[HTML][HTML] A systematic comparison of VBM pipelines and their application to age prediction
Voxel-based morphometry (VBM) analysis is commonly used for localized quantification of
gray matter volume (GMV). Several alternatives exist to implement a VBM pipeline …
gray matter volume (GMV). Several alternatives exist to implement a VBM pipeline …
Predicting age of onset and progression of disease in late-onset genetic neurodegenerative diseases: An ethics review and research agenda
M Rensink, I Bolt, M Schermer - European Journal of Human Genetics, 2024 - nature.com
Currently, a prognostic biomarker-based model is being developed to predict the onset and
disease progression of Huntington's Disease (HD) and Spinocerebellar Ataxia (SCA) types …
disease progression of Huntington's Disease (HD) and Spinocerebellar Ataxia (SCA) types …
Enhanced neuroimaging genetics using multi-view non-negative matrix factorization with sparsity and prior knowledge
Neuroimaging genetics is a powerful approach to jointly explore genetic features with rich
brain imaging phenotypes for neurodegenerative diseases. Conventional imaging genetics …
brain imaging phenotypes for neurodegenerative diseases. Conventional imaging genetics …
Exploring Brain Structural and Functional Biomarkers in Schizophrenia via Brain-Network-Constrained Multi-View SCCA
P Song, Y Wang, X Yuan, S Wang… - Frontiers in Neuroscience, 2022 - frontiersin.org
Recent studies have proved that dynamic regional measures extracted from the resting-state
functional magnetic resonance imaging, such as the dynamic fractional amplitude of low …
functional magnetic resonance imaging, such as the dynamic fractional amplitude of low …
[HTML][HTML] Multimodal analysis of disease onset in Alzheimer's disease using Connectome, Molecular, and genetics data
Alzheimer's disease (AD) and its related age at onset (AAO) are highly heterogeneous, due
to the inherent complexity of the disease. They are affected by multiple factors, such as …
to the inherent complexity of the disease. They are affected by multiple factors, such as …
[HTML][HTML] Longitudinal study investigating the influence of COMT gene polymorphism on cortical thickness changes in Parkinson's disease over four years
A Tajerian - Scientific Reports, 2024 - nature.com
Parkinson's disease (PD) is a progressive neurodegenerative disorder affecting over 3% of
those over 65. It's caused by reduced dopaminergic neurons and Lewy bodies, leading to …
those over 65. It's caused by reduced dopaminergic neurons and Lewy bodies, leading to …
Stereology of the Human Caudate Nucleus
JC Delgado-González, E Artacho-Pérula - Advances in Stereology for …, 2024 - Springer
Precise and unbiased quantitative estimations are often necessary in biomedical sciences.
Stereological procedures, which were first applied in the 1970s, are widely used nowadays …
Stereological procedures, which were first applied in the 1970s, are widely used nowadays …
Interpretable Machine Learning and Deep Learning Frameworks for Predictive Analytics and Biomarker Discovery from Multimodal Imaging Genetics Data
S Ghosal - 2023 - jscholarship.library.jhu.edu
In healthcare, neuroimaging studies and genetics research are generating torrents of data to
understand the hereditary components of neurological and psychiatric disorders …
understand the hereditary components of neurological and psychiatric disorders …
Review of computational approaches to Parkinson's disease gene prediction
Parkinson's disease is a chronic neuro-degenerative disease that affects the central nervous
system. Since the causes of the disease are still unknown, both genetic and environmental …
system. Since the causes of the disease are still unknown, both genetic and environmental …