https://scholarworks.unist.ac.kr/handle/201301/7 2026-04-17T05:31:24Z https://scholarworks.unist.ac.kr/handle/201301/91334 Title: Paired Regional Complementarity in Diffusion MRI Reveals Disease-Specific Microstructural Profiles in PD, MSA, and PSP: A Feasibility Study Author(s): Tessema, Abel Worku; Jo, Sungyang; Kim, Young Ro; Lee, Hyoyoung; Lee, Grace Yoojin; Suh, Chong Hyun; Ryu, Jihong; Chung, Sun Ju; Lee, Eun-Jae; Cho, Hyungjoon Abstract: Parkinson’s disease (PD) is a prevalent neurodegenerative disorder characterized by tremor, rigidity, bradykinesia, and postural instability. Atypical Parkinsonian syndromes such as progressive supranuclear palsy (PSP) and multiple system atrophy (MSA) share overlapping clinical features, complicating accurate diagnosis. While prior diffusion MRI studies have used large, opaque machinelearning models, this study explored the best two diffusion metrics to differentiate Parkinsonian syndromes. This strategy introduces a compact and interpretable approach tailored for clinically relevant cohort sizes. We retrospectively analyzed diffusion MRI data from 199 patients (PD: 140, PSP: 20, MSA: 39) and constructed age- and sex-matched subsets comprising 40 PD, 20 PSP, and 34 MSA subjects to ensure controlled and balanced group comparisons. Mean diffusivity (MD) and fractional anisotropy (FA) were extracted from twelve predefined brain regions. Deformation-based morphometry and deterministic tractography were also used to map macrostructural and pathwayspecific changes. Statistical comparisons and logistic regression with cross-validation assessed discriminatory power. MSA patients exhibited significant atrophy, increased MD, and decreased FA in the cerebellum. PSP showed pronounced changes in the superior cerebellar peduncle and corpus callosum. Putamen, corpus callosum, and cerebellum emerged as key discriminators for PD, PSP, and MSA, respectively. A compact and strategically selected set of diffusion features significantly improved disease differentiation. This study demonstrates that interpretable, region-specific complementarily paired diffusion patterns can robustly distinguish PD, PSP, and MSA, offering a transparent and biologically meaningful framework for differential diagnosis and mechanistic understanding. 2026-02-28T15:00:00Z https://scholarworks.unist.ac.kr/handle/201301/91327 Title: Thermoreversible cell-derived extracellular matrix only hydrogel (CEOgel): Development, characterization, and applications Author(s): An, Byoungha; Kwon, Jae Won; Yoon, Heejeong; Park, Tae-Eun; Yang, Seung Won; Park, Kwideok Abstract: Decellularized extracellular matrix (dECM) has been widely used as a biomimetic material for three-dimensional cell culture and tissue regeneration. Although tissue-derived ECM is the conventional source of dECM, cellderived ECM (cECM) has emerged as an attractive alternative. Various cECM-based formulations such as powders, films, and preformed gels have been reported, but thermosensitive cECM hydrogels remain largely unexplored. Here, we report a novel method to produce a thermoreversible hydrogel exclusively made from cECM, termed CEOgel. Once in vitro-cultured umbilical cord mesenchymal stem cells were decellularized, cECM solubility was enhanced and its nanofibers were concentrated to generate CEOgel without additional factors. This fabrication strategy was applicable across multiple cell types and consistently yielded homogeneous gels with minimal donor- or batch-dependent variability. CEOgel exhibited sufficient mechanical stability for in vitro use and formed gels in vivo following injection, confirming its thermosensitive and biocompatible nature. It also served as a functional 3D matrix, supporting endothelial vascularization in microfluidic chips and the growth of colorectal cancer organoids. Proteomic profiling revealed that CEOgel incorporates a broad spectrum of proteins commonly expressed across human tissues. Additionally, we demonstrated that CEOgel properties can be tuned through transition-metal crosslinking and genetically engineering ECM-producing cells. Together, this study proposes a new class of thermoreversible cECM hydrogels that eliminate reliance on animal tissues or external cross-linkers while expanding the applicability of cECM materials and advancing conceptual diversity for ECM hydrogel design. Our findings highlight the potential of CEOgel as a regenerative biomaterial for tissue engineering and medical applications. 2026-05-31T15:00:00Z https://scholarworks.unist.ac.kr/handle/201301/91288 Title: Meter-scale heterostructure printing for high-toughness fiber electrodes in intelligent digital apparel Author(s): Lee, Gun-Hee; Lee, Yunheum; Seo, Hyeonyeob; Jo, Kyunghyun; Yeo, Jinwook; Kim, Semin; Bae, Jae-Young; Kim, Chul; Majidi, Carmel; Kang, Jiheong; Kang, Seung-Kyun; Ryu, Seunghwa; Park, Seongjun Abstract: Intelligent digital apparel, which integrates electronic functionalities into clothing, represents the future of healthcare and ubiquitous control in wearable devices. Realizing such apparel necessitates developing meter-scale conductive fibers with high toughness, conductivity, stable conductance under deformation, and mechanical durability. In this study, we present a heterostructure printing method capable of producing meter-scale (similar to 50 m) biphasic conductive fibers that meet these criteria. Our approach involves encapsulating deformable liquid metal particles (LMPs) within a functionalized thermoplastic polyurethane matrix. This encapsulation induces in situ assembly of LMPs during fiber formation, creating a heterostructure that seamlessly integrates the matrix's durability with the LMPs' superior electrical performance. Unlike rigid conductive materials, deformable LMPs offer stretchability and toughness with a low gauge factor. Through precise twisting using an engineered annealing machine, multiple fiber strands are transformed into robust, electrically stable meter-scale electrodes. This advancement enhances their practicality in various intelligent digital apparel applications, such as stretchable displays, wearable healthcare systems, and digital controls. 2025-04-30T15:00:00Z