Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials

MW Weiner, DP Veitch, PS Aisen, LA Beckett… - Alzheimer's & …, 2017 - Elsevier
Abstract Introduction The Alzheimer's Disease Neuroimaging Initiative (ADNI) has continued
development and standardization of methodologies for biomarkers and has provided an …

The Alzheimer's disease neuroimaging initiative 2 PET core: 2015

WJ Jagust, SM Landau, RA Koeppe, EM Reiman… - Alzheimer's & …, 2015 - Elsevier
Introduction This article reviews the work done in the Alzheimer's Disease Neuroimaging
Initiative positron emission tomography (ADNI PET) core over the past 5 years, largely …

Morphological changes in subregions of hippocampus and amygdala in major depressive disorder patients

Z Yao, Y Fu, J Wu, W Zhang, Y Yu, Z Zhang… - Brain imaging and …, 2020 - Springer
Despite many neuroimaging studies in the past years, the neuroanatomical substrates of
major depressive disorder (MDD) subcortical structures are still not well understood. Since …

Influence of APOE genotype on hippocampal atrophy over time-an N= 1925 surface-based ADNI study

B Li, J Shi, BA Gutman, LC Baxter, PM Thompson… - PloS one, 2016 - journals.plos.org
The apolipoprotein E (APOE) e4 genotype is a powerful risk factor for late-onset Alzheimer's
disease (AD). In the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort, we …

Applying surface-based hippocampal morphometry to study APOE-E4 allele dose effects in cognitively unimpaired subjects

Q Dong, W Zhang, J Wu, B Li, EH Schron… - NeuroImage: Clinical, 2019 - Elsevier
Apolipoprotein E (APOE) e4 is the major genetic risk factor for late-onset Alzheimer's
disease (AD). The dose-dependent impact of this allele on hippocampal volumes has been …

A novel pipeline leveraging surface-based features of small subcortical structures to classify individuals with autism spectrum disorder

Y Fu, J Zhang, Y Li, J Shi, Y Zou, H Guo, Y Li… - Progress in Neuro …, 2021 - Elsevier
Autism spectrum disorder (ASD) is accompanied with widespread impairment in social-
emotional functioning. Classification of ASD using sensitive morphological features derived …

Systematic and comprehensive automated ventricle segmentation on ventricle images of the elderly patients: a retrospective study

X Zhou, Q Ye, Y Jiang, M Wang, Z Niu… - Frontiers in Aging …, 2020 - frontiersin.org
Background and Objective: Ventricle volume is closely related to hydrocephalus, brain
atrophy, Alzheimer's, Parkinson's syndrome, and other diseases. To accurately measure the …

Fine‐grained features characterize hippocampal and amygdaloid change pattern in Parkinson's disease and discriminate cognitive‐deficit subtype

L Zhang, P Zhang, Q Dong, Z Zhao… - CNS Neuroscience …, 2024 - Wiley Online Library
Aims To extract vertex‐wise features of the hippocampus and amygdala in Parkinson's
disease (PD) with mild cognitive impairment (MCI) and normal cognition (NC) and further …

Predicting brain amyloid using multivariate morphometry statistics, sparse coding, and correntropy: validation in 1,101 individuals from the ADNI and OASIS databases

J Wu, Q Dong, J Gui, J Zhang, Y Su, K Chen… - Frontiers in …, 2021 - frontiersin.org
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 …

Classification of Alzheimer's disease based on hippocampal multivariate morphometry statistics

W Zheng, H Liu, Z Li, K Li, Y Wang, B Hu… - CNS Neuroscience …, 2023 - Wiley Online Library
Background Alzheimer's disease (AD) is a neurodegenerative disease characterized by
progressive cognitive decline, and mild cognitive impairment (MCI) is associated with a high …