[HTML][HTML] Predicting brain amyloid using multivariate morphometry statistics, sparse coding, and correntropy: validation in 1,101 individuals from the ADNI and OASIS …
Biomarker assisted preclinical/early detection and intervention in Alzheimer's disease (AD)
may be the key to therapeutic breakthroughs. One of the presymptomatic hallmarks of AD is …
may be the key to therapeutic breakthroughs. One of the presymptomatic hallmarks of AD is …
[HTML][HTML] Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes
Accurate, reliable prediction of risk for Alzheimer's disease (AD) is essential for early,
disease-modifying therapeutics. Multimodal MRI, such as structural and diffusion MRI, is …
disease-modifying therapeutics. Multimodal MRI, such as structural and diffusion MRI, is …
[HTML][HTML] Select Atrophied Regions in Alzheimer disease (SARA): An improved volumetric model for identifying Alzheimer disease dementia
Abstract Introduction Volumetric biomarkers for Alzheimer disease (AD) are attractive due to
their wide availability and ease of administration, but have traditionally shown lower …
their wide availability and ease of administration, but have traditionally shown lower …
Hippocampus morphometry study on pathology-confirmed Alzheimer's disease patients with surface multivariate morphometry statistics
Alzheimer's disease (AD) is one of the most prevalent neurodegenerative diseases in
elderly and the incidence of this disease is increasing with older ages. One of the hallmarks …
elderly and the incidence of this disease is increasing with older ages. One of the hallmarks …
[HTML][HTML] Federated morphometry feature selection for hippocampal morphometry associated beta-amyloid and tau pathology
Amyloid-β (Aβ) plaques and tau protein tangles in the brain are now widely recognized as
the defining hallmarks of Alzheimer's disease (AD), followed by structural atrophy detectable …
the defining hallmarks of Alzheimer's disease (AD), followed by structural atrophy detectable …
Improved prediction of imminent progression to clinically significant memory decline using surface multivariate morphometry statistics and sparse coding
Background: Besides their other roles, brain imaging and other biomarkers of Alzheimer's
disease (AD) have the potential to inform a cognitively unimpaired (CU) person's likelihood …
disease (AD) have the potential to inform a cognitively unimpaired (CU) person's likelihood …
Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images …
Biomarkers for dementia of Alzheimer's type (DAT) are sought to facilitate accurate
prediction of the disease onset, ideally predating the onset of cognitive deterioration. T1 …
prediction of the disease onset, ideally predating the onset of cognitive deterioration. T1 …
[HTML][HTML] Comparison of different MRI-based morphometric estimates for defining neurodegeneration across the Alzheimer's disease continuum
SL Allison, RL Koscik, RP Cary, EM Jonaitis… - NeuroImage: Clinical, 2019 - Elsevier
Background Several neurodegeneration (N) metrics using structural MRI are used for the
purpose of Alzheimer's disease (AD)-related staging, including hippocampal volume, global …
purpose of Alzheimer's disease (AD)-related staging, including hippocampal volume, global …
Developing univariate neurodegeneration biomarkers with low-rank and sparse subspace decomposition
Cognitive decline due to Alzheimer's disease (AD) is closely associated with brain structure
alterations captured by structural magnetic resonance imaging (sMRI). It supports the validity …
alterations captured by structural magnetic resonance imaging (sMRI). It supports the validity …
Empowering cortical thickness measures in clinical diagnosis of Alzheimer's disease with spherical sparse coding
Cortical thickness estimation performed in vivo via magnetic resonance imaging (MRI) is an
important technique for the diagnosis and understanding of the progression of Alzheimer's …
important technique for the diagnosis and understanding of the progression of Alzheimer's …