Sujin Park

Sujin Park

she/her/hers

Cognitive Science Ph.D. student @ University of California San Diego

Neural/Physiological Biomarkers

My research focuses primarily on identifying biomarkers of well-being, mental health disorders.

So far, I have used various methods such as structural/functional magnetic resonance imaging (MRI), heart rate variability (HRV), skin conductance response (SCR) data.

Below are summary of my publication related to biomarkers.

Neuroimaging Markers

  • Connectome-based predictive modeling framework using diffusion-weighted imaging data in adults (20-80 years old) to predict trait anxiety (Yoo, Park & Kim, 2022)
    image
    Nodes and edges contributing to trait anxiety prediction in young adults (left brain plots) and correlations (right scatter plot) between actual and predicted trait anxiety scores.

  • Inter-subject Representation Similarity Analysis (IS-RSA) on functional connectomes and grit scores in children (11-19 years old) (Park et al., 2023)
    image
    Schematic summary of IS-RSA (left) and intersubject similarity matrix (right) showing individuals with high grit scores are more likely to exhibit a converging pattern of whole-brain functional connectivity while a watching movie.


Physiological Markers

  • Higher resting-state heart rate variability (HRV) in people who tend to appraise situations more positively and persevere amidst setbacks (Yoo, Kim et al., 2025)
  • Grit buffers against physiological stress responses, demonstrated by lower skin conductance response (SCR) in a challenging situation (Jeon et al., 2025)