Disease progression modeling with temporal realignment: An emerging approach to deepen knowledge on chronic diseases

H Yoshioka, R Jin, A Hisaka, H Suzuki - Pharmacology & Therapeutics, 2024 - Elsevier
The recent development of the first disease-modifying drug for Alzheimer's disease
represents a major advancement in dementia treatment. Behind this breakthrough is a …

Statistical disease progression modeling in Alzheimer disease

LL Raket - Frontiers in big Data, 2020 - frontiersin.org
Background: The characterizing symptom of Alzheimer disease (AD) is cognitive
deterioration. While much recent work has focused on defining AD as a biological construct …

Graph models of pathology spread in Alzheimer's disease: an alternative to conventional graph theoretic analysis

A Raj - Brain connectivity, 2021 - liebertpub.com
Background: Graph theory and connectomics are new techniques for uncovering disease-
induced changes in the brain's structural network. Most prior studied have focused on …

A multivariate nonlinear mixed effects model for longitudinal image analysis: Application to amyloid imaging

M Bilgel, JL Prince, DF Wong, SM Resnick… - Neuroimage, 2016 - Elsevier
It is important to characterize the temporal trajectories of disease-related biomarkers in order
to monitor progression and identify potential points of intervention. These are especially …

[PDF][PDF] Kognitiivisten toimintojen muutokset-mikä on ikääntymistä, mikä sairautta?

E Vuoksimaa - Duodecim, 2019 - researchportal.helsinki.fi
Kognitiivinen ikääntyminen kuuluu läpi elämän tapahtuviin muutoksiin muistissa ja muissa
tiedon käsittelyyn liittyvissä toiminnoissa. Monet kognition osaalueet alkavat heiketä jo …

Progression models for repeated measures: Estimating novel treatment effects in progressive diseases

LL Raket - Statistics in Medicine, 2022 - Wiley Online Library
Mixed models for repeated measures (MMRMs) are ubiquitous when analyzing outcomes of
clinical trials. However, the linearity of the fixed‐effect structure in these models largely …

Computational causal modeling of the dynamic biomarker cascade in Alzheimer's disease

JR Petrella, W Hao, A Rao… - … methods in medicine, 2019 - Wiley Online Library
Background. Alzheimer's disease (AD) is a major public health concern, and there is an
urgent need to better understand its complex biology and develop effective therapies. AD …

Pupillary dilation responses as a midlife indicator of risk for Alzheimer's disease: association with Alzheimer's disease polygenic risk

WS Kremen, MS Panizzon, JA Elman, EL Granholm… - Neurobiology of …, 2019 - Elsevier
Locus coeruleus (LC) tau accumulation begins early. Targeting LC (dys) function might
improve early identification for Alzheimer's disease (AD) risk. Pupillary responses during …

[HTML][HTML] Robust parametric modeling of Alzheimer's disease progression

MM Ghazi, M Nielsen, A Pai, M Modat, MJ Cardoso… - Neuroimage, 2021 - Elsevier
Quantitative characterization of disease progression using longitudinal data can provide
long-term predictions for the pathological stages of individuals. This work studies the robust …

Amyloid-β positivity predicts cognitive decline but cognition predicts progression to amyloid-β positivity

JA Elman, MS Panizzon, DE Gustavson, CE Franz… - Biological …, 2020 - Elsevier
Abstract Background Stage 1 of the National Institute on Aging–Alzheimer's Association's
proposed Alzheimer's disease continuum is defined as amyloid-β (Aβ) positive but …