14 Result(s)
within
KaiMing Li
Computer Graphics
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Chapter and Conference Paper
Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection
Recent neuroscience research suggested that cognitive processes can be viewed as functional information flows on a complex neural network. However, computational modeling of cognitive processes based on fMRI d...
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Chapter and Conference Paper
Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI
Due to the difficulties in establishing accurate correspondences of brain network nodes across individual subjects, systematic elucidation of possible functional connectivity (FC) alterations in mild cognitive...
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Chapter and Conference Paper
Anatomy-Guided Discovery of Large-Scale Consistent Connectivity-Based Cortical Landmarks
Establishment of structural and functional correspondences across different brains is one of the most fundamental issues in the human brain map** field. Recently, several multimodal DTI/fMRI studies have dem...
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Chapter and Conference Paper
Constructing Fiber Atlases for Functional ROIs via fMRI-Guided DTI Image Registration
Quantitative map** of the relationship between brain structure and function has emerged as an active research field in order to answer the question of whether brain structure can predict its function. In the...
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Chapter and Conference Paper
Group-Wise Consistent Fiber Clustering Based on Multimodal Connectional and Functional Profiles
Fiber clustering is an essential step towards brain connectivity modeling and tract-based analysis of white matter integrity via diffusion tensor imaging (DTI) in many clinical neuroscience applications. A var...
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Chapter and Conference Paper
Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-view Spectral Clustering
Quantitative modeling and analysis of structural and functional brain networks based on diffusion tensor imaging (DTI)/functional MRI (fMRI) data has received extensive interest recently. However, the regulari...
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Chapter and Conference Paper
Characterization of Task-Free/Task-Performance Brain States
Both resting state fMRI (R-fMRI) and task-based fMRI (T-fMRI) have been widely used to study the functional activities of the human brain during task-free and task-performance periods, respectively. However, d...
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Chapter and Conference Paper
Identification of Cortical Landmarks Based on Consistent Connectivity to Subcortical Structures
Quantitative assessment of structural connectivities between cortical and subcortical regions has been of increasing interest in recent years. This paper proposes an algorithmic pipeline for identification of ...
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Chapter and Conference Paper
Activated Fibers: Fiber-Centered Activation Detection in Task-Based FMRI
In task-based fMRI, the generalized linear model (GLM) is widely used to detect activated brain regions. A fundamental assumption in the GLM model for fMRI activation detection is that the brain’s response, re...
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Chapter and Conference Paper
Fiber-Centered Granger Causality Analysis
Granger causality analysis (GCA) has been well-established in the brain imaging field. However, the structural underpinnings and functional dynamics of Granger causality remain unclear. In this paper, we prese...
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Chapter and Conference Paper
Assessing Regularity and Variability of Cortical Folding Patterns of Working Memory ROIs
Cortical folding patterns are believed to be good predictors of brain cytoarchitecture and function. For instance, neuroscientists frequently apply their domain knowledge to identify brain Regions of Interests...
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Chapter and Conference Paper
Predicting Functional Brain ROIs via Fiber Shape Models
Study of structural and functional connectivities of the human brain has received significant interest and effort recently. A fundamental question arises when attempting to measure the structural and/or functi...
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Chapter and Conference Paper
Discovering Dense and Consistent Landmarks in the Brain
The lack of consistent and reliable functionally meaningful landmarks in the brain has significantly hampered the advancement of brain imaging studies. In this paper, we use white matter fiber connectivity pat...
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Chapter and Conference Paper
Fiber-Centered Analysis of Brain Connectivities Using DTI and Resting State FMRI Data
Recently, inference of functional connectivity between brain regions using resting state fMRI (rsfMRI) data has attracted significant interests in the neuroscience community. This paper proposes a novel fiber-...
