Tootfinder

Three-Dimensional Amyloid-Beta PET Synthesis from Structural MRI with Conditional Generative Adversarial Networks
Fernando Vega, Abdoljalil Addeh, M. Ethan MacDonald
https://arxiv.org/abs/2405.02109

Three-Dimensional Amyloid-Beta PET Synthesis from Structural MRI with Conditional Generative Adversarial Networks
Motivation: Alzheimer's Disease hallmarks include amyloid-beta deposits and brain atrophy, detectable via PET and MRI scans, respectively. PET is expensive, invasive and exposes patients to ionizing radiation. MRI is cheaper, non-invasive, and free from ionizing radiation but limited to measuring brain atrophy. Goal: To develop an 3D image translation model that synthesizes amyloid-beta PET images from T1-weighted MRI, exploiting the known relationship between amyloid-beta and brain atrophy. …

Studies in mice have found that exposure to light flickering at 40 hertz or sounds with a pitch of 40 hertz can stimulate gamma waves in the brain, which has many protective effects, including preventing the formation of amyloid beta plaques.
Using light and sound together provides even more significant protection.
The treatment also appears promising in humans: Phase 1 clinical trials in people with early-stage Alzheimer’s disease have found the treatment is safe and does offer…

A noninvasive treatment for “chemo brain”
A noninvasive treatment may help to counter “chemo brain” impairment often seen in chemotherapy patients: Exposure to light and sound with a frequency of 40 hertz protected brain cells from chemotherapy-induced damage in mice, MIT researchers found.

New #research suggests that 40Hz audiovisual stimuli may help the #brain cleanse itself of #amyloid proteins, thereby helping mitigate symptoms of

Sensory Stimulation Detoxifies the Alzheimer’s Brain
40-Hz sound and light oscillations activate the brain’s waste-disposal function

Gold Recovery from E-Waste by Food-Waste Amyloid Aerogels
#gold #waste #circulareconomy #recycling

Exploring tau protein and amyloid-beta propagation: a sensitivity analysis of mathematical models based on biological data
Mattia Corti
https://arxiv.org/abs/2404.14169

Exploring tau protein and amyloid-beta propagation: a sensitivity analysis of mathematical models based on biological data
Alzheimer's disease is the most common dementia worldwide. Its pathological development is well known to be connected with the accumulation of two toxic proteins: tau protein and amyloid-$β$. Mathematical models and numerical simulations can predict the spreading patterns of misfolded proteins in this context. However, the calibration of the model parameters plays a crucial role in the final solution. In this work, we perform a sensitivity analysis of heterodimer and Fisher-Kolmogorov models t…

Graph Theory and GNNs to Unravel the Topographical Organization of Brain Lesions in Variants of Alzheimer's Disease Progression
Leopold Hebert-Stevens, Gabriel Jimenez, Benoit Delatour, Lev Stimmer, Daniel Racoceanu
https://arxiv.org/abs/2403.00636

Graph Theory and GNNs to Unravel the Topographical Organization of Brain Lesions in Variants of Alzheimer's Disease Progression
This study utilizes graph theory and deep learning to assess variations in Alzheimer's disease (AD) neuropathologies, focusing on classic (cAD) and rapid (rpAD) progression forms. It analyses the distribution of amyloid plaques and tau tangles in postmortem brain tissues. Histopathological images are converted into tau-pathology-based graphs, and derived metrics are used for statistical analysis and in machine learning classifiers. These classifiers incorporate SHAP value explainability to diff…

Interaction between U-shaped amyloid beta fibril and semiconducting silicon nitride monolayer
Ashkan Shekaari
https://arxiv.org/abs/2403.10536 https://

Interaction between U-shaped amyloid beta fibril and semiconducting silicon nitride monolayer
Motivated by some recent works showing the ability of semiconducting monolayers to disintegrate the structures of biological fibrils, we have applied molecular dynamics (MD) simulations in both classical and quantum regimes to investigate whether semiconducting Si$_3$N$_4$ monolayer has the same ability on interaction with U-shaped amyloid beta (A$β$) fibril. A number of conventional MD indicators have then been calculated including root mean square deviation, gyration radius, per-residue root…

Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning
Xilin Yang, Bijie Bai, Yijie Zhang, Musa Aydin, Sahan Yoruc Selcuk, Zhen Guo, Gregory A. Fishbein, Karine Atlan, William Dean Wallace, Nir Pillar, Aydogan Ozcan
https://arxiv.org/ab…

Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning
Systemic amyloidosis is a group of diseases characterized by the deposition of misfolded proteins in various organs and tissues, leading to progressive organ dysfunction and failure. Congo red stain is the gold standard chemical stain for the visualization of amyloid deposits in tissue sections, as it forms complexes with the misfolded proteins and shows a birefringence pattern under polarized light microscopy. However, Congo red staining is tedious and costly to perform, and prone to false dia…

Analysing heterogeneity in Alzheimer Disease using multimodal normative modelling on ATN biomarkers
Sayantan Kumara, Thomas Earnest, Braden Yang, Deydeep Kothapalli, Tammie L. S. Benzinger, Brian A. Gordon, Philip Payne, Aristeidis Sotiras
https://arxiv.org/abs/2404.05748

Analysing heterogeneity in Alzheimer Disease using multimodal normative modelling on ATN biomarkers
Alzheimer Disease (AD) is a multi-faceted disorder, with each modality providing unique and complementary info about AD. In this study, we used a deep-learning based multimodal normative model to assess the heterogeneity in regional brain patterns for ATN (amyloid-tau-neurodegeneration) biomarkers. We selected discovery (n = 665) and replication (n = 430) cohorts with simultaneous availability of ATN biomarkers: Florbetapir amyloid, Flortaucipir tau and T1-weighted MRI (magnetic resonance imagi…