A5102907137- Functional Brain Connectivity Studies
- Topological and Geometric Data Analysis
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Bioinformatics and Genomic Networks
- Alzheimer's disease research and treatments
- Blind Source Separation Techniques
- Complex Network Analysis Techniques
- Phytoestrogen effects and research
- Tea Polyphenols and Effects
- Health and Wellbeing Research
- Educational Systems and Policies
- Shakespeare, Adaptation, and Literary Criticism
- Attention Deficit Hyperactivity Disorder
- Gaze Tracking and Assistive Technology
- Education and Learning Interventions
- Food Quality and Safety Studies
- Cell Image Analysis Techniques
- Neural Networks and Applications
- Diverse Approaches in Healthcare and Education Studies
- Ferroptosis and cancer prognosis
- Tensor decomposition and applications
- Psychosocial Factors Impacting Youth
- Hepatitis C virus research
Seoul National University Hospital
2014-2025
Pusan National University
2022-2023
Seoul National University
2012-2022
Biomedical Research Institute
2021-2022
Alzheimer’s Disease Neuroimaging Initiative
2021
Ajou University Hospital
2013
University of Wisconsin–Madison
2011-2012
Ajou University
2011
Pohang University of Science and Technology
2003-2009
It is known that the brain network has small-world and scale-free topology, but structures drastically change depending on how to threshold a connectivity matrix. The exact criterion difficult determine. In this paper, instead of trying determine one fixed optimal threshold, we propose look at topological changes while increasing continuously. This process continuously changing level looking resulting feature related Rips filtration in persistent homology. sequence features obtained during...
In addition to helping better understand how the human brain works, brain-computer interface neuroscience paradigm allows researchers develop a new class of bioengineering control devices and robots, offering promise for rehabilitation other medical applications as well exploring possibilities advanced human-computer interfaces.
In this paper we present a method for continuous EEG classification, where employ nonnegative tensor factorization (NTF) to determine discriminative spectral features and use the Viterbi algorithm continuously classify multiple mental tasks. This is an extension of our previous work on matrix (NMF) classification. Numerical experiments with two data sets in BCI competition, confirm useful behavior
<b><i>Background:</i></b> With the increased incidence of diabetes mellitus, importance early intervention in prediabetes has been emphasized. We previously reported that fermented kimchi, a traditional Korean food, reduced body weight and improved metabolic factors overweight participants. hypothesized kimchi its form would have beneficial effects on glucose metabolism patients with prediabetes. <b><i>Methods:</i></b> A total 21 participants...
A cycle in a brain network is subset of connected component with redundant additional connections. If there are many cycles component, the more densely connected. Whereas number components represents integration network, how strong is. However, it unclear to perform statistical inference on network. In this study, we present new framework for determining significance through Kolmogorov-Smirnov (KS) distance, which was recently introduced measure similarity between networks across different...
Abstract Finding underlying relationships among multiple imaging modalities in a coherent fashion is one of the challenging problems multimodal analysis. In this study, we propose novel approach based on multidimensional persistence. extension previous threshold‐free method persistent homology, visualize and discriminate topological change integrated brain networks by varying not only threshold but also mixing ratio between two different modalities. The persistence implemented new bimodal...
Abstract Unraveling the spatial configuration of tumor microenvironment (TME) is crucial for elucidating tumor-immune interactions based on immuno-oncology. We present STopover, a novel approach utilizing spatially resolved transcriptomics (SRT) data and topological analysis to investigate TME. By gradually lowering feature threshold, connected components (CCs) are extracted distance persistence, with Jaccard indices quantifying their overlap, transcriptomic profiles permutated assess...
Community and rich-club detection are a well-known method to extract functionally specialized subnetwork in brain connectivity analysis. They find densely connected subregions with large modularity or high degree studies. However, nodes not the only representation of network shape. In this study, we propose new abnormal holes, which another While component characterizes network's efficiency, holes characterize inefficiency. The proposed differs from existing hole two respects. One is use...
The human brain naturally integrates audiovisual information to improve speech perception. However, in noisy environments, understanding is difficult and may require much effort. Although the network supposed be engaged perception, it unclear how speech-related regions are connected during natural bimodal or unimodal perception with counterpart irrelevant noise. To investigate topological changes of networks at all possible thresholds, we used a persistent homological framework through...
Abstract Movement impairments in Parkinson’s disease (PD) are caused by the degeneration of dopaminergic neurons and consequent disruption connectivity cortico-striatal-thalamic loop. This study evaluated brain metabolic a 6-Hydroxydopamine (6-OHDA)-induced mouse model PD using 18 F-fluorodeoxy glucose positron emission tomography (FDG PET). Fourteen PD-model mice ten control were used for analysis. Voxel-wise t-tests on FDG PET results yielded no significant regional differences between...
Abstract Attention-deficit hyperactivity disorder (ADHD) is a complex brain development characterized by hyperactivity/impulsivity and inattention. A major hypothesis of ADHD lag maturation, which supported mainly anatomical studies evaluating cortical thickness. Here, we analyzed changes topological characteristics whole-brain metabolic connectivity in twelve SHR rats selected as ADHD-model confirming behavior abnormalities using the marble burying test, open field delay discounting task 12...