The future of Alzheimer's disease: the next 10 years
Alzheimer's disease (AD) is a fast growing world-wide epidemic. AD is a genetically
complex, slowly progressive, and irreversible neurodegenerative disease of the brain …
complex, slowly progressive, and irreversible neurodegenerative disease of the brain …
Fusing DTI and fMRI data: a survey of methods and applications
The relationship between brain structure and function has been one of the centers of
research in neuroimaging for decades. In recent years, diffusion tensor imaging (DTI) and …
research in neuroimaging for decades. In recent years, diffusion tensor imaging (DTI) and …
Predicting brain structural network using functional connectivity
Uncovering the non-trivial brain structure–function relationship is fundamentally important
for revealing organizational principles of human brain. However, it is challenging to infer a …
for revealing organizational principles of human brain. However, it is challenging to infer a …
Sparse representation of whole-brain fMRI signals for identification of functional networks
There have been several recent studies that used sparse representation for fMRI signal
analysis and activation detection based on the assumption that each voxel's fMRI signal is …
analysis and activation detection based on the assumption that each voxel's fMRI signal is …
Representing and retrieving video shots in human-centric brain imaging space
Meaningful representation and effective retrieval of video shots in a large-scale database
has been a profound challenge for the image/video processing and computer vision …
has been a profound challenge for the image/video processing and computer vision …
Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients
Functional connectomes (FCs) have been recently shown to be powerful in characterizing
brain conditions. However, many previous studies assumed temporal stationarity of FCs …
brain conditions. However, many previous studies assumed temporal stationarity of FCs …
Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification
Recent works have shown that hyper-networks derived from blood-oxygen-level-dependent
(BOLD) fMRI, where an edge (called hyper-edge) can be connected to more than two nodes …
(BOLD) fMRI, where an edge (called hyper-edge) can be connected to more than two nodes …
DICCCOL: dense individualized and common connectivity-based cortical landmarks
Is there a common structural and functional cortical architecture that can be quantitatively
encoded and precisely reproduced across individuals and populations? This question is still …
encoded and precisely reproduced across individuals and populations? This question is still …
[HTML][HTML] Research on early diagnosis of Alzheimer's disease based on dual fusion cluster graph convolutional network
L Meng, Q Zhang - Biomedical Signal Processing and Control, 2023 - Elsevier
Abstract Objective Mild Cognitive Impairment (MCI) is an early stage of Alzheimer's Disease
(AD), often mistaken for natural aging. Early detection and treatment of MCI are crucial for …
(AD), often mistaken for natural aging. Early detection and treatment of MCI are crucial for …
Fiber clustering versus the parcellation-based connectome
We compare two strategies for modeling the connections of the brain's white matter: fiber
clustering and the parcellation-based connectome. Both methods analyze diffusion …
clustering and the parcellation-based connectome. Both methods analyze diffusion …