Predicting long‐term clinical stability in amyloid‐positive subjects by FDG‐PET

L Iaccarino, A Sala, D Perani… - Annals of clinical …, 2019 - Wiley Online Library
Imaging biomarkers can be used to screen participants for Alzheimer's disease clinical trials.
To test the predictive values in clinical progression of neuropathology change (amyloid …

Long-term associations between amyloid positron emission tomography, sex, apolipoprotein E and incident dementia and mortality among individuals without …

CR Jack Jr, TM Therneau, ES Lundt… - Brain …, 2022 - academic.oup.com
Dementia and mortality rates rise inexorably with age and consequently interact. However,
because of the major logistical difficulties in accounting for both outcomes in a defined …

Cognitive and functional change over time in cognitively healthy individuals according to Alzheimer disease biomarker-defined subgroups

MA Dubbelman, HMA Hendriksen, JE Harrison… - Neurology, 2024 - AAN Enterprises
Background and Objectives It is unclear to what extent cognitive outcome measures are
sensitive to capture decline in Alzheimer disease (AD) prevention trials. We aimed to …

Drug development for psychotropic, cognitive-enhancing, and disease-modifying treatments for Alzheimer's disease

J Cummings - The Journal of neuropsychiatry and clinical …, 2021 - Am Neuropsych Assoc
Alzheimer's disease (AD) is a progressive neurodegenerative disorder with limited available
therapies. There is progress in developing treatments for neuropsychiatric indications in AD …

DeepAtrophy: Teaching a neural network to detect progressive changes in longitudinal MRI of the hippocampal region in Alzheimer's disease

M Dong, L Xie, SR Das, J Wang, LEM Wisse… - Neuroimage, 2021 - Elsevier
Measures of change in hippocampal volume derived from longitudinal MRI are a well-
studied biomarker of disease progression in Alzheimer's disease (AD) and are used in …

Discovery of novel CSF biomarkers to predict progression in dementia using machine learning

D Gogishvili, EM Vromen, S Koppes-den Hertog… - Scientific reports, 2023 - nature.com
Providing an accurate prognosis for individual dementia patients remains a challenge since
they greatly differ in rates of cognitive decline. In this study, we used machine learning …

Pre‐amyloid stage of Alzheimer's disease in cognitively normal individuals

BM Tijms, L Vermunt, MD Zwan… - Annals of Clinical …, 2018 - Wiley Online Library
Objective To study risk factors for decreasing aβ1–42 concentrations in cerebrospinal fluid
(CSF) in cognitively unimpaired individuals with initially normal amyloid and tau markers …

Regulatory considerations for developing remote measurement technologies for Alzheimer's disease research

G Erdemli, M Grammatikopoulou, B Wagner… - NPJ Digital …, 2024 - nature.com
The Remote Assessment of Disease and Relapse–Alzheimer's Disease (RADAR-AD)
consortium evaluated remote measurement technologies (RMTs) for assessing functional …

Amyloid PET, FDG-PET or MRI?-the power of different imaging biomarkers to detect progression of early Alzheimer's disease

M Ortner, R Drost, D Heddderich, O Goldhardt… - BMC neurology, 2019 - Springer
Background As investigations of disease modifying drugs aim to slow down progression of
Alzheimer'disease (AD) biomarkers to reliably track disease progression gain more …

Preclinical Alzheimer's disease: implications for refinement of the concept

SJB Vos, PJ Visser - Journal of Alzheimer's Disease, 2018 - content.iospress.com
Increasing interest in clinical trials and clinical research settings to identify Alzheimer's
disease (AD) in the earliest stages of the disease has led to the concept of preclinical AD …