우충완 교수

Background and Purpose Similar-sized stroke lesions at similar locations can have different prognoses in clinical practice. Lesion-network mapping elucidates network-level effects of lesions that cause specific neurologic symptoms and signs, and also provides a group-level understanding. This study visualized the effects of stroke lesions on the functional brain networks of individual patients. Methods We enrolled patients with ischemic stroke who were hospitalized within 1 week of the stroke oc

Functional connectivity reveals brain attractors that match predictions of free‑energy‑minimizing attractor theory, yielding an interpretable generative model of brain dynamics in rest, task, and disease.

Data and scripts for Lux, B. K., et al. Body map-based predictive models of spontaneous thought This repository contains the MATLAB implementation for the processing, modeling, and neural analysis of bodily sensation maps associated with spontaneous thought. Article Title: Body map-based predictive models of spontaneous thought. Article Authors: Byeol Kim Lux, Hyemin Shin, Hong Ji Kim, Choong-Wan Woo System Requirements Software: MATLAB (R2021a or later recommended) Toolboxes: CanlabCore CocoanC

Modeling Spontaneous Thought: A Network- and Langauge-based Computational Method This repository includes the data and codes to generate analysis results and figures. Data anonymization To ensure participant confidentiality, we replaced all reported concepts and details—including names mentioned in their personal narratives—with alphanumeric codes. This anonymization process did not compromise the integrity of our analysis, and the results align with our published findings. Dependencies CanlabCo