Multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of Alzheimer's disease
The accurate diagnosis of Alzheimer's disease (AD) and its early stage, eg, mild cognitive
impairment (MCI), is essential for timely treatment or possible intervention to slow down AD …
impairment (MCI), is essential for timely treatment or possible intervention to slow down AD …
Four distinct subtypes of Alzheimer's disease based on resting-state connectivity biomarkers
Background Alzheimer's disease (AD) is a neurodegenerative disorder with significant
heterogeneity. Different AD phenotypes may be associated with specific brain network …
heterogeneity. Different AD phenotypes may be associated with specific brain network …
Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimer's disease: diagnosis, longitudinal progress and biological basis
Hippocampal morphological change is one of the main hallmarks of Alzheimer's disease
(AD). However, whether hippocampal radiomic features are robust as predictors of …
(AD). However, whether hippocampal radiomic features are robust as predictors of …
Generalizable, reproducible, and neuroscientifically interpretable imaging biomarkers for Alzheimer's disease
Precision medicine for Alzheimer's disease (AD) necessitates the development of
personalized, reproducible, and neuroscientifically interpretable biomarkers, yet despite …
personalized, reproducible, and neuroscientifically interpretable biomarkers, yet despite …
Hybrid federated learning with brain-region attention network for multi-center Alzheimer's disease detection
Identifying reproducible and interpretable biomarkers for Alzheimer's disease (AD) detection
remains a challenge. AD detection using multi-center datasets can expand the sample size …
remains a challenge. AD detection using multi-center datasets can expand the sample size …
Altered global signal topography in Alzheimer's disease
Background Alzheimer's disease (AD) is a neurodegenerative disease associated with
widespread disruptions in intrinsic local specialization and global integration in the …
widespread disruptions in intrinsic local specialization and global integration in the …
Grab‐AD: generalizability and reproducibility of altered brain activity and diagnostic classification in Alzheimer's disease
Alzheimer's disease (AD) is associated with disruptions in brain activity and networks.
However, there is substantial inconsistency among studies that have investigated functional …
However, there is substantial inconsistency among studies that have investigated functional …
Application of structural and functional connectome mismatch for classification and individualized therapy in Alzheimer disease
H Ren, J Zhu, X Su, S Chen, S Zeng, X Lan… - Frontiers in public …, 2020 - frontiersin.org
While machine learning approaches to analyzing Alzheimer disease connectome
neuroimaging data have been studied, many have limited ability to provide insight in …
neuroimaging data have been studied, many have limited ability to provide insight in …
Characterizing white matter connectivity in Alzheimer's disease and mild cognitive impairment: An automated fiber quantification analysis with two independent …
Alzheimer's disease (AD) is a chronic neurodegenerative disease characterized by
progressive dementia. Diffusion tensor imaging (DTI) has been widely used to show …
progressive dementia. Diffusion tensor imaging (DTI) has been widely used to show …
Quantitative radiomic features as new biomarkers for Alzheimer's disease: An amyloid PET study
Growing evidence indicates that amyloid-beta (Aβ) accumulation is one of the most common
neurobiological biomarkers in Alzheimer's disease (AD). The primary aim of this study was …
neurobiological biomarkers in Alzheimer's disease (AD). The primary aim of this study was …