3.5%)

2023

• Park, S. E., Lee, J., Park, J., Hwang, M., Lee, S. A. (2023). Cognotyping by what-where-when retrieval reveals the potential role of temporal memory and its neural correlates in understanding individual differences across aging and Alzheimer’s disease. Journal of Cognitive Neuroscience, 35(11), 1773-1787. (IF = 3.0, JCR top 15.2%)

• Park, S. E.*, Lee, J.*, & Lee, S. A. (2023). Domain-general and domain-specific electrophysiological markers of cognitive distance coding for what, where, and when memory retrieval. Journal of Neuroscience, 43(23), 4304-4314.  (IF = 4.0, JCR top 25%)

~2021

• Connolly, M. J.*, Park, S. E.*, Laxpati, N. G., Zaidi, S. A., Ghetiya, M., Fernandez, A., ... & Gross, R. E. (2021). A framework for designing data-driven optimization systems for neural modulation. Journal of Neural Engineering. 18(1). (IF = 3.8, JCR top 30.1%)

• Park, S. E., Connolly, M. J., Exarchos, I., Fernandez, A., Ghetiya, M., Gutekunst, C. A., & Gross, R. E. (2020). Optimizing neuromodulation based on surrogate neural states for seizure suppression in a rat temporal lobe epilepsy model. Journal of Neural Engineering, 17(4). (IF = 3.8, JCR top 30.1%)

• Park, S. E.*, Laxpati, N. G.*, Gutekunst, C. A., Connolly, M. J., Tung, J., Berglund, K., ... & Gross, R. E. (2019). A Machine Learning Approach to Characterize the Modulation of the Hippocampal Rhythms Via Optogenetic Stimulation of the Medial Septum. International journal of neural systems, 1950020-1950020. Selected as 2020 Hojjat Adeli Award for Outstanding Contribution in Neural Systems. (IF = 6.4, JCR top 18.9%)

• Fleischer, C. C., Wu, J., Qiu, D., Park, S. E., Nahab, F., & Dehkharghani, S. (2017). The brain thermal response as a potential neuroimaging biomarker of cerebrovascular impairment. American Journal of Neuroradiology, 38(11), 2044-2051. (IF = 3.7, JCR top 15.6%)

Conference Proceedings

• • Cole, E. R., Connolly, M. J., Park, S. E., Grogan, D. P., Buxton, W., Eggers, T. E., ... & Gross, R. E. (2021, May). Autonomous State Inference for Data-Driven Optimization of Neural Modulation. In 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) (pp. 950-953). IEEE.

  • Park, S. E., Connolly, M. J., & Gross, R. E. (2019, July). A characterization of epileptogenesis presented in hippocampal neural activity in a rat tetanus toxin model. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 3862-3863). IEEE. Selected as lecture presentation 

  • Connolly, M. J., Park, S. E., & Gross, R. E. (2019, July). Learning State-Dependent Neural Modulation Policies with Bayesian Optimization. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 6454-6457). IEEE. Selected as lecture presentation.

  • Park, S. E., Laxpati, N. G., Connolly, M. J., Mahmoudi, B., & Gross, R. E. (2017, July). Predicting the stimulation effectiveness using pre-stimulation neural states via optogenetic activation of the medial septum glutamatergic neurons modulating the hippocampal neural activity. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 2105-2108). IEEE. Selected as lecture presentation.

  • Connolly, M. J., Park, S. E., Gross, R. E., & Mahmoudi, B. (2017, July). A machine learning approach to characterizing the effect of asynchronous distributed electrical stimulation on hippocampal neural dynamics in vivo. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 2122-2125). IEEE. Selected as lecture presentation.

* denotes equal contribution