Tootfinder

Non-linear associations of amyloid-$\beta$ with resting-state functional networks and their cognitive relevance in a large community-based cohort of cognitively normal older adults
Junjie Wu, Benjamin B Risk, Taylor A James, Nicholas Seyfried, David W Loring, Felicia C Goldstein, Allan I Levey, James J Lah, Deqiang Qiu
https://arxiv.org/ab…

Non-linear associations of amyloid-$β$ with resting-state functional networks and their cognitive relevance in a large community-based cohort of cognitively normal older adults
Background: Non-linear alterations in brain network connectivity may represent early neural signatures of Alzheimer's disease (AD) pathology in cognitively normal older adults. Understanding these changes and their cognitive relevance could provide sensitive biomarkers for early detection. Most prior studies recruited participants from memory clinics, often with subjective memory concerns, limiting generalizability. Methods: We examined 14 large-scale functional brain networks in 968 cognitiv…

CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis
Alec Sargood, Lemuel Puglisi, James H. Cole, Neil P. Oxtoby, Daniele Rav\`i, Daniel C. Alexander
https://arxiv.org/abs/2508.01292

CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis
Synthesizing amyloid PET scans from the more widely available and accessible structural MRI modality offers a promising, cost-effective approach for large-scale Alzheimer's Disease (AD) screening. This is motivated by evidence that, while MRI does not directly detect amyloid pathology, it may nonetheless encode information correlated with amyloid deposition that can be uncovered through advanced modeling. However, the high dimensionality and structural complexity of 3D neuroimaging data pose si…

“My guess is he is getting Kisunla treatments, a monoclonal antibody drug given by monthly infusions to remove amyloid plaques from his brain. It is given to people with signs of Alzheimer’s who have a family history or other risk factors."
'I Was Thinking the Same Thing!': Trump’s Vanishing Acts Keep Lining Up Too Perfectly—Now the Internet’s Convinced They Know What He’s Been Up To
https://atlantablackstar.com/2025/10/06/trumps-vanishing-acts-keep-lining-up-too-perfectlynow-the-internets-convinced-they-know-what-happens-every-28-days/

ça pourrait être une bonne piste !
"Low dose of lithium reverses Alzheimer's symptoms in mice"
https://www.newscientist.com/article/2491493-low-dose-of-lithium-reverses-alzheimers-symptoms-in-mice/

A Segmentation Framework for Accurate Diagnosis of Amyloid Positivity without Structural Images
Penghan Zhu, Shurui Mei, Shushan Chen, Xiaobo Chu, Shanbo He, Ziyi Liu
https://arxiv.org/abs/2507.22336

A Segmentation Framework for Accurate Diagnosis of Amyloid Positivity without Structural Images
This study proposes a deep learning-based framework for automated segmentation of brain regions and classification of amyloid positivity using positron emission tomography (PET) images alone, without the need for structural MRI or CT. A 3D U-Net architecture with four layers of depth was trained and validated on a dataset of 200 F18-florbetapir amyloid-PET scans, with an 130/20/50 train/validation/test split. Segmentation performance was evaluated using Dice similarity coefficients across 30 br…

"People with no history of dementia still showed elevated amyloid beta buildup if they had a #COVID history, often yielding Alzheimer's-like retinal tissue."
https://www.scienc…

COVID Can Cause Alzheimer's-Like Plaques in Eyes And Brain
COVID-19 could lead to a protein build-up similar to that seen in Alzheimer's patients – not just in the brain, but also in the eyes, according to a new study.

Alz-QNet: A Quantum Regression Network for Studying Alzheimer's Gene Interactions
Debanjan Konar, Neerav Sreekumar, Richard Jiang, Vaneet Aggarwal
https://arxiv.org/abs/2508.04743

Alz-QNet: A Quantum Regression Network for Studying Alzheimer's Gene Interactions
Understanding the molecular-level mechanisms underpinning Alzheimer's disease (AD) by studying crucial genes associated with the disease remains a challenge. Alzheimer's, being a multifactorial disease, requires understanding the gene-gene interactions underlying it for theranostics and progress. In this article, a novel attempt has been made using a quantum regression to decode how some crucial genes in the AD Amyloid Beta Precursor Protein ($APP$), Sterol regulatory element binding transcript…

Pyk2 plays a critical role in synaptic dysfunction during the early stages of Alzheimer's disease
Quentin Rodriguez (GIN, UGA), Floriane Payet (GIN, UGA), Karina Vargas-Baron (GIN, UGA), Eve Borel (GIN, UGA), Fabien Lant\'e (GIN, UGA), Sylvie Boisseau (GIN, UGA), B\'eatrice Blot (GIN, UGA), Jean-Antoine Girault (IFM - Inserm U1270 - SU, INSERM), Alain Buisson (GIN, UGA)

Pyk2 plays a critical role in synaptic dysfunction during the early stages of Alzheimer's disease
Background: The locus of the gene PTK2B encoding the tyrosine kinase Pyk2 has been associated with the risk of late-onset Alzheimer's disease, the predominant form of dementia. Pyk2 is primarily expressed in neurons where it is involved in excitatory neurotransmission and synaptic functions. Although previous studies have implicated Pyk2 in amyloid-$β$ and Tau pathologies of Alzheimer's disease, its exact role remains unresolved, with evidence showing both detrimental and protective effects in…

Alzheimer's Clinical Research Data via R Packages: the alzverse
Michael C. Donohue (for the Alzheimer's Disease Neuroimaging Initiative), Kedir Hussen (for the Alzheimer's Disease Neuroimaging Initiative), Oliver Langford (for the Alzheimer's Disease Neuroimaging Initiative), Richard Gallardo (for the Alzheimer's Disease Neuroimaging Initiative), Gustavo Jimenez-Maggiora (for the Alzheimer's Disease Neuroimaging Initiative), Paul S. Aisen (for the Alzheimer'…

Alzheimer's Clinical Research Data via R Packages: the alzverse
Sharing clinical research data is essential for advancing research in Alzheimer's disease (AD) and other therapeutic areas. However, challenges in data accessibility, standardization, documentation, usability, and reproducibility continue to impede this goal. In this article, we highlight the advantages of using R packages to overcome these challenges using two examples. The A4LEARN R package includes data from a randomized trial (the Anti-Amyloid Treatment in Asymptomatic Alzheimer's [A4] stud…