[HTML][HTML] APOE2: protective mechanism and therapeutic implications for Alzheimer's disease

Z Li, F Shue, N Zhao, M Shinohara, G Bu - Molecular neurodegeneration, 2020 - Springer
Investigations of apolipoprotein E (APOE) gene, the major genetic risk modifier for
Alzheimer's disease (AD), have yielded significant insights into the pathogenic mechanism …

[HTML][HTML] Imaging techniques in Alzheimer's disease: a review of applications in early diagnosis and longitudinal monitoring

WM van Oostveen, ECM de Lange - International journal of molecular …, 2021 - mdpi.com
Background. Alzheimer's disease (AD) is a progressive neurodegenerative disorder
affecting many individuals worldwide with no effective treatment to date. AD is characterized …

[HTML][HTML] Fastsurfer-a fast and accurate deep learning based neuroimaging pipeline

L Henschel, S Conjeti, S Estrada, K Diers, B Fischl… - NeuroImage, 2020 - Elsevier
Traditional neuroimage analysis pipelines involve computationally intensive, time-
consuming optimization steps, and thus, do not scale well to large cohort studies with …

Brain atrophy in Alzheimer's disease and aging

L Pini, M Pievani, M Bocchetta, D Altomare… - Ageing research …, 2016 - Elsevier
Thanks to its safety and accessibility, magnetic resonance imaging (MRI) is extensively used
in clinical routine and research field, largely contributing to our understanding of the …

Brain imaging in Alzheimer disease

KA Johnson, NC Fox… - Cold Spring …, 2012 - perspectivesinmedicine.cshlp.org
Imaging has played a variety of roles in the study of Alzheimer disease (AD) over the past
four decades. Initially, computed tomography (CT) and then magnetic resonance imaging …

Mitigating site effects in covariance for machine learning in neuroimaging data

AA Chen, JC Beer, NJ Tustison, PA Cook… - Human brain …, 2022 - Wiley Online Library
To acquire larger samples for answering complex questions in neuroscience, researchers
have increasingly turned to multi‐site neuroimaging studies. However, these studies are …

[HTML][HTML] A large-scale comparison of cortical thickness and volume methods for measuring Alzheimer's disease severity

CG Schwarz, JL Gunter, HJ Wiste, SA Przybelski… - NeuroImage: Clinical, 2016 - Elsevier
Alzheimer's disease (AD) researchers commonly use MRI as a quantitative measure of
disease severity. Historically, hippocampal volume has been favored. Recently,“AD …

The clinical use of structural MRI in Alzheimer disease

GB Frisoni, NC Fox, CR Jack Jr, P Scheltens… - Nature reviews …, 2010 - nature.com
Structural imaging based on magnetic resonance is an integral part of the clinical
assessment of patients with suspected Alzheimer dementia. Prospective data on the natural …

Highly accurate inverse consistent registration: a robust approach

M Reuter, HD Rosas, B Fischl - Neuroimage, 2010 - Elsevier
The registration of images is a task that is at the core of many applications in computer
vision. In computational neuroimaging where the automated segmentation of brain …

Structural brain changes in aging: courses, causes and cognitive consequences

AM Fjell, KB Walhovd - Reviews in the Neurosciences, 2010 - degruyter.com
The structure of the brain is constantly changing from birth throughout the lifetime, meaning
that normal aging, free from dementia, is associated with structural brain changes. This …